Full text
37,360 characters
· extracted from
preprint-html
· click to expand
Designing Interprofessional Education in Mechanical Ventilation: A Study of Learning Needs and Gaps | medRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (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];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-P4HH5NV'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search Designing Interprofessional Education in Mechanical Ventilation: A Study of Learning Needs and Gaps View ORCID Profile Hiroshi Tajima , Hajime Kasai , View ORCID Profile Kenichiro Takeda , Takao Utsumi , Yutaka Furukawa , Izumi Usui , Takuji Suzuki , Ikuko Sakai , Shoichi Ito doi: https://doi.org/10.1101/2025.09.14.25335731 Hiroshi Tajima 1 Department of Medical Education, Graduate School of Medicine, Chiba University , Chiba, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Hiroshi Tajima For correspondence: htajima{at}chiba-u.jp Hajime Kasai 1 Department of Medical Education, Graduate School of Medicine, Chiba University , Chiba, Japan 2 Health Professional Development Centre, Chiba University Hospital , Chiba, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Kenichiro Takeda 3 Department of Respirology, Graduate School of Medicine, Chiba University , Chiba, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Kenichiro Takeda Takao Utsumi 4 Practical Pharmacy, Graduate School and Faculty of Pharmaceutical Science, Chiba University , Chiba, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Yutaka Furukawa 5 Department of Clinical Engineering Centre, Chiba University Hospital , Chiba, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Izumi Usui 2 Health Professional Development Centre, Chiba University Hospital , Chiba, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Takuji Suzuki 3 Department of Respirology, Graduate School of Medicine, Chiba University , Chiba, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Ikuko Sakai 2 Health Professional Development Centre, Chiba University Hospital , Chiba, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Shoichi Ito 1 Department of Medical Education, Graduate School of Medicine, Chiba University , Chiba, Japan 2 Health Professional Development Centre, Chiba University Hospital , Chiba, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Abstract Full Text Info/History Metrics Data/Code Preview PDF Abstract Mechanical ventilation (MV) management is a complex clinical strategy that requires interdisciplinary collaboration. The aim of this study was to evaluate the status of MV-related learning, educational needs, perceived facilitators, and barriers across multiple healthcare professions in a university hospital. A cross-sectional survey was conducted among medical doctors, nurses, clinical engineers, pharmacists, and physical therapists. The quantitative items evaluated prior experience, understanding of terminology, confidence, motivation, and preferred learning formats. Free-text responses were analysed to identify common and profession-specific learning factors. In total, 119 professionals completed the survey. Most participants had MV-related clinical experience (80.6%) and prior education (84.0%) primarily through on-the-job training and in-person lectures. Clinical experience was positively associated with higher motivation to learn (mean 4.1 vs. 3.2, p 4.0, across 28 items), especially in foundational knowledge, clinical decision-making, and interprofessional collaboration. Preferences for learning formats varied by profession: medical doctors and clinical engineers tended to favour simulation-based learning, whereas pharmacists and physical therapists showed a preference for asynchronous on-demand formats. Content analysis demonstrated five common facilitators: experiential learning opportunities, favourable workplace conditions, access to structured educational resources, intrinsic motivation, and organisational support. Conversely, barriers showed profession-specific patterns; excessive workload was frequently reported by nurses and physical therapists (p = 0.01), while pharmacists cited low motivation more commonly (p = 0.02). Given shared facilitators and distinct profession-specific barriers, MV education should adopt a hybrid instructional model that integrates a common interprofessional core with targeted modules tailored to each discipline’s clinical roles and learning preferences. This approach may enhance learner engagement, facilitate the practical application of MV knowledge, and strengthen interdisciplinary collaboration, thereby contributing to pandemic preparedness and improved patient outcomes. Introduction Mechanical ventilators (MVs) are life-sustaining medical devices designed to supplement or replace pulmonary function [ 1 ]. They play critical roles in supporting ventilation and delivering oxygen in diverse clinical situations, such as severe respiratory failure, trauma, and postoperative care [ 2 ]. Effective MV management requires multidisciplinary knowledge and skills, including respiratory physiology, initiation and weaning protocols, device operation, and interprofessional communication across numerous clinical roles [ 3 ]. The Coronavirus disease 2019 (COVID-19) pandemic, which emerged in late 2019, has led to a dramatic surge in patients with pneumonia-induced respiratory failure requiring mechanical ventilation [ 4 ]. Healthcare systems are overwhelming globally [ 5 ], and many healthcare workers, including those without formal intensive care training, are pressed into frontline role [ 6 ]. Given the recurring nature of global respiratory outbreaks (e.g. severe acute respiratory syndrome [SARS] in 2002 and Middle East Respiratory Syndrome [MERS] in 2012) [ 7 ], the ability to rapidly mobilise interprofessional teams equipped with MV competencies is crucial for maintaining healthcare system resilience in future pandemics [ 8 ]. However, MV education remains fragmented and insufficiently formalised. MV education lacks standardisation and relies heavily on institutional discretion and individual mentorship. Previous studies have underscored the widespread uncertainty regarding learners’ preparedness for MV and the lack of consensus on optimal teaching and assessment methods [ 9 ]. Learners often report low satisfaction because of time constraints and the absence of clear learning goals [ 10 ]. These challenges underscore the urgent need to establish structured and inclusive MV education programs. Moreover, MV management is inherently interprofessional and requires collaboration among many kinds of professionals [ 11 – 13 ]. When conducting interprofessional collaborative practice, interprofessional competency frameworks emphasise core domains such as role contribution, relationship facilitation, reflection, and understanding others [ 14 ] [ 15 ]. However, the educational needs and barriers specific to each profession including shared challenges across roles remain underexplored in the context of MV education. To develop structured and inclusive MV education programs, it is essential to understand current learning conditions, profession-specific needs, and shared challenges among healthcare professionals. Specifically, this study addresses the following research questions: 1) How do the learning status and motivation for MV management differ among healthcare professionals, and what commonalities exist across them? and 2) What are the characteristics of profession-specific learning needs and shared educational priorities across all professions? 3) What facilitating and inhibiting factors affect MV-related learning, and how do they vary or align across different professional roles? By clarifying both common ground and profession-specific distinctions, this study aims to inform the design of practical and sustainable interprofessional education (IPE) programs that contribute to pandemic preparedness and long-term team capacity building. Materials and Methods 1. Participants All healthcare professionals working at Chiba University Hospital during the survey period were invited to participate. There were no restrictions based on profession during the recruitment process, and those who completed the full questionnaire were included in the analysis. Incomplete responses and those from individuals not engaged in patient care were excluded. 2. Questionnaire Survey Content We conducted a cross-sectional online survey between October 1st and December 28th, 2024, using Google Forms® to assess the MV learning status, needs, and perceptions of healthcare professionals at Chiba University Hospital. Table 1 outlines the questionnaire items that addressed the participants’ characteristics (age, sex, and years since licensure; Q1–Q3), prior learning opportunities, understanding of MV-related terminology, and clinical experience (Q4–Q6). Items also evaluated self-reported confidence in MV management and motivation to learn (Q7–Q8) as well as preferences regarding educational formats and interest in specific learning content (Q9–Q11). Finally, the open-ended questions explored the perceived facilitators and barriers to MV-related learning (Q12 and Q13). The questionnaire was developed based on a review of the existing literature on MV education and interprofessional learning needs [ 16 – 18 ]. To ascertain content validity and alignment with clinical realities, item selection and wording were refined through iterative consensus-building discussions among faculty members involved in professional health education. View this table: View inline View popup Download powerpoint Table 1. Questionnaire content, answer format, and options 3. Statistical Analysis Continuous variables were presented as means and ranges, and categorical variables as frequencies and percentages. Wilcoxon rank-sum and chi-square tests were used to compare groups, with significance set at p < 0.05. The open-ended responses were analysed using content analysis. Coding was conducted independently by two researchers and finalised through consensus. JMP Pro 18.1.1 (JMP Statistical Discovery LLC., Cary, NC, USA) was used for the statistical analysis. 4. Ethical Considerations This study used personal data from health care professionals and was approved by the Ethics Committee of Chiba University Graduate School of Medicine (approval no. M10760). Written informed consent was obtained from all participants. All data were anonymised, and privacy was protected according to Japan’s data protection laws. Results 1. Participant Characteristics Table 2 shows participants characteristics. A total of 119 healthcare professionals responded to the survey, including nurses (n=50, 42.0%), medical doctors (n=43, 36.1%), clinical engineers (n=14, 11.8%), pharmacists (n=8, 6.7%), and physical therapists (n=4, 3.4%). The most represented age group was individuals in their 30s (40.3%), with a mean of 11.7 ± 8.3 years since licensure. Overall, 80.6% reported clinical experience with MV, and 84.0% had prior educational exposure, primarily through on-the-job training (67.2%) and in-person lectures (47.9%). View this table: View inline View popup Download powerpoint Table 2. Responses to the questionnaire regarding participants’ background and current learning status The self-rated understanding of MV-related terminology was generally higher among medical doctors, clinical engineers, and physical therapists. Significant differences (p<0.01) were identified across professions in self-rated understanding of MV terminology, primarily driven by lower scores among pharmacists. Except for the item ‘Respiratory Support Team’, participants with clinical experience in MV showed significantly greater understanding of all terminology items. The average confidence level in managing MV was modest (2.4 ± 1.3 on a 5-point scale), while motivation to participate in MV education was relatively high (3.9 ± 1.1). Participants with clinical experience in MV reported significantly higher motivation compared to those without such experience (4.1 ± 1.0 vs. 3.2 ± 1.0, p < 0.01). Furthermore, the number of years since licensure showed a significant negative correlation with motivation (p = 0.01). Regarding preferred learning modalities, simulation-based education was the most favoured format (61.3%), followed by bedside teaching and on-demand sessions (52.9%). Profession-based trends were observed; medical doctors and clinical engineers revealed a stronger preference for simulations, whereas pharmacists and physical therapists preferred on-demand learning. 2. Educational Needs As summarised in Table 3 , the mean score for all 28 learning items exceeded 4.0 on a 5-point scale, indicating consistently high interest across all domains, including foundational knowledge, initiation, clinical management, ventilator weaning, and interprofessional collaboration. View this table: View inline View popup Download powerpoint Table 3. Self-rated willingness to learn for 28 key items related to mechanical ventilation (1: Not at all willing – 5: Very willing) Although learning needs were uniformly high, profession-based differences emerged in specific domains. Notable variation was observed in areas such as equipment preparation (e.g. ‘Able to prepare the necessary equipment and accessories for initiating mechanical ventilation’, p<0.01), alarm management (e.g. ‘Able to identify the cause of ventilator alarms’, p<0.01), reintubation risk assessment (e.g. ‘Able to assess the risk of reintubation in patients’, p<0.01), and prevention of complications (e.g. ‘Able to implement measures to prevent complications of mechanical ventilation’, p<0.05). Conversely, no significant differences were found between the professions in terms of foundational knowledge or collaboration, indicating shared baseline educational priorities. 3. Facilitators and Barriers As shown in Table 4 , the content analysis of free-text responses identified five primary facilitators of MV learning: (1) opportunities for experiential learning (especially bedside involvement), (2) workplace conditions enabling learning, (3) access to structured educational resources (e.g. in-house seminars and e-learning), (4) intrinsic motivation and perceived relevance, and (5) organisational support and supervisory guidance. These facilitators were commonly cited across all professional groups, and no statistically significant differences were observed between the professions. View this table: View inline View popup Download powerpoint Table 4. Facilitators and barriers to learning mechanical ventilation Barriers to learning were also prominent, including excessive workload, time constraints, insufficient clinical exposure to ventilated patients, low individual motivation, limited access to training opportunities, and inadequate supervision or feedback. Table 5 presents the profession-wise distribution of learning facilitators and barriers. Workload-related challenges demonstrated significant variation across professions (p = 0.01), with notably high proportions among physical therapists (4 out of 4, 100%) and nurses (27 out of 50, 54.0%). Similarly, lack of motivation as a barrier differed significantly across the groups (p = 0.02), with pharmacists reporting the highest frequency (3 out of 8, 37.5%). View this table: View inline View popup Download powerpoint Table 5. Facilitators and barriers to mechanical ventilation education by professional category Discussion This study identified both common and profession-specific learning needs in MV management, providing clear direction for the development of effective IPE programs aimed at enhancing preparedness for future health emergencies. Our findings underscore both shared and profession-specific aspects of MV education, offering practical guidance for developing structured team-based educational programs. The consistently high motivation and educational interest across all professional groups indicate a strong collective awareness of the importance of MV competencies. This aligns with the core premise of IPE, which emphasises the development of collaborative competencies through shared learning experiences [ 19 ]. The relatively high motivation observed among those with clinical experience in MV indicates that experiential exposure reinforces the perceived relevance and urgency of MV-related knowledge, a concept consistent with the adult learning theory and experiential learning frameworks [ 20 ] [ 21 ]. Our findings revealed significant profession-based differences in baseline understanding and preferred learning formats. Simulation-based training aligns with strong evidence that it significantly improves MV-related procedural skills, confidence, and knowledge retention among trainees [ 22 ] [ 23 ]. This may partly explain the preferences observed among medical doctors and clinical engineers who frequently engage in ventilator operations and acute decision-making. Conversely, pharmacists and physical therapists, roles that typically do not involve direct ventilator operations or emergent clinical decision-making, may prefer on-demand asynchronous e-learning formats. This preference is consistent with the finding that pharmacists value flexible, self-paced learning in continuing education contexts [ 24 ]. Similarly, in physiotherapy education, digitally enhanced or asynchronous learning modalities are increasingly being welcomed owing to their practical accessibility, cost-effectiveness, and ability to support self-directed engagement [ 25 ]. Hence, we propose a two-tiered instructional model that integrates a common core curriculum focusing on shared foundational knowledge and interprofessional collaboration with profession-specific modules tailored to each discipline’s unique clinical roles and learning preferences [ 26 ] [ 27 ]. For example, simulation-based scenarios could be emphasised for medical doctors and clinical engineers, whereas pharmacists and physical therapists could benefit from asynchronous e-learning modules that underscore pharmacological considerations or ventilator-related rehabilitation strategies. Importantly, several barriers to learning that disproportionately affected certain professions were identified. For example, physical therapists and nurses frequently cited workload as a barrier, whereas pharmacists reported low motivation. Although subgroup sizes were limited in some cases, these findings suggest profession-specific patterns in perceived barriers. These findings highlight the need for organisational strategies to reduce learning-related burdens and foster a culture that values continuous interprofessional development [ 28 ]. The proposed model aligns with the principles of high-functioning healthcare teams, including role clarity, mutual support, and situational awareness. These principles are central to Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS ™ ), which emphasise structured communication and interprofessional collaboration [ 29 ]. Our qualitative findings support these principles: participants emphasised the importance of workplace conditions, organisational support, and structured educational opportunities, factors known to enhance interprofessional team performance [ 30 ] [ 31 ]. Limitations This single-centre survey may have limited the generalisability of the results. Regional and institutional factors may also affect applicability. The study evaluated perceptions rather than competencies, and the respondents were likely to include a higher proportion of experienced personnel. The free-text analysis was limited by variations in response details, and qualitative interviews may have provided richer insights. Conclusion This study highlights the strong shared motivation among healthcare professionals to engage in MV education alongside distinct profession-specific learning needs. While foundational knowledge and inter-professional collaboration are commonly valued, priorities and barriers vary across roles. These findings support the development of IPE programs that combine a shared core curriculum with tailored modules to address discipline-specific competencies. To enhance individual expertise and team-based readiness, future efforts should emphasise on context-sensitive, team-oriented educational strategies supported by longitudinal evaluations to assess their impact on practice and patient outcomes. Data Availability All relevant data will be available from the Dryad Digital Repository upon acceptance. Conflict of Interest Statement The authors declare no conflicts of interest related to this study. Acknowledgements This work was supported by JSPS KAKENHI (grant number 24K13283). Footnotes Author Contributions: H.T. contributed to the conception and design of the study, data acquisition, analysis, interpretation, and drafting of the manuscript. H.K. and I.S. contributed to the study design, data acquisition and interpretation, and manuscript writing. K.T., T.U., Y.F., and I.U. assisted with the study design, data acquisition, and manuscript preparation. T.S. and S.I. contributed to the study design, supported data interpretation, and supervised the entire study. All authors read and approved the final manuscript. This work was supported by JSPS KAKENHI Grant Number 24K13283. References 1. ↵ Pham T , Brochard LJ , Slutsky AS . Mechanical ventilation: state of the art . Mayo Clin Proc . 2017 ; 92 : 1382 – 1400 . doi: 10.1016/j.mayocp.2017.05.004 . OpenUrl CrossRef PubMed 2. ↵ Rubulotta F , Blanch Torra L , Naidoo KD , Aboumarie HS , Mathivha LR , Asiri AY , et al. Mechanical ventilation, past, present, and future . Anesth Analg . 2024 ; 138 : 308 – 325 . doi: 10.1213/ANE.0000000000006701 . OpenUrl CrossRef PubMed 3. ↵ Chatburn RL , El-Khatib M , Mireles-Cabodevila E. A taxonomy for mechanical ventilation: 10 fundamental maxims . Respir Care . 2014 ; 59 : 1747 – 1763 . doi: 10.4187/respcare.03057 . OpenUrl Abstract / FREE Full Text 4. ↵ Helmy YA , Fawzy M , Elaswad A , Sobieh A , Kenney SP , Shehata AA . The COVID-19 pandemic: A comprehensive review of taxonomy, genetics, epidemiology, diagnosis, treatment, and control . J Clin Med . 2020 ; 9 : 1225 . doi: 10.3390/jcm9041225 . OpenUrl CrossRef PubMed 5. ↵ Ahmed H , Allaf M , Elghazaly H. COVID-19 and medical education . Lancet Infect Dis . 2020 ; 20 : 777 – 778 . doi: 10.1016/S1473-3099(20)30226-7 . OpenUrl CrossRef PubMed 6. ↵ Perraud F , Ecarnot F , Loiseau M , Laurent A , Fournier A , Lheureux F , et al. A qualitative study of reinforcement workers’ perceptions and experiences of working in intensive care during the COVID-19 pandemic: a PsyCOVID-ICU substudy . PLOS One . 2022 ; 17 : e0264287 . doi: 10.1371/journal.pone.0264287 . OpenUrl CrossRef PubMed 7. ↵ Alsafi RT . Lessons from SARS-CoV, MERS-CoV, and SARS-CoV-2 infections: what we know so far . Can J Infect Dis Med Microbiol . 2022 ; 2022 : 1156273 . doi: 10.1155/2022/1156273 . OpenUrl CrossRef PubMed 8. ↵ Kho ME , Reid JC . Implications of the COVID-19 pandemic for the well-being of the ICU workforce considerations for the ICU interprofessional team . Chest . 2022 ; 162 : 285 – 287 . doi: 10.1016/j.chest.2022.06.009 . OpenUrl CrossRef PubMed 9. ↵ Keller JM , Claar D , Ferreira JC , Chu DC , Hossain T , Carlos WG , et al. Mechanical ventilation training during graduate medical education: perspectives and review of the literature . J Grad Med Educ . 2019 ; 11 : 389 – 401 . doi: 10.4300/JGME-D-18-00828.1 . OpenUrl CrossRef PubMed 10. ↵ Cox CE , Carson SS , Ely EW , Govert JA , Garrett JM , Brower RG , et al. Effectiveness of medical resident education in mechanical ventilation . Am J Respir Crit Care Med . 2003 ; 167 : 32 – 38 . doi: 10.1164/rccm.200206-624OC . OpenUrl CrossRef PubMed Web of Science 11. ↵ White V , Currey J , Botti M. Multidisciplinary team developed and implemented protocols to assist mechanical ventilation weaning: a systematic review of literature . Worldviews Evid Based Nurs . 2011 ; 8 : 51 – 59 . doi: 10.1111/j.1741-6787.2010.00198.x . OpenUrl CrossRef PubMed 12. Donovan AL , Aldrich JM , Gross AK , Barchas DM , Thornton KC , Schell-Chaple HM , et al. Interprofessional care and teamwork in the ICU . Crit Care Med . 2018 ; 46 : 980 – 990 . doi: 10.1097/CCM.0000000000003067 . OpenUrl CrossRef PubMed 13. ↵ Black CJ , Kuper M , Bellingan GJ , Batson S , Matejowsky C , Howell DCJ . A multidisciplinary team approach to weaning from prolonged mechanical ventilation . Br J Hosp Med (Lond) . 2012 ; 73 : 462 – 466 . doi: 10.12968/hmed.2012.73.8.462 . OpenUrl CrossRef PubMed 14. ↵ WHO . Framework for action on interprofessional education & collaborative practice, health professions networks nursing & midwifery human resources for health ; 2010 . 15. ↵ Interprofessional Competency Development Team . Interprofessional competencies for the health, medical, and welfare fields in Japan . [Cited February 3, 2025 ]. Available from: https://www.hosp.tsukuba.ac.jp/mirai_iryo/pdf/Interprofessional_Competency_in_Japan_ver15.pdf . 16. ↵ Farmer MJS , Kleppel R. Getting to know you: implementing an interprofessional education program for medical and respiratory therapy students in mechanical ventilation - challenges and lessons learned . J Interprof Care . 2022 ; 36 : 706 – 715 . doi: 10.1080/13561820.2021.1982883 . OpenUrl CrossRef PubMed 17. Mehrzai P , Höfeler T , Ebenebe CU , Moll-Khosrawi P , Demirakça S , Vettorazzi E , et al. Pilot study of an interprofessional pediatric mechanical ventilation educational initiative in two intensive care units . BMC Med Educ . 2023 ; 23 : 610 . doi: 10.1186/s12909-023-04599-1 . OpenUrl CrossRef PubMed 18. ↵ Takeda K , Kasai H , Tajima H , Furukawa Y , Imaeda T , Suzuki T , et al. Mixed-methods education of mechanical ventilation for residents in the era of the COVID-19 pandemic: preliminary interventional study . PLOS One . 2023 ; 18 : e0287925 . doi: 10.1371/journal.pone.0287925 . OpenUrl CrossRef PubMed 19. ↵ Saragih ID , Hsiao CT , Fann WC , Hsu CM , Saragih IS , Lee BO . Impacts of interprofessional education on collaborative practice of healthcare professionals: a systematic review and metaanalysis . Nurse Educ Today . 2024 ; 136 : 106136 . doi: 10.1016/j.nedt.2024.106136 . OpenUrl CrossRef PubMed 20. ↵ Taylor DCM , Hamdy H. Adult learning theories: implications for learning and teaching in medical education: AMEE Guide No. 83 . Med Teach . 2013 ; 35 : e1561 – e1572 . doi: 10.3109/0142159X.2013.828153 . OpenUrl CrossRef PubMed 21. ↵ Kusurkar RA , ten Cate TJ , Vos CM , Westers P , Croiset G. How motivation affects academic performance: a structural equation modelling analysis . Adv Health Sci Educ Theory Pract . 2013 ; 18 : 57 – 69 . doi: 10.1007/s10459-012-9354-3 . OpenUrl CrossRef PubMed 22. ↵ Schroedl CJ , Frogameni A , Barsuk JH , Cohen ER , Sivarajan L , Wayne DB . Impact of simulationbased mastery learning on resident skill managing mechanical ventilators . ATS Sch . 2020 ; 2 : 34 – 48 . doi: 10.34197/ats-scholar.2020-0023OC . OpenUrl CrossRef PubMed 23. ↵ Vitale KM , Barsuk JH , Cohen ER , Wayne DB , Hansen RN , Williams LM , et al. Simulationbased mastery learning improves critical care skills of advanced practice providers . ATS Sch . 2023 ; 4 : 48 – 60 . doi: 10.34197/ats-scholar.2022-0065OC . doi:10.34197/ats-scholar.2022-0065OC.24). OpenUrl CrossRef PubMed 24. ↵ Lorenzoni AA , Buendgens FB , Manzini F , Rech N , Leite SN . A comprehensive understanding of the use of e-learning in continuing education: experiences of pharmacists in a public health system . Inquiry . 2021 ; 58 : 469580211059977 . doi: 10.1177/00469580211059977 . OpenUrl CrossRef PubMed 25. ↵ Ødegaard NB , Myrhaug HT , Dahl-Michelsen T , Røe Y. Digital learning designs in physiotherapy education: a systematic review and meta-analysis . BMC Med Educ . 2021 ; 21 : 48 . doi: 10.1186/s12909-020-02483-w . OpenUrl CrossRef PubMed 26. ↵ Guraya SY , Barr H. The effectiveness of interprofessional education in healthcare: a systematic review and meta-analysis . Kaohsiung J Med Sci . 2018 ; 34 : 160 – 165 . doi: 10.1016/j.kjms.2017.12.009 . OpenUrl CrossRef PubMed 27. ↵ Reeves S , Perrier L , Goldman J , Freeth D , Zwarenstein M. Interprofessional education: effects on professional practice and healthcare outcomes (update) . Cochrane Database Syst Rev . 2013 ; 2013 : CD002213 . doi: 10.1002/14651858.CD002213.pub3 . OpenUrl CrossRef 28. ↵ Rawlinson C , Carron T , Cohidon C , Arditi C , Hong QN , Pluye P , et al. An overview of reviews on interprofessional collaboration in primary care: barriers and facilitators . Int J Integr Care . 2021 ; 21 : 32 . doi: 10.5334/ijic.5589 . OpenUrl CrossRef PubMed 29. ↵ Henriksen K , Battles JB , Keyes MA , Grady ML , editors King HB , Battles J , Baker DP , Alonso A , Salas E , Webster J , et al. TeamSTEPPS™: team strategies and tools to enhance performance and patient safety . In: Henriksen K , Battles JB , Keyes MA , Grady ML , editors. Advances in patient safety: new directions and alternative approaches (vol. 3: performance and Tools) . Rockville, Maryland : Agency for Healthcare Research and Quality (US ); 2008 . 30. ↵ Rosen MA , DiazGranados D , Dietz AS , Benishek LE , Thompson D , Pronovost PJ , et al. Teamwork in healthcare: key discoveries enabling safer, high-quality care . Am Psychol . 2018 ; 73 : 433 – 450 . doi: 10.1037/amp0000298 . OpenUrl CrossRef PubMed 31. ↵ Buljac-Samardzic M , Doekhie KD , van Wijngaarden JDH . Interventions to improve team effectiveness within health care: a systematic review of the past decade . Hum Resour Health . 2020 ; 18 : 2 . doi: 10.1186/s12960-019-0411-3 . OpenUrl CrossRef PubMed View the discussion thread. Back to top Previous Next Posted September 15, 2025. Download PDF Data/Code Email Thank you for your interest in spreading the word about medRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. You are going to email the following Designing Interprofessional Education in Mechanical Ventilation: A Study of Learning Needs and Gaps Message Subject (Your Name) has forwarded a page to you from medRxiv Message Body (Your Name) thought you would like to see this page from the medRxiv website. Your Personal Message CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Share Designing Interprofessional Education in Mechanical Ventilation: A Study of Learning Needs and Gaps Hiroshi Tajima , Hajime Kasai , Kenichiro Takeda , Takao Utsumi , Yutaka Furukawa , Izumi Usui , Takuji Suzuki , Ikuko Sakai , Shoichi Ito medRxiv 2025.09.14.25335731; doi: https://doi.org/10.1101/2025.09.14.25335731 Share This Article: Copy Citation Tools Designing Interprofessional Education in Mechanical Ventilation: A Study of Learning Needs and Gaps Hiroshi Tajima , Hajime Kasai , Kenichiro Takeda , Takao Utsumi , Yutaka Furukawa , Izumi Usui , Takuji Suzuki , Ikuko Sakai , Shoichi Ito medRxiv 2025.09.14.25335731; doi: https://doi.org/10.1101/2025.09.14.25335731 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Area Medical Education Subject Areas All Articles Addiction Medicine (568) Allergy and Immunology (863) Anesthesia (300) Cardiovascular Medicine (4436) Dentistry and Oral Medicine (444) Dermatology (382) Emergency Medicine (608) Endocrinology (including Diabetes Mellitus and Metabolic Disease) (1509) Epidemiology (15229) Forensic Medicine (30) Gastroenterology (1124) Genetic and Genomic Medicine (6600) Geriatric Medicine (668) Health Economics (997) Health Informatics (4538) Health Policy (1368) Health Systems and Quality Improvement (1613) Hematology (542) HIV/AIDS (1264) Infectious Diseases (except HIV/AIDS) (15916) Intensive Care and Critical Care Medicine (1103) Medical Education (623) Medical Ethics (146) Nephrology (667) Neurology (6599) Nursing (346) Nutrition (998) Obstetrics and Gynecology (1144) Occupational and Environmental Health (957) Oncology (3333) Ophthalmology (974) Orthopedics (369) Otolaryngology (420) Pain Medicine (436) Palliative Medicine (130) Pathology (663) Pediatrics (1693) Pharmacology and Therapeutics (691) Primary Care Research (711) Psychiatry and Clinical Psychology (5447) Public and Global Health (9232) Radiology and Imaging (2198) Rehabilitation Medicine and Physical Therapy (1370) Respiratory Medicine (1196) Rheumatology (593) Sexual and Reproductive Health (712) Sports Medicine (530) Surgery (712) Toxicology (99) Transplantation (289) Urology (265) (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'a00e3e60393758f4',t:'MTc3OTY0NjA4NQ=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.