Comparison of Assessment by Teacher Standard Patients and Peer Role Play of Medical Students’ History-Taking Skills

Comparison of Assessment by Teacher Standard Patients and Peer Role Play of Medical Students’ History-Taking Skills | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Comparison of Assessment by Teacher Standard Patients and Peer Role Play of Medical Students’ History-Taking Skills Yingying Wei, Na Deng, Hongmei Zheng, Haijun Guo, Huiling Zhang, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4317937/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 02 Oct, 2025 Read the published version in BMC Medical Education → Version 1 posted 3 You are reading this latest preprint version Abstract OBJECTIVE This study aimed to compare the differences between the teaching models of teacher standardized patient (TSP) and peer role play (pRP) in training students’ history-taking skills and to further analyze the differences between scripted and non-scripted pRP. METHODS From May to June 2023, 630 undergraduate third-year medical students majoring in clinical medicine participated in the study. Students were randomly divided into either the TSP or pRP group (both scripted pRP (spRP) and non-scripted pRP (non-spRP)). All groups participated in the same half-hour theory lecture before practicing history taking. After class, we analyzed students’ course behavior and recorded their writing performance and patient history-taking scores when consulting with real patients. Students’ satisfaction with the course was analyzed through a questionnaire. Pre- and post-course self-assessment forms enabled understanding of students’ cognition and self-perceived confidence in their interview skills. RESULTS There were statistically significant differences in the scores of the TSP, spRP, and non-spRP groups in group-based consultation assessment (p 0.05). The mean scores of students' overall attitudinal evaluation of the course had no statistically significant differences (p > 0.05). The mean scores of students' attitudes toward clinical skills development had no statistically significant differences (p > 0.05); the mean scores of students' attitudes towards teamwork had a statistically significant difference (p < 0.05). The pre-simulation self-assessment of all three groups was higher than their post-simulation elf-assessment, and the differences were statistically significant (all p < 0.05). CONCLUSION RP is more suitable for a history-taking practical course for junior students, which can mobilize the classroom atmosphere, increase students' interest and motivation, and develop students' sense of teamwork; spRP’s performance on the interrogation skills test was higher. Students' self-confidence and attention to the course had an impact on their self-assessment evaluation. history taking role play teacher standardized patients medical students Research subjects and methods 1. 1 Participants and grouping The participants in this study were recruited from five classes of the 2019 batch of junior undergraduate students majoring in clinical medicine who participated in the May–June 2023 history-taking diagnostic laboratory course at Guizhou Medical University, with the number of students in each class ranging from 125– 130, for a total of 633 students. Students in each class were divided into 24 groups by the random number table method, and each group numbered from 1–24 had 5–6 students. The groups numbered 1 + 3n (n ≥ 0) were the TSP groups, which could obtain the chief complaint of the interrogation case but did not inform the disease diagnosis; the groups numbered 2 + 3n (n ≥ 0) were the spRP groups, which could obtain the script of the interrogation case but did not inform the disease diagnosis; the groups numbered 3 + 3n (n ≥ 0) were the non-spRP groups, which were required to write the corresponding case scripts based on the chief complaints and disease diagnoses of the cases to be interrogated. Each group contained eight teams with 5–6 students each. The students playing the patients in spRP and non-spRP groups were selected by lottery. All students provided informed consent before participating in the study. 1.2 Teaching arrangement All students had completed theoretical lectures on diagnostic symptomatology and history taking before undergoing the diagnostic laboratory course on history taking. Students in each class had two sessions of four hours each distributed over two weeks and for the same chapter, all of the students were taught by the same teacher. The specific teaching schedule is as follows. 1.2. 1 pre-coursepre-course preparation stage 1) Preparation of the consultation case: The lecturers carefully prepared the consultation case through discussions and determined the final version. 2) SP training: The students in the TSP group were clinical professionals currently engaging in full-time teaching. All of them had experience acting as SPs and conducting clinical skill assessments; therefore, they only underwent SP training in this study without SP assessment. The lecturers conducted SP training for the selected SSPs the day before the course and instructed and assessed all SSPs on the spot, and all of them passed the assessment. 3) Prepost-course self-assessment evaluation form was sent before the course and each student was asked to fill out the formpre-course. 1.2.2 Implementation phase 1) The first session (four class hours): First, a lecture on consultation skills and assessment criteria was delivered (0.5 hours); after that, each group was trained to conduct consultations ( 1.5 hours). The interrogation targets of the TSP groups were the teachers and that of the RP groups were SSPs selected in advance. After the training, each group was required to conduct a consultation exercise (2 hours), and the students were free to decide on the interrogating doctors (2 people) and commentators (2–4 people). The consultation time of each group was limited to 10 minutes, and the commentators were given five minutes to review the consultation, followed by 5-minute feedback from the TSP/SSP. There were six teachers to supervise the courses and answer questions. 2) The second session (four class hours): This was conducted in the form of lectures, with the main goal of developing students' clinical thinking skills. Based on the consultation cases in the first session, discussions were held on the diagnosis process, such as how to obtain information related to the diagnosis from the consultation, how to conduct the consultation focusing on the main symptoms and disease characteristics, how to give a diagnosis based on the content of the consultation, what is the basis of the diagnosis, and what are the targeted treatment measures. At the end of the course, students filled out the post-course self-assessment form on interviewing skills and answered a questionnaire. 3) Assessment: One week after the course, an examination was conducted in groups with real patients as the object of consultation, who had a stable state of illness and were willing to cooperate in clinical assessment. Each class selected 12 patients and communicated with them in advance, with each patient consulted by two students. The objects of the consultation were chosen by random draw, and two students from each group were selected by lottery to play the role of doctors for the consultation ( 10 minutes), and the rest of the students acted as reviewers (5 minutes). After the consultation, the groups were asked questions related to clinical thinking ability and each student was required to submit a complete medical record after one day. Six teachers were divided into groups of two to assess eight groups of students. To limit the influence of subjective factors of teachers, each group of assessment teachers took turns to assess different subgroups of each class. 1.3 Teaching effect evaluation 1.3. 1 Teaching effect assessment included group as well as individual assessment. The group-based assessment included consultation assessment (accounting for 80%) and process assessment (accounting for 20%), with a total score of 100 points. The individual assessment comprised an assessment of medical record writing, totaling 100 points. 1) Consultation assessment is divided into two parts: completeness of history taking and doctor-patient communication skills assessmen: ① Completeness of history taking (83 points, accounting for 60%): general items (5 points), chief complaint ( 10 points), present medical history (45 points), medical history (8 points), personal history (6 points), marital history (4 points), and family history (5 points). The present medical history includes onset (3 points), causes or triggers (4 points), characteristics of the main symptoms (8 points), development and evolution of the condition (5 points), concomitant symptoms ( 11 points), diagnosis and treatment process (7 points), and general conditions during the course of the disease (7 points). ② Doctor-patient communication skills assessment (75 points, accounting for 20%): Based on the Arizona Clinical Interview Rating (ACIR) Scale, interrogation skills include completeness of interrogation, organization, transitional language, continuity, avoiding induced questions, avoiding repetitive questions, summarizing, avoiding medical jargon in questions and citation verification; the humanistic care aspects include eye contact, avoiding inappropriate interruptions to patients, deep dialogue to alleviate patient's concerns, supporting and praising the patient, encouraging the patient to ask questions, and introducing oneself to the patient and explaining the purpose; the last item is a new addition. There are a total of 15 items, including 9 items for interrogation skills (a total of 45 points) and 6 items for humanistic care (a total of 30 points) 16 . 2) Process assessment contains the following three parts, with a total of 60 points: ① Reviewers: Whether the review is reasonable and comprehensive, and whether all reviewers are active speakers, each accounting for 5 points, for a total of 15 points. ② Clinical thinking assessment: a) whether the information obtained through interrogation can lead to a clear diagnosis; b) whether the disease diagnosis is correct; c) Whether their inference about the further inspection the patients need and their possible positive signs is correct; d) correctness of their deduction about the patients’ possible positive physical signs; e) correctness of their deduction about the ancillary tests the patient needs and possible abnormalities; f) whether the diagnostic basis is adequate; whether the treatment measures are targeted (5 points for each, 30 points in total). ③ Teamwork: a) high participation of team members in class; everyone actively participated in the discussion of medical records; b) completion of pre-course preparation and post-simulation assignments by team members; c) no truancy, tardiness, or early departure by team members (5 points for each, 15 points in total). 3) Medical record writing: assessed on an individual basis with a total score of 100 points. 1.3.2 Students’ degree of satisfaction with the course Satisfaction with the course was evaluated on a 5-point Likert scale, ranging from 1 (strongly dissatisfied/disapproved) to 5 (strongly satisfied/strongly approved), based on the following three dimensions: ① evaluation of the overall attitude toward the course (6 items); ② evaluation of attitude toward clinical skills development (3 items); ③ evaluation of attitude toward teamwork (4 items). All are described by mean scores, with 3.5 or more indicating positive attitudes. 1.3.3 Self-assessment of history-taking skills Self-assessment of history-taking skills includes the comparison of pre-course and post-simulation evaluations based on 12 items, scored from 1 (strongly disagree) to 6 (strongly agree), with the total score ranging from 12–72 points, as detailed in Table 1 . Table 1 Self-assessment of history-taking skills Item Content 1. Your class fill in the blanks 2. Which teaching method are you practicing options: SP;spRP༛non-spRP Content of self-assessment Score 1–6: Strongly disapprove – strongly approve 1. I was able to get the patient's history in an organized way Pre-course score: Post-course score: 2. I can get complete information on the main symptoms Pre-course score: Post-course score: 3. I have access to the patient's complete history of present disease Pre-course score: Post-course score: 4. I can obtain complete and meaningful information about the patient’s past medical history Pre-course score: Post-course score: 5. I have access to complete personal history information Pre-course score: Post-course score: 6. I have access to complete family history information Pre-course score: Post-course score: 7. At the end of each project, I can use transition language to naturally transit to the next project Pre-course score: Post-course score: 8. At the end of each interrogation, I can summarize the findings Pre-course score: Post-course score: 9. I can perform case analysis and summarize the results of the interrogation Pre-course score: Post-course score: 10. I can give appropriate feedback on the patient's status Pre-course score: Post-course score: 11. I can listen patiently to the patients and do not interrupt them easily Pre-course score: Post-course score: 12. I am confident in building a good and trusting doctor-patient relationship Pre-course score: Post-course score: Note: TSP=teacher standardized patient, spRP=scripted role play, non-spRP=non-scripted role play 1.4 Statistical methods 1) All results were analyzed using SPSS 23.0 statistical software. 2) All assessment scores were described by rate (%), and the measurement data were described by (± s). The differences between groups were analyzed by one-way ANOVA with post hoc comparisons corrected by the least significant difference ( LSD ) test; the count data were described by composition ratio (%) and post hoc comparisons were corrected by the Bonferroni method. 3) Analysis of self-assessment scores: One-way ANOVA was used to analyze the differences between the groups' scores before and after the course, and the paired-sample t-test was used for analyzing the differences within the groups. 4) Questionnaire reliability test: Before administering the questionnaire, the director of the internal medicine faculty and the group leader of diagnostics were invited to participate in the overall evaluation and screening of the conceptual dimensions, overall structure, question design, and option arrangement of the questionnaire. The questions were assessed for reliability using Cronbach 's α (coefficient > 0.6 was considered acceptable) and validated using exploratory analysis ( Kaiser-Meyer-Olkin , KMO) and Bartlett s’ sphericity test . Learning outcome assessment results 2. 1 Baseline characteristics of the study sample There were 633 students in five classes ( 124, 130, 125, 129, and 125, respectively) and finally 630 students participated in the study (one asked for leave and two were quarantined due to influenza during the course). In all subgroups, there were no statistical differences in age, gender ratio, and mean scores in the final exam of the last semester (all p > 0.05), as detailed in Table 2 . Table 2 Comparison of students' baseline characteristics characteristic TSP (208 students) Grouping spRP (213 students) non-spRP (209 students) F/χ2 p Age (years) 21.23 ± 0.76 21.29 ± 0.87 21.28 ± 0.91 0.291 0.748 Gender (male/female) Average score in the final 95/ 113 104/ 109 97/ 112 0.461 0.794 examination of last semester (points) 77.61 ± 6.02 77.00 ± 7. 15 77.33 ± 6.52 0.444 0.642 Note: TSP = teacher standardized patient, spRP = scripted role play, non-spRP = non-scripted role play 2.2 Results of learning outcome assessment The difference in the total score rate of group assessment was statistically significant (p < 0.05), with the spRP group, non-spRP group, and TSP group having the highest to the lowest scores in the given order. There was no statistically significant difference in the scoring rate of medical record writing among the groups (p > 0.05). Details are shown in Table 3 . The difference in students' scores of completeness of history taking was statistically significant (p < 0.05), and the scores were in descending order for the spRP, non-spRP, and TSP groups. No statistically significant differences were found in the score rates of the three groups for general items, chief complaint, current medical history, past history, personal history, marital history, and family history (all p > 0.05). As for present medical history, the differences in the scores of the three groups were not statistically significant (all p > 0.05) in terms of the onset of the disease, development and evolution of the disease, history of diagnosis and treatment, and general conditions during the course of the disease; the differences in the scores of causes and triggers, characteristics of the main symptoms, and concomitant symptoms were statistically significant (all p < 0.05), with highest to lowest scores in the given order: spRP group, non-spRP group, and TSP group. Details are shown in Table 3 . The differences in the scoring rate of process assessment were statistically significant (p 0.05). As for reviewers and clinical thinking, the difference between the groups was statistically significant (all p < 0.05), and the scores were in descending order for the spRP group, non-spRP group, and TSP group (See Table 3 for details). The differences in the scoring rate of doctor-patient communication skills and interrogation skills were statistically significant (all p < 0.05), and the scores were in descending order for the spRP group, non-spRP group, and TSP group. As for humanistic care, the difference between the three groups was not statistically significant (F = 0.904, p = 0.408). Details are shown in Table 3 . 2 .3 Questionnaire assessment results 2.3. 1 Questionnaire The questionnaire was filled out anonymously by 630 students. After excluding three invalid questionnaires, 627 questionnaires (99.5% recovery rate) were used for analysis, including 207 in the SP group, 212 in the spRP group, and 208 in the non-spRP group. The reliability of the questionnaire was good (α=0.962). The KMO test showed that the questionnaire variables were strongly correlated and could be used for factor analysis ( KMO value=0.939), and Bartlett's sphericity test showed that the correlation coefficient was not a unit array and was suitable for factor analysis (p<0.001). 2.3.2 Students' subjective attitudes toward the course The difference in the mean scores of students' overall attitude toward the course was not statistically significant (F=2. 157, p=0. 117). However, the differences were statistically significant (p<0.05) for the following items: "this teaching method has improved my learning autonomy and motivation," "this teaching method has increased interactivity and liveliness in the classroom," "this teaching method has been helpful in learning and mastering the course knowledge," and "this teaching method has stimulated my interest in learning." For details, refer to Table 4. The differences in the mean scores of students' attitudes toward clinical skills development were not statistically significant in each group (F=0.788, p=0.455) and for each of the specific items (all p>0.455). Details are shown in Table 4. There were statistically significant differences in the mean scores of students’ evaluation of teamwork in each group (F=3.048, p=0.048), and the scores were in descending order for the spRP, non-spRP, and TSP groups, with significant differences in the spRP group compared to the TSP group (p0.05). The differences between the groups were statistically significant (p<0.05) for "this teaching method has developed my team spirit" and "I can actively participate in peer discussions and provide insights," with highest to lowest scores in the order of spRP, non-spRP, and TSP groups. The differences were statistically significant for "feedback from my peers in the group is important" and "I would like to participate in more training with my peers in this teaching mode" (all p>0.05). For details, see Table 4. 2 .4 Pre- and post-simulation comparison of students' self-assessment of interrogation skills Of the 630 questionnaires collected in the study, 10 invalid forms were removed and 620 were finally analyzed, with a recovery rate of 98.4%. There was no statistically significant difference between the groups in terms of students' self-assessment scores before and after the couses (all p>0.05), and the self-assessment scores of students in each group before the courses were higher than those after the courses, and the differences were statistically significant (all p<0.05), as detailed in Table 5 Discussion Research has shown that the SP teaching model can increase students' interest in learning, increase classroom satisfaction, and enable students to improve their interrogation skillsc. Foreign scholars have compared SP and TSP teaching models for social populations and showed that students benefit more through TSP 20 . Therefore, this study introduced TSP into history-taking training as a control to further analyze its benefits for students. Previous studies have shown that different teaching methods, including RP and TSP, are effective in developing students' history-taking skills and doctor-patient communication skills 9, 20-23 . However, fewer studies have directly compared the differences between RP and TSP teaching methods. This study is one of the few randomized controlled studies comparing the differences between RP and TSP. Moreover, we divided RP into scripted pRP and non-scripted pRP to further analyze which teaching model is more applicable to medical students. 3 . 1 Students can achieve higher assessment scores through scripted role play The results of this study showed that students in the spRP group achieved better assessment scores on learning outcomes than the students in the TSP group, which is in line with the findings of Julia and Bosse et al 7, 8, 20 . RP can increase interaction between students, foster their sense of teamwork, and make them more involved and therefore more interested and motivated to learn, helping students understand the evolution of the disease and the characteristics of the patient’s medical history through the given script, which develops their clinical thinking skills. This was also confirmed by the study findings as students in the spRP group scored significantly higher than the TSP group on clinical thinking assessment and subjective attitudes toward the course concerning enhancing learning autonomy and motivation, increasing interest in learning, enhancing classroom interaction, and fostering team spirit. Furthermore, the spRP group scored significantly better than the non-spRP group on the overall group-based assessment of interrogation skills. The scripts used in RP teaching are mostly prepared by teachers and fewer scripts are written by the students themselves. There is a lack of studies directly comparing the differences between the two RP teaching methods. This study is the first randomized controlled study comparing two different script sources for RP pedagogy. Students can directly rehearse if given a script and can learn about the evolution of the disease through the interpretation of the script with higher participation and motivation. However, writing good case scripts requires more specialized theoretical knowledge. Since the subjects of this study were all junior college students when undertaking the diagnostic laboratory course, they lacked knowledge of diseases and clinical thinking skills. At this time, if they were asked to write the scripts, it would invariably make the course more difficult and the students subconsciously might develop a resistance to learning and respond negatively. This is the reason why the non-spRP group scored lower in clinical thinking assessment and satisfaction with the course in terms of enhancing interest and motivation in learning. Therefore, attention should be paid to difficulty stratification in the teaching process, and different teaching objectives should be developed for students in different grades. For example, the primary stage should focus on history taking and case writing skills training, when a scripted RP model can be used, while the advanced stage should develop students' clinical thinking skills and their ability to deal with complex real-life scenarios, where an unscripted RP model is more applicable 24 . 3.2 Unscripted role play is as effective as teacher standardized patient model A systematic review including 22 studies assessed the effectiveness of RP in improving medical students' doctor-patient communication skills and showed that pRP is as effective as other simulated patient teaching methods (including real patients and professional actors playing patients), both of which can improve students' doctor-patient communication and have lower financial costs 10 . This result is similar to the findings for the non-spRP group in this study, whose performance on interrogation skills assessment and case writing was not significantly different from that of the TSP group. This suggests that RP is valuable for students’ doctor-patient communication skills training, as it is as effective as SP, is even better than SP in post-training evaluation, and is less costly 8 . In terms of students' subjective attitudes toward different teaching methods, there was no significant difference in the overall mean scores of all three dimensions, and further refined analysis showed that the TSP group scored higher on "This teaching method has been helpful in learning and mastering the course knowledge," whereas the non-spRP group scored higher on "This teaching method has developed my team spirit." This is because TSPs are professionals and can answer students' questions and give advice, whereas RP is conducted in a more relaxed atmosphere and requires group work to complete tasks. Although RP is gradually being used in clinical skills training and has achieved better teaching results, there are significant differences in implementation, which is one of the reasons for the current disagreement about which teaching method, RP or SP, can achieve better teaching results. 3 .3 Importance of history-taking courses for students should be stressed The results of this study showed that students' pre-course self-assessment was significantly higher than post-course self-assessment, which is inconsistent with the findings of Xue and Li and Keifenheim KE et al. where students' self-assessment was higher after the teaching intervention than before the courses 25-27 . Moreover, some studies do not show any significant difference in the self-assessment of the participants before and after the courses 28 . Self-assessment is one of the most common methods of evaluating students' abilities 29 . Students' assessment and analysis of their performance according to the given criteria helps them ascertain their level of learning ability, leading to self-reflection and self-correction in the learning process, which can have an impact on their learning interest, process, and outcomes. However, the self-assessment results are strongly influenced by students' subjective consciousness. Since the results of the study did not match our expectations and were not supported by previous literature, we interviewed some of the students from each class outside of the course and the initial analysis showed that the students' blind confidence and indifference before courses were responsible for the high pre-course self-assessment. Since the score of the history-taking course does not account for a high percentage of the final exam, and the students had already received lecture training in history-taking and doctor-patient communication courses before participating in the study, in their opinion, they had basic theoretical knowledge about the subject and could obtain high scores without much effort; therefore, they appeared to be very confident in their pre-course self-assessment. However, the gap between theory and practice became evident during the training and final assessment. Although students' post-course self-assessments were significantly lower than their pre-course self-assessments, it showed that the students realized their shortcomings and would not take the course lightly, which is a kind of self-correction in the learning process, and only when they have the right mindset can they achieve good grades. Therefore, it is necessary for medical schools to stress the importance of history-taking courses by increasing class hours, giving the course more weightage in the examination results, and reforming the assessment methods. In addition, medical schools in China also need to pay more attention to the development of students' doctor-patient communication skills 29 . 3 .4 Limitations First, this study was mainly conducted in groups, which not only assessed students' learning but also teamwork among students. However, this could not reflect the real level of consultation skills of each student as there were 5–6 students in each group and only two students played the role of the doctor in the assessment and the rest acted as reviewers. Moreover, since students were randomly selected for the role of doctor, all the students needed to prepare equally before the assessment and it would not affect the students' learning outcomes. Second, we did not track the long-term learning outcomes of the students, such as their scores on the National Medical Licensing Examination and Objective Structured Clinical Examination (OSCE), or their learning during the clinical internship phase. Therefore, this study can only illustrate the benefits in the short term, and further research is needed to confirm the benefits in the long term. Conclusion Both RP and TSPs have value in medical students' history-taking courses. TSPs can give students more professional explanations and teach skills, whereas RP is more likely to foster teamwork, motivation, and interest in learning, especially with scripted RP students can benefit more, while unscripted RP achieves similar teaching results as the TSP method. Therefore, teachers should choose different teaching methods according to the teaching objectives at different stages of learning. In addition, the importance of students' attention to the history-taking course should be stressed, which affects students' self-assessment. The results of this study showed that students' pre-course self-assessment was significantly higher than post-course self-assessment, which does not conform with the findings of any previous studies. This initial analysis may be related to students' blind confidence in their skills before course, but more in-depth studies are needed to further elucidate this association. Declarations Ac k nowledgements We would like to acknowledge and thank the students who participated in this study and provided valuable feedback on questionnaires. Availability of data and materials The data that support the findings of this study are openly available in”figshare” at https://figshare.com/account/items/24903207/edit [doi: 10.6084/m9.figshare.24903207]. Authors’ contributions Yingying Wei and Daiqin Wu designed the research; Xiaoyun Si and Na Deng designed all the questionnaires;Yingying Wei, Hongmei Zheng, Huiling Zhang,Na Deng and Haijun Guo implemented clinical teaching;Yingying Wei and Daiqin Wu assessed the students’ self-evaluation, their satisfaction with teaching methods and theory test; Yingying Wei prepared the manuscript;Daiqin Wu revised the statistical analysis and the manuscript; Bing Li performed the statistical analysis, completed the production of the tables; Xiaoyun Si provided financial support and controlled the teaching effect; Wei Li was responsible for quality control of the whole design and education; The authors read and approved the final manuscript. Funding This study was supported by grants from : The Teaching Reform Research Project of Guizhou Medical University ( JG 2022048). Cardiovascular disease theory and time teaching case base project(YJSCXJH[2018]096) The reform project of teaching content and curriculum system in colleges and universities of Guizhou Province(The reform of teaching content and curriculum system of Physiology based on the integration of ideological and political education into PBL teaching method, GZJG20220724). Reform project of teaching content and curriculum system in colleges and universities in Guizhou Province (Construction of ideological and political education and teaching reform system of Health Assessment based on the goal of cultivating medical talents with ability and political integrity, 2021038). Ethics approval and consent to participate This study was approved by the Ethics Committee of Guizhou Medical University, and informed consent was obtained from all study subjects(Ethics approval Number:2023-211 ). Competing interests The author reports no conflicts of interest in this work. The data that support the findings of this study are openly available in”figshare” at https://figshare.com/account/items/24903207/edit [doi: 10.6084/m9.figshare.24903207]. References Novack DH. Therapeutic aspects of the clinical encounter. J Gen Intern Med . 1987;2:346-355. Peterson MC, Holbrook JH, Von Hales D, et al. Contributions of the history, physical examination, and laboratory investigation in making medical diagnoses. West J Med . 1992;156:163-165. Aspegren K. BEME Guide No. 2: Teaching and learning communication skills in medicine-a review with quality grading of articles. Med Teach . 1999;21:563-570. Xiaohua Lei, Dongguo Chen. Exploration on improving doctor-patient communication ability of medical students in the context of healthy China. China Medicle Herald . 2022;21(06): 187- 189. Kim DY, Kim SH, Ryu KH. Tachycardia induced Cardiomyopathy. Korean Circ J . 2019;49:808-817. Xinhong Sun. Studies of Cultivation of Humanistic Values in Medical Students [D].ShanDong University, 2017. Bosse HM, Schultz JH, Nickel M, Lutz T, Möltner A, Jünger J, Huwendiek S, Nikendei C. The effect of using standardized patients or peer role play on ratings of undergraduate communication training: a randomized controlled trial. Patient Educ Couns . 2012;87:300-306. Bosse HM, Nickel M, Huwendiek S, Schultz JH, Nikendei C. Cost-effectiveness of peer role play and standardized patients in undergraduate communication training. BMC Med Educ . 2015;15:183. Keifenheim KE, Teufel M, Ip J, Speiser N, Leehr EJ, Zipfel S, Herrmann-Werner A. Teaching history taking to medical students: a systematic review. BMC Med Educ . 2015;15:159. Gelis A, Cervello S, Rey R, Llorca G, Lambert P, Franck N, Dupeyron A, Delpont M, Rolland B. Peer Role-Play for Training Communication Skills in Medical Students: A Systematic Review. Simul Healthc . 2020;15:106-111. Jenča D, Melenovský V, Stehlik J, Staněk V, Kettner J, Kautzner J, Adámková V, Wohlfahrt P. Heart failure after myocardial infarction: incidence and predictors. ESC Heart Fail . 2021;8:222-237. Zerilli T, Fidler BD, Tendhar C. Assessing the Impact of Standardized Patient Encounters on Students' Medical History-taking Skills in Practice. Am J Pharm Educ . 2023;87:ajpe8989. He Manqing;Zeng Duo;Wan Xuehong et al, Investigation on present status and problem analysis of standardized patients and standardized patient educators in China[J]. Chinese Journal of Medical Education Research, 2021,20(06):718-722. Haizhi Zheng, Jingying, Teacher standard patients in diagnostic skills training and assessment[J]. Inner Mongolia Education, 2016,(04):75-77. Qiuxia Wang, Chaorong Zhang. Piloting the application of standardized patients in the teaching of clinical "Diagnosis" interrogation in higher education institutions[J]. Occupation,2019,(31):84-85. Educational instruments : Arizona clinical interview medical rating scale. Med Teach . 1980;2:248-251. Shuwei Li, Na Qiao, Hongxiu Xiao. The Research of Using SP to Strengen Medical Students' Interrogation Skills. China Continuing Medical Education. 2020. 12( 14): 71-74. Yihui Liu, Yunlong Fu, Yongchang Wu, Jingyu Huang, Min Hu, Caibo Fu. The applicability of standardized patient in medical students' history-taking and communication skills training. Modern Medicine and Health Research. 2018. 2( 16): 200-201+203. Zengfeng Su, Xianli Pan, Xiaobao Zhang, Wenshan Hu. Application of standardized patients simulation teaching in general medical students' teaching. China Higher Medical Education. 2022. (03): 121- 122. Herchenröther J, Tiedemann E, Vogel H, Simmenroth A. Which teaching method is more effective in a communication course - role-playing versus simulated patients, taught by tutors or faculty staff? A randomized trial. GMS J Med Educ . 2021;38:Doc54. LoSasso AA, Lamberton CE, Sammon M, Berg KT, Caruso JW, Cass J, Hojat M. Enhancing Student Empathetic Engagement, History-Taking, and Communication Skills During Electronic Medical Record Use in Patient Care. Acad Med . 2017;92:1022-1027. Jiang Y, Shi L, Cao J, Zhu L, Sha Y, Li T, Ning X, Hong X, Dai X, Wei J. Effectiveness of clinical scenario dramas to teach doctor-patient relationship and communication skills. BMC Med Educ . 2020;20:473. Laranjeira C, Afonso C, Querido AI. Communicating Bad News: Using Role-Play to Teach Nursing Students. SAGE Open Nurs. 2021;7:23779608211044589. Jingrun Zhao, Li Lian, Yunling Peng, Yanfa Fu, Lan He. Role-play method in teaching history taking skills of internal medicine residents. Chinese Journal of Graduate Medical Education.2020. 4(06): 506-509+518. Yung LM, Nikolic I, Paskin-Flerlage SD, Pearsall RS, Kumar R, Yu PB. A Selective Transforming Growth Factor-β Ligand Trap Attenuates Pulmonary Hypertension. Am J Respir Crit Care Med . 2016;194:1140-1151. Keifenheim KE, Petzold ER, Junne F, Erschens RS, Speiser N, Herrmann-Werner A, Zipfel S, Teufel M. Peer-Assisted History-Taking Groups: A Subjective Assessment of their Impact Upon Medical Students' Interview Skills. GMS J Med Educ . 2017;34:Doc35. Jiao K, Zhen J, Wu M, Teng M, Yang K, Zhou Q, Hu C, Zhou M, Li Y, Li Z. 27-Hydroxycholesterol-induced EndMT acts via STAT3 signaling to promote breast cancer cell migration by altering the tumor microenvironment. Cancer Biol Med . 2020;17:88-100. Kapadia MR, White AV, Peters L, Kreiter C, Koch KE, Rosenbaum ME. Teaching Patient-Related Communication to Surgical Residents in Brief Training Sessions. J Surg Educ . 2020;77:1496-1502. Liang HY, Tang FI, Wang TF, Yu S. Evaluation of Nurse Practitioners' Professional Competence and Comparison of Assessments Using Multiple Methods: Self-Assessment, Peer Assessment, and Supervisor Assessment. Asian Nurs Res (Korean Soc Nurs Sci) . 2021;15:30-36. Savarese G, Lund LH. Global Public Health Burden of Heart Failure. Card Fail Rev . 2017;3:7-11. Table 4 Table 4 is available in the Supplementary Files section. Additional Declarations No competing interests reported. Supplementary Files Table4.docx Cite Share Download PDF Status: Published Journal Publication published 02 Oct, 2025 Read the published version in BMC Medical Education → Version 1 posted Editor invited by journal 03 May, 2024 Submission checks completed at journal 03 May, 2024 First submitted to journal 24 Apr, 2024 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. 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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-4317937","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":299256593,"identity":"dc6b9747-c273-4187-b39c-8a448b951c6a","order_by":0,"name":"Yingying Wei","email":"","orcid":"","institution":"Guizhou Medical University","correspondingAuthor":false,"prefix":"","firstName":"Yingying","middleName":"","lastName":"Wei","suffix":""},{"id":299256595,"identity":"ae6a8e1d-6be2-4510-b0bc-b258c04aa97f","order_by":1,"name":"Na Deng","email":"","orcid":"","institution":"Guizhou Medical University","correspondingAuthor":false,"prefix":"","firstName":"Na","middleName":"","lastName":"Deng","suffix":""},{"id":299256597,"identity":"3d9fa5ae-d827-431b-9524-d9a1b161f0c0","order_by":2,"name":"Hongmei Zheng","email":"","orcid":"","institution":"Guizhou Medical University","correspondingAuthor":false,"prefix":"","firstName":"Hongmei","middleName":"","lastName":"Zheng","suffix":""},{"id":299256600,"identity":"9d1946b2-ee27-44ad-9f2e-52836d2c4784","order_by":3,"name":"Haijun Guo","email":"","orcid":"","institution":"Guizhou Medical University","correspondingAuthor":false,"prefix":"","firstName":"Haijun","middleName":"","lastName":"Guo","suffix":""},{"id":299256603,"identity":"a30f0b6b-4405-4464-9d1c-1821e473e7d5","order_by":4,"name":"Huiling Zhang","email":"","orcid":"","institution":"Affiliated Hospital of Guizhou Medical University","correspondingAuthor":false,"prefix":"","firstName":"Huiling","middleName":"","lastName":"Zhang","suffix":""},{"id":299256606,"identity":"27f0df30-58c8-4cc8-b815-57165029cfb5","order_by":5,"name":"Bing Li","email":"","orcid":"","institution":"Guizhou Medical University","correspondingAuthor":false,"prefix":"","firstName":"Bing","middleName":"","lastName":"Li","suffix":""},{"id":299256609,"identity":"3599f144-1cfe-4305-b8df-0ec47f035a20","order_by":6,"name":"Daiqin Wu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0ElEQVRIiWNgGAWjYBACxvb+B4Yf/9jIsbE3EKmFuecMQ7FkQ5oxP88BIrWwz/Bh+MDbcDhx5owEIrXwzuA9uEFyx2HGDTcfb7zBUGMTTVCL5Oy+ZIPCM+nMBrfTii0YjqXlNhDSYjjngJmBBJs1m8HtHDMJxobDhLXY30gw/8HDxsxjcPMMkVoYZ+QYGPC2OUtIzuAhVkvPsQRjiTNpBvw8QL8kEOMXxvbmA4YfKmzq29gPb7zxocaGsBZkYCCRQIpyiBZSdYyCUTAKRsHIAAA0DkLavZP/bQAAAABJRU5ErkJggg==","orcid":"","institution":"Affiliated Hospital of Guizhou Medical 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11:40:29","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4317937/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4317937/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12909-025-07758-8","type":"published","date":"2025-10-02T15:58:15+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":92883920,"identity":"0f042cb7-da53-4a86-92a3-c0105abfb867","added_by":"auto","created_at":"2025-10-06 16:10:55","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1239944,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4317937/v1/bce5dca6-51f4-453e-b137-263c8f0a68ab.pdf"},{"id":56161519,"identity":"8997e304-6428-4a2c-91d8-f2935cb09dee","added_by":"auto","created_at":"2024-05-09 09:34:50","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":44591,"visible":true,"origin":"","legend":"","description":"","filename":"Table4.docx","url":"https://assets-eu.researchsquare.com/files/rs-4317937/v1/6a99bbc8da49929753210ded.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Comparison of Assessment by Teacher Standard Patients and Peer Role Play of Medical Students’ History-Taking Skills","fulltext":[{"header":"Research subjects and methods","content":"\u003ch3\u003e1. 1 Participants and grouping\u003c/h3\u003e\n\u003cp\u003eThe participants in this study were recruited from five classes of the 2019 batch of junior undergraduate students majoring in clinical medicine who participated in the May\u0026ndash;June 2023 history-taking diagnostic laboratory course at Guizhou Medical University, with the number of students in each class ranging from 125\u0026ndash; 130, for a total of 633 students. Students in each class were divided into 24 groups by the random number table method, and each group numbered from 1\u0026ndash;24 had 5\u0026ndash;6 students. The groups numbered 1\u0026thinsp;+\u0026thinsp;3n (n\u0026thinsp;\u0026ge;\u0026thinsp;0) were the TSP groups, which could obtain the chief complaint of the interrogation case but did not inform the disease diagnosis; the groups numbered 2\u0026thinsp;+\u0026thinsp;3n (n\u0026thinsp;\u0026ge;\u0026thinsp;0) were the\u003c/p\u003e\n\u003cp\u003espRP groups, which could obtain the script of the interrogation case but did not inform the disease diagnosis; the groups numbered 3\u0026thinsp;+\u0026thinsp;3n (n\u0026thinsp;\u0026ge;\u0026thinsp;0) were the non-spRP groups, which were required to write the corresponding case scripts based on the chief complaints and disease diagnoses of the cases to be interrogated. Each group contained eight teams with 5\u0026ndash;6 students each. The students playing the patients in spRP and non-spRP groups were selected by lottery. All students provided informed consent before participating in the study.\u003c/p\u003e\n\u003cdiv id=\"Sec3\"\u003e\n \u003ch2\u003e1.2 Teaching arrangement\u003c/h2\u003e\n \u003cp\u003eAll students had completed theoretical lectures on diagnostic symptomatology and history taking before undergoing the diagnostic laboratory course on history taking. Students in each class had two sessions of four hours each distributed over two weeks and for the same chapter, all of the students were taught by the same teacher. The specific teaching schedule is as follows.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec4\"\u003e\n \u003ch2\u003e1.2. 1 pre-coursepre-course preparation stage\u003c/h2\u003e\n \u003cp\u003e1) Preparation of the consultation case: The lecturers carefully prepared the consultation case through discussions and determined the final version.\u003c/p\u003e\n \u003cp\u003e2) SP training: The students in the TSP group were clinical professionals currently engaging in full-time teaching. All of them had experience acting as SPs and conducting clinical skill assessments; therefore, they only underwent SP training in this study without SP assessment. The lecturers conducted SP training for the selected SSPs the day before the course and instructed and assessed all SSPs on the spot, and all of them passed the assessment.\u003c/p\u003e\n \u003cp\u003e3) Prepost-course self-assessment evaluation form was sent before the course and each student was asked to fill out the formpre-course.\u003c/p\u003e\n \u003cdiv id=\"Sec5\"\u003e\n \u003ch2\u003e1.2.2 Implementation phase\u003c/h2\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003ch3\u003e1) The first session (four class hours): First, a lecture on consultation skills and assessment criteria\u003c/h3\u003e\n\u003cp\u003ewas delivered (0.5 hours); after that, each group was trained to conduct consultations ( 1.5 hours). The interrogation targets of the TSP groups were the teachers and that of the RP groups were SSPs selected in advance. After the training, each group was required to conduct a consultation exercise (2 hours), and the students were free to decide on the interrogating doctors (2 people) and commentators (2\u0026ndash;4 people). The consultation time of each group was limited to 10 minutes, and the commentators were given five minutes to review the consultation, followed by 5-minute feedback from the TSP/SSP. There were six teachers to supervise the courses and answer questions.\u003c/p\u003e\n\u003cp\u003e2) The second session (four class hours): This was conducted in the form of lectures, with the main goal of developing students\u0026apos; clinical thinking skills. Based on the consultation cases in the first session, discussions were held on the diagnosis process, such as how to obtain information related to the diagnosis from the consultation, how to conduct the consultation focusing on the main symptoms and disease characteristics, how to give a diagnosis based on the content of the consultation, what is the basis of the diagnosis, and what are the targeted treatment measures. At the end of the course, students filled out the post-course self-assessment form on interviewing skills and answered a questionnaire.\u003c/p\u003e\n\u003cp\u003e3) Assessment: One week after the course, an examination was conducted in groups with real patients as the object of consultation, who had a stable state of illness and were willing to cooperate in clinical assessment. Each class selected 12 patients and communicated with them in advance, with each patient consulted by two students. The objects of the consultation were chosen by random draw, and two students\u003c/p\u003e\n\u003cp\u003efrom each group were selected by lottery to play the role of doctors for the consultation ( 10 minutes), and the rest of the students acted as reviewers (5 minutes). After the consultation, the groups were asked questions related to clinical thinking ability and each student was required to submit a complete medical record after one day.\u003c/p\u003e\n\u003cp\u003eSix teachers were divided into groups of two to assess eight groups of students. To limit the influence of subjective factors of teachers, each group of assessment teachers took turns to assess different subgroups of each class.\u003c/p\u003e\n\u003cdiv id=\"Sec7\"\u003e\n \u003ch2\u003e1.3 Teaching effect evaluation\u003c/h2\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec8\"\u003e\n \u003ch2\u003e1.3. 1 Teaching effect assessment included group as well as individual assessment.\u003c/h2\u003e\n \u003cp\u003eThe group-based assessment included consultation assessment (accounting for 80%) and process assessment (accounting for 20%), with a total score of 100 points. The individual assessment comprised an assessment of medical record writing, totaling 100 points.\u003c/p\u003e\n \u003cp\u003e1) Consultation assessment is divided into two parts: completeness of history taking and doctor-patient communication skills assessmen:\u003c/p\u003e\n \u003cp\u003e① Completeness of history taking (83 points, accounting for 60%): general items (5 points), chief complaint ( 10 points), present medical history (45 points), medical history (8 points), personal history (6 points), marital history (4 points), and family history (5 points). The present medical history includes onset (3 points), causes or triggers (4 points), characteristics of the main symptoms (8 points), development and evolution of the condition (5 points), concomitant symptoms ( 11 points), diagnosis and treatment process (7 points), and general conditions during the course of the disease (7 points).\u003c/p\u003e\n \u003cp\u003e② Doctor-patient communication skills assessment (75 points, accounting for 20%): Based on the Arizona Clinical Interview Rating (ACIR) Scale, interrogation skills include completeness of interrogation, organization, transitional language, continuity, avoiding induced questions, avoiding repetitive questions, summarizing, avoiding medical jargon in questions and citation verification; the humanistic care aspects include eye contact, avoiding inappropriate interruptions to patients, deep dialogue to alleviate patient\u0026apos;s concerns, supporting and praising the patient, encouraging the patient to ask questions, and introducing oneself to the patient and explaining the purpose; the last item is a new addition. There are a total of 15 items, including 9 items for interrogation skills (a total of 45 points) and 6 items for humanistic care (a total of 30 points)\u003csup\u003e16\u003c/sup\u003e.\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003e2) Process assessment contains the following three parts, with a total of 60 points:\u003c/h3\u003e\n\u003cp\u003e① Reviewers: Whether the review is reasonable and comprehensive, and whether all reviewers are active speakers, each accounting for 5 points, for a total of 15 points.\u003c/p\u003e\n\u003cp\u003e② Clinical thinking assessment: a) whether the information obtained through interrogation can lead to a clear diagnosis; b) whether the disease diagnosis is correct; c) Whether their inference about the further inspection the patients need and their possible positive signs is correct; d) correctness of their deduction about the patients\u0026rsquo; possible positive physical signs; e) correctness of their deduction about the ancillary tests the patient needs and possible abnormalities; f) whether the diagnostic basis is adequate; whether the treatment measures are targeted (5 points for each, 30 points in total).\u003c/p\u003e\n\u003cp\u003e③ Teamwork: a) high participation of team members in class; everyone actively participated in the\u003c/p\u003e\n\u003cdiv\u003e\n \u003cp\u003ediscussion of medical records; b) completion of pre-course preparation and post-simulation assignments by team members; c) no truancy, tardiness, or early departure by team members (5 points for each, 15 points in total).\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003e3) Medical record writing: assessed on an individual basis with a total score of 100 points.\u003c/h3\u003e\n\u003cdiv id=\"Sec11\"\u003e\n \u003ch2\u003e1.3.2 Students\u0026rsquo; degree of satisfaction with the course\u003c/h2\u003e\n \u003cdiv\u003e\n \u003cp\u003eSatisfaction with the course was evaluated on a 5-point Likert scale, ranging from 1 (strongly dissatisfied/disapproved) to 5 (strongly satisfied/strongly approved), based on the following three dimensions: ① evaluation of the overall attitude toward the course (6 items); ② evaluation of attitude toward clinical skills development (3 items); ③ evaluation of attitude toward teamwork (4 items). All are described by mean scores, with 3.5 or more indicating positive attitudes.\u003c/p\u003e\n \u003c/div\u003e\n \u003cdiv id=\"Sec12\"\u003e\n \u003ch2\u003e1.3.3 Self-assessment of history-taking skills\u003c/h2\u003e\n \u003cdiv\u003e\n \u003cp\u003eSelf-assessment of history-taking skills includes the comparison of pre-course and post-simulation evaluations based on 12 items, scored from 1 (strongly disagree) to 6 (strongly agree), with the total score ranging from 12\u0026ndash;72 points, as detailed in Table \u003cspan\u003e1\u003c/span\u003e.\u003c/p\u003e\n \u003c/div\u003e\n \u003cdiv\u003e\n \u003ctable id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv\u003eTable 1\u003c/div\u003e\n \u003cdiv\u003e\n \u003cp\u003eSelf-assessment of history-taking skills\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"2\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eItem\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eContent\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1. Your class\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003efill in the blanks\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2. Which teaching method are you practicing\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eoptions: SP;spRP༛non-spRP\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eContent of self-assessment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eScore 1\u0026ndash;6: Strongly disapprove \u0026ndash; strongly approve\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003e1. I was able to get the patient\u0026apos;s history in an organized way\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePre-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePost-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003e2. I can get complete information on the main symptoms\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePre-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePost-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003e3. I have access to the patient\u0026apos;s complete history of present disease\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePre-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePost-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003e4. I can obtain complete and meaningful information about\u003c/p\u003e\n \u003cp\u003ethe patient\u0026rsquo;s past medical history\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePre-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePost-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003e5. I have access to complete personal history information\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePre-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePost-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003e6. I have access to complete family history information\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePre-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePost-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003e7. At the end of each project, I can use transition language\u003c/p\u003e\n \u003cp\u003eto naturally transit to the next project\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePre-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePost-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003e8. At the end of each interrogation, I can summarize the findings\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePre-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePost-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003e9. I can perform case analysis and summarize the results of the interrogation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePre-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePost-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003e10. I can give appropriate feedback on the patient\u0026apos;s status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePre-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePost-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003e11. I can listen patiently to the patients and do not interrupt them easily\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePre-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePost-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003e12. I am confident in building a good and trusting doctor-patient relationship\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePre-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePost-course score:\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003eNote: TSP=teacher standardized patient, spRP=scripted role play, non-spRP=non-scripted role play\u003c/p\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec16\"\u003e\n \u003ch2\u003e1.4 Statistical methods\u003c/h2\u003e\n\u003c/div\u003e\n\u003ch3\u003e1) All results were analyzed using SPSS 23.0 statistical software.\u003c/h3\u003e\n\u003cdiv\u003e\n \u003cp\u003e2) All assessment scores were described by rate (%), and the measurement data were described by (\u0026plusmn;\u0026thinsp;s). The differences between groups were analyzed by one-way ANOVA with post hoc comparisons corrected by the least significant difference (\u003cem\u003eLSD\u003c/em\u003e) test; the count data were described by composition ratio (%) and post hoc comparisons were corrected by the \u003cem\u003eBonferroni\u003c/em\u003e method.\u003c/p\u003e\n \u003cp\u003e3) Analysis of self-assessment scores: One-way ANOVA was used to analyze the differences between the groups\u0026apos; scores before and after the course, and the paired-sample t-test was used for analyzing the differences within the groups.\u003c/p\u003e\n \u003cp\u003e4) Questionnaire reliability test: Before administering the questionnaire, the director of the internal medicine faculty and the group leader of diagnostics were invited to participate in the overall evaluation and screening of the conceptual dimensions, overall structure, question design, and option arrangement of the questionnaire. The questions were assessed for reliability using \u003cem\u003eCronbach \u0026apos;s \u0026alpha;\u003c/em\u003e (coefficient\u0026thinsp;\u0026gt;\u0026thinsp;0.6 was considered acceptable) and validated using exploratory analysis (\u003cem\u003eKaiser-Meyer-Olkin\u003c/em\u003e, KMO) and \u003cem\u003eBartlett s\u0026rsquo; sphericity test\u003c/em\u003e.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Learning outcome assessment results","content":"\u003ch3\u003e2. 1 Baseline characteristics of the study sample\u003c/h3\u003e\n\u003cdiv\u003e\n \u003cp\u003eThere were 633 students in five classes ( 124, 130, 125, 129, and 125, respectively) and finally 630 students participated in the study (one asked for leave and two were quarantined due to influenza during the course). In all subgroups, there were no statistical differences in age, gender ratio, and mean scores in the final exam of the last semester (all p\u0026thinsp;\u0026gt;\u0026thinsp;0.05), as detailed in Table \u003cspan\u003e2\u003c/span\u003e.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv\u003e\n \u003ctable id=\"Tab2\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv\u003eTable 2\u003c/div\u003e\n \u003cdiv\u003e\n \u003cp\u003eComparison of students\u0026apos; baseline characteristics\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"6\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003echaracteristic\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eTSP\u003c/p\u003e\n \u003cp\u003e(208 students)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eGrouping\u003c/p\u003e\n \u003cp\u003espRP\u003c/p\u003e\n \u003cp\u003e(213 students)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003enon-spRP (209 students)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eF/\u0026chi;2\u003c/em\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAge (years)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.23\u0026thinsp;\u0026plusmn;\u0026thinsp;0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.29\u0026thinsp;\u0026plusmn;\u0026thinsp;0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.28\u0026thinsp;\u0026plusmn;\u0026thinsp;0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.291\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.748\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eGender (male/female) Average score in the final\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e95/ 113\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e104/ 109\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e97/ 112\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.461\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.794\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eexamination of last semester\u003c/p\u003e\n \u003cp\u003e(points)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e77.61\u0026thinsp;\u0026plusmn;\u0026thinsp;6.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e77.00\u0026thinsp;\u0026plusmn;\u0026thinsp;7. 15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e77.33\u0026thinsp;\u0026plusmn;\u0026thinsp;6.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.444\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.642\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\"\u003eNote: TSP\u0026thinsp;=\u0026thinsp;teacher standardized patient, spRP\u0026thinsp;=\u0026thinsp;scripted role play, non-spRP\u0026thinsp;=\u0026thinsp;non-scripted role play\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec20\"\u003e\n \u003ch2\u003e2.2 Results of learning outcome assessment\u003c/h2\u003e\n \u003cdiv\u003e\n \u003cp\u003eThe difference in the total score rate of group assessment was statistically significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), with the spRP group, non-spRP group, and TSP group having the highest to the lowest scores in the given order. There was no statistically significant difference in the scoring rate of medical record writing among the groups (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). Details are shown in Table \u003cspan\u003e3\u003c/span\u003e.\u003c/p\u003e\n \u003cp\u003eThe difference in students\u0026apos; scores of completeness of history taking was statistically significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), and the scores were in descending order for the spRP, non-spRP, and TSP groups. No statistically significant differences were found in the score rates of the three groups for general items, chief complaint, current medical history, past history, personal history, marital history, and family history (all p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). As for present medical history, the differences in the scores of the three groups were not statistically significant (all p\u0026thinsp;\u0026gt;\u0026thinsp;0.05) in terms of the onset of the disease, development and evolution of the disease, history of diagnosis and treatment, and general conditions during the course of the disease; the differences in the scores of causes and triggers, characteristics of the main symptoms, and concomitant symptoms were statistically significant (all p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), with highest to lowest scores in the given order: spRP group, non-spRP group, and TSP group. Details are shown in Table \u003cspan\u003e3\u003c/span\u003e.\u003c/p\u003e\n \u003cp\u003eThe differences in the scoring rate of process assessment were statistically significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), and the scores were in descending order for the spRP group, non-spRP group, and TSP group. In terms of teamwork, the difference between the three groups was not statistically significant (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). As for reviewers and clinical thinking, the difference between the groups was statistically significant (all p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), and the scores were in descending order for the spRP group, non-spRP group, and TSP group (See Table \u003cspan\u003e3\u003c/span\u003e for details).\u003c/p\u003e\n \u003cp\u003eThe differences in the scoring rate of doctor-patient communication skills and interrogation skills were statistically significant (all p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), and the scores were in descending order for the spRP group, non-spRP group, and TSP group. As for humanistic care, the difference between the three groups was not statistically significant (F\u0026thinsp;=\u0026thinsp;0.904, p\u0026thinsp;=\u0026thinsp;0.408). Details are shown in Table \u003cspan\u003e3\u003c/span\u003e.\u003c/p\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n \u003cdiv\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003e2\u003c/strong\u003e\u003cstrong\u003e.3\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eQuestionnaire\u0026nbsp;assessment\u0026nbsp;results\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.3. 1\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eQuestionnaire\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe questionnaire was filled out anonymously by 630 students. After excluding three invalid \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;questionnaires, 627 questionnaires (99.5% recovery rate) were used for analysis, including 207 in the SP \u0026nbsp; group, 212 in the spRP group, and 208 in the non-spRP group. The reliability of the questionnaire was \u0026nbsp; \u0026nbsp; \u0026nbsp; good (\u0026alpha;=0.962). The \u003cem\u003eKMO\u003c/em\u003e test showed that the questionnaire variables were strongly correlated and could be used for factor analysis (\u003cem\u003eKMO\u003c/em\u003e value=0.939), and \u003cem\u003eBartlett\u0026apos;s\u003c/em\u003e \u003cem\u003esphericity\u003c/em\u003e \u003cem\u003etest\u003c/em\u003e showed that the correlation \u0026nbsp; \u0026nbsp;coefficient was not a unit array and was suitable for factor analysis (p\u0026lt;0.001).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.3.2\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eStudents\u0026apos;\u0026nbsp;subjective\u0026nbsp;attitudes\u0026nbsp;toward\u0026nbsp;the\u0026nbsp;course\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe difference in the mean scores of students\u0026apos; overall attitude toward the course was not statistically significant \u0026nbsp;(F=2. 157, p=0. 117). \u0026nbsp;However, the \u0026nbsp;differences were \u0026nbsp;statistically \u0026nbsp;significant \u0026nbsp;(p\u0026lt;0.05) \u0026nbsp;for the following \u0026nbsp;items: \u0026nbsp;\u0026quot;this \u0026nbsp;teaching \u0026nbsp;method \u0026nbsp;has \u0026nbsp;improved \u0026nbsp;my \u0026nbsp;learning \u0026nbsp;autonomy \u0026nbsp;and \u0026nbsp;motivation,\u0026quot; \u0026nbsp; \u0026quot;this teaching method has increased interactivity and liveliness in the classroom,\u0026quot; \u0026nbsp;\u0026quot;this teaching method has been helpful in learning and mastering the course knowledge,\u0026quot; and \u0026quot;this teaching method has stimulated my interest in learning.\u0026quot; For details, refer to Table 4.\u003c/p\u003e\n\u003cp\u003eThe\u0026nbsp;differences\u0026nbsp;in\u0026nbsp;the\u0026nbsp;mean\u0026nbsp;scores\u0026nbsp;of\u0026nbsp;students\u0026apos;\u0026nbsp;attitudes\u0026nbsp;toward\u0026nbsp;clinical\u0026nbsp;skills\u0026nbsp;development\u0026nbsp;were\u0026nbsp;not statistically\u0026nbsp;significant\u0026nbsp;in\u0026nbsp;each\u0026nbsp;group\u0026nbsp;(F=0.788,\u0026nbsp;p=0.455)\u0026nbsp;and\u0026nbsp;for\u0026nbsp;each\u0026nbsp;of\u0026nbsp;the\u0026nbsp;specific\u0026nbsp;items\u0026nbsp;(all\u0026nbsp;p\u0026gt;0.455). Details\u0026nbsp;are\u0026nbsp;shown\u0026nbsp;in\u0026nbsp;Table\u0026nbsp;4.\u003c/p\u003e\n\u003cp\u003eThere were statistically significant differences in the mean scores of students\u0026rsquo; evaluation of teamwork in each group (F=3.048, p=0.048), and the scores were in descending order for the spRP, non-spRP, and TSP groups, with significant differences in the spRP group compared to the TSP group (p\u0026lt;0.05) and no differences in the non-spRP group compared to the spRP and TSP groups (all p\u0026gt;0.05). The differences between the groups were statistically significant (p\u0026lt;0.05) for \u0026quot;this teaching method has developed my team spirit\u0026quot; and \u0026nbsp;\u0026quot;I can actively participate in peer discussions and provide insights,\u0026quot; with highest to lowest scores in the order of spRP, non-spRP, and TSP groups. The differences were statistically significant for \u0026quot;feedback from my peers in the group is important\u0026quot; and \u0026quot;I would like to participate in more training with my peers in this teaching mode\u0026quot; (all p\u0026gt;0.05). For details, see Table 4.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2\u003c/strong\u003e\u003cstrong\u003e.4\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003ePre-\u0026nbsp;and\u0026nbsp;post-simulation\u0026nbsp;comparison\u0026nbsp;of\u0026nbsp;students\u0026apos;\u0026nbsp;self-assessment\u0026nbsp;of\u0026nbsp;interrogation\u0026nbsp;skills \u0026nbsp; \u0026nbsp;\u003c/strong\u003e \u0026nbsp; \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Of the 630 questionnaires collected in the study, 10 invalid forms were removed and 620 were finally analyzed, with a recovery rate of 98.4%. There was no statistically significant difference between the groups in terms of students\u0026apos; self-assessment scores before and after the couses (all p\u0026gt;0.05), and the self-assessment scores of students \u0026nbsp;in each group \u0026nbsp;before the courses were higher than those after the courses, and the differences were statistically significant (all p\u0026lt;0.05), as detailed in Table 5\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n"},{"header":"Discussion","content":"\u003cp\u003eResearch\u0026nbsp;has\u0026nbsp;shown\u0026nbsp;that\u0026nbsp;the\u0026nbsp;SP\u0026nbsp;teaching\u0026nbsp;model\u0026nbsp;can\u0026nbsp;increase\u0026nbsp;students\u0026apos;\u0026nbsp;interest\u0026nbsp;in\u0026nbsp;learning,\u0026nbsp;increase classroom\u0026nbsp;satisfaction,\u0026nbsp;and\u0026nbsp;enable\u0026nbsp;students\u0026nbsp;to\u0026nbsp;improve\u0026nbsp;their\u0026nbsp;interrogation\u0026nbsp;skillsc.\u0026nbsp;Foreign\u0026nbsp;scholars have\u0026nbsp;compared\u0026nbsp;SP\u0026nbsp;and\u0026nbsp;TSP\u0026nbsp;teaching\u0026nbsp;models\u0026nbsp;for\u0026nbsp;social\u0026nbsp;populations\u0026nbsp;and\u0026nbsp;showed\u0026nbsp;that\u0026nbsp;students\u0026nbsp;benefit\u0026nbsp;more through\u0026nbsp;TSP\u003csup\u003e20\u003c/sup\u003e.\u0026nbsp;Therefore,\u0026nbsp;this\u0026nbsp;study\u0026nbsp;introduced\u0026nbsp;TSP\u0026nbsp;into\u0026nbsp;history-taking\u0026nbsp;training\u0026nbsp;as\u0026nbsp;a\u0026nbsp;control\u0026nbsp;to\u0026nbsp;further analyze\u0026nbsp;its\u0026nbsp;benefits\u0026nbsp;for\u0026nbsp;students.\u0026nbsp;Previous\u0026nbsp;studies\u0026nbsp;have\u0026nbsp;shown\u0026nbsp;that\u0026nbsp;different\u0026nbsp;teaching\u0026nbsp;methods,\u0026nbsp;including\u0026nbsp;RP and\u0026nbsp;TSP,\u0026nbsp;are\u0026nbsp;effective\u0026nbsp;in\u0026nbsp;developing\u0026nbsp;students\u0026apos;\u0026nbsp;history-taking\u0026nbsp;skills\u0026nbsp;and\u0026nbsp;doctor-patient\u0026nbsp;communication\u0026nbsp;skills\u003csup\u003e9, 20-23\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;However,\u0026nbsp;fewer\u0026nbsp;studies\u0026nbsp;have\u0026nbsp;directly\u0026nbsp;compared\u0026nbsp;the\u0026nbsp;differences\u0026nbsp;between\u0026nbsp;RP\u0026nbsp;and\u0026nbsp;TSP\u0026nbsp;teaching methods.\u0026nbsp;This\u0026nbsp;study\u0026nbsp;is\u0026nbsp;one\u0026nbsp;of\u0026nbsp;the\u0026nbsp;few\u0026nbsp;randomized\u0026nbsp;controlled\u0026nbsp;studies\u0026nbsp;comparing\u0026nbsp;the\u0026nbsp;differences\u0026nbsp;between\u0026nbsp;RP and\u0026nbsp;TSP. \u0026nbsp;Moreover,\u0026nbsp;we\u0026nbsp;\u0026nbsp;divided\u0026nbsp;\u0026nbsp;RP\u0026nbsp;into\u0026nbsp;\u0026nbsp;scripted\u0026nbsp;pRP\u0026nbsp;and\u0026nbsp;non-scripted\u0026nbsp;pRP\u0026nbsp;to\u0026nbsp;\u0026nbsp;further\u0026nbsp;\u0026nbsp;analyze\u0026nbsp;which teaching\u0026nbsp;model\u0026nbsp;is\u0026nbsp;more\u0026nbsp;applicable\u0026nbsp;to\u0026nbsp;medical\u0026nbsp;students.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3\u003c/strong\u003e\u003cstrong\u003e. 1\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eStudents\u0026nbsp;can\u0026nbsp;achieve\u0026nbsp;higher\u0026nbsp;assessment\u0026nbsp;scores\u0026nbsp;through\u0026nbsp;scripted\u0026nbsp;role\u0026nbsp;play\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe\u0026nbsp;results\u0026nbsp;of\u0026nbsp;this\u0026nbsp;study\u0026nbsp;showed\u0026nbsp;that\u0026nbsp;students\u0026nbsp;in\u0026nbsp;the\u0026nbsp;spRP\u0026nbsp;group\u0026nbsp;achieved\u0026nbsp;better\u0026nbsp;assessment\u0026nbsp;scores\u0026nbsp;on learning\u0026nbsp;outcomes\u0026nbsp;than\u0026nbsp;the\u0026nbsp;students\u0026nbsp;in\u0026nbsp;the\u0026nbsp;TSP\u0026nbsp;group,\u0026nbsp;which\u0026nbsp;is\u0026nbsp;in\u0026nbsp;line\u0026nbsp;with\u0026nbsp;the\u0026nbsp;findings\u0026nbsp;of\u0026nbsp;Julia\u0026nbsp;and\u0026nbsp;Bosse et\u0026nbsp;al\u003csup\u003e7, 8, 20\u003c/sup\u003e.\u0026nbsp;RP\u0026nbsp;can\u0026nbsp;increase\u0026nbsp;interaction\u0026nbsp;between\u0026nbsp;students,\u0026nbsp;foster\u0026nbsp;their\u0026nbsp;sense\u0026nbsp;of\u0026nbsp;teamwork,\u0026nbsp;and\u0026nbsp;make them\u0026nbsp;more\u0026nbsp;involved\u0026nbsp;and\u0026nbsp;therefore\u0026nbsp;more\u0026nbsp;interested\u0026nbsp;and\u0026nbsp;motivated\u0026nbsp;to\u0026nbsp;learn,\u0026nbsp;helping\u0026nbsp;students\u0026nbsp;understand\u0026nbsp;the evolution\u0026nbsp;of\u0026nbsp;the\u0026nbsp;disease\u0026nbsp;and\u0026nbsp;the\u0026nbsp;characteristics\u0026nbsp;of\u0026nbsp;the\u0026nbsp;patient\u0026rsquo;s\u0026nbsp;medical\u0026nbsp;history\u0026nbsp;through\u0026nbsp;the\u0026nbsp;given\u0026nbsp;script, which\u0026nbsp;develops\u0026nbsp;their\u0026nbsp;clinical\u0026nbsp;thinking\u0026nbsp;skills.\u0026nbsp;This\u0026nbsp;was\u0026nbsp;also\u0026nbsp;confirmed\u0026nbsp;by\u0026nbsp;the\u0026nbsp;study\u0026nbsp;findings\u0026nbsp;as\u0026nbsp;students\u0026nbsp;in the\u0026nbsp;\u0026nbsp;spRP\u0026nbsp;\u0026nbsp;group\u0026nbsp;\u0026nbsp;scored\u0026nbsp;\u0026nbsp;significantly\u0026nbsp;\u0026nbsp;higher\u0026nbsp;\u0026nbsp;than\u0026nbsp;\u0026nbsp;the\u0026nbsp;\u0026nbsp;TSP\u0026nbsp;\u0026nbsp;group\u0026nbsp;\u0026nbsp;on\u0026nbsp;\u0026nbsp;clinical\u0026nbsp;\u0026nbsp;thinking\u0026nbsp;\u0026nbsp;assessment\u0026nbsp;\u0026nbsp;and subjective\u0026nbsp;attitudes\u0026nbsp;toward\u0026nbsp;the\u0026nbsp;course\u0026nbsp;concerning\u0026nbsp;enhancing\u0026nbsp;learning\u0026nbsp;autonomy\u0026nbsp;and\u0026nbsp;motivation,\u0026nbsp;increasing interest\u0026nbsp;in\u0026nbsp;learning,\u0026nbsp;enhancing\u0026nbsp;classroom\u0026nbsp;interaction,\u0026nbsp;and\u0026nbsp;fostering\u0026nbsp;team\u0026nbsp;spirit.\u003c/p\u003e\n\u003cp\u003eFurthermore,\u0026nbsp;the\u0026nbsp;\u0026nbsp;spRP\u0026nbsp;group\u0026nbsp;\u0026nbsp;scored\u0026nbsp;\u0026nbsp;significantly\u0026nbsp;better\u0026nbsp;than\u0026nbsp;the\u0026nbsp;non-spRP\u0026nbsp;group\u0026nbsp;\u0026nbsp;on\u0026nbsp;the\u0026nbsp;\u0026nbsp;overall group-based\u0026nbsp;assessment\u0026nbsp;of\u0026nbsp;interrogation\u0026nbsp;skills.\u0026nbsp;The\u0026nbsp;scripts\u0026nbsp;used\u0026nbsp;in\u0026nbsp;RP\u0026nbsp;teaching\u0026nbsp;are\u0026nbsp;mostly\u0026nbsp;prepared\u0026nbsp;by teachers\u0026nbsp;\u0026nbsp;and\u0026nbsp;\u0026nbsp;fewer\u0026nbsp;\u0026nbsp;scripts\u0026nbsp;\u0026nbsp;are\u0026nbsp;\u0026nbsp;written\u0026nbsp;by\u0026nbsp;\u0026nbsp;the\u0026nbsp;\u0026nbsp;students\u0026nbsp;\u0026nbsp;themselves. \u0026nbsp;There\u0026nbsp;\u0026nbsp;is\u0026nbsp;\u0026nbsp;a\u0026nbsp;\u0026nbsp;lack\u0026nbsp;\u0026nbsp;of\u0026nbsp;studies\u0026nbsp;\u0026nbsp;directly comparing\u0026nbsp;\u0026nbsp;the\u0026nbsp;\u0026nbsp;differences\u0026nbsp;\u0026nbsp;between\u0026nbsp;\u0026nbsp;the\u0026nbsp;\u0026nbsp;two\u0026nbsp;\u0026nbsp;RP\u0026nbsp;teaching\u0026nbsp;\u0026nbsp;methods. \u0026nbsp;This\u0026nbsp;\u0026nbsp;study\u0026nbsp;\u0026nbsp;is\u0026nbsp;\u0026nbsp;the\u0026nbsp;\u0026nbsp;first\u0026nbsp;\u0026nbsp;randomized controlled\u0026nbsp;study\u0026nbsp;comparing\u0026nbsp;two\u0026nbsp;different\u0026nbsp;script\u0026nbsp;sources\u0026nbsp;for\u0026nbsp;RP\u0026nbsp;pedagogy.\u0026nbsp;Students\u0026nbsp;can\u0026nbsp;directly\u0026nbsp;rehearse\u0026nbsp;if given\u0026nbsp;a\u0026nbsp;script\u0026nbsp;and\u0026nbsp;can\u0026nbsp;learn\u0026nbsp;about\u0026nbsp;the\u0026nbsp;evolution\u0026nbsp;of\u0026nbsp;the\u0026nbsp;disease\u0026nbsp;through\u0026nbsp;the\u0026nbsp;interpretation\u0026nbsp;of\u0026nbsp;the\u0026nbsp;script\u0026nbsp;with higher\u0026nbsp;\u0026nbsp;participation\u0026nbsp;\u0026nbsp;and\u0026nbsp;\u0026nbsp;motivation. \u0026nbsp;However, \u0026nbsp;writing\u0026nbsp;\u0026nbsp;good\u0026nbsp;\u0026nbsp;case\u0026nbsp;\u0026nbsp;scripts\u0026nbsp;\u0026nbsp;requires\u0026nbsp;\u0026nbsp;more\u0026nbsp;\u0026nbsp;specialized theoretical\u0026nbsp;knowledge.\u0026nbsp;Since\u0026nbsp;the\u0026nbsp;subjects\u0026nbsp;of\u0026nbsp;this\u0026nbsp;study\u0026nbsp;were\u0026nbsp;all\u0026nbsp;junior\u0026nbsp;college\u0026nbsp;students\u0026nbsp;when\u0026nbsp;undertaking the\u0026nbsp;diagnostic\u0026nbsp;laboratory\u0026nbsp;course,\u0026nbsp;they\u0026nbsp;lacked\u0026nbsp;knowledge\u0026nbsp;of\u0026nbsp;diseases\u0026nbsp;and\u0026nbsp;clinical\u0026nbsp;thinking\u0026nbsp;skills.\u0026nbsp;At\u0026nbsp;this time,\u0026nbsp;if\u0026nbsp;they\u0026nbsp;were\u0026nbsp;asked\u0026nbsp;to\u0026nbsp;write\u0026nbsp;the\u0026nbsp;scripts,\u0026nbsp;it\u0026nbsp;would\u0026nbsp;invariably\u0026nbsp;make\u0026nbsp;the\u0026nbsp;course\u0026nbsp;more\u0026nbsp;difficult\u0026nbsp;and\u0026nbsp;the students\u0026nbsp;subconsciously\u0026nbsp;might\u0026nbsp;develop\u0026nbsp;a\u0026nbsp;resistance\u0026nbsp;to\u0026nbsp;learning\u0026nbsp;and\u0026nbsp;respond\u0026nbsp;negatively.\u0026nbsp;This\u0026nbsp;is\u0026nbsp;the\u0026nbsp;reason why\u0026nbsp;the\u0026nbsp;non-spRP\u0026nbsp;group\u0026nbsp;scored\u0026nbsp;lower\u0026nbsp;in\u0026nbsp;clinical\u0026nbsp;thinking\u0026nbsp;assessment\u0026nbsp;and\u0026nbsp;satisfaction\u0026nbsp;with\u0026nbsp;the\u0026nbsp;course\u0026nbsp;in terms\u0026nbsp;of\u0026nbsp;enhancing\u0026nbsp;interest\u0026nbsp;and\u0026nbsp;motivation\u0026nbsp;in\u0026nbsp;learning.\u0026nbsp;Therefore,\u0026nbsp;attention\u0026nbsp;should\u0026nbsp;be\u0026nbsp;paid\u0026nbsp;to\u0026nbsp;difficulty stratification\u0026nbsp;in\u0026nbsp;the\u0026nbsp;teaching\u0026nbsp;process,\u0026nbsp;and\u0026nbsp;different\u0026nbsp;teaching\u0026nbsp;objectives\u0026nbsp;should\u0026nbsp;be\u0026nbsp;developed\u0026nbsp;for\u0026nbsp;students\u0026nbsp;in different\u0026nbsp;grades.\u0026nbsp;For\u0026nbsp;example,\u0026nbsp;the\u0026nbsp;primary\u0026nbsp;stage\u0026nbsp;should\u0026nbsp;focus\u0026nbsp;on\u0026nbsp;history\u0026nbsp;taking\u0026nbsp;and\u0026nbsp;case\u0026nbsp;writing\u0026nbsp;skills training,\u0026nbsp;when\u0026nbsp;a\u0026nbsp;scripted\u0026nbsp;RP\u0026nbsp;model\u0026nbsp;can\u0026nbsp;be\u0026nbsp;used,\u0026nbsp;while\u0026nbsp;the\u0026nbsp;advanced\u0026nbsp;stage\u0026nbsp;should\u0026nbsp;develop\u0026nbsp;students\u0026apos;\u0026nbsp;clinical thinking\u0026nbsp;skills\u0026nbsp;and\u0026nbsp;their\u0026nbsp;ability\u0026nbsp;to\u0026nbsp;deal\u0026nbsp;with\u0026nbsp;complex\u0026nbsp;real-life\u0026nbsp;scenarios,\u0026nbsp;where\u0026nbsp;an\u0026nbsp;unscripted\u0026nbsp;RP\u0026nbsp;model\u0026nbsp;is more\u0026nbsp;applicable\u003csup\u003e24\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eUnscripted\u0026nbsp;role\u0026nbsp;play\u0026nbsp;is\u0026nbsp;as\u0026nbsp;effective\u0026nbsp;as\u0026nbsp;teacher\u0026nbsp;standardized\u0026nbsp;patient\u0026nbsp;model\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA\u0026nbsp;systematic\u0026nbsp;review\u0026nbsp;including\u0026nbsp;22 \u0026nbsp;studies\u0026nbsp;assessed\u0026nbsp;the\u0026nbsp; \u0026nbsp;effectiveness\u0026nbsp;\u0026nbsp;of\u0026nbsp;RP\u0026nbsp;in\u0026nbsp;improving\u0026nbsp;medical students\u0026apos;\u0026nbsp;doctor-patient\u0026nbsp;communication\u0026nbsp;skills\u0026nbsp;and\u0026nbsp;showed\u0026nbsp;that\u0026nbsp;pRP\u0026nbsp;is\u0026nbsp;as\u0026nbsp;effective\u0026nbsp;as\u0026nbsp;other\u0026nbsp;simulated\u0026nbsp;patient teaching\u0026nbsp;methods\u0026nbsp; (including\u0026nbsp;real\u0026nbsp;patients\u0026nbsp;\u0026nbsp;and\u0026nbsp;professional\u0026nbsp;\u0026nbsp;actors\u0026nbsp;playing\u0026nbsp;patients),\u0026nbsp;both\u0026nbsp;\u0026nbsp;of\u0026nbsp;which\u0026nbsp;can improve\u0026nbsp;students\u0026apos;\u0026nbsp;doctor-patient\u0026nbsp;communication\u0026nbsp;and\u0026nbsp;have\u0026nbsp;lower\u0026nbsp;financial\u0026nbsp;costs\u003csup\u003e10\u003c/sup\u003e.\u0026nbsp;This\u0026nbsp;result\u0026nbsp;is\u0026nbsp;similar to\u0026nbsp;the\u0026nbsp;findings\u0026nbsp;for\u0026nbsp;the\u0026nbsp;non-spRP\u0026nbsp;group\u0026nbsp;in\u0026nbsp;this\u0026nbsp;study,\u0026nbsp;whose\u0026nbsp;performance\u0026nbsp;on\u0026nbsp;interrogation\u0026nbsp;skills\u0026nbsp;assessment and\u0026nbsp;\u0026nbsp;case\u0026nbsp;writing\u0026nbsp;was\u0026nbsp;not\u0026nbsp;\u0026nbsp;significantly\u0026nbsp;\u0026nbsp;different\u0026nbsp;\u0026nbsp;from\u0026nbsp;that\u0026nbsp;\u0026nbsp;of\u0026nbsp;the\u0026nbsp;TSP\u0026nbsp;group.\u0026nbsp;This\u0026nbsp; \u0026nbsp;suggests\u0026nbsp;that\u0026nbsp;RP\u0026nbsp;is valuable\u0026nbsp;for\u0026nbsp;students\u0026rsquo;\u0026nbsp;doctor-patient\u0026nbsp;communication\u0026nbsp;skills\u0026nbsp;training,\u0026nbsp;as\u0026nbsp;it\u0026nbsp;is\u0026nbsp;as\u0026nbsp;effective\u0026nbsp;as\u0026nbsp;SP,\u0026nbsp;is\u0026nbsp;even\u0026nbsp;better than\u0026nbsp;SP\u0026nbsp;in\u0026nbsp;post-training\u0026nbsp;evaluation,\u0026nbsp;and\u0026nbsp;is\u0026nbsp;less\u0026nbsp;costly\u003csup\u003e8\u003c/sup\u003e.\u0026nbsp;In\u0026nbsp;terms\u0026nbsp;of\u0026nbsp;students\u0026apos;\u0026nbsp;subjective\u0026nbsp;attitudes\u0026nbsp;toward\u003c/p\u003e\n\u003cp\u003edifferent\u0026nbsp;teaching\u0026nbsp;methods,\u0026nbsp;there\u0026nbsp;was\u0026nbsp;no\u0026nbsp;\u0026nbsp;significant\u0026nbsp;difference\u0026nbsp;in\u0026nbsp;the\u0026nbsp;overall\u0026nbsp;mean\u0026nbsp; \u0026nbsp;scores\u0026nbsp;\u0026nbsp;of\u0026nbsp;all\u0026nbsp;three dimensions, \u0026nbsp;and\u0026nbsp;\u0026nbsp;further\u0026nbsp;\u0026nbsp;refined\u0026nbsp;\u0026nbsp;analysis\u0026nbsp;\u0026nbsp;showed\u0026nbsp;\u0026nbsp;that\u0026nbsp;the\u0026nbsp;\u0026nbsp;TSP\u0026nbsp;group\u0026nbsp; \u0026nbsp;scored\u0026nbsp;\u0026nbsp;higher\u0026nbsp;\u0026nbsp;on\u0026nbsp; \u0026quot;This\u0026nbsp;\u0026nbsp;teaching method\u0026nbsp;has\u0026nbsp;been\u0026nbsp;helpful\u0026nbsp;in\u0026nbsp;learning\u0026nbsp;and\u0026nbsp;mastering\u0026nbsp;the\u0026nbsp;course\u0026nbsp;knowledge,\u0026quot;\u0026nbsp;whereas\u0026nbsp;the\u0026nbsp;non-spRP\u0026nbsp;group scored\u0026nbsp;\u0026nbsp;higher\u0026nbsp;\u0026nbsp;on\u0026nbsp; \u0026quot;This\u0026nbsp;\u0026nbsp;teaching\u0026nbsp;\u0026nbsp;method\u0026nbsp;\u0026nbsp;has\u0026nbsp;\u0026nbsp;developed\u0026nbsp;\u0026nbsp;my\u0026nbsp;\u0026nbsp;team\u0026nbsp;\u0026nbsp;spirit.\u0026quot; \u0026nbsp;This\u0026nbsp;\u0026nbsp;is\u0026nbsp;\u0026nbsp;because\u0026nbsp;\u0026nbsp;TSPs\u0026nbsp;\u0026nbsp;are professionals\u0026nbsp;and\u0026nbsp;can\u0026nbsp;answer\u0026nbsp;\u0026nbsp;students\u0026apos;\u0026nbsp;questions\u0026nbsp;and\u0026nbsp;give\u0026nbsp;advice,\u0026nbsp;whereas\u0026nbsp;RP\u0026nbsp;is\u0026nbsp;conducted\u0026nbsp;in\u0026nbsp;a\u0026nbsp;more relaxed\u0026nbsp;atmosphere\u0026nbsp;and\u0026nbsp;requires\u0026nbsp;group\u0026nbsp;work\u0026nbsp;to\u0026nbsp;complete\u0026nbsp;tasks.\u0026nbsp;Although\u0026nbsp;RP\u0026nbsp;is\u0026nbsp;gradually\u0026nbsp;being\u0026nbsp;used\u0026nbsp;in clinical\u0026nbsp;\u0026nbsp;skills\u0026nbsp;\u0026nbsp;training\u0026nbsp;\u0026nbsp;and\u0026nbsp;\u0026nbsp;has\u0026nbsp;\u0026nbsp;achieved\u0026nbsp;\u0026nbsp;better\u0026nbsp;\u0026nbsp;teaching\u0026nbsp;\u0026nbsp;results, \u0026nbsp;there\u0026nbsp;\u0026nbsp;are\u0026nbsp;\u0026nbsp;significant\u0026nbsp;\u0026nbsp;differences\u0026nbsp;\u0026nbsp;in implementation,\u0026nbsp;which\u0026nbsp;is\u0026nbsp;one\u0026nbsp;of\u0026nbsp;the\u0026nbsp;reasons\u0026nbsp;for\u0026nbsp;the\u0026nbsp;current\u0026nbsp;disagreement\u0026nbsp;about\u0026nbsp;which\u0026nbsp;teaching\u0026nbsp;method,\u0026nbsp;RP or\u0026nbsp;SP,\u0026nbsp;can\u0026nbsp;achieve\u0026nbsp;better\u0026nbsp;teaching\u0026nbsp;results.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3\u003c/strong\u003e\u003cstrong\u003e.3\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eImportance\u0026nbsp;of\u0026nbsp;history-taking\u0026nbsp;courses\u0026nbsp;for\u0026nbsp;students\u0026nbsp;should\u0026nbsp;be\u0026nbsp;stressed\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe\u0026nbsp;results\u0026nbsp;of\u0026nbsp;this\u0026nbsp;study\u0026nbsp;showed\u0026nbsp;that\u0026nbsp;students\u0026apos;\u0026nbsp;pre-course\u0026nbsp;self-assessment\u0026nbsp;was\u0026nbsp;significantly\u0026nbsp;higher than\u0026nbsp;post-course\u0026nbsp;self-assessment,\u0026nbsp;which\u0026nbsp;is\u0026nbsp;inconsistent\u0026nbsp;with\u0026nbsp;the\u0026nbsp;findings\u0026nbsp;of\u0026nbsp;Xue\u0026nbsp;and\u0026nbsp;Li\u0026nbsp;and\u0026nbsp;Keifenheim\u0026nbsp;KE et\u0026nbsp;al.\u0026nbsp;where\u0026nbsp;students\u0026apos;\u0026nbsp;self-assessment\u0026nbsp;was\u0026nbsp;higher\u0026nbsp;after\u0026nbsp;the\u0026nbsp;teaching\u0026nbsp;intervention\u0026nbsp;than\u0026nbsp;before\u0026nbsp;the\u0026nbsp;courses\u0026nbsp;\u003csup\u003e25-27\u003c/sup\u003e.\u0026nbsp;Moreover, \u0026nbsp;some\u0026nbsp;\u0026nbsp;studies\u0026nbsp;\u0026nbsp;do\u0026nbsp;not\u0026nbsp;\u0026nbsp;show\u0026nbsp;\u0026nbsp;any\u0026nbsp;\u0026nbsp;significant\u0026nbsp;\u0026nbsp;difference\u0026nbsp;\u0026nbsp;in\u0026nbsp;the\u0026nbsp;\u0026nbsp;self-assessment\u0026nbsp;\u0026nbsp;of\u0026nbsp;the participants\u0026nbsp;before\u0026nbsp;and\u0026nbsp;after\u0026nbsp;the\u0026nbsp;courses\u003csup\u003e28\u003c/sup\u003e. \u0026nbsp;Self-assessment\u0026nbsp;is\u0026nbsp;one\u0026nbsp;of\u0026nbsp;the\u0026nbsp;most\u0026nbsp;common\u0026nbsp;methods\u0026nbsp;of evaluating\u0026nbsp;students\u0026apos;\u0026nbsp;abilities\u003csup\u003e29\u003c/sup\u003e.\u0026nbsp;Students\u0026apos;\u0026nbsp;assessment\u0026nbsp;and\u0026nbsp;analysis\u0026nbsp;of\u0026nbsp;their\u0026nbsp;performance\u0026nbsp;according\u0026nbsp;to\u0026nbsp;the given\u0026nbsp;\u0026nbsp;\u0026nbsp;criteria\u0026nbsp;\u0026nbsp;helps\u0026nbsp;\u0026nbsp;them\u0026nbsp; \u0026nbsp;ascertain\u0026nbsp;\u0026nbsp;their\u0026nbsp;\u0026nbsp;level\u0026nbsp; \u0026nbsp;of\u0026nbsp;\u0026nbsp;learning\u0026nbsp; \u0026nbsp;ability, \u0026nbsp;\u0026nbsp;leading\u0026nbsp;\u0026nbsp;to\u0026nbsp; \u0026nbsp;self-reflection\u0026nbsp; \u0026nbsp;and self-correction\u0026nbsp;in\u0026nbsp;the\u0026nbsp;learning\u0026nbsp;process,\u0026nbsp;which\u0026nbsp;can\u0026nbsp;have\u0026nbsp;an\u0026nbsp;impact\u0026nbsp;on\u0026nbsp;their\u0026nbsp;learning\u0026nbsp;interest,\u0026nbsp;process,\u0026nbsp;and outcomes.\u0026nbsp;\u0026nbsp;However, \u0026nbsp;the\u0026nbsp;\u0026nbsp;self-assessment\u0026nbsp;\u0026nbsp;results\u0026nbsp;\u0026nbsp;are\u0026nbsp;\u0026nbsp;strongly\u0026nbsp;\u0026nbsp;influenced\u0026nbsp;\u0026nbsp;by\u0026nbsp;\u0026nbsp;students\u0026apos; \u0026nbsp;subjective consciousness.\u0026nbsp;Since\u0026nbsp;the\u0026nbsp;results\u0026nbsp;of\u0026nbsp;the\u0026nbsp;study\u0026nbsp;did\u0026nbsp;not\u0026nbsp;match\u0026nbsp;our\u0026nbsp;expectations\u0026nbsp;and\u0026nbsp;were\u0026nbsp;not\u0026nbsp;supported\u0026nbsp;by previous\u0026nbsp;literature,\u0026nbsp;we\u0026nbsp;interviewed\u0026nbsp;some\u0026nbsp;of\u0026nbsp;the\u0026nbsp;students\u0026nbsp;from\u0026nbsp;each\u0026nbsp;class\u0026nbsp;outside\u0026nbsp;of\u0026nbsp;the\u0026nbsp;course\u0026nbsp;and\u0026nbsp;the initial\u0026nbsp;analysis\u0026nbsp;showed\u0026nbsp;that\u0026nbsp;the\u0026nbsp;students\u0026apos;\u0026nbsp;blind\u0026nbsp;confidence\u0026nbsp;and\u0026nbsp;indifference\u0026nbsp;before\u0026nbsp;courses\u0026nbsp;were\u0026nbsp;responsible for\u0026nbsp;the\u0026nbsp;high\u0026nbsp;pre-course\u0026nbsp;self-assessment.\u0026nbsp;Since\u0026nbsp;the\u0026nbsp;score\u0026nbsp;of\u0026nbsp;the\u0026nbsp;history-taking\u0026nbsp;course\u0026nbsp;does\u0026nbsp;not\u0026nbsp;account\u0026nbsp;for\u0026nbsp;a high\u0026nbsp;percentage\u0026nbsp;of\u0026nbsp;the\u0026nbsp;final\u0026nbsp;exam,\u0026nbsp;and\u0026nbsp;the\u0026nbsp;students\u0026nbsp;had\u0026nbsp;already\u0026nbsp;received\u0026nbsp;lecture\u0026nbsp;training\u0026nbsp;in\u0026nbsp;history-taking and\u0026nbsp;doctor-patient\u0026nbsp;communication\u0026nbsp;courses\u0026nbsp;before\u0026nbsp;participating\u0026nbsp;in\u0026nbsp;the\u0026nbsp;study,\u0026nbsp;in\u0026nbsp;their\u0026nbsp;opinion,\u0026nbsp;they\u0026nbsp;had\u0026nbsp;basic theoretical\u0026nbsp;knowledge\u0026nbsp;about\u0026nbsp;the\u0026nbsp;subject\u0026nbsp;and\u0026nbsp;could\u0026nbsp;obtain\u0026nbsp;high\u0026nbsp;scores\u0026nbsp;without\u0026nbsp;much\u0026nbsp;effort;\u0026nbsp;therefore,\u0026nbsp;they appeared\u0026nbsp;to\u0026nbsp;be\u0026nbsp;very\u0026nbsp;confident\u0026nbsp;in\u0026nbsp;their\u0026nbsp;pre-course\u0026nbsp;self-assessment.\u0026nbsp;However,\u0026nbsp;the\u0026nbsp;gap\u0026nbsp;between\u0026nbsp;theory\u0026nbsp;and practice\u0026nbsp;\u0026nbsp;became\u0026nbsp;\u0026nbsp;evident\u0026nbsp;\u0026nbsp;during\u0026nbsp;\u0026nbsp;the\u0026nbsp;\u0026nbsp;training\u0026nbsp;\u0026nbsp;and\u0026nbsp;\u0026nbsp;final\u0026nbsp;\u0026nbsp;assessment. \u0026nbsp;Although\u0026nbsp;\u0026nbsp;students\u0026apos; \u0026nbsp;post-course self-assessments\u0026nbsp;\u0026nbsp;were\u0026nbsp;\u0026nbsp;significantly\u0026nbsp;\u0026nbsp;lower\u0026nbsp;\u0026nbsp;than\u0026nbsp;\u0026nbsp;their\u0026nbsp;\u0026nbsp;pre-course\u0026nbsp;\u0026nbsp;self-assessments, \u0026nbsp;it\u0026nbsp;\u0026nbsp;showed\u0026nbsp;\u0026nbsp;that\u0026nbsp;\u0026nbsp;the students\u0026nbsp;\u0026nbsp;realized\u0026nbsp;\u0026nbsp;their\u0026nbsp;\u0026nbsp;shortcomings\u0026nbsp;\u0026nbsp;and\u0026nbsp;\u0026nbsp;would\u0026nbsp;\u0026nbsp;not\u0026nbsp;\u0026nbsp;take\u0026nbsp;\u0026nbsp;the\u0026nbsp;\u0026nbsp;course\u0026nbsp;\u0026nbsp;lightly, \u0026nbsp;which\u0026nbsp;\u0026nbsp;is\u0026nbsp;\u0026nbsp;a\u0026nbsp;\u0026nbsp;kind\u0026nbsp;\u0026nbsp;of self-correction\u0026nbsp;in\u0026nbsp;the\u0026nbsp;learning\u0026nbsp;process,\u0026nbsp;and\u0026nbsp;only\u0026nbsp;when\u0026nbsp;they\u0026nbsp;have\u0026nbsp;the\u0026nbsp;right\u0026nbsp;mindset\u0026nbsp;can\u0026nbsp;they\u0026nbsp;achieve\u0026nbsp;good grades.\u0026nbsp;Therefore,\u0026nbsp;it\u0026nbsp;is\u0026nbsp;necessary\u0026nbsp;for\u0026nbsp;medical\u0026nbsp;schools\u0026nbsp;to\u0026nbsp;stress\u0026nbsp;the\u0026nbsp;importance\u0026nbsp;of\u0026nbsp;history-taking\u0026nbsp;courses\u0026nbsp;by increasing\u0026nbsp;class\u0026nbsp;hours,\u0026nbsp;giving\u0026nbsp;the\u0026nbsp;course\u0026nbsp;more\u0026nbsp;weightage\u0026nbsp;in\u0026nbsp;the\u0026nbsp;examination\u0026nbsp;results,\u0026nbsp;and\u0026nbsp;reforming\u0026nbsp;the assessment\u0026nbsp;\u0026nbsp;methods. \u0026nbsp;In\u0026nbsp;\u0026nbsp;addition, \u0026nbsp;medical\u0026nbsp;\u0026nbsp;schools\u0026nbsp;\u0026nbsp;in\u0026nbsp;\u0026nbsp;China\u0026nbsp;\u0026nbsp;also\u0026nbsp;\u0026nbsp;need\u0026nbsp;\u0026nbsp;to\u0026nbsp;\u0026nbsp;pay\u0026nbsp;\u0026nbsp;more\u0026nbsp;\u0026nbsp;attention\u0026nbsp;\u0026nbsp;to\u0026nbsp;\u0026nbsp;the development\u0026nbsp;of\u0026nbsp;students\u0026apos;\u0026nbsp;doctor-patient\u0026nbsp;communication\u0026nbsp;skills\u003csup\u003e29\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3\u003c/strong\u003e\u003cstrong\u003e.4\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eLimitations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFirst,\u0026nbsp;this\u0026nbsp;study\u0026nbsp;was\u0026nbsp;mainly\u0026nbsp;conducted\u0026nbsp;in\u0026nbsp;groups,\u0026nbsp;which\u0026nbsp;not\u0026nbsp;only\u0026nbsp;assessed\u0026nbsp;students\u0026apos;\u0026nbsp;learning\u0026nbsp;but\u0026nbsp;also teamwork\u0026nbsp;among\u0026nbsp;\u0026nbsp;students.\u0026nbsp;However,\u0026nbsp;this\u0026nbsp;could\u0026nbsp;not\u0026nbsp;reflect\u0026nbsp;the\u0026nbsp;real\u0026nbsp;level\u0026nbsp;of\u0026nbsp;consultation\u0026nbsp;\u0026nbsp;skills\u0026nbsp;of\u0026nbsp;each student\u0026nbsp;as\u0026nbsp;there\u0026nbsp;were\u0026nbsp;5\u0026ndash;6\u0026nbsp;students\u0026nbsp;in\u0026nbsp;each\u0026nbsp;group\u0026nbsp;and\u0026nbsp;only\u0026nbsp;two\u0026nbsp;students\u0026nbsp;played\u0026nbsp;the\u0026nbsp;role\u0026nbsp;of\u0026nbsp;the\u0026nbsp;doctor\u0026nbsp;in\u0026nbsp;the assessment\u0026nbsp;and\u0026nbsp;the\u0026nbsp;rest\u0026nbsp;acted\u0026nbsp;as\u0026nbsp;reviewers.\u0026nbsp;Moreover,\u0026nbsp;since\u0026nbsp;students\u0026nbsp;were\u0026nbsp;randomly\u0026nbsp;selected\u0026nbsp;for\u0026nbsp;the\u0026nbsp;role\u0026nbsp;of doctor,\u0026nbsp;all\u0026nbsp;the\u0026nbsp;students\u0026nbsp;needed\u0026nbsp;to\u0026nbsp;prepare\u0026nbsp;equally\u0026nbsp;before\u0026nbsp;the\u0026nbsp;assessment\u0026nbsp;and\u0026nbsp;it\u0026nbsp;would\u0026nbsp;not\u0026nbsp;affect\u0026nbsp;the\u0026nbsp;students\u0026apos; learning\u0026nbsp;outcomes.\u0026nbsp;Second,\u0026nbsp;we\u0026nbsp;did\u0026nbsp;not\u0026nbsp;track\u0026nbsp;the\u0026nbsp;long-term\u0026nbsp;learning\u0026nbsp;outcomes\u0026nbsp;of\u0026nbsp;the\u0026nbsp;students,\u0026nbsp;such\u0026nbsp;as\u0026nbsp;their\u003c/p\u003e\n\u003cp\u003escores \u0026nbsp;on the National Medical Licensing Examination and \u0026nbsp;Objective \u0026nbsp;Structured \u0026nbsp;Clinical Examination (OSCE), or their learning during the clinical internship phase. Therefore, this study can only illustrate the benefits in the short term, and further research is needed to confirm the benefits in the long term.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eBoth RP and TSPs have value in medical students' history-taking courses. TSPs can give students more professional explanations and teach skills, whereas RP is more likely to foster teamwork, motivation, and interest in learning, especially with scripted RP students can benefit more, while unscripted RP achieves similar teaching results as the TSP method. Therefore, teachers should choose different teaching methods according to the teaching objectives at different stages of learning. In addition, the importance of students' attention to the history-taking course should be stressed, which affects students' self-assessment. The results of this study showed that students' pre-course self-assessment was significantly higher than post-course self-assessment, which does not conform with the findings of any previous studies. This initial analysis may be related to students' blind confidence in their skills before course, but more in-depth studies are needed to further elucidate this association.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAc\u003c/strong\u003e\u003cstrong\u003ek\u003c/strong\u003e\u003cstrong\u003enowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe\u0026nbsp;would\u0026nbsp;like\u0026nbsp;to\u0026nbsp;acknowledge\u0026nbsp;and\u0026nbsp;thank\u0026nbsp;the\u0026nbsp;students\u0026nbsp;who\u0026nbsp;participated\u0026nbsp;in\u0026nbsp;this\u0026nbsp;study\u0026nbsp;and\u0026nbsp;provided\u0026nbsp;valuable feedback\u0026nbsp;on\u0026nbsp;questionnaires.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability\u0026nbsp;of\u0026nbsp;data\u0026nbsp;and\u0026nbsp;materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data that support the findings of this study are openly available in\u0026rdquo;figshare\u0026rdquo; at\u0026nbsp;https://figshare.com/account/items/24903207/edit [doi: 10.6084/m9.figshare.24903207].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo;\u0026nbsp;contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eYingying Wei and Daiqin Wu designed the research; Xiaoyun Si and Na Deng designed all the questionnaires;Yingying \u0026nbsp;Wei, Hongmei Zheng, Huiling Zhang,Na Deng and Haijun Guo \u0026nbsp;implemented clinical teaching;Yingying Wei and Daiqin Wu assessed the students\u0026rsquo; self-evaluation, their satisfaction with \u0026nbsp;teaching \u0026nbsp;methods \u0026nbsp; and \u0026nbsp;theory \u0026nbsp;test; Yingying Wei prepared the manuscript;Daiqin Wu revised the statistical analysis and the manuscript; Bing Li performed \u0026nbsp;the \u0026nbsp;statistical \u0026nbsp; analysis, completed the production of the tables; Xiaoyun Si provided financial support and controlled the teaching effect; Wei Li was responsible for quality control of the whole design and education; The authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis\u0026nbsp;study\u0026nbsp;was\u0026nbsp;supported\u0026nbsp;by\u0026nbsp;grants\u0026nbsp;from\u0026nbsp;:\u003c/p\u003e\n\u003cp\u003eThe\u0026nbsp;Teaching\u0026nbsp;Reform\u0026nbsp;Research\u0026nbsp;Project\u0026nbsp;of\u0026nbsp;Guizhou\u0026nbsp;Medical University\u0026nbsp;(\u0026nbsp;JG\u0026nbsp;2022048).\u003c/p\u003e\n\u003cp\u003eCardiovascular disease theory and time teaching case base project(YJSCXJH[2018]096)\u003c/p\u003e\n\u003cp\u003eThe reform project of teaching content and curriculum system in colleges and universities of Guizhou Province(The reform of teaching content and curriculum system of Physiology based on the integration of ideological and political education into PBL teaching method, GZJG20220724).\u003c/p\u003e\n\u003cp\u003eReform project of teaching content and curriculum system in colleges and universities in Guizhou Province (Construction of ideological and political education and teaching reform system of Health Assessment based on the goal of cultivating medical talents with ability and political integrity, 2021038).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics\u0026nbsp;approval\u0026nbsp;and\u0026nbsp;consent\u0026nbsp;to\u0026nbsp;participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was approved by the Ethics Committee of\u0026nbsp;Guizhou Medical University, and informed consent was obtained from all study subjects(Ethics approval Number:2023-211 ).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting\u0026nbsp;interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe\u0026nbsp;author\u0026nbsp;reports\u0026nbsp;no\u0026nbsp;conflicts\u0026nbsp;of\u0026nbsp;interest\u0026nbsp;in\u0026nbsp;this\u0026nbsp;work.\u003c/p\u003e\n\u003cp\u003eThe data that support the findings of this study are openly available in\u0026rdquo;figshare\u0026rdquo; at https://figshare.com/account/items/24903207/edit [doi: 10.6084/m9.figshare.24903207].\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eNovack DH. Therapeutic aspects of the clinical encounter. \u003cem\u003eJ Gen Intern Med\u003c/em\u003e. 1987;2:346-355.\u003c/li\u003e\n\u003cli\u003ePeterson MC, Holbrook JH, Von Hales D, et al. Contributions of the history, physical examination, and laboratory investigation in making medical diagnoses. \u003cem\u003eWest J Med\u003c/em\u003e. 1992;156:163-165.\u003c/li\u003e\n\u003cli\u003eAspegren K. BEME Guide No. 2: Teaching and learning communication skills in medicine-a review with quality grading of articles. \u003cem\u003eMed Teach\u003c/em\u003e. 1999;21:563-570.\u003c/li\u003e\n\u003cli\u003eXiaohua Lei, Dongguo Chen. Exploration on improving doctor-patient communication ability of medical students in the context of healthy China. \u003cem\u003eChina Medicle Herald\u003c/em\u003e\u003cem\u003e.\u003c/em\u003e 2022;21(06): 187- 189.\u003c/li\u003e\n\u003cli\u003eKim DY, Kim SH, Ryu KH. Tachycardia induced Cardiomyopathy. \u003cem\u003eKorean Circ J\u003c/em\u003e. 2019;49:808-817.\u003c/li\u003e\n\u003cli\u003eXinhong Sun. Studies of Cultivation of Humanistic Values in Medical Students [D].ShanDong University, 2017.\u003c/li\u003e\n\u003cli\u003eBosse HM, Schultz JH, Nickel M, Lutz T, M\u0026ouml;ltner A, J\u0026uuml;nger J, Huwendiek S, Nikendei C. The effect of using standardized patients or peer role play on ratings of undergraduate communication training: a randomized controlled trial. \u003cem\u003ePatient Educ Couns\u003c/em\u003e. 2012;87:300-306.\u003c/li\u003e\n\u003cli\u003eBosse HM, Nickel M, Huwendiek S, Schultz JH, Nikendei C. Cost-effectiveness of peer role play and standardized patients in undergraduate communication training. \u003cem\u003eBMC Med Educ\u003c/em\u003e. 2015;15:183.\u003c/li\u003e\n\u003cli\u003eKeifenheim KE, Teufel M, Ip J, Speiser N, Leehr EJ, Zipfel S, Herrmann-Werner A. Teaching history taking to medical students: a systematic review. \u003cem\u003eBMC Med Educ\u003c/em\u003e. 2015;15:159.\u003c/li\u003e\n\u003cli\u003eGelis A, Cervello S, Rey R, Llorca G, Lambert P, Franck N, Dupeyron A, Delpont M, Rolland B. Peer Role-Play for Training Communication Skills in Medical Students: A Systematic Review. \u003cem\u003eSimul Healthc\u003c/em\u003e. 2020;15:106-111.\u003c/li\u003e\n\u003cli\u003eJenča D, Melenovsk\u0026yacute; V, Stehlik J, Staněk V, Kettner J, Kautzner J, Ad\u0026aacute;mkov\u0026aacute; V, Wohlfahrt P. Heart failure after myocardial infarction: incidence and predictors. \u003cem\u003eESC Heart Fail\u003c/em\u003e. 2021;8:222-237.\u003c/li\u003e\n\u003cli\u003eZerilli T, Fidler BD, Tendhar C. Assessing the Impact of Standardized Patient Encounters on Students\u0026apos; Medical History-taking Skills in Practice. \u003cem\u003eAm J Pharm Educ\u003c/em\u003e. 2023;87:ajpe8989.\u003c/li\u003e\n\u003cli\u003eHe Manqing;Zeng Duo;Wan Xuehong et al, Investigation on present status and problem analysis of standardized patients and standardized patient educators in China[J]. Chinese Journal of Medical Education Research, 2021,20(06):718-722.\u003c/li\u003e\n\u003cli\u003eHaizhi Zheng, Jingying, Teacher standard patients in diagnostic skills training and assessment[J]. Inner Mongolia Education, 2016,(04):75-77.\u003c/li\u003e\n\u003cli\u003eQiuxia Wang, Chaorong Zhang. Piloting the application of standardized patients in the teaching of clinical \u0026quot;Diagnosis\u0026quot; interrogation in higher education institutions[J]. Occupation,2019,(31):84-85.\u003c/li\u003e\n\u003cli\u003eEducational instruments : Arizona clinical interview medical rating scale. \u003cem\u003eMed Teach\u003c/em\u003e. 1980;2:248-251.\u003c/li\u003e\n\u003cli\u003eShuwei Li, Na Qiao, Hongxiu Xiao. The Research of Using SP to Strengen Medical Students\u0026apos; Interrogation Skills. China Continuing Medical Education. 2020. 12( 14): 71-74.\u003c/li\u003e\n\u003cli\u003eYihui Liu, Yunlong Fu, Yongchang Wu, Jingyu Huang, Min Hu, Caibo Fu. The applicability of standardized patient in medical students\u0026apos; history-taking and communication skills training. Modern Medicine and Health Research. 2018. 2( 16): 200-201+203.\u003c/li\u003e\n\u003cli\u003eZengfeng Su, Xianli Pan, Xiaobao Zhang, Wenshan Hu. Application of standardized patients simulation teaching in general medical students\u0026apos; teaching. China Higher Medical Education. 2022. (03): 121- 122.\u003c/li\u003e\n\u003cli\u003eHerchenr\u0026ouml;ther J, Tiedemann E, Vogel H, Simmenroth A. Which teaching method is more effective in a communication course - role-playing versus simulated patients, taught by tutors or faculty staff? A randomized trial. \u003cem\u003eGMS J Med Educ\u003c/em\u003e. 2021;38:Doc54.\u003c/li\u003e\n\u003cli\u003eLoSasso AA, Lamberton CE, Sammon M, Berg KT, Caruso JW, Cass J, Hojat M. Enhancing Student Empathetic Engagement, History-Taking, and Communication Skills During Electronic Medical Record Use in Patient Care. \u003cem\u003eAcad Med\u003c/em\u003e. 2017;92:1022-1027.\u003c/li\u003e\n\u003cli\u003eJiang Y, Shi L, Cao J, Zhu L, Sha Y, Li T, Ning X, Hong X, Dai X, Wei J. Effectiveness of clinical scenario dramas to teach doctor-patient relationship and communication skills. \u003cem\u003eBMC Med Educ\u003c/em\u003e. 2020;20:473.\u003c/li\u003e\n\u003cli\u003eLaranjeira C, Afonso C, Querido AI. Communicating Bad News: Using Role-Play to Teach Nursing Students. SAGE Open Nurs. 2021;7:23779608211044589.\u003c/li\u003e\n\u003cli\u003eJingrun Zhao, Li Lian, Yunling Peng, Yanfa Fu, Lan He. Role-play method in teaching history taking skills of internal medicine residents. Chinese Journal of Graduate Medical Education.2020. 4(06): 506-509+518.\u003c/li\u003e\n\u003cli\u003eYung LM, Nikolic I, Paskin-Flerlage SD, Pearsall RS, Kumar R, Yu PB. A Selective Transforming Growth Factor-\u0026beta; Ligand Trap Attenuates Pulmonary Hypertension. \u003cem\u003eAm J Respir Crit Care Med\u003c/em\u003e. 2016;194:1140-1151.\u003c/li\u003e\n\u003cli\u003eKeifenheim KE, Petzold ER, Junne F, Erschens RS, Speiser N, Herrmann-Werner A, Zipfel S, Teufel M. Peer-Assisted History-Taking Groups: A Subjective Assessment of their Impact Upon Medical Students\u0026apos; Interview Skills. \u003cem\u003eGMS J Med Educ\u003c/em\u003e. 2017;34:Doc35.\u003c/li\u003e\n\u003cli\u003eJiao K, Zhen J, Wu M, Teng M, Yang K, Zhou Q, Hu C, Zhou M, Li Y, Li Z. 27-Hydroxycholesterol-induced EndMT acts via STAT3 signaling to promote breast cancer cell migration by altering the tumor microenvironment. \u003cem\u003eCancer Biol Med\u003c/em\u003e. 2020;17:88-100.\u003c/li\u003e\n\u003cli\u003eKapadia MR, White AV, Peters L, Kreiter C, Koch KE, Rosenbaum ME. Teaching Patient-Related Communication to Surgical Residents in Brief Training Sessions. \u003cem\u003eJ Surg Educ\u003c/em\u003e. 2020;77:1496-1502.\u003c/li\u003e\n\u003cli\u003eLiang HY, Tang FI, Wang TF, Yu S. Evaluation of Nurse Practitioners\u0026apos; Professional Competence and Comparison of Assessments Using Multiple Methods: Self-Assessment, Peer Assessment, and Supervisor Assessment. \u003cem\u003eAsian Nurs Res (Korean Soc Nurs Sci)\u003c/em\u003e. 2021;15:30-36.\u003c/li\u003e\n\u003cli\u003eSavarese G, Lund LH. Global Public Health Burden of Heart Failure. \u003cem\u003eCard Fail Rev\u003c/em\u003e. 2017;3:7-11.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Table 4 ","content":"\u003cp\u003eTable 4 is available in the Supplementary Files section.\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-medical-education","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"meed","sideBox":"Learn more about [BMC Medical Education](http://bmcmededuc.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/meed/default.aspx","title":"BMC Medical Education","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"history taking, role play, teacher standardized patients, medical students","lastPublishedDoi":"10.21203/rs.3.rs-4317937/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4317937/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eOBJECTIVE\u003c/h2\u003e \u003cp\u003eThis study aimed to compare the differences between the teaching models of teacher standardized patient (TSP) and peer role play (pRP) in training students\u0026rsquo; history-taking skills and to further analyze the differences between scripted and non-scripted pRP.\u003c/p\u003e\u003ch2\u003eMETHODS\u003c/h2\u003e \u003cp\u003eFrom May to June 2023, 630 undergraduate third-year medical students majoring in clinical medicine participated in the study. Students were randomly divided into either the TSP or pRP group (both scripted pRP (spRP) and non-scripted pRP (non-spRP)). All groups participated in the same half-hour theory lecture before practicing history taking. After class, we analyzed students\u0026rsquo; course behavior and recorded their writing performance and patient history-taking scores when consulting with real patients. Students\u0026rsquo; satisfaction with the course was analyzed through a questionnaire. Pre- and post-course self-assessment forms enabled understanding of students\u0026rsquo; cognition and self-perceived confidence in their interview skills.\u003c/p\u003e\u003ch2\u003eRESULTS\u003c/h2\u003e \u003cp\u003eThere were statistically significant differences in the scores of the TSP, spRP, and non-spRP groups in group-based consultation assessment (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), whereas there were no statistically significant differences in the scores of medical record writing (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). The mean scores of students' overall attitudinal evaluation of the course had no statistically significant differences (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). The mean scores of students' attitudes toward clinical skills development had no statistically significant differences (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05); the mean scores of students' attitudes towards teamwork had a statistically significant difference (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). The pre-simulation self-assessment of all three groups was higher than their post-simulation elf-assessment, and the differences were statistically significant (all p\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e\u003ch2\u003eCONCLUSION\u003c/h2\u003e \u003cp\u003eRP is more suitable for a history-taking practical course for junior students, which can mobilize the classroom atmosphere, increase students' interest and motivation, and develop students' sense of teamwork; spRP\u0026rsquo;s performance on the interrogation skills test was higher. Students' self-confidence and attention to the course had an impact on their self-assessment evaluation.\u003c/p\u003e","manuscriptTitle":"Comparison of Assessment by Teacher Standard Patients and Peer Role Play of Medical Students’ History-Taking Skills","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-05-09 09:34:36","doi":"10.21203/rs.3.rs-4317937/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvited","content":"","date":"2024-05-03T10:56:27+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-05-03T10:53:17+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Medical Education","date":"2024-04-24T11:38:20+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-medical-education","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"meed","sideBox":"Learn more about [BMC Medical Education](http://bmcmededuc.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/meed/default.aspx","title":"BMC Medical Education","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a5c9305b-fc19-4fa1-a5df-aa8b78e2dbce","owner":[],"postedDate":"May 9th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-10-06T16:04:43+00:00","versionOfRecord":{"articleIdentity":"rs-4317937","link":"https://doi.org/10.1186/s12909-025-07758-8","journal":{"identity":"bmc-medical-education","isVorOnly":false,"title":"BMC Medical Education"},"publishedOn":"2025-10-02 15:58:15","publishedOnDateReadable":"October 2nd, 2025"},"versionCreatedAt":"2024-05-09 09:34:36","video":"","vorDoi":"10.1186/s12909-025-07758-8","vorDoiUrl":"https://doi.org/10.1186/s12909-025-07758-8","workflowStages":[]},"version":"v1","identity":"rs-4317937","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4317937","identity":"rs-4317937","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}