Burnout Prevalence Among Postgraduate Medical Trainees in the Eastern Health Cluster, Saudi Arabia: A Cross-Sectional Study

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Alzain, Fahad Almsned, Nada A. AlBunaian, Fahad Alotaibi, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4997589/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background: Burnout among medical professionals is recognized globally, with significant implications for mental health and patient care. This study evaluates the prevalence of burnout among postgraduate medical trainees in the Eastern Health Cluster of Saudi Arabia, aiming to fill the research gap in this region, where specific cultural and training factors may contribute uniquely to burnout. Methods: A cross-sectional study was conducted from March to June 2024 across various healthcare facilities within the Eastern Health Cluster. A total of 422 postgraduate medical trainees participated, providing data through a Google Form survey, which included the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS(MP)). Results: The study found a high prevalence of burnout symptoms among trainees: 30.3% reported high levels of emotional exhaustion, 24.9% reported high levels of depersonalization, and a significant 86.3% felt low levels of personal accomplishment. Burnout rates varied significantly across specialties and training levels, suggesting targeted interventions were needed. Conclusions: The high prevalence of burnout underscores the critical need for tailored preventive strategies and interventions within the training environments to effectively address and mitigate burnout among medical trainees. Future research should explore longitudinal interventions to reduce burnout and enhance trainee well-being. Burnout Syndrome Postgraduate Medical Trainees Eastern Health Cluster Maslach Burnout Inventory Emotional Exhaustion Depersonalization Personal Accomplishment Saudi Arabia Medical Education Introduction Burnout, defined as a syndrome of emotional exhaustion, depersonalization, and diminished personal accomplishment, is increasingly recognized as a pervasive issue among medical professionals ( 1 ). Globally, a meta-analysis revealed that the pooled prevalence of burnout across 47 countries is approximately 48%, with variations ranging from 28–85% among postgraduate medical populations ( 2 , 3 ). The rigorous nature of postgraduate medical training, marked by long hours, substantial workloads, and high-stress environments, considerably heightens the risk of burnout among trainees ( 4 ). Recent efforts to address this critical issue include the implementation of resilience curricula within medical education ( 5 ). Such curricula aim to equip medical trainees with coping skills, self-efficacy, goal-setting abilities, and emotional regulation skills, helping them manage stress and reduce the risk of burnout. Studies assessing the effectiveness of these interventions have shown promising results in enhancing the well-being of medical students and residents, fostering a healthier educational environment​ ( 6 ). Shifting the focus to local observations in Saudi Arabia, a detailed study conducted at King Abdulaziz Medical City and two other healthcare facilities in Buraidah, Qassim Province, reported an 81% burnout rate among residents in medical and surgical programs ( 7 ). This study highlighted significant levels of emotional exhaustion and depersonalization, which are core aspects of burnout. Notably, no significant correlation was found between the number of working hours and the prevalence of burnout, suggesting the influence of other factors. During the COVID-19 pandemic, healthcare workers, including medical trainees, reported a substantial level of burnout and stress, with 60.5% of individuals aged 22–35 experiencing notable stress ( 8 ). The research also detailed various coping strategies adopted by healthcare professionals during this challenging period. Furthermore, a comprehensive systematic review of nine studies on burnout among medical residents, primarily using the Maslach Burnout Inventory (MBI) or its variations, revealed that burnout prevalence ranged from 24.1–85.5% ( 9 ). This significant variation, comparable to global levels, could be explained by methodologies, sample sizes, assessment tools, and medical specialties. Furthermore, unique cultural factors such as the hierarchical structure of the healthcare system, gender segregation in the workplace, and limited social support systems also contribute to these disparities in burnout rates ( 10 ). This study aims to address a notable void in existing research by examining burnout prevalence among postgraduate medical trainees in the Eastern Province of Saudi Arabia, where data on this subject are particularly scarce. The distinctiveness of the Saudi educational environment, predominantly characterized by a consultant-driven approach in governmental settings, potentially introduces unique stressors affecting trainee well-being. By conducting a meticulous analysis of burnout and its contributory factors within this unique context, this research is poised to offer pivotal insights into the experiences of postgraduate trainees in the region. The results illuminate the scope of burnout and inform the development of targeted interventions to enhance well-being and mitigate burnout among medical trainees. Materials and methods Ethical approval This study complied with the Declaration of Helsinki and was approved by the Institutional Review Board (IRB) of the Erada Complex and Mental Health Hospital in Dammam, with approval number MED008. Study Design This cross-sectional study, conducted from March 31, 2024, to June 30, 2024, involved various healthcare facilities across the Eastern Health Cluster (EHC) in the Eastern Province of Saudi Arabia. Enrolled participants were Postgraduate Medical Trainees (PGMTs) who had been active in residency, fellowship, or diploma programs accredited by the Saudi Commission for Health Specialties (SCFHS) for at least six months and provided informed written consent. The study sites encompassed diverse healthcare settings, including King Fahad Specialist Hospital-Dammam, a tertiary care facility; specialized hospitals like Maternity and Children Hospital–Dammam, Erada Complex for Mental Health–Dammam, and Eye Specialist Hospital–Dhahran; secondary care providers such as Dammam Medical Complex and Qatif Central Hospital; and the Family Medicine Academy, a primary healthcare center. It targeted a specific cohort of 920 PGMTs from residency programs and 153 from fellowship and diploma programs, as detailed in the 2023-2024 annual academic report. Participants were selected via convenience sampling due to logistical and time constraints, allowing for the expedient selection of readily available trainees from each facility. While this method does not ensure a representative sample of all trainees within the cluster, it facilitates efficient data collection within the operational confines of the study. Data was collected using a tailored Google Form, which captured sociodemographic information, detailed elements of the training programs, and responses to the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS(MP)). The form was distributed electronically through email and official communication channels within the Eastern Health Cluster, ensuring broad accessibility for all participants. It was designed to ensure anonymous and confidential survey data submission, protecting participant privacy. Study Variables and Data Collection The survey consisted of three parts. The first part covered demographic variables, including age, sex, marital status, hometown, and smoking habits. The second part focused on specific aspects of the training programs, such as type of training program—residency, fellowship, or diploma; training level—junior, senior, or fellowship; specialty; type of on-call duty—in-house or home call; number of on-call hours; and training center. The last part of the survey incorporated the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS (MP)), which assessed burnout across three subscales: emotional exhaustion (EE), depersonalization (DP), and personal accomplishment (PA). The emotional exhaustion subscale consisted of 9 items that measured feelings of being emotionally overextended and exhausted, where higher scores indicated greater experienced burnout. The depersonalization subscale included 5 items assessing an unfeeling and impersonal response toward patients, with higher scores suggesting more severe burnout. Finally, the 8-item personal accomplishment subscale evaluated feelings of competence and achievement in one’s work, with lower scores indicating greater experienced burnout. These scales have been referenced in the literature to provide empirical support for their application and interpretation (11–13). Statistical analyses We received 816 initial responses to the online form, achieving a response rate of 76.1%. After excluding incomplete submissions, the study successfully included 422 participants, yielding a completion rate of 39.3%. This cohort consisted of 177 males (41.9%) and 245 females (58.1%). Data analysis was performed using the Statistical Package for Social Sciences (SPSS) version 25 for Windows. Descriptive statistics were applied to summarize the data, presenting results as mean ± standard deviation for continuous variables and as frequencies and percentages for categorical variables, all accompanied by 95% confidence intervals (CIs). Inferential statistics were employed to probe the relationships between variables, with a significance threshold established at p<0.05. A linear-by-linear association test was used to assess relationships between two qualitative variables, at least one of which was ordinal. Results Characteristics of Medical Trainees in the Eastern Health Cluster The study included 422 participants, with an average age of 28.75 years (SD = 3.58, range: 24–58 years). Of these, 41.9% (n=177) were male and 58.1% (n=245) were female. Regarding marital status, 46.7% (n=197) were single, 52.8% (n=223) were married, and the remainder were either divorced or separated (0.2% each, n=1 for both). Most participants resided within the Eastern province (80.8%, n=341), while 19.2% (n=81) came from outside the Eastern province. Participants were primarily enrolled in residency programs (89.1%, n=376), with smaller numbers in fellowship (4.7%, n=20) and diploma programs (6.2%, n=26). The training levels were categorized as junior (61.4%, n=259) and senior (38.6%, n=163). Most participants were non-smokers (86.0%, n=363), and 14.0% (n=59) reported smoking habits. Regarding on-call duties, 74.4% (n=314) had in-house calls, whereas 25.6% (n=108) had home calls. The number of on-call hours varied, with 14.2% (n=60) not performing any on-call duties, 12.6% (n=53) on 8-hour calls, 21.1% (n=89) on 12-hour calls, 19.0% (n=80) on 16-hour calls, 29.1% (n=123) on 24-hour calls, and 4.0% (n=17) exceeding 24-hour calls. Participants were distributed across various specialties, with the most common being family medicine (24.4%, n=103), internal medicine (19.7%, n=83), and pediatrics (8.3%, n=35). The training centers with the highest number of participants included the Family Medicine Academy (21.1%, n=89), Qatif Central Hospital (22.0%, n=93), and King Fahad Specialist Hospital (19.7%, n=83). Table 1 . Demographic and Professional Characteristics of Postgraduate Medical Trainees in the Eastern Health Cluster Age Mean ± SD Range 28.75 ± 3.58 24 – 58 Number % Sex Male 177 41.9% Female 245 58.1% Marital Status Single 197 46.7% Married 223 52.8% Divorced 1 0.2% Separated 1 0.2% Hometown Within Eastern Province 341 80.8% Outside Eastern Province 81 19.2% Type of Training Program Residency 376 89.1% Fellowship 20 4.7% Diploma 26 6.2% Training Level Junior 259 61.4% Senior 163 38.6% Smoking Habit No 363 86.0% Yes 59 14.0% Type of On-Call In-House 314 74.4% Home 108 25.6% Number of Hours of On-Call None 60 14.2% 8 hrs 53 12.6% 12 hrs 89 21.1% 16 hrs 80 19.0% 24 hrs 123 29.1% >24 hrs 17 4.0% Training Program Specialty Dentistry 26 6.2% Radiology 9 2.1% General Surgery 23 5.5% Dermatology 9 2.1% Anesthesiology 11 2.6% Clinical Pharmacy 4 0.9% Psychiatry 16 3.8% Oncology 4 0.9% Nursing 24 5.7% Internal Medicine 83 19.7% Hematology 5 1.2% Emergency Medicine 6 1.4% Gastroenterology 1 0.2% Epilepsy 1 0.2% Obstetrics and Gynecology 20 4.7% Family Medicine 103 24.4% Colorectal Surgery 1 0.2% Pediatrics 35 8.3% Otorhinolaryngology (ENT) 4 0.9% Orthopedics 5 1.2% Cardiology 1 0.2% Anatomical Pathology 1 0.2% Nephrology 1 0.2% Ophthalmology 16 3.8% Endocrinology 1 0.2% Midwifery 2 0.5% Neurology 1 0.2% Urology 9 2.1% Training Center King Fahad Specialist Hospital - Dammam 83 19.7% Maternity And Children Hospital – Dammam 29 6.9% Erada Complex for Mental Health – Dammam 9 2.1% Eye Specialist Hospital – Dhahran 12 2.8% Dammam Medical Complex 79 18.7% Family Medicine Academy 89 21.1% Qatif Central Hospital 93 22.0% Other 28 6.6% Prevalence of Burnout Syndrome Among Postgraduate Medical Trainees in the Eastern Health Cluster The study analyzed responses from 422 trainees, focusing on emotional exhaustion, depersonalization, and personal accomplishment. For emotional exhaustion, the mean score was 20.7 (SD = 15.01, range 0-54), with results showing 30.3% (n = 128) of trainees experiencing high levels, 20.4% (n = 86) moderate levels, and 49.3% (n = 208) low levels. This indicates a significant spread in the extent of exhaustion among trainees. In the dimension of depersonalization, the mean score stood at 7.61 (SD = 6.85, range 0–30). Here, 24.9% (n = 105) of trainees reported high levels, suggesting a substantial degree of emotional detachment, while 27.3% (n = 115) experienced moderate levels, and 47.9% (n = 202) reported low levels. Regarding personal accomplishment, the mean score was 18.63 (SD = 11.71, range 0-48). A vast majority, 86.3% (n = 364), felt low levels of achievement, highlighting a pervasive sense of inefficacy within the cohort. Moderate and high levels of personal accomplishment were less common, reported by 9.0% (n = 38) and 4.7% (n = 20) of trainees, respectively, underscoring concerns about trainees’ perceptions of their professional success. Furthermore, the distribution of burnout symptoms varied across specialties and levels of training, revealing that specific disciplines and more senior trainees exhibited higher levels of emotional exhaustion and depersonalization. These findings highlight the need for targeted interventions to mitigate burnout and support the well-being of medical trainees in this region. Table 2 . Distribution of Burnout Levels Among Postgraduate Medical Trainees in the Eastern Health Cluster as Assessed by the Maslach Burnout Inventory N % MBI-Emotional Exhaustion Low 208 49.3% Moderate 86 20.4% High 128 30.3% MBI-Depersonalization Low 202 47.9% Moderate 115 27.3% High 105 24.9% MBI- Personal Accomplishment Low 364 86.3% Moderate 38 9.0% High 20 4.7% Specialty-Specific Burnout Patterns Among Postgraduate Medical Trainees: Insights from the Maslach Burnout Inventory The analysis of burnout levels using the Maslach Burnout Inventory (MBI) among postgraduate medical trainees across various specialties highlighted substantial disparities in burnout symptoms, as outlined in Table 3. The highest levels of emotional exhaustion were observed in diagnostic radiology, where 55.56% of trainees reported high levels, followed closely by internal medicine with 43.37% and general surgery with 26.09%. Diagnostic Radiology again showed the most significant impact in depersonalization, with 55.56% of trainees experiencing high levels; general surgery also demonstrated substantial depersonalization, with 30.43% reporting high levels. These findings indicate a pronounced risk of burnout in these intense clinical settings. On the spectrum of personal accomplishment, several specialties indicated alarmingly low levels of personal achievement, notably nursing, where 95.83% of trainees felt a low sense of accomplishment, and internal medicine, with 91.57%. Such results indicate a critical area of concern, as a diminished sense of accomplishment can adversely affect trainees’ personal well-being and professional efficacy. Interestingly, some specialties like dentistry and clinical pharmacy reported significantly lower levels of emotional exhaustion and depersonalization, suggesting variations in the work environment or possibly more effective coping mechanisms. For example, only 11.54% of dentistry trainees reported high emotional exhaustion, and none in clinical pharmacy reported high depersonalization. Overall, the data suggest that while certain specialties are at higher risk of severe burnout symptoms, there is a general trend across all fields indicating significant levels of distress among trainees. These insights underscore the urgency for targeted mental health support and burnout prevention strategies tailored to the unique demands of each specialty, enhancing the resilience and well-being of our future healthcare providers. Table 3 . Distribution of Maslach Burnout Inventory (MBI) Scores Across Medical Specialties in Postgraduate Trainees MBI-Emotional Exhaustion MBI-Depersonalization MBI-Personal Accomplishment Low Moderate High low moderate High Low moderate high N (%) N (%) N (%) N (%) N (%) N (%) N (%) N (%) N (%) Dentistry 19 (73.08%) 4 (15.38%) 3 (11.54%) 21 (80.77%) 4 (15.38%) 1 (3.85%) 20 (76.92%) 3 (11.54%) 3 (11.54%) Diagnostic Radiology 1 (11.11%) 3 (33.33%) 5 (55.56%) 1 (11.11%) 3 (33.33%) 5 (55.56%) 8 (88.89%) 1 (11.11%) 0 (0%) General Surgery 11 (47.83%) 6 (26.09%) 6 (26.09%) 8 (34.78%) 8 (34.78%) 7 (30.43%) 21 (91.3%) 1 (4.35%) 1 (4.35%) Dermatology 5 (55.56%) 2 (22.22%) 2 (22.22%) 7 (77.78%) 0 (0%) 2 (22.22%) 6 (66.67%) 2 (22.22%) 1 (11.11%) Anesthesiology 2 (18.18%) 5 (45.45%) 4 (36.36%) 5 (45.45%) 2 (18.18%) 4 (36.36%) 7 (63.64%) 4 (36.36%) 0 (0%) Clinical Pharmacy 2 (50%) 2 (50%) 0 (0%) 3 (75%) 1 (25%) 0 (0%) 4 (100%) 0 (0%) 0 (0%) Psychiatry 9 (56.25%) 2 (12.5%) 5 (31.25%) 10 (62.5%) 3 (18.75%) 3 (18.75%) 12 (75%) 2 (12.5%) 2 (12.5%) Oncology 2 (50%) 1 (25%) 1 (25%) 2 (50%) 1 (25%) 1 (25%) 2 (50%) 0 (0%) 2 (50%) Nursing 17 (70.83%) 1 (4.17%) 6 (25%) 13 (54.17%) 8 (33.33%) 3 (12.5%) 23 (95.83%) 0 (0%) 1 (4.17%) Internal Medicine 32 (38.55%) 15 (18.07%) 36 (43.37%) 30 (36.14%) 26 (31.33%) 27 (32.53%) 76 (91.57%) 6 (7.23%) 1 (1.2%) Hematology 4 (80%) 0 (0%) 1 (20%) 4 (80%) 1 (20%) 0 (0%) 4 (80%) 1 (20%) 0 (0%) Emergency Medicine 4 (66.67%) 0 (0%) 2 (33.33%) 4 (66.67%) 2 (33.33%) 0 (0%) 5 (83.33%) 1 (16.67%) 0 (0%) Gastroenterology 0 (0%) 0 (0%) 1 (100%) 0 (0%) 0 (0%) 1 (100%) 1 (100%) 0 (0%) 0 (0%) Epilepsy 0 (0%) 1 (100%) 0 (0%) 0 (0%) 1 (100%) 0 (0%) 1 (100%) 0 (0%) 0 (0%) Obstetrics and Gynecology 5 (25%) 9 (45%) 6 (30%) 8 (40%) 9 (45%) 3 (15%) 15 (75%) 5 (25%) 0 (0%) Family Medicine 54 (52.43%) 18 (17.48%) 31 (30.1%) 48 (46.6%) 28 (27.18%) 27 (26.21%) 91 (88.35%) 5 (4.85%) 7 (6.8%) Colorectal Surgery 1 (100%) 0 (0%) 0 (0%) 1 (100%) 0 (0%) 0 (0%) 1 (100%) 0 (0%) 0 (0%) Pediatrics 12 (34.29%) 11 (31.43%) 12 (34.29%) 11 (31.43%) 11 (31.43%) 13 (37.14%) 30 (85.71%) 3 (8.57%) 2 (5.71%) Otorhinolaryngology (ENT) 1 (25%) 0 (0%) 3 (75%) 1 (25%) 1 (25%) 2 (50%) 4 (100%) 0 (0%) 0 (0%) Orthopedics 4 (80%) 1 (20%) 0 (0%) 3 (60%) 1 (20%) 1 (20%) 5 (100%) 0 (0%) 0 (0%) Cardiology 0 (0%) 1 (100%) 0 (0%) 0 (0%) 1 (100%) 0 (0%) 1 (100%) 0 (0%) 0 (0%) Anatomical Pathology 1 (100%) 0 (0%) 0 (0%) 1 (100%) 0 (0%) 0 (0%) 1 (100%) 0 (0%) 0 (0%) Nephrology 0 (0%) 1 (100%) 0 (0%) 0 (0%) 0 (0%) 1 (100%) 1 (100%) 0 (0%) 0 (0%) Ophthalmology 13 (81.25%) 1 (6.25%) 2 (12.5%) 13 (81.25%) 1 (6.25%) 2 (12.5%) 14 (87.5%) 2 (12.5%) 0 (0%) Endocrinology 1 (100%) 0 (0%) 0 (0%) 0 (0%) 1 (100%) 0 (0%) 1 (100%) 0 (0%) 0 (0%) Midwifery 2 (100%) 0 (0%) 0 (0%) 2 (100%) 0 (0%) 0 (0%) 2 (100%) 0 (0%) 0 (0%) Neurology 0 (0%) 0 (0%) 1 (100%) 1 (100%) 0 (0%) 0 (0%) 1 (100%) 0 (0%) 0 (0%) Urology 6 (66.67%) 2 (22.22%) 1 (11.11%) 5 (55.56%) 2 (22.22%) 2 (22.22%) 7 (77.78%) 2 (22.22%) 0 (0%) Burnout Variability Across Training Centers in the Eastern Health Cluster: Insights from the Maslach Burnout Inventory The study assessed burnout among PGMTs across several training centers in the Eastern Health Cluster using the Maslach Burnout Inventory (MBI). King Fahad Specialist Hospital – Dammam reported a relatively balanced distribution of emotional exhaustion, with 53.01% of trainees experiencing low levels, 21.69% moderate, and 25.3% high levels. Similarly, depersonalization was reported by 50.6% of trainees at low levels, 27.71% at moderate, and 21.69% at high. A significant 91.57% of these trainees felt low personal accomplishment. In contrast, Erada Complex for Mental Health in Dammam showed a concerning 55.56% of trainees reporting high emotional exhaustion, a notably higher rate compared to other centers. Depersonalization and personal accomplishment followed similar patterns, with one-third experiencing high levels of depersonalization and 77.78% reporting low personal accomplishment. The Eye Specialist Hospital in Dhahran was noteworthy, where emotional exhaustion and depersonalization were predominantly low (83.33% each), suggesting better burnout management or less stressful working conditions than other centers. Regarding personal accomplishment, all but two trainees felt low levels, indicating a pervasive feeling of inefficacy despite lower levels of exhaustion and depersonalization. These results highlight significant variability in burnout levels across different medical specialties and training centers, underscoring the need for tailored interventions to address trainees’ specific challenges in high-stress environments. Table 4 . Burnout Levels by Training Center in the Eastern Health Cluster According to the Maslach Burnout Inventory MBI-Emotional Exhaustion MBI-Depersonalization MBI-Personal Accomplishment Low Moderate High low Moderate High Low Moderate High N (%) N (%) N (%) N (%) N (%) N (%) N (%) N (%) N (%) King Fahad Specialist Hospital - Dammam 44 (53.01%) 18 (21.69%) 21 (25.3%) 42 (50.6%) 23 (27.71%) 18 (21.69%) 76 (91.57%) 4 (4.82%) 3 (3.61%) Maternity And Children Hospital - Dammam 10 (34.48%) 10 (34.48%) 9 (31.03%) 11 (37.93%) 10 (34.48%) 8 (27.59%) 23 (79.31%) 4 (13.79%) 2 (6.9%) Erada Complex for Mental Health - Dammam 3 (33.33%) 1 (11.11%) 5 (55.56%) 3 (33.33%) 3 (33.33%) 3 (33.33%) 7 (77.78%) 1 (11.11%) 1 (11.11%) Eye Specialist Hospital - Dhahran 10 (83.33%) 1 (8.33%) 1 (8.33%) 10 (83.33%) 1 (8.33%) 1 (8.33%) 10 (83.33%) 2 (16.67%) 0 (0%) Dammam Medical Complex 41 (51.9%) 14 (17.72%) 24 (30.38%) 41 (51.9%) 18 (22.78%) 20 (25.32%) 66 (83.54%) 7 (8.86%) 6 (7.59%) Family Medicine Academy 46 (51.69%) 17 (19.1%) 26 (29.21%) 40 (44.94%) 26 (29.21%) 23 (25.84%) 80 (89.89%) 5 (5.62%) 4 (4.49%) Qatif Central Hospital 39 (41.94%) 21 (22.58%) 33 (35.48%) 38 (40.86%) 30 (32.26%) 25 (26.88%) 77 (82.8%) 13 (13.98%) 3 (3.23%) Other 15 (53.57%) 4 (14.29%) 9 (32.14%) 17 (60.71%) 4 (14.29%) 7 (25%) 25 (89.29%) 2 (7.14%) 1 (3.57%) Factors Influencing Burnout Among Healthcare Professionals: Insights from the Maslach Burnout Inventory The study quantitatively analyzed burnout among healthcare professionals using the Maslach Burnout Inventory (MBI), focusing on Emotional Exhaustion (EE), Depersonalization (DP), and Personal Accomplishment (PA). Results indicated significant associations with several demographic and occupational variables. For Emotional Exhaustion, a significant linear-by-linear association was observed for sex, with males displaying lower high exhaustion levels (23.73%) compared to females (35.10%), p=0.008. Training program type also showed significant associations, notably residency programs, where 31.65% reported high exhaustion, compared to a lower 15% in fellowships, p=0.015. The type of on-call duty was another critical factor, with in-house on-call staff experiencing higher exhaustion (33.44% high) versus those on home calls (21.3% high), p=0.003. Depersonalization outcomes were less uniformly distributed but still significant in residency training programs, with 26.6% of residents experiencing high depersonalization, p=0.025. Similarly, the type of on-call was significantly associated with depersonalization rates; in-house staff reported higher depersonalization (27.71%) compared to home call staff (16.67%), p<0.001. In contrast, marital status and hometown variables showed no significant associations across burnout dimensions, indicating potential resilience factors or lesser impact on burnout levels. These findings illustrate the complex interplay between work environment, personal demographics, and burnout levels, highlighting specific areas within healthcare settings that may benefit from targeted interventions to reduce burnout rates and improve overall well-being and job satisfaction among professionals. Further analysis of the burnout dimensions showed that those in high-stress specialties and positions, such as emergency services and critical care, reported higher Emotional Exhaustion and Depersonalization levels. For instance, the number of on-call hours significantly influenced burnout levels, with those reporting over 24 hours of on-call duty demonstrating notably higher levels of Emotional Exhaustion (41.18% high) and Depersonalization (35.29% high), p=0.009 for EE and p=0.013 for DP. This trend suggests extended work hours, particularly those beyond standard shifts, significantly exacerbate stress and burnout symptoms. The findings also suggest that younger, less experienced (junior level) professionals tend to experience higher rates of depersonalization (26.64% high) compared to their senior counterparts, although this difference was not statistically significant (p=0.066). This indicates a possible vulnerability among less experienced staff, who may require additional support and mentoring to cope with the psychological demands of the healthcare profession. Regarding Personal Accomplishment, most participants across almost all categories reported low levels of accomplishment, which may reflect broader issues related to job satisfaction and recognition within the healthcare sector. Notably, even among those with less demanding on-call responsibilities, the perception of personal accomplishment was predominantly low, suggesting that factors beyond mere workload contribute to this sentiment. These patterns underscore the importance of considering both organizational and personal factors when addressing burnout in healthcare settings. Interventions such as adjusting on-call schedules, enhancing support systems, and acknowledging the accomplishments of healthcare professionals could be beneficial. Moreover, these results advocate for policy changes and leadership actions to improve work conditions, which may mitigate burnout and foster a more supportive and productive work environment. Table 5 . Associations Between Demographic and Occupational Variables with Burnout Dimensions Using the Maslach Burnout Inventory MBI- Emotional exhaustion Linear by Linear Association Low Moderate High N (%) N (%) N (%) Sex Male 99 (55.93%) 36 (20.34%) 42 (23.73%) χ 2 = 7.02, p= 0.008 Female 109 (44.49%) 50 (20.41%) 86 (35.1%) Marital Status Single 100 (50.76%) 41 (20.81%) 56 (28.43%) χ 2 = 0.69, p=0.406 Married 106 (47.53%) 45 (20.18%) 72 (32.29%) Hometown Within Eastern Province 165 (48.39%) 68 (19.94%) 108 (31.67%) χ 2 = 1.17, p=0.279 Outside Eastern Province 43 (53.09%) 18 (22.22%) 20 (24.69%) Type of Training Program Residency 176 (46.81%) 81 (21.54%) 119 (31.65%) χ 2 = 5.87, p=0.015 Fellowship 13 (65%) 4 (20%) 3 (15%) Diploma 19 (73.08%) 1 (3.85%) 6 (23.08%) Training Level Junior 119 (45.95%) 63 (24.32%) 77 (29.73%) χ 2 = 1.37, p=0.241 Senior 80 (49.08%) 28 (17.18%) 55 (33.74%) Smoking Habit No 176 (48.48%) 73 (20.11%) 114 (31.4%) χ 2 = 1.20, p=0.273 Yes 32 (54.24%) 13 (22.03%) 14 (23.73%) Number of Hours of On-Call None 37 (61.67%) 10 (16.67%) 13 (21.67%) χ 2 = 6.73, p= 0.009 8 hrs 32 (60.38%) 5 (9.43%) 16 (30.19%) 12 hrs 52 (58.43%) 15 (16.85%) 22 (24.72%) 16 hrs 23 (28.75%) 22 (27.5%) 35 (43.75%) 24 hrs 55 (44.72%) 33 (26.83%) 35 (28.46%) >24 hrs 9 (52.94%) 1 (5.88%) 7 (41.18%) Type of On-Call In-House 141 (44.9%) 68 (21.66%) 105 (33.44%) χ 2 = 9.04, p= 0.003 Home 67 (62.04%) 18 (16.67%) 23 (21.3%) MBI- depersonalization Linear By linear Association Low Moderate High N (%) N (%) N (%) Sex Male 85 (48.02%) 54 (30.51%) 38 (21.47%) χ 2 = 0.57,p=0.449 Female 117 (47.76%) 61 (24.9%) 67 (27.35%) Marital Status Single 103 (52.28%) 45 (22.84%) 49 (24.87%) χ 2 = 1.26,p=0.262 Married 97 (43.5%) 70 (31.39%) 56 (25.11%) Hometown Within Eastern Province 158 (46.33%) 98 (28.74%) 85 (24.93%) χ 2 = 1.70,p=0.419 Outside Eastern Province 44 (54.32%) 17 (20.99%) 20 (24.69%) Type of Training Program Residency 174 (46.28%) 102 (27.13%) 100 (26.6%) χ 2 =5.87, p=0.015 Fellowship 12 (60%) 6 (30%) 2 (10%) Diploma 16 (61.54%) 7 (26.92%) 3 (11.54%) Training Level Junior 11 5 (44. 4 %) 7 5 (28.9 6 %) 69 (2 6 . 64 %) χ 2 = 3.39,p=0.066 Senior 7 8 (4 7 . 85 %) 42 (2 5 . 77 %) 43 (2 6 . 38 %) Smoking Habit No 176 (48.48%) 99 (27.27%) 88 (24.24%) χ 2 = 0.61,p=0.436 Yes 26 (44.07%) 16 (27.12%) 17 (28.81%) Number of Hours of On-Call None 35 (58.33%) 16 (26.67%) 9 (15%) χ 2 = 6.16,p=0.013 8 hrs 27 (50.94%) 12 (22.64%) 14 (26.42%) 12 hrs 49 (55.06%) 22 (24.72%) 18 (20.22%) 16 hrs 30 (37.5%) 24 (30%) 26 (32.5%) 24 hrs 55 (44.72%) 36 (29.27%) 32 (26.02%) >24 hrs 6 (35.29%) 5 (29.41%) 6 (35.29%) Type of On-Call In-House 133 (42.36%) 94 (29.94%) 87 (27.71%) χ 2 = 12.61,p=0.001 Home 69 (63.89%) 21 (19.44%) 18 (16.67%) MBI- personal accomplishment Linear By linear Association Low Moderate High N (%) N (%) N (%) Sex Male 149 (84.18%) 19 (10.73%) 9 (5.08%) χ 2 = 0.73,p=0.394 Female 215 (87.76%) 19 (7.76%) 11 (4.49%) Marital Status Single 167 (84.77%) 21 (10.66%) 9 (4.57%) χ 2 = 0.23,p=0.394 Married 195 (87.44%) 17 (7.62%) 11 (4.93%) Hometown Within Eastern Province 296 (86.8%) 29 (8.5%) 16 (4.69%) χ 2 = 0.26,p=0.613 Outside Eastern Province 68 (83.95%) 9 (11.11%) 4 (4.94%) Type of Training Program Residency 321 (85.37%) 37 (9.84%) 18 (4.79%) χ 2 = 1.45,p=0.229 Fellowship 18 (90%) 1 (5%) 1 (5%) Diploma 25 (96.15%) 0 (0%) 1 (3.85%) Training Level Junior 22 4 (8 6 . 48 %) 21 ( 8 . 11 %) 1 4 ( 5 .4 1 %) χ 2 = 0.34,p=0.559 Senior 12 4 ( 76 . 07 %) 2 5 (1 5 . 34 %) 14 ( 8.59 %) Smoking Habit No 314 (86.5%) 32 (8.82%) 17 (4.68%) χ 2 = 0.10,p=0.757 Yes 50 (84.75%) 6 (10.17%) 3 (5.08%) Number of Hours of On-Call None 52 (86.67%) 5 (8.33%) 3 (5%) χ 2 = 0.98,p=0.768 8 hrs 44 (83.02%) 5 (9.43%) 4 (7.55%) 12 hrs 80 (89.89%) 3 (3.37%) 6 (6.74%) 16 hrs 68 (85%) 11 (13.75%) 1 (1.25%) 24 hrs 105 (85.37%) 13 (10.57%) 5 (4.07%) >24 hrs 15 (88.24%) 1 (5.88%) 1 (5.88%) Type of On-Call In-House 274 (87.26%) 29 (9.24%) 11 (3.5%) χ 2 = 2.51,p=0.113 Home 90 (83.33%) 9 (8.33%) 9 (8.33%) Discussion The prevalence of burnout among postgraduate medical trainees in the Eastern Health Cluster of Saudi Arabia, with significant levels of emotional exhaustion (30.3%) and depersonalization (24.9%), mirrors global concerns about the mental health of medical professionals. The review by Shanafelt et al. indicates that 45.8% of US physicians experienced at least one symptom of burnout, which emphasizes the pervasive nature of this issue across different healthcare systems (14). This study’s findings are consistent with the narrative review by Lin et al., which documented that reforms in resident duty hours generally improve resident well-being without negatively impacting their educational outcomes. In our study, no direct correlation was found between the number of on-call hours and the level of burnout, suggesting that the quality of the working environment and the inherent stress of medical training significantly influence burnout rates (15). Further comparison is drawn with the study by Fahrenkopf et al., where depressed residents made 6.2 times as many medication errors per resident per month compared to their non-depressed peers. This statistic is alarming and highlights the critical impact of mental health on patient safety, paralleling our findings where high levels of burnout could potentially compromise patient care (16). Our research also aligns with findings from Temple et al., who discuss the global variability in duty-hour policies. The lack of consensus on optimal duty hour configurations suggests that each region may need to develop customized solutions that reflect local training conditions and cultural factors (17). Moreover, the specific burnout rates across various specialties in our study indicate that some disciplines, such as family medicine (24.4% high emotional exhaustion) and internal medicine (19.7% high emotional exhaustion), are more affected than others. These figures can be compared to those in other studies, such as the national survey by Aldrees et al., which found high burnout rates, particularly among surgical specialties, underscoring the need for specialty-specific interventions (18). Additionally, the impact of burnout on specific clinical skills and cognitive performance, a critical concern highlighted by Fletcher et al., provides an essential context for our findings. They documented that resident well-being significantly improves following duty-hour reforms, aligning with our high emotional exhaustion and depersonalization observations. Their study underlines the potential cognitive repercussions of burnout, which could compromise clinical decision-making and patient care, reinforcing the need for a structured reform in duty hours and support systems within the Saudi medical education system (19). The study by Martini et al. further elucidates the relationship between burnout and the educational environment by assessing the impact of work-hour limits on burnout prevalence among medical residents. Their findings, showing a decrease in burnout prevalence, particularly among junior residents after implementing work-hour restrictions, underscore the potential benefits of similar policy changes in our region. This study supports the notion that structured modifications to the training schedule can mitigate burnout, thereby enhancing the overall training experience and potentially improving patient care outcomes (20). Conclusion The findings from the Eastern Health Cluster indicate a critical need for interventions to reduce burnout among medical trainees, similar to efforts documented in international studies. The substantial prevalence of emotional exhaustion (30.3%) and depersonalization (24.9%) reported in our study highlights the urgency of implementing effective measures to improve the training environment and promote better mental health outcomes for trainees. Future research should focus on longitudinal studies to assess the effectiveness of targeted interventions in reducing burnout and improving educational outcomes and patient care. Declarations Funding: Not applicable Ethics approval: This was approved by the Institutional Review Board (IRB) of the Erada Complex and Mental Health Hospital in Dammam, Saudi Arabia, with approval number MED008. Clinical trial number: not applicable. Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. Data Availability Statement: Data is available upon request. Please contact Dr.Fahad Almsned at [email protected] . Acknowledgments: We sincerely thank Ms. Rehab Almanasef for her invaluable contributions to this study. Her diligent efforts in writing and reviewing the survey in Google Forms were instrumental to its success. Conflicts of Interest: The authors declare no conflict of interest. Authors’ contributions: NA designed the study, authored the IRB submission, and developed the methodology. FA assisted in the study design, reviewed the article, and evaluated the statistical analysis. NB designed and created the online survey and reviewed the article. FA reviewed the article and distributed the survey. MA reviewed the article and distributed the survey. MY conducted the statistical analysis. MA helped design the study, recruited participants, and reviewed the article. Consent for publication: Not applicable Competing interests: Not applicable References Maslach C, Leiter MP. The Truth About Burnout: How Organizations Cause Personal Stress and What to Do about It. San Francisco, Calif: John Wiley & Sons Inc; 2013. p. 208. Naji L, Singh B, Shah A, Naji F, Dennis B, Kavanagh O, et al. Global prevalence of burnout among postgraduate medical trainees: a systematic review and meta-regression. CMAJ Open. 2021;9(1):E189–200. Rotenstein LS, Torre M, Ramos MA, Rosales RC, Guille C, Sen S, et al. Prevalence of Burnout Among Physicians: A Systematic Review. JAMA. 2018;320(11):1131–50. Dyrbye LN, Thomas MR, Shanafelt TD. Systematic review of depression, anxiety, and other indicators of psychological distress among U.S. and Canadian medical students. Acad Med. 2006;81(4):354–73. Seo C, Corrado M, Fournier K, Bailey T, Haykal KA. Addressing the physician burnout epidemic with resilience curricula in medical education: a systematic review. BMC Med Educ. 2021;21(1):80. Johnson J, Al-Ghunaim TA, Biyani CS, Montgomery A, Morley R, O’Connor DB. Burnout in Surgical Trainees: a Narrative Review of Trends, Contributors, Consequences and Possible Interventions. Indian J Surg. 2022;84(1):35–44. Hameed TK, Masuadi E, Al Asmary NA, Al-Anzi FG, Al Dubayee MS. A study of resident duty hours and burnout in a sample of Saudi residents. BMC Med Educ. 2018;18:180. AlJhani S, AlHarbi H, AlJameli S, Hameed L, AlAql K, Alsulaimi M. Burnout and coping among healthcare providers working in Saudi Arabia during the COVID-19 pandemic. Middle East Curr Psychiatry. 2021;28(1):29. Dabbagh R, Alwatban L, Alrubaiaan M, Alharbi S, Aldahkil S, AlMuteb M, et al. Depression, stress, anxiety and burnout among undergraduate and postgraduate medical trainees in Saudi Arabia over two decades: A systematic review. Med Teach. 2023;45(5):499–509. Al-Qahtani et al. Gender differences in burnout among medical residents in Saudi Arabia. Saudi Medical Journal. De Hert S. Burnout in Healthcare Workers: Prevalence, Impact and Preventative Strategies. Local Reg Anesth. 2020;13:171–83. Lheureux F, Truchot D, Borteyrou X, Rascle N. The maslach burnout inventory – Human services survey (mbi-hss): factor structure, wording effect and psychometric qualities of known problematic items. Le travail humain. 2017;80(2):161–86. Soares JP, Lopes RH, Mendonça PB, de Silva S, Rodrigues CRDV, de Castro CCFM. Use of the Maslach Burnout Inventory Among Public Health Care Professionals: Protocol for a Scoping Review. JMIR Res Protoc. 2022;11(11):e42338. Shanafelt TD, Boone S, Tan L, Dyrbye LN, Sotile W, Satele D, et al. Burnout and Satisfaction With Work-Life Balance Among US Physicians Relative to the General US Population. Arch Intern Med. 2012;172(18):1377–85. Lin H, Lin E, Auditore S, Fanning J. A Narrative Review of High-Quality Literature on the Effects of Resident Duty Hours Reforms. Acad Med. 2016;91(1):140–50. Rates of medication errors among. depressed and burnt out residents: prospective cohort study | The BMJ [Internet]. [cited 2024 Aug 1]. https://www.bmj.com/content/336/7642/488.long Temple J. Resident duty hours around the globe: where are we now? BMC Med Educ. 2014;14(1):S8. Aldrees T, Hassouneh B, Alabdulkarim A, Asad L, Alqaryan S, Aljohani E, et al. Burnout among plastic surgery residents. National survey in Saudi Arabia. Saudi Med J. 2017;38(8):832–6. Fletcher KE, Reed DA, Arora VM. Patient Safety, Resident Education and Resident Well-Being Following Implementation of the 2003 ACGME Duty Hour Rules. J Gen Intern Med. 2011;26(8):907–19. Comparison of Burnout Among Medical Residents Before and After the Implementation of. Work Hours Limits | Academic Psychiatry [Internet]. [cited 2024 Aug 1]. https://link.springer.com/article/10.1176/appi.ap.30.4.352 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4997589","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":350118558,"identity":"821be7d8-8a3f-4c48-98aa-3b12e64f5ed5","order_by":0,"name":"Nasser M. 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Globally, a meta-analysis revealed that the pooled prevalence of burnout across 47 countries is approximately 48%, with variations ranging from 28\u0026ndash;85% among postgraduate medical populations (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e). The rigorous nature of postgraduate medical training, marked by long hours, substantial workloads, and high-stress environments, considerably heightens the risk of burnout among trainees (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e). Recent efforts to address this critical issue include the implementation of resilience curricula within medical education (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e). Such curricula aim to equip medical trainees with coping skills, self-efficacy, goal-setting abilities, and emotional regulation skills, helping them manage stress and reduce the risk of burnout. Studies assessing the effectiveness of these interventions have shown promising results in enhancing the well-being of medical students and residents, fostering a healthier educational environment​ (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eShifting the focus to local observations in Saudi Arabia, a detailed study conducted at King Abdulaziz Medical City and two other healthcare facilities in Buraidah, Qassim Province, reported an 81% burnout rate among residents in medical and surgical programs (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). This study highlighted significant levels of emotional exhaustion and depersonalization, which are core aspects of burnout. Notably, no significant correlation was found between the number of working hours and the prevalence of burnout, suggesting the influence of other factors. During the COVID-19 pandemic, healthcare workers, including medical trainees, reported a substantial level of burnout and stress, with 60.5% of individuals aged 22\u0026ndash;35 experiencing notable stress (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e). The research also detailed various coping strategies adopted by healthcare professionals during this challenging period. Furthermore, a comprehensive systematic review of nine studies on burnout among medical residents, primarily using the Maslach Burnout Inventory (MBI) or its variations, revealed that burnout prevalence ranged from 24.1\u0026ndash;85.5% (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e). This significant variation, comparable to global levels, could be explained by methodologies, sample sizes, assessment tools, and medical specialties. Furthermore, unique cultural factors such as the hierarchical structure of the healthcare system, gender segregation in the workplace, and limited social support systems also contribute to these disparities in burnout rates (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThis study aims to address a notable void in existing research by examining burnout prevalence among postgraduate medical trainees in the Eastern Province of Saudi Arabia, where data on this subject are particularly scarce. The distinctiveness of the Saudi educational environment, predominantly characterized by a consultant-driven approach in governmental settings, potentially introduces unique stressors affecting trainee well-being. By conducting a meticulous analysis of burnout and its contributory factors within this unique context, this research is poised to offer pivotal insights into the experiences of postgraduate trainees in the region. The results illuminate the scope of burnout and inform the development of targeted interventions to enhance well-being and mitigate burnout among medical trainees.\u003c/p\u003e"},{"header":"Materials and methods","content":"\u003cp\u003e\u003cstrong\u003eEthical approval\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study complied with the Declaration of Helsinki and was approved by the Institutional Review Board (IRB) of the Erada Complex and Mental Health Hospital in Dammam, with approval number MED008.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStudy Design\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis cross-sectional study, conducted from March 31, 2024, to June 30, 2024, involved various healthcare facilities across the Eastern Health Cluster (EHC) in the Eastern Province of Saudi Arabia. Enrolled participants were Postgraduate Medical Trainees (PGMTs) who had been active in residency, fellowship, or diploma programs accredited by the Saudi Commission for Health Specialties (SCFHS) for at least six months and provided informed written consent. The study sites encompassed diverse healthcare settings, including King Fahad Specialist Hospital-Dammam, a tertiary care facility; specialized hospitals like Maternity and Children Hospital\u0026ndash;Dammam, Erada Complex for Mental Health\u0026ndash;Dammam, and Eye Specialist Hospital\u0026ndash;Dhahran; secondary care providers such as Dammam Medical Complex and Qatif Central Hospital; and the Family Medicine Academy, a primary healthcare center. It targeted a specific cohort of 920 PGMTs from residency programs and 153 from fellowship and diploma programs, as detailed in the 2023-2024 annual academic report.\u003c/p\u003e\n\u003cp\u003eParticipants were selected via convenience sampling due to logistical and time constraints, allowing for the expedient selection of readily available trainees from each facility. While this method does not ensure a representative sample of all trainees within the cluster, it facilitates efficient data collection within the operational confines of the study. Data was collected using a tailored Google Form, which captured sociodemographic information, detailed elements of the training programs, and responses to the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS(MP)). The form was distributed electronically through email and official communication channels within the Eastern Health Cluster, ensuring broad accessibility for all participants. It was designed to ensure anonymous and confidential survey data submission, protecting participant privacy.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStudy Variables and Data Collection\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe survey consisted of three parts. The first part covered demographic variables, including age, sex, marital status, hometown, and smoking habits. The second part focused on specific aspects of the training programs, such as type of training program\u0026mdash;residency, fellowship, or diploma; training level\u0026mdash;junior, senior, or fellowship; specialty; type of on-call duty\u0026mdash;in-house or home call; number of on-call hours; and training center. The last part of the survey incorporated the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS (MP)), which assessed burnout across three subscales: emotional exhaustion (EE), depersonalization (DP), and personal accomplishment (PA). The emotional exhaustion subscale consisted of 9 items that measured feelings of being emotionally overextended and exhausted, where higher scores indicated greater experienced burnout. The depersonalization subscale included 5 items assessing an unfeeling and impersonal response toward patients, with higher scores suggesting more severe burnout. Finally, the 8-item personal accomplishment subscale evaluated feelings of competence and achievement in one\u0026rsquo;s work, with lower scores indicating greater experienced burnout. These scales have been referenced in the literature to provide empirical support for their application and interpretation\u0026nbsp;(11\u0026ndash;13).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical analyses\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe received 816 initial responses to the online form, achieving a response rate of 76.1%. After excluding incomplete submissions, the study successfully included 422 participants, yielding a completion rate of 39.3%. This cohort consisted of 177 males (41.9%) and 245 females (58.1%).\u003c/p\u003e\n\u003cp\u003eData analysis was performed using the Statistical Package for Social Sciences (SPSS) version 25 for Windows. Descriptive statistics were applied to summarize the data, presenting results as mean \u0026plusmn; standard deviation for continuous variables and as frequencies and percentages for categorical variables, all accompanied by 95% confidence intervals (CIs). Inferential statistics were employed to probe the relationships between variables, with a significance threshold established at p\u0026lt;0.05. A linear-by-linear association test was used to assess relationships between two qualitative variables, at least one of which was ordinal.\u0026nbsp;\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eCharacteristics of Medical Trainees in the Eastern Health Cluster\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study included 422 participants, with an average age of 28.75 years (SD = 3.58, range: 24\u0026ndash;58 years). Of these, 41.9% (n=177) were male and 58.1% (n=245) were female. Regarding marital status, 46.7% (n=197) were single, 52.8% (n=223) were married, and the remainder were either divorced or separated (0.2% each, n=1 for both). Most participants resided within the Eastern province (80.8%, n=341), while 19.2% (n=81) came from outside the Eastern province.\u003c/p\u003e\n\u003cp\u003eParticipants were primarily enrolled in residency programs (89.1%, n=376), with smaller numbers in fellowship (4.7%, n=20) and diploma programs (6.2%, n=26). The training levels were categorized as junior (61.4%, n=259) and senior (38.6%, n=163). Most participants were non-smokers (86.0%, n=363), and 14.0% (n=59) reported smoking habits.\u003c/p\u003e\n\u003cp\u003eRegarding on-call duties, 74.4% (n=314) had in-house calls, whereas 25.6% (n=108) had home calls. The number of on-call hours varied, with 14.2% (n=60) not performing any on-call duties, 12.6% (n=53) on 8-hour calls, 21.1% (n=89) on 12-hour calls, 19.0% (n=80) on 16-hour calls, 29.1% (n=123) on 24-hour calls, and 4.0% (n=17) exceeding 24-hour calls.\u003c/p\u003e\n\u003cp\u003eParticipants were distributed across various specialties, with the most common being family medicine (24.4%, n=103), internal medicine (19.7%, n=83), and pediatrics (8.3%, n=35). The training centers with the highest number of participants included the Family Medicine Academy (21.1%, n=89), Qatif Central Hospital (22.0%, n=93), and King Fahad Specialist Hospital (19.7%, n=83).\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e1\u003c/strong\u003e\u003cstrong\u003e. Demographic and Professional Characteristics of Postgraduate Medical Trainees in the Eastern Health Cluster\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"65.00802568218299%\" colspan=\"2\" rowspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.49598715890851%\"\u003e\n \u003cp\u003e\u003cstrong\u003eMean \u0026plusmn; SD\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.49598715890851%\"\u003e\n \u003cp\u003e\u003cstrong\u003eRange\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"50%\"\u003e\n \u003cp\u003e28.75 \u0026plusmn; 3.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"50%\"\u003e\n \u003cp\u003e24 \u0026ndash; 58\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\u003ctd width=\"17.49598715890851%\"\u003e\u003c/td\u003e\n \u003ctd width=\"17.49598715890851%\"\u003e\u003c/td\u003e\n \u003ctd width=\"17.49598715890851%\"\u003e\n \u003cp\u003eNumber\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.49598715890851%\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.01282051282051%\" rowspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eSex\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.05128205128205%\"\u003e\n \u003cp\u003eMale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e177\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e41.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eFemale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e245\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e58.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.01282051282051%\" rowspan=\"4\"\u003e\n \u003cp\u003e\u003cstrong\u003eMarital Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.05128205128205%\"\u003e\n \u003cp\u003eSingle\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e197\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e46.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eMarried\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e223\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e52.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eDivorced\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eSeparated\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.01282051282051%\" rowspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eHometown\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.05128205128205%\"\u003e\n \u003cp\u003eWithin Eastern Province\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e341\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e80.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eOutside Eastern Province\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e19.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.01282051282051%\" rowspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of Training Program\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.05128205128205%\"\u003e\n \u003cp\u003eResidency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e376\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e89.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eFellowship\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e4.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eDiploma\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e6.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.01282051282051%\" rowspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eTraining Level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.05128205128205%\"\u003e\n \u003cp\u003eJunior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e259\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e61.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eSenior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e163\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e38.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.01282051282051%\" rowspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmoking Habit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.05128205128205%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e363\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e86.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e14.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.01282051282051%\" rowspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of On-Call\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.05128205128205%\"\u003e\n \u003cp\u003eIn-House\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e314\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e74.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eHome\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e108\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e25.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.01282051282051%\" rowspan=\"6\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of Hours of On-Call\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.05128205128205%\"\u003e\n \u003cp\u003eNone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e14.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003e8 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e12.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003e12 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e21.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003e16 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e19.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003e24 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e123\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e29.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003e\u0026gt;24 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e4.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.01282051282051%\" rowspan=\"28\"\u003e\n \u003cp\u003e\u003cstrong\u003eTraining Program Specialty\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.05128205128205%\"\u003e\n \u003cp\u003eDentistry\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e6.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eRadiology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e2.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eGeneral Surgery\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e5.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eDermatology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e2.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eAnesthesiology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e2.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eClinical Pharmacy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003ePsychiatry\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e3.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eOncology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eNursing\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e5.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eInternal Medicine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e19.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eHematology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e1.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eEmergency Medicine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e1.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eGastroenterology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eEpilepsy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eObstetrics and Gynecology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e4.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eFamily Medicine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e103\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e24.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eColorectal Surgery\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003ePediatrics\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e8.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eOtorhinolaryngology (ENT)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eOrthopedics\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e1.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eCardiology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eAnatomical Pathology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eNephrology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eOphthalmology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e3.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eEndocrinology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eMidwifery\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eNeurology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e0.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eUrology\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e2.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.01282051282051%\" rowspan=\"8\"\u003e\n \u003cp\u003e\u003cstrong\u003eTraining Center\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.05128205128205%\"\u003e\n \u003cp\u003eKing Fahad Specialist Hospital - Dammam\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46794871794872%\"\u003e\n \u003cp\u003e19.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eMaternity And Children Hospital \u0026ndash; Dammam\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e6.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eErada Complex for Mental Health \u0026ndash; Dammam\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e2.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eEye Specialist Hospital \u0026ndash; Dhahran\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e2.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eDammam Medical Complex\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e18.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eFamily Medicine Academy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e21.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eQatif Central Hospital\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e22.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"47.84688995215311%\"\u003e\n \u003cp\u003eOther\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.076555023923444%\"\u003e\n \u003cp\u003e6.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePrevalence of Burnout Syndrome Among Postgraduate Medical Trainees in the Eastern Health Cluster\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study analyzed responses from 422 trainees, focusing on emotional exhaustion, depersonalization, and personal accomplishment. For emotional exhaustion, the mean score was 20.7 (SD = 15.01, range 0-54), with results showing 30.3% (n = 128) of trainees experiencing high levels, 20.4% (n = 86) moderate levels, and 49.3% (n = 208) low levels. This indicates a significant spread in the extent of exhaustion among trainees.\u003c/p\u003e\n\u003cp\u003eIn the dimension of depersonalization, the mean score stood at 7.61 (SD = 6.85, range 0\u0026ndash;30). Here, 24.9% (n = 105) of trainees reported high levels, suggesting a substantial degree of emotional detachment, while 27.3% (n = 115) experienced moderate levels, and 47.9% (n = 202) reported low levels.\u003c/p\u003e\n\u003cp\u003eRegarding personal accomplishment, the mean score was 18.63 (SD = 11.71, range 0-48). A vast majority, 86.3% (n = 364), felt low levels of achievement, highlighting a pervasive sense of inefficacy within the cohort. Moderate and high levels of personal accomplishment were less common, reported by 9.0% (n = 38) and 4.7% (n = 20) of trainees, respectively, underscoring concerns about trainees\u0026rsquo; perceptions of their professional success.\u003c/p\u003e\n\u003cp\u003eFurthermore, the distribution of burnout symptoms varied across specialties and levels of training, revealing that specific disciplines and more senior trainees exhibited higher levels of emotional exhaustion and depersonalization. These findings highlight the need for targeted interventions to mitigate burnout and support the well-being of medical trainees in this region.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e2\u003c/strong\u003e\u003cstrong\u003e. Distribution of Burnout Levels Among Postgraduate Medical Trainees in the Eastern Health Cluster as Assessed by the Maslach Burnout Inventory\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"630\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.095238095238095%\"\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.714285714285715%\"\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.095238095238095%\"\u003e\n \u003cp\u003e\u003cstrong\u003eN\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.714285714285715%\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.96825396825397%\" rowspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eMBI-Emotional Exhaustion\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.22222222222222%\"\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.095238095238095%\"\u003e\n \u003cp\u003e208\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.714285714285715%\"\u003e\n \u003cp\u003e49.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.379958246346554%\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.799582463465555%\"\u003e\n \u003cp\u003e86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"33.82045929018789%\"\u003e\n \u003cp\u003e20.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.379958246346554%\"\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.799582463465555%\"\u003e\n \u003cp\u003e128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"33.82045929018789%\"\u003e\n \u003cp\u003e30.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.96825396825397%\" rowspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eMBI-Depersonalization\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.22222222222222%\"\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.095238095238095%\"\u003e\n \u003cp\u003e202\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.714285714285715%\"\u003e\n \u003cp\u003e47.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.379958246346554%\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.799582463465555%\"\u003e\n \u003cp\u003e115\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"33.82045929018789%\"\u003e\n \u003cp\u003e27.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.379958246346554%\"\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.799582463465555%\"\u003e\n \u003cp\u003e105\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"33.82045929018789%\"\u003e\n \u003cp\u003e24.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.96825396825397%\" rowspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eMBI- Personal Accomplishment\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"32.22222222222222%\"\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.095238095238095%\"\u003e\n \u003cp\u003e364\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.714285714285715%\"\u003e\n \u003cp\u003e86.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.379958246346554%\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.799582463465555%\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"33.82045929018789%\"\u003e\n \u003cp\u003e9.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.379958246346554%\"\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.799582463465555%\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"33.82045929018789%\"\u003e\n \u003cp\u003e4.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSpecialty-Specific Burnout Patterns Among Postgraduate Medical Trainees: Insights from the Maslach Burnout Inventory\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe analysis of burnout levels using the Maslach Burnout Inventory (MBI) among postgraduate medical trainees across various specialties highlighted substantial disparities in burnout symptoms, as outlined in Table 3. The highest levels of emotional exhaustion were observed in diagnostic radiology, where 55.56% of trainees reported high levels, followed closely by internal medicine with 43.37% and general surgery with 26.09%. Diagnostic Radiology again showed the most significant impact in depersonalization, with 55.56% of trainees experiencing high levels; general surgery also demonstrated substantial depersonalization, with 30.43% reporting high levels. These findings indicate a pronounced risk of burnout in these intense clinical settings.\u003c/p\u003e\n\u003cp\u003eOn the spectrum of personal accomplishment, several specialties indicated alarmingly low levels of personal achievement, notably nursing, where 95.83% of trainees felt a low sense of accomplishment, and internal medicine, with 91.57%. Such results indicate a critical area of concern, as a diminished sense of accomplishment can adversely affect trainees\u0026rsquo; personal well-being and professional efficacy.\u003c/p\u003e\n\u003cp\u003eInterestingly, some specialties like dentistry and clinical pharmacy reported significantly lower levels of emotional exhaustion and depersonalization, suggesting variations in the work environment or possibly more effective coping mechanisms. For example, only 11.54% of dentistry trainees reported high emotional exhaustion, and none in clinical pharmacy reported high depersonalization.\u003c/p\u003e\n\u003cp\u003eOverall, the data suggest that while certain specialties are at higher risk of severe burnout symptoms, there is a general trend across all fields indicating significant levels of distress among trainees. These insights underscore the urgency for targeted mental health support and burnout prevention strategies tailored to the unique demands of each specialty, enhancing the resilience and well-being of our future healthcare providers.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e3\u003c/strong\u003e\u003cstrong\u003e. Distribution of Maslach Burnout Inventory (MBI) Scores Across Medical Specialties in Postgraduate Trainees\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"694\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.1294964028777%\" rowspan=\"3\" style=\"width: 19.863%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"24.31654676258993%\" colspan=\"3\" style=\"width: 25.2055%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMBI-Emotional Exhaustion\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.20863309352518%\" colspan=\"3\" style=\"width: 25.0685%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMBI-Depersonalization\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.345323741007196%\" colspan=\"3\" style=\"width: 20%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMBI-Personal Accomplishment\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"7.368421052631579%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.228070175438596%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.228070175438596%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.105263157894736%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003elow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.228070175438596%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003emoderate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.280701754385966%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.228070175438596%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.228070175438596%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003emoderate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.105263157894736%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003ehigh\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"7.368421052631579%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.228070175438596%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.228070175438596%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.105263157894736%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.228070175438596%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.280701754385966%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.228070175438596%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.228070175438596%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.105263157894736%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDentistry\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003cp\u003e(73.08%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e4 (15.38%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(11.54%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003cp\u003e(80.77%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(15.38%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(3.85%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e20 (76.92%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(11.54%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(11.54%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDiagnostic Radiology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(11.11%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e3 (33.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(55.56%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(11.11%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(33.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(55.56%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(88.89%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(11.11%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGeneral Surgery\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003cp\u003e(47.83%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e6 (26.09%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(26.09%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(34.78%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(34.78%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(30.43%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003cp\u003e(91.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(4.35%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(4.35%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDermatology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(55.56%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e2 (22.22%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(22.22%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(77.78%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(22.22%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(66.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(22.22%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(11.11%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAnesthesiology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(18.18%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e5 (45.45%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(36.36%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(45.45%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(18.18%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(36.36%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(63.64%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(36.36%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eClinical Pharmacy\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(75%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePsychiatry\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003cp\u003e(56.25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(12.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(31.25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e(62.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(18.75%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(18.75%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003cp\u003e(75%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(12.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(12.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOncology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNursing\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003cp\u003e(70.83%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(4.17%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003cp\u003e(54.17%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(33.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(12.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e23 (95.83%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(4.17%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eInternal Medicine\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003cp\u003e(38.55%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e15 (18.07%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003cp\u003e(43.37%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003cp\u003e(36.14%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003cp\u003e(31.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e27 (32.53%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e76 (91.57%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(7.23%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(1.2%)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHematology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(80%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e4 (80%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e4 (80%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEmergency Medicine\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e4 (66.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2 (33.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e4 (66.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2 (33.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e5 (83.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (16.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGastroenterology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEpilepsy\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eObstetrics and Gynecology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003cp\u003e(45%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003cp\u003e(30%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e8 (40%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e9 (45%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e3 (15%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e15 (75%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003cp\u003e(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFamily Medicine\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e54 (52.43%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e18 (17.48%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e31 (30.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e48 (46.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e28 (27.18%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e27 (26.21%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e91 (88.35%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e5 (4.85%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(6.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eColorectal Surgery\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePediatrics\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e12 (34.29%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e11 (31.43%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e12 (34.29%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e11 (31.43%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e11 (31.43%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e13 (37.14%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e30 (85.71%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e3 (8.57%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(5.71%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOtorhinolaryngology (ENT)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(75%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2 (50%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e4 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOrthopedics\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(80%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e3 (60%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e5 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCardiology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAnatomical Pathology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNephrology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOphthalmology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e13 (81.25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(6.25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2 (12.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e13 (81.25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (6.25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2 (12.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e14 (87.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2 (12.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEndocrinology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMidwifery\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNeurology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (100%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"18.103448275862068%\" style=\"width: 19.863%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eUrology\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.0344827586206895%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e6 (66.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.4932%;\"\u003e\n \u003cp\u003e2 (22.22%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e1 (11.11%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e5 (55.56%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2 (22.22%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.057471264367816%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2 (22.22%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e7 (77.78%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.195402298850574%\" style=\"width: 8.3562%;\"\u003e\n \u003cp\u003e2 (22.22%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.913793103448276%\" style=\"width: 8.2192%;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBurnout Variability Across Training Centers in the Eastern Health Cluster: Insights from the Maslach Burnout Inventory\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe study assessed burnout among PGMTs across several training centers in the Eastern Health Cluster using the Maslach Burnout Inventory (MBI). King Fahad Specialist Hospital \u0026ndash; Dammam reported a relatively balanced distribution of emotional exhaustion, with 53.01% of trainees experiencing low levels, 21.69% moderate, and 25.3% high levels. Similarly, depersonalization was reported by 50.6% of trainees at low levels, 27.71% at moderate, and 21.69% at high. A significant 91.57% of these trainees felt low personal accomplishment.\u003c/p\u003e\n\u003cp\u003eIn contrast, Erada Complex for Mental Health in Dammam showed a concerning 55.56% of trainees reporting high emotional exhaustion, a notably higher rate compared to other centers. Depersonalization and personal accomplishment followed similar patterns, with one-third experiencing high levels of depersonalization and 77.78% reporting low personal accomplishment.\u003c/p\u003e\n\u003cp\u003eThe Eye Specialist Hospital in Dhahran was noteworthy, where emotional exhaustion and depersonalization were predominantly low (83.33% each), suggesting better burnout management or less stressful working conditions than other centers. Regarding personal accomplishment, all but two trainees felt low levels, indicating a pervasive feeling of inefficacy despite lower levels of exhaustion and depersonalization.\u003c/p\u003e\n\u003cp\u003eThese results highlight significant variability in burnout levels across different medical specialties and training centers, underscoring the need for tailored interventions to address trainees\u0026rsquo; specific challenges in high-stress environments.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e4\u003c/strong\u003e\u003cstrong\u003e. Burnout Levels by Training Center in the Eastern Health Cluster According to the Maslach Burnout Inventory\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"768\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.1875%\" rowspan=\"3\" valign=\"top\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"28.90625%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMBI-Emotional Exhaustion\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.125%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMBI-Depersonalization\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.78125%\" colspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMBI-Personal Accomplishment\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.320754716981131%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLow\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.264150943396226%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eModerate\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.320754716981131%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHigh\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.377358490566039%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003elow\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.320754716981131%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eModerate\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.264150943396226%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHigh\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.849056603773585%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLow\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.377358490566039%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eModerate\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.90566037735849%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHigh\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.320754716981131%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eN (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.264150943396226%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eN (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.320754716981131%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eN (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.377358490566039%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eN (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.320754716981131%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eN (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.264150943396226%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eN (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.849056603773585%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eN (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.377358490566039%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eN (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.90566037735849%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eN (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.1875%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eKing Fahad Specialist Hospital - Dammam\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003cp\u003e(53.01%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e18 (21.69%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e21 (25.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e42 (50.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e23 (27.71%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e18 (21.69%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.984375%\" valign=\"top\"\u003e\n \u003cp\u003e76 (91.57%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(4.82%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.203125%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(3.61%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.1875%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMaternity And Children Hospital - Dammam\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003cp\u003e(34.48%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e10 (34.48%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e9 (31.03%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e11 (37.93%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e10 (34.48%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003cp\u003e(27.59%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.984375%\" valign=\"top\"\u003e\n \u003cp\u003e23 (79.31%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(13.79%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.203125%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003cp\u003e(6.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.1875%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eErada Complex for Mental Health - Dammam\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e3 (33.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(11.11%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e5 (55.56%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e3 (33.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e3 (33.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003cp\u003e(33.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.984375%\" valign=\"top\"\u003e\n \u003cp\u003e7 (77.78%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e1 (11.11%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.203125%\" valign=\"top\"\u003e\n \u003cp\u003e1 (11.11%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.1875%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eEye Specialist Hospital - Dhahran\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e10 (83.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(8.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(8.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e10 (83.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(8.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003cp\u003e(8.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.984375%\" valign=\"top\"\u003e\n \u003cp\u003e10 (83.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e2 (16.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.203125%\" valign=\"top\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003cp\u003e(0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.1875%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eDammam Medical Complex\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e41 (51.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e14 (17.72%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e24 (30.38%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e41 (51.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e18 (22.78%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e20 (25.32%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.984375%\" valign=\"top\"\u003e\n \u003cp\u003e66 (83.54%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e7 (8.86%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.203125%\" valign=\"top\"\u003e\n \u003cp\u003e6 (7.59%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.1875%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eFamily Medicine Academy\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e46 (51.69%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003cp\u003e(19.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e26 (29.21%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e40 (44.94%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e26 (29.21%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e23 (25.84%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.984375%\" valign=\"top\"\u003e\n \u003cp\u003e80 (89.89%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e5 (5.62%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.203125%\" valign=\"top\"\u003e\n \u003cp\u003e4 (4.49%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.1875%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eQatif Central Hospital\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e39 (41.94%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e21 (22.58%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e33 (35.48%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e38 (40.86%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e30 (32.26%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e25 (26.88%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.984375%\" valign=\"top\"\u003e\n \u003cp\u003e77 (82.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e13 (13.98%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.203125%\" valign=\"top\"\u003e\n \u003cp\u003e3 (3.23%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"17.1875%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eOther\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e15 (53.57%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(14.29%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e9 (32.14%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e17 (60.71%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.375%\" valign=\"top\"\u003e\n \u003cp\u003e4 (14.29%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.15625%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003cp\u003e(25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.984375%\" valign=\"top\"\u003e\n \u003cp\u003e25 (89.29%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.59375%\" valign=\"top\"\u003e\n \u003cp\u003e2 (7.14%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.203125%\" valign=\"top\"\u003e\n \u003cp\u003e1 (3.57%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFactors Influencing Burnout Among Healthcare Professionals: Insights from the Maslach Burnout Inventory\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study quantitatively analyzed burnout among healthcare professionals using the Maslach Burnout Inventory (MBI), focusing on Emotional Exhaustion (EE), Depersonalization (DP), and Personal Accomplishment (PA). Results indicated significant associations with several demographic and occupational variables. For Emotional Exhaustion, a significant linear-by-linear association was observed for sex, with males displaying lower high exhaustion levels (23.73%) compared to females (35.10%), p=0.008. Training program type also showed significant associations, notably residency programs, where 31.65% reported high exhaustion, compared to a lower 15% in fellowships, p=0.015. The type of on-call duty was another critical factor, with in-house on-call staff experiencing higher exhaustion (33.44% high) versus those on home calls (21.3% high), p=0.003.\u003c/p\u003e\n\u003cp\u003eDepersonalization outcomes were less uniformly distributed but still significant in residency training programs, with 26.6% of residents experiencing high depersonalization, p=0.025. Similarly, the type of on-call was significantly associated with depersonalization rates; in-house staff reported higher depersonalization (27.71%) compared to home call staff (16.67%), p\u0026lt;0.001. In contrast, marital status and hometown variables showed no significant associations across burnout dimensions, indicating potential resilience factors or lesser impact on burnout levels.\u003c/p\u003e\n\u003cp\u003eThese findings illustrate the complex interplay between work environment, personal demographics, and burnout levels, highlighting specific areas within healthcare settings that may benefit from targeted interventions to reduce burnout rates and improve overall well-being and job satisfaction among professionals.\u003c/p\u003e\n\u003cp\u003eFurther analysis of the burnout dimensions showed that those in high-stress specialties and positions, such as emergency services and critical care, reported higher Emotional Exhaustion and Depersonalization levels. For instance, the number of on-call hours significantly influenced burnout levels, with those reporting over 24 hours of on-call duty demonstrating notably higher levels of Emotional Exhaustion (41.18% high) and Depersonalization (35.29% high), p=0.009 for EE and p=0.013 for DP. This trend suggests extended work hours, particularly those beyond standard shifts, significantly exacerbate stress and burnout symptoms.\u003c/p\u003e\n\u003cp\u003eThe findings also suggest that younger, less experienced (junior level) professionals tend to experience higher rates of depersonalization (26.64% high) compared to their senior counterparts, although this difference was not statistically significant (p=0.066). This indicates a possible vulnerability among less experienced staff, who may require additional support and mentoring to cope with the psychological demands of the healthcare profession.\u003c/p\u003e\n\u003cp\u003eRegarding Personal Accomplishment, most participants across almost all categories reported low levels of accomplishment, which may reflect broader issues related to job satisfaction and recognition within the healthcare sector. Notably, even among those with less demanding on-call responsibilities, the perception of personal accomplishment was predominantly low, suggesting that factors beyond mere workload contribute to this sentiment.\u003c/p\u003e\n\u003cp\u003eThese patterns underscore the importance of considering both organizational and personal factors when addressing burnout in healthcare settings. Interventions such as adjusting on-call schedules, enhancing support systems, and acknowledging the accomplishments of healthcare professionals could be beneficial. Moreover, these results advocate for policy changes and leadership actions to improve work conditions, which may mitigate burnout and foster a more supportive and productive work environment.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e5\u003c/strong\u003e\u003cstrong\u003e. Associations Between Demographic and Occupational Variables with Burnout Dimensions Using the Maslach Burnout Inventory\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.470588235294116%\" colspan=\"2\" rowspan=\"3\" valign=\"top\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"50%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMBI- Emotional exhaustion\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eLinear by Linear Association\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.21568627450981%\" valign=\"top\"\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.41176470588235%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.372549019607842%\" valign=\"top\"\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.21568627450981%\" valign=\"top\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.41176470588235%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.372549019607842%\" valign=\"top\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSex\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eMale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e99 (55.93%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e36 (20.34%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e42 (23.73%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 7.02, p= 0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eFemale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e109 (44.49%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e50 (20.41%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e86 (35.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMarital Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eSingle\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e100 (50.76%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e41 (20.81%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e56 (28.43%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 0.69, p=0.406\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eMarried\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e106 (47.53%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e45 (20.18%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e72 (32.29%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHometown\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eWithin Eastern Province\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e165 (48.39%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e68 (19.94%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e108 (31.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 1.17, p=0.279\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eOutside Eastern Province\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e43 (53.09%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e18 (22.22%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e20 (24.69%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of Training Program\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eResidency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e176 (46.81%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e81 (21.54%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e119 (31.65%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 5.87, p=0.015\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eFellowship\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e13 (65%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e4 (20%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e3 (15%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eDiploma\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e19 (73.08%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e1 (3.85%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e6 (23.08%)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTraining Level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eJunior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e119 (45.95%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e63 (24.32%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e77 (29.73%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 1.37, p=0.241\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eSenior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e80 (49.08%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e28 (17.18%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e55 (33.74%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmoking Habit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e176 (48.48%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e73 (20.11%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e114 (31.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 1.20, p=0.273\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e32 (54.24%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e13 (22.03%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e14 (23.73%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"6\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of Hours of On-Call\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eNone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e37 (61.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e10 (16.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e13 (21.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"6\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 6.73, p= 0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e8 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e32 (60.38%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e5 (9.43%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e16 (30.19%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e12 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e52 (58.43%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e15 (16.85%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e22 (24.72%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e16 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e23 (28.75%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e22 (27.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e35 (43.75%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e24 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e55 (44.72%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e33 (26.83%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e35 (28.46%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026gt;24 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e9 (52.94%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e1 (5.88%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e7 (41.18%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of On-Call\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eIn-House\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e141 (44.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e68 (21.66%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e105 (33.44%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 9.04, p= 0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eHome\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e67 (62.04%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e18 (16.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e23 (21.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.470588235294116%\" colspan=\"2\" rowspan=\"3\" valign=\"top\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"50%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003eMBI- depersonalization\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003eLinear By linear Association\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.21568627450981%\" valign=\"top\"\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.41176470588235%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.372549019607842%\" valign=\"top\"\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.21568627450981%\" valign=\"top\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.41176470588235%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.372549019607842%\" valign=\"top\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSex\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eMale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e85 (48.02%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e54 (30.51%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e38 (21.47%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 0.57,p=0.449\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eFemale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e117 (47.76%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e61 (24.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e67 (27.35%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMarital Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eSingle\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e103 (52.28%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e45 (22.84%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e49 (24.87%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 1.26,p=0.262\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eMarried\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e97 (43.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e70 (31.39%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e56 (25.11%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHometown\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eWithin Eastern Province\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e158 (46.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e98 (28.74%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e85 (24.93%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 1.70,p=0.419\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eOutside Eastern Province\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e44 (54.32%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e17 (20.99%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e20 (24.69%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of Training Program\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eResidency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e174 (46.28%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e102 (27.13%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e100 (26.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e =5.87, p=0.015\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eFellowship\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e12 (60%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e6 (30%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e2 (10%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eDiploma\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e16 (61.54%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e7 (26.92%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e3 (11.54%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTraining Level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eJunior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e11\u003cspan dir=\"RTL\"\u003e5\u003c/span\u003e (44.\u003cspan dir=\"RTL\"\u003e4\u003c/span\u003e%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e7\u003cspan dir=\"RTL\"\u003e5\u003c/span\u003e (28.9\u003cspan dir=\"RTL\"\u003e6\u003c/span\u003e%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cspan dir=\"RTL\"\u003e69\u003c/span\u003e (2\u003cspan dir=\"RTL\"\u003e6\u003c/span\u003e.\u003cspan dir=\"RTL\"\u003e64\u003c/span\u003e%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 3.39,p=0.066\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eSenior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e7\u003cspan dir=\"RTL\"\u003e8\u003c/span\u003e (4\u003cspan dir=\"RTL\"\u003e7\u003c/span\u003e.\u003cspan dir=\"RTL\"\u003e85\u003c/span\u003e%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cspan dir=\"RTL\"\u003e42\u003c/span\u003e (2\u003cspan dir=\"RTL\"\u003e5\u003c/span\u003e.\u003cspan dir=\"RTL\"\u003e77\u003c/span\u003e%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cspan dir=\"RTL\"\u003e43\u003c/span\u003e (2\u003cspan dir=\"RTL\"\u003e6\u003c/span\u003e.\u003cspan dir=\"RTL\"\u003e38\u003c/span\u003e%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmoking Habit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e176 (48.48%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e99 (27.27%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e88 (24.24%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 0.61,p=0.436\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e26 (44.07%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e16 (27.12%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e17 (28.81%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"6\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of Hours of On-Call\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eNone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e35 (58.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e16 (26.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e9 (15%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"6\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 6.16,p=0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e8 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e27 (50.94%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e12 (22.64%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e14 (26.42%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e12 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e49 (55.06%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e22 (24.72%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e18 (20.22%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e16 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e30 (37.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e24 (30%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e26 (32.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e24 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e55 (44.72%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e36 (29.27%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e32 (26.02%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026gt;24 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e6 (35.29%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e5 (29.41%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e6 (35.29%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of On-Call\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eIn-House\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.607843137254903%\" valign=\"top\"\u003e\n \u003cp\u003e133 (42.36%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.705882352941176%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e94 (29.94%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e87 (27.71%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 12.61,p=0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eHome\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.25%\" valign=\"top\"\u003e\n \u003cp\u003e69 (63.89%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.4375%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e21 (19.44%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e18 (16.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.470588235294116%\" colspan=\"2\" rowspan=\"3\" valign=\"top\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"50%\" colspan=\"4\" valign=\"top\"\u003e\n \u003cp\u003eMBI- personal accomplishment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003eLinear By linear Association\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.54248366013072%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.084967320261438%\" valign=\"top\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.372549019607842%\" valign=\"top\"\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.54248366013072%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.084967320261438%\" valign=\"top\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.372549019607842%\" valign=\"top\"\u003e\n \u003cp\u003eN (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSex\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eMale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.77124183006536%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e149 (84.18%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.542483660130719%\" valign=\"top\"\u003e\n \u003cp\u003e19 (10.73%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e9 (5.08%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 0.73,p=0.394\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eFemale\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.510416666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e215 (87.76%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.177083333333332%\" valign=\"top\"\u003e\n \u003cp\u003e19 (7.76%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e11 (4.49%)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eMarital Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eSingle\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.77124183006536%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e167 (84.77%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.542483660130719%\" valign=\"top\"\u003e\n \u003cp\u003e21 (10.66%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e9 (4.57%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 0.23,p=0.394\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eMarried\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.510416666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e195 (87.44%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.177083333333332%\" valign=\"top\"\u003e\n \u003cp\u003e17 (7.62%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e11 (4.93%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eHometown\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eWithin Eastern Province\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.77124183006536%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e296 (86.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.542483660130719%\" valign=\"top\"\u003e\n \u003cp\u003e29 (8.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e16 (4.69%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 0.26,p=0.613\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eOutside Eastern Province\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.510416666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e68 (83.95%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.177083333333332%\" valign=\"top\"\u003e\n \u003cp\u003e9 (11.11%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e4 (4.94%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of Training Program\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eResidency\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.77124183006536%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e321 (85.37%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.542483660130719%\" valign=\"top\"\u003e\n \u003cp\u003e37 (9.84%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e18 (4.79%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"3\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 1.45,p=0.229\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eFellowship\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.510416666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e18 (90%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.177083333333332%\" valign=\"top\"\u003e\n \u003cp\u003e1 (5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e1 (5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eDiploma\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.510416666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e25 (96.15%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.177083333333332%\" valign=\"top\"\u003e\n \u003cp\u003e0 (0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e1 (3.85%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eTraining Level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eJunior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.77124183006536%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e22\u003cspan dir=\"RTL\"\u003e4\u003c/span\u003e (8\u003cspan dir=\"RTL\"\u003e6\u003c/span\u003e.\u003cspan dir=\"RTL\"\u003e48\u003c/span\u003e%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.542483660130719%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cspan dir=\"RTL\"\u003e21\u003c/span\u003e (\u003cspan dir=\"RTL\"\u003e8\u003c/span\u003e.\u003cspan dir=\"RTL\"\u003e11\u003c/span\u003e%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e1\u003cspan dir=\"RTL\"\u003e4\u003c/span\u003e (\u003cspan dir=\"RTL\"\u003e5\u003c/span\u003e.4\u003cspan dir=\"RTL\"\u003e1\u003c/span\u003e%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 0.34,p=0.559\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eSenior\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.510416666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e12\u003cspan dir=\"RTL\"\u003e4\u003c/span\u003e (\u003cspan dir=\"RTL\"\u003e76\u003c/span\u003e.\u003cspan dir=\"RTL\"\u003e07\u003c/span\u003e%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.177083333333332%\" valign=\"top\"\u003e\n \u003cp\u003e2\u003cspan dir=\"RTL\"\u003e5\u003c/span\u003e (1\u003cspan dir=\"RTL\"\u003e5\u003c/span\u003e.\u003cspan dir=\"RTL\"\u003e34\u003c/span\u003e%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e\u003cspan dir=\"RTL\"\u003e14\u003c/span\u003e (\u003cspan dir=\"RTL\"\u003e8.59\u003c/span\u003e%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmoking Habit\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.77124183006536%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e314 (86.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.542483660130719%\" valign=\"top\"\u003e\n \u003cp\u003e32 (8.82%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e17 (4.68%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 0.10,p=0.757\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.510416666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e50 (84.75%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.177083333333332%\" valign=\"top\"\u003e\n \u003cp\u003e6 (10.17%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e3 (5.08%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"6\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eNumber of Hours of On-Call\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eNone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.77124183006536%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e52 (86.67%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.542483660130719%\" valign=\"top\"\u003e\n \u003cp\u003e5 (8.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e3 (5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"6\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 0.98,p=0.768\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e8 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.510416666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e44 (83.02%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.177083333333332%\" valign=\"top\"\u003e\n \u003cp\u003e5 (9.43%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e4 (7.55%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e12 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.510416666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e80 (89.89%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.177083333333332%\" valign=\"top\"\u003e\n \u003cp\u003e3 (3.37%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e6 (6.74%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e16 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.510416666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e68 (85%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.177083333333332%\" valign=\"top\"\u003e\n \u003cp\u003e11 (13.75%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e1 (1.25%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e24 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.510416666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e105 (85.37%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.177083333333332%\" valign=\"top\"\u003e\n \u003cp\u003e13 (10.57%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e5 (4.07%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003e\u0026gt;24 hrs\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.510416666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e15 (88.24%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.177083333333332%\" valign=\"top\"\u003e\n \u003cp\u003e1 (5.88%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e1 (5.88%)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.72549019607843%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of On-Call\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.745098039215685%\" valign=\"top\"\u003e\n \u003cp\u003eIn-House\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.77124183006536%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e274 (87.26%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.542483660130719%\" valign=\"top\"\u003e\n \u003cp\u003e29 (9.24%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003e11 (3.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.529411764705884%\" rowspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e\u0026chi;\u003csup\u003e2\u003c/sup\u003e = 2.51,p=0.113\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.3125%\" valign=\"top\"\u003e\n \u003cp\u003eHome\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.510416666666668%\" colspan=\"2\" valign=\"top\"\u003e\n \u003cp\u003e90 (83.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.177083333333332%\" valign=\"top\"\u003e\n \u003cp\u003e9 (8.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\" valign=\"top\"\u003e\n \u003cp\u003e9 (8.33%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe prevalence of burnout among postgraduate medical trainees in the Eastern Health Cluster of Saudi Arabia, with significant levels of emotional exhaustion (30.3%) and depersonalization (24.9%), mirrors global concerns about the mental health of medical professionals. The review by Shanafelt et al. indicates that 45.8% of US physicians experienced at least one symptom of burnout, which emphasizes the pervasive nature of this issue across different healthcare systems\u0026nbsp;(14).\u003c/p\u003e\n\u003cp\u003eThis study\u0026rsquo;s findings are consistent with the narrative review by Lin et al., which documented that reforms in resident duty hours generally improve resident well-being without negatively impacting their educational outcomes. In our study, no direct correlation was found between the number of on-call hours and the level of burnout, suggesting that the quality of the working environment and the inherent stress of medical training significantly influence burnout rates\u0026nbsp;(15).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFurther comparison is drawn with the study by Fahrenkopf et al., where depressed residents made 6.2 times as many medication errors per resident per month compared to their non-depressed peers. This statistic is alarming and highlights the critical impact of mental health on patient safety, paralleling our findings where high levels of burnout could potentially compromise patient care\u0026nbsp;(16).\u003c/p\u003e\n\u003cp\u003eOur research also aligns with findings from Temple et al., who discuss the global variability in duty-hour policies. The lack of consensus on optimal duty hour configurations suggests that each region may need to develop customized solutions that reflect local training conditions and cultural factors\u0026nbsp;(17).\u003c/p\u003e\n\u003cp\u003eMoreover, the specific burnout rates across various specialties in our study indicate that some disciplines, such as family medicine (24.4% high emotional exhaustion) and internal medicine (19.7% high emotional exhaustion), are more affected than others. These figures can be compared to those in other studies, such as the national survey by Aldrees et al., which found high burnout rates, particularly among surgical specialties, underscoring the need for specialty-specific interventions\u0026nbsp;(18).\u003c/p\u003e\n\u003cp\u003eAdditionally, the impact of burnout on specific clinical skills and cognitive performance, a critical concern highlighted by Fletcher et al., provides an essential context for our findings. They documented that resident well-being significantly improves following duty-hour reforms, aligning with our high emotional exhaustion and depersonalization observations. Their study underlines the potential cognitive repercussions of burnout, which could compromise clinical decision-making and patient care, reinforcing the need for a structured reform in duty hours and support systems within the Saudi medical education system (19). The study by Martini et al. further elucidates the relationship between burnout and the educational environment by assessing the impact of work-hour limits on burnout prevalence among medical residents. Their findings, showing a decrease in burnout prevalence, particularly among junior residents after implementing work-hour restrictions, underscore the potential benefits of similar policy changes in our region. This study supports the notion that structured modifications to the training schedule can mitigate burnout, thereby enhancing the overall training experience and potentially improving patient care outcomes (20).\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe findings from the Eastern Health Cluster indicate a critical need for interventions to reduce burnout among medical trainees, similar to efforts documented in international studies. The substantial prevalence of emotional exhaustion (30.3%) and depersonalization (24.9%) reported in our study highlights the urgency of implementing effective measures to improve the training environment and promote better mental health outcomes for trainees. Future research should focus on longitudinal studies to assess the effectiveness of targeted interventions in reducing burnout and improving educational outcomes and patient care.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFunding:\u0026nbsp;\u003c/strong\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval:\u003c/strong\u003e This was approved by the Institutional Review Board (IRB) of the Erada Complex and Mental Health Hospital in Dammam, Saudi Arabia, with\u0026nbsp;approval number MED008. Clinical trial number: not applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInformed Consent Statement:\u0026nbsp;\u003c/strong\u003eInformed consent was obtained from all subjects involved in the study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Availability Statement:\u0026nbsp;\u003c/strong\u003eData is available upon request. Please contact Dr.Fahad Almsned at [email protected].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgments:\u0026nbsp;\u003c/strong\u003eWe sincerely thank Ms. Rehab Almanasef for her invaluable contributions to this study. Her diligent efforts in writing and reviewing the survey in Google Forms were instrumental to its success.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflicts of Interest:\u0026nbsp;\u003c/strong\u003eThe authors declare no conflict of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; contributions:\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNA designed the study, authored the IRB submission, and developed the methodology.\u003c/p\u003e\n\u003cp\u003eFA assisted in the study design, reviewed the article, and evaluated the statistical analysis.\u003c/p\u003e\n\u003cp\u003eNB designed and created the online survey and reviewed the article.\u003c/p\u003e\n\u003cp\u003eFA reviewed the article and distributed the survey.\u003c/p\u003e\n\u003cp\u003eMA reviewed the article and distributed the survey.\u003c/p\u003e\n\u003cp\u003eMY conducted the statistical analysis.\u003c/p\u003e\n\u003cp\u003eMA helped design the study, recruited participants, and reviewed the article.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cbr\u003e\u0026nbsp;Consent for publication:\u0026nbsp;\u003c/strong\u003eNot applicable\u003cstrong\u003e\u003cbr\u003e\u0026nbsp;Competing interests:\u003c/strong\u003e Not applicable\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eMaslach C, Leiter MP. The Truth About Burnout: How Organizations Cause Personal Stress and What to Do about It. San Francisco, Calif: John Wiley \u0026amp; Sons Inc; 2013. p. 208.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNaji L, Singh B, Shah A, Naji F, Dennis B, Kavanagh O, et al. Global prevalence of burnout among postgraduate medical trainees: a systematic review and meta-regression. CMAJ Open. 2021;9(1):E189\u0026ndash;200.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRotenstein LS, Torre M, Ramos MA, Rosales RC, Guille C, Sen S, et al. Prevalence of Burnout Among Physicians: A Systematic Review. JAMA. 2018;320(11):1131\u0026ndash;50.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDyrbye LN, Thomas MR, Shanafelt TD. Systematic review of depression, anxiety, and other indicators of psychological distress among U.S. and Canadian medical students. Acad Med. 2006;81(4):354\u0026ndash;73.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSeo C, Corrado M, Fournier K, Bailey T, Haykal KA. Addressing the physician burnout epidemic with resilience curricula in medical education: a systematic review. BMC Med Educ. 2021;21(1):80.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJohnson J, Al-Ghunaim TA, Biyani CS, Montgomery A, Morley R, O\u0026rsquo;Connor DB. Burnout in Surgical Trainees: a Narrative Review of Trends, Contributors, Consequences and Possible Interventions. Indian J Surg. 2022;84(1):35\u0026ndash;44.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHameed TK, Masuadi E, Al Asmary NA, Al-Anzi FG, Al Dubayee MS. A study of resident duty hours and burnout in a sample of Saudi residents. BMC Med Educ. 2018;18:180.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAlJhani S, AlHarbi H, AlJameli S, Hameed L, AlAql K, Alsulaimi M. Burnout and coping among healthcare providers working in Saudi Arabia during the COVID-19 pandemic. Middle East Curr Psychiatry. 2021;28(1):29.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDabbagh R, Alwatban L, Alrubaiaan M, Alharbi S, Aldahkil S, AlMuteb M, et al. Depression, stress, anxiety and burnout among undergraduate and postgraduate medical trainees in Saudi Arabia over two decades: A systematic review. Med Teach. 2023;45(5):499\u0026ndash;509.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAl-Qahtani et al. Gender differences in burnout among medical residents in Saudi Arabia. Saudi Medical Journal.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDe Hert S. Burnout in Healthcare Workers: Prevalence, Impact and Preventative Strategies. Local Reg Anesth. 2020;13:171\u0026ndash;83.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLheureux F, Truchot D, Borteyrou X, Rascle N. The maslach burnout inventory \u0026ndash; Human services survey (mbi-hss): factor structure, wording effect and psychometric qualities of known problematic items. Le travail humain. 2017;80(2):161\u0026ndash;86.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSoares JP, Lopes RH, Mendon\u0026ccedil;a PB, de Silva S, Rodrigues CRDV, de Castro CCFM. Use of the Maslach Burnout Inventory Among Public Health Care Professionals: Protocol for a Scoping Review. JMIR Res Protoc. 2022;11(11):e42338.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eShanafelt TD, Boone S, Tan L, Dyrbye LN, Sotile W, Satele D, et al. Burnout and Satisfaction With Work-Life Balance Among US Physicians Relative to the General US Population. Arch Intern Med. 2012;172(18):1377\u0026ndash;85.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLin H, Lin E, Auditore S, Fanning J. A Narrative Review of High-Quality Literature on the Effects of Resident Duty Hours Reforms. Acad Med. 2016;91(1):140\u0026ndash;50.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRates of medication errors among. depressed and burnt out residents: prospective cohort study | The BMJ [Internet]. [cited 2024 Aug 1]. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.bmj.com/content/336/7642/488.long\u003c/span\u003e\u003cspan address=\"https://www.bmj.com/content/336/7642/488.long\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTemple J. Resident duty hours around the globe: where are we now? BMC Med Educ. 2014;14(1):S8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAldrees T, Hassouneh B, Alabdulkarim A, Asad L, Alqaryan S, Aljohani E, et al. Burnout among plastic surgery residents. National survey in Saudi Arabia. Saudi Med J. 2017;38(8):832\u0026ndash;6.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFletcher KE, Reed DA, Arora VM. Patient Safety, Resident Education and Resident Well-Being Following Implementation of the 2003 ACGME Duty Hour Rules. J Gen Intern Med. 2011;26(8):907\u0026ndash;19.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eComparison of Burnout Among Medical Residents Before and After the Implementation of. Work Hours Limits | Academic Psychiatry [Internet]. [cited 2024 Aug 1]. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://link.springer.com/article/10.1176/appi.ap.30.4.352\u003c/span\u003e\u003cspan address=\"https://link.springer.com/article/10.1176/appi.ap.30.4.352\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Burnout Syndrome, Postgraduate Medical Trainees, Eastern Health Cluster, Maslach Burnout Inventory, Emotional Exhaustion, Depersonalization, Personal Accomplishment, Saudi Arabia, Medical Education","lastPublishedDoi":"10.21203/rs.3.rs-4997589/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4997589/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground:\u003c/strong\u003e Burnout among medical professionals is recognized globally, with significant implications for mental health and patient care. This study evaluates the prevalence of burnout among postgraduate medical trainees in the Eastern Health Cluster of Saudi Arabia, aiming to fill the research gap in this region, where specific cultural and training factors may contribute uniquely to burnout.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003e A cross-sectional study was conducted from March to June 2024 across various healthcare facilities within the Eastern Health Cluster. A total of 422 postgraduate medical trainees participated, providing data through a Google Form survey, which included the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS(MP)).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e The study found a high prevalence of burnout symptoms among trainees: 30.3% reported high levels of emotional exhaustion, 24.9% reported high levels of depersonalization, and a significant 86.3% felt low levels of personal accomplishment. Burnout rates varied significantly across specialties and training levels, suggesting targeted interventions were needed.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions:\u003c/strong\u003e The high prevalence of burnout underscores the critical need for tailored preventive strategies and interventions within the training environments to effectively address and mitigate burnout among medical trainees. Future research should explore longitudinal interventions to reduce burnout and enhance trainee well-being.\u003c/p\u003e","manuscriptTitle":"Burnout Prevalence Among Postgraduate Medical Trainees in the Eastern Health Cluster, Saudi Arabia: A Cross-Sectional Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-09-27 01:30:34","doi":"10.21203/rs.3.rs-4997589/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a2cf5482-0db7-4fd6-afca-7d40ea4f510e","owner":[],"postedDate":"September 27th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-12-26T12:23:38+00:00","versionOfRecord":[],"versionCreatedAt":"2024-09-27 01:30:34","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4997589","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4997589","identity":"rs-4997589","version":["v1"]},"buildId":"rHA-KDH7Qsr4HCuvH75dn","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}