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Call for an interprofessional, experiential, performance-based model for health professions education
Call for an interprofessional, experiential, performance-based model for health professions education

Article Type: Essay Article History
Abstract

Medical errors are cited among the leading causes of death in the United States, resulting in devastating consequences for patients and their families, besides adding substantial costs to healthcare. Communication within and between teams is cited as a major contributing factor to patient deaths due to preventable medical errors. Although Universities and Academic Health Centers aim to graduate competent healthcare professionals who are effective healthcare team members, the importance and degree of emphasis given to interprofessional education (IPE) across health professions accreditation organizations is variable. To ensure a highly skilled, efficient and confident health professions workforce, an interprofessional, experiential, performance-based model for health professions education is proposed. This transformational model must be relevant for this high-risk, data-driven and increasingly technological medical era. Finally, it must revolve around patient safety and well-being as patients traverse through the levels of the healthcare system and upon the safety and well-being of professionals providing them care.

Boyers, Misra, Stobbe, Gold, and Davies: Call for an interprofessional, experiential, performance-based model for health professions education

Introduction

Recent studies estimate between 210,000 and 400,000 deaths annually are due to preventable medical errors [1]. These include wrong diagnoses, drug dosage miscalculations, hospital-acquired infections, falls, treatment delays and miscommunication among and between healthcare teams [1]. Due to several factors, these numbers could be underestimated. Patient outcomes are not entirely dependent on individual caregivers [1,2]. Faulty methodologies and inconstancy of reporting errors are identified as a legitimate concern [1]. The annual cost of medical errors to the U.S. economy may reach one trillion dollars a year [2]. Even if they do not result in the actual loss of lives, hospital-related errors can have inestimable, long-lasting and costly effects on individuals, families and society [1]. When it comes to the personal level, one death or permanent injury of a family member is too high a price to pay.

Deaths and injuries due to medical errors are not solely a problem in the United States. According to the World Health Organization (WHO), up to 10% of hospital patients in developed countries may be harmed while receiving care [3]. A study from the United Kingdom reports that 3.6% of hospital deaths were due to preventable medical errors. A study from Norway reported this rate to be 4.2% [4,5]. A meta-analysis published in the British Medical Journal concluded at least 1 in 20 patients is affected by preventable patient harm, with 12% of this group suffering from permanent disability or death [6]. Similar statistics and challenges have been reported in Japan, New Zealand and Australia [7].

In the 21st century, healthcare institutions, accrediting bodies and hospitals have been making significant efforts to improve safety and quality outcomes as avoidable deaths due to medical error have been reported as a national concern, receiving focused attention since the landmark publication by the Institution of Medicine, ‘To Err is Human’ [8]. Hospitals in the United States and around the globe have been implementing various system-based measures, ranging from instituting bar codes for medication dispensing, fall protocols, checklists, chart reviews and ‘no-blame’ reporting mechanisms. Even these efforts are susceptible to breakdowns in systems and processes. Notwithstanding best efforts on the part of healthcare institutions and accrediting bodies, preventable deaths and injuries due to avoidable errors remain highly problematic. Lessons from high-reliability organizations reveal that human factors, such as fatigue and cavalier attitudes, play an important causal role in poor outcomes [912]. Healthcare delivery and patient outcomes are not entirely dependent on individual caregivers. Excellent medical outcomes are linked to receiving care from highly functional, interprofessional teams with mature safety and quality systems in which to practice [9,13,14]. Still, the importance and degree of emphasis on interprofessional team functioning remain variable in health professions accreditation requirements and teaching institutions across the different health professions. Paige et al. identified key challenges or barriers to implementing interprofessional education (IPE). These included lack of leadership or champions, faculty who develop appropriate content, addressing the training needs of the learners, logistical issues, including sufficient space, and beliefs and attitudes towards other healthcare professions. Disagreement can also occur between educators representing different specialties, even within the same profession, regarding developing content that can be used universally, as well as a lack of regional and/or national accreditation bodies for IPE courses that can grant continuing education credits [15]. Hence, as educators interested in advancing IPE, we must collaborate to overcome these challenges in order to ensure health professions graduates enter the workforce sufficiently skilled to function effectively as healthcare team members.

Current model of health professions education

Undergraduate and graduate health professions education curricula in many countries face challenges related to the way healthcare professionals have been trained during the latter years of the 20th century [16]. Traditionally, health professions education has relied upon learning by attending lectures, reading and assessing knowledge acquisition by grading patient care skills acquired during clinical rotations experiences. For the most part, the assessment of readiness to progress remains reliant upon either multiple-choice (MCQ) questions, viva (oral boards), and/or written short or long-answer-type questions [17]. Formative evaluation focuses on the learner’s growth and development in the job or field of study, whereas summative evaluation focuses upon a student’s progress in the training program over time. Both formative and summative assessment methods are necessary for health professions educators, credentialing bodies and future employers to determine the competence levels of newly graduated or mid-career healthcare providers [18]. Health professions students are typically very capable of passing summative assessments and year-end qualifying and certifying examinations. However, the current evaluation systems that assess progress throughout clinical training tend towards a subjective approach when assessing procedural skill development and team functioning [19]. Skill acquisition has posed a special challenge for physician training following the reduction in duty hour requirements [20]. While trainees may be more rested and have a better life balance, they are graduating with less exposure to procedures [20,21]. As a result, the current model of training may not predict readiness to safely care for patients [22].

A challenge for health professions educators in the 21st century is how to accomplish a paradigm shift to adopt an interprofessional, experiential performance-based training model. Such a model would carry over a lifetime of practice and prepare for the stresses of the modern healthcare environment. This paradigm shift would improve the outcome of training as well as assure the public that health science colleges and postgraduate/residency training programs are truly producing and credentialing safe healthcare providers.

A performance-based assessment model

In an effort to ensure safety and quality in training, credentialing organizations in the United States, as well as other countries, have already embedded changes in accreditation training requirements, including the adoption of competency domains and milestones [23,24]. Nevertheless, obtaining objective measures of each student’s skills remains challenging as they progress through training, including postgraduation and beyond. Clinical competence is ‘a journey of a learner from a novice in the field of his/her scope of practice to achieving expertise in their given field’ [25]. Important competency domains such as professionalism, patient care, clinical knowledge, critical thinking, resource management, system-based practice and communication are already identified and included in most health professions’ accreditation requirements [26]. While the professional competency domains are similar, each healthcare discipline uses different nomenclature. A coordinated, reliable and valid performance-based assessment model, one that allows learners to progress at their own pace while also objectively measuring individual procedural proficiencies, communication and interprofessional team skills, has yet to be fully realized [27,28]. Procedural and interprofessional team skills are rarely assessed in a truly structured and objective manner that assures competence [22,29].

Developing a training model that provides a valid, reliable and objective assessment of performance for health professions has proved challenging [27,28,30]. Among the challenges faced when assessing team performance and competencies, Lingard et al. pointed out that individuals in a team can fail to meet defined competency levels, even though the same interdependent team could collectively perform to meet team competency thresholds. Also, for example, teams may demonstrate competency in one clinical scenario but not necessarily in a different scenario [31].

Health professions accrediting bodies emphasize professional attitudes towards patients and colleagues, including communication and teamwork. For example, ACGME (Accreditation Council for Graduate Medical Education) for physicians, CCNE (Commission on Collegiate Nursing Education) and CAAHPE (Commission on Accreditation for Allied Health Professionals Education) are making significant strides in assessing critical thinking and procedural skills for Board Certification and/or Continuing Education [26,32]. Nevertheless, the predominant model of health professions education still does not routinely assess performance in procedural and interprofessional core competencies nor reliably measure the progress of skills acquisition for individuals or teams. Preparedness for practice is an especially important concept for rural healthcare, where consults with clinical subject matter experts are less readily available. During the early stages of the COVID-19 pandemic, the situation was further compounded, with many clinical training sites becoming inaccessible to students for learning purposes [33,34]. Students and trainees in healthcare education experienced limited clinical exposure, including the cessation of elective surgeries, as well as safety concerns related to exposing trainees to the virus [33,35].

Due to potential delays in diagnosis, skill deficiencies and inefficiencies, the current training model can contribute to avoidable medical errors or be perceived as negligence [36]. Thus, a new graduate from the traditional model of training could potentially enter the healthcare system, offering services that are risky for patients. The intent of this call for the adoption of an interprofessional, experiential, performance-based model for health professions education is to ensure that accredited institutions and programs are graduating students who can demonstrate as well-prepared and ready to function at a high level in the intensity and complexities of modern clinical practice.

Role of simulation-based healthcare education

To bridge the gap from classroom to clinical experiences, and with the emergence of advanced simulation and visualization technologies, preparatory clinical experiences can be supplemented during training by using methods that fully engage students and practitioners in realistic, experiential (hands-on) learning scenarios. An interprofessional model that embraces simulation-based healthcare education (SBHE) can fulfill many individual and interprofessional team requirements to achieve meeting accreditation competencies for each healthcare discipline [3739]. Additionally, simulation experiences can offer a wide variety of training, ranging from basic skills, i.e., catheter or tube insertion, to advanced care scenarios, such as managing complex patient emergencies, conducting procedures and rehearsing routine and rare occurrences in authentic, simulated healthcare settings (Figures 1–5) [3740].

Nursing students collaborate on a case-based exercise using an interactive digital wall
Figure 1:

Nursing students collaborate on a case-based exercise using an interactive digital wall

Physician Assistant students managing a patient in a simulated patient scenario
Figure 2:

Physician Assistant students managing a patient in a simulated patient scenario

Student practicing phlebotomy skills using a task trainer
Figure 3:

Student practicing phlebotomy skills using a task trainer

Physicians practicing advanced surgical skills in a simulated operating room
Figure 4:

Physicians practicing advanced surgical skills in a simulated operating room

A nursing student exploring a crash cart in a virtual reality immersive 3D CAVE
Figure 5:

A nursing student exploring a crash cart in a virtual reality immersive 3D CAVE

Many studies support that the incorporation of simulation-based training of intra- and interprofessional healthcare teams results in better clinical care and patient outcomes [4147]. One recent study, for example, demonstrated a significant reduction in medication errors in intensive care units due to simulation-based IPE [48]. Another study and meta-analysis of randomized controlled trials on interprofessional simulation-based training demonstrated improvement in patient-centric approach to care, collaborative teamwork, communication and professional identity among healthcare students [49,50].

Gaps in the summative and formative evaluation model for graduates can be identified and addressed through the SBME approach [5153], especially one that emphasizes interprofessional concepts and implements experiential learning. A model that first teaches ‘hands-on’ skills and then offers opportunities to practice until proficiency can be deployed prior to routinely assess and document formative skills development, as well as demonstrate readiness for unsupervised clinical practice (summative). An interprofessional, experiential training approach, which adopts interactive and ‘hands-on’ learning methods using simulation, provides a framework for implementing a shared health professions performance-based training model that still allows for individuality within each discipline. Such an approach assures a focus on IPE and team skills development, confidence building and clinical collaboration. This model will greatly help meet public expectations related to receiving high-quality and safe patient care outcomes.

An experiential, interprofessional, performance-based model: a paradigm shift

Health professions educators who supervise trainees in clinical settings will always provide an important safety net for all learners and patients who traverse the healthcare system. However, due to advances in simulation technology, learners can now achieve a defined level of performance without the need to practice on patients. The shift to an interprofessional, experiential, performance-based model is admittedly complex. This approach should use the principles of deliberate practice and mastery learning and include routine assessment of training milestones to ensure readiness for unsupervised medical practice and board certification, hospital privileges or state licensing [5459].

For successful deployment, this paradigm shift demands purposeful collaboration amongst the healthcare disciplines but also requires the adoption by faculty of different teaching styles and assessment methods. For example, pre-briefing, debriefing and facilitation of simulation activities call for very different teaching skills than delivering knowledge by a lecture with PowerPoint, creating e-learning modules and mentoring learners on rounds [38]. In fact, many lectures can be converted to case-based simulation scenarios during which individual and team competencies can be taught and practiced. Large classes can be divided into small groups for enhanced interactive learning, and clear, measurable objectives can be created to achieve defined educational outcomes. Immersive learning experiences in realistic, replicated healthcare settings can also be successfully used for competency testing and high-stakes examinations, such as licensing examinations for physicians to ensure that they provide competent and safe patient care [9,13,14,18,49].

An interprofessional, experiential, performance-based model for healthcare professionals should be designed to improve objectivity in assessing individual and team performance. This includes starting with the development of an interprofessional and shared team performance domain model that focuses on the ‘hand-off’ from one level of care to the next, where patients are most vulnerable [60,61].

Based upon the concerns identified by Paige et al. [15], and in order to improve patient safety outcomes, we propose a bold and transformative approach to healthcare professions education (Table 1). Adoption of this approach clearly requires the full engagement of institution leadership to accelerate the adoption of an interprofessional, experiential and performance-based model of education. The implication is that funding is required to provide safe and shared simulated environments in which to collaborate interprofessionally. Other compelling reasons for the investment in an interprofessional (IPE) approach to training include the changing learning styles of a new generation of digital learners, a venue to test and try new clinical processes and procedures, stimulate new research opportunities – especially in the human performance sciences, as well as help address the challenges of recruitment and retention of students and healthcare professionals.

Table 1:
Solutions to common challenges when creating an IPE program: an interprofessional, experiential, performance-based approach
An interprofessional, experiential, performance-based approach to advancing IPE (iEXCEL)
Challenges iEXCEL solutions
Leadership • Elicit strong leadership support from academic, community and clinical leaders – with patient safety, as well as healthcare professional wellness and safety – as driving factors.
Culture • Ensure Deans and key administrators understand and ‘buy-in’ to the value of IPE as it relates to patient and staff safety.
• Establish IPE as an institutional priority and highly valued educational experience by providing experiential, interprofessional activities.
• Foster innovation in the learning and teaching environments.
• Nurture and support student IPE, interest groups.
• Include DEI and ‘wellness’ as key cultural necessities.
Logistical • Creates shared interprofessional space where no one discipline ‘owns’ the space. The ideal space is a shared simulation centre with advanced technology so that students can learn to work in teams through simulated (real-life) activities.
• Provide support to faculty as they adopt experiential learning using simulation and visualization.
Curriculum • Develop an interdisciplinary IPE curriculum committee, with the role of chair – or co-chairs, rotating between healthcare disciplines.
• Select faculty based on their passion for patient safety and innovative spirit.
• Move to a small group IPE model.
• Measure and assess the impact of IPE activities and elicit open feedback that gets shared with the curriculum committee.
• Include students and listen carefully to their input.
• Incorporate independent learning opportunities.
• Count IPE experiences that are not embedded in the IPE ‘curriculum proper’ – as long as they meet predetermined criteria.
• IPE curriculum should be longitudinal and for all levels of learning.
Use of New Technologies • Introduce new educational technologies and software, especially simulation and visualization.
• Consider shared investments in technologies, such as interactive digital walls.
• Use a case-based approach to experiential and interactive learning.
• Consider the needs of students working remotely. They, too, can be assigned to interprofessional groups and given projects.
Faculty Engagement • Recognize and reward faculty and support staff who promote and support IPE and the activities and are recognized by students.
• Identify IPE Awards – for curriculum innovation in IPE.
• Provide seed funding to support IPE projects and outcome studies.
• Encourage and help create an ‘Academy of Interprofessional Educators’ or similar groups to foster collaboration between faculty.
• Foster innovation in educational and human factors research.

While adopting an interprofessional and experiential approach to health professions education can provide the public with extra assurance that each trainee meets defined professional, procedural and team competencies, achieving a paradigm shift to a true interprofessional, experiential performance-based model can be challenging. This requires total ‘buy-in’ from institutional leaders, as well as commitment from the College Deans. Ideally, this requires creating shared experiential learning and simulation spaces that can accommodate team training. While the latter recommendation at first seems costly, there are, in fact, great efficiencies to be found when sharing space and simulation equipment, as well as being cost-effective related to embracing advanced technologies and software.

To be successful, a major paradigm shift in the education of health professionals must overtly, at its very core, address the safety and quality of care through the transitions from novice learner to mastery of skills for each specific discipline. The goal is to graduate healthcare professionals who are safe to diagnose, formulate care plans, function effectively in teams and practice proficiently in their professional arena, as discussed in this essay. Future clinicians must be both confident and competent in all defined core competencies and, especially, in safely conducting procedures that are required to practice within a specific discipline and functioning in highly effective healthcare teams.

Declarations

Acknowledgements

We acknowledge Priscila Rodrigues Armijo, MD, for her work as a contributing editor who critically revised the manuscript for intellectual content.

Authors’ contributions

None.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

Availability of data and materials

None.

Ethical approval and consent to participate

Not applicable.

Competing interests

The authors have no competing interests to declare relevant to this article’s content.

References

1. 

Makary MA, Daniel M. Medical error—the third leading cause of death in the U.S. BMJ. 2016;353:i2139.

2. 

Andel C, Davidow SL, Hollander M, Moreno DA. The economics of health care quality and medical errors. Journal of Health Care Finance. 2012;39(1):3950.

3. 

Photo story: 10 facts on patient safety 2019 [cited 2023 Jun 14]. Available from: https://www.who.int/news-room/photo-story/photo-story-detail/10-facts-on-patient-safety.

4. 

Hogan H, Zipfel R, Neuburger J, Hutchings A, Darzi A, Black N. Avoidability of hospital deaths and association with hospital-wide mortality ratios: retrospective case record review and regression analysis. BMJ. 2015;351:h3239.

5. 

Rogne T, Nordseth T, Marhaug G, Berg EM, Tromsdal A, Sæther O, et al. Rate of avoidable deaths in a Norwegian hospital trust as judged by retrospective chart review. BMJ Quality and Safety. 2019;28(1):4955.

6. 

Panagioti M, Khan K, Keers RN, Abuzour A, Phipps D, Kontopantelis E, et al. Prevalence, severity, and nature of preventable patient harm across medical care settings: systematic review and meta-analysis. BMJ. 2019;366:l4185.

7. 

Slawomirski L, Auraaen A, Klazinga NS. The economics of patient safety. OECD Health Working Papers, No. 96. 2017:1.

8. 

Kohn LT, Corrigan JM, Donaldson MS. Committee on Quality of Health Care in America, Institute of Medicine. To err is human: building a safer health system. Washington, DC: National Academies Press; 2000.

9. 

Gluyas H. Patient-centred care: improving healthcare outcomes. Nursing Standard. 2015;30(4):5059.

10. 

Hughes R, Blegen M. Medication administration safety. USA: Agency for Healthcare Research and Quality. 2008.

11. 

Johnston M, Magnan MA. Using a fall prevention checklist to reduce hospital falls: results of a quality improvement project. American Journal of Nursing. 2019;119(3):4349.

12. 

Provonost P, Morlock L, Sexton B. Improving the value of patient safety reporting systems. In: Henriksen K, Battles JB, Keyes MA, Grady ML, editors. Advances in patient safety: new directions and alternative approaches. Volume 1: Assessment. Rockville, MD: Agency for Healthcare Research and Quality; 2008.

13. 

Reeves S, Perrier L, Goldman J, Freeth D, Zwarenstein M. Interprofessional education: effects on professional practice and healthcare outcomes. Cochrane Library. 2013;2018(8):CD002213.

14. 

Rosen MA, DiazGranados D, Dietz AS, Benishek LE, Thompson D, Pronovost PJ, et al. Teamwork in healthcare: key discoveries enabling safer, high-quality care. American Psychologist. 2018;73(4):433550.

15. 

Paige JT, Garbee DD, Brown KM, Rojas JD. Using simulation in interprofessional education. Surgical Clinics of North America. 2015;95(4):751766.

16. 

Rege N. Towards competency-based learning in medical education: building evidence in India. Journal of Postgraduate Medical. 2020;66(1):9.

17. 

Scalese RJ, Obeso VT, Issenberg SB. Simulation technology for skills training and competency assessment in medical education. Journal of General Internal Medicine. 2008;23(S1):4649.

18. 

Rege NN. Assessment in competency-based medical education: a paradigm shift. Journal of Postgraduate Medical. 2020;66(4):184.

19. 

Epstein RM. Assessment in medical education. New England Journal of Medicine. 2007;356(4):387396.

20. 

Bolster L, Rourke L. The effect of restricting residents’ duty hours on patient safety, resident well-being, and resident education: an updated systematic review. Journal of Graduate Medical Education. 2015;7(3):349363.

21. 

Schwartz SI, Galante J, Kaji A, Dolich M, Easter D, Melcher ML, et al. Effect of the 16-hour work limit on general surgery intern operative case volume: a multi-institutional study. JAMA Surgery. 2013;148(9):829.

22. 

Bacon R, Holmes K, Palermo C. Exploring subjectivity in competency-based assessment judgements of assessors: improving assessment. Nutrition and Dietetics. 2017;74(4):357364.

23. 

Janssens O, Embo M, Valcke M, Haerens L. An online Delphi study to investigate the completeness of the CanMEDS Roles and the relevance, formulation, and measurability of their key competencies within eight healthcare disciplines in Flanders. BMC Medical Education. 2022;22(1):260.

24. 

Kruszewski BD, Spell NO III. A consensus approach to identify tiered competencies in quality improvement and patient safety. Journal of Graduate Medical Education. 2018;10(6):646650.

25. 

Benner P. From novice to expert excellence and power in clinical nursing practice. American Journal of Nursing. 1984;84(12):1479.

26. 

Edgar L, Roberts S, Yaghmour NA, Leep Hunderfund A, Hamstra SJ, Conforti L, et al. Competency crosswalk: a multispecialty review of the accreditation council for graduate medical education milestones across four competency domains. Academic Medicine. 2018;93(7):10351041.

27. 

Lichtenberg JW, Portnoy SM, Bebeau MJ, Leigh IW, Nelson PD, Rubin NJ, et al. Challenges to the assessment of competence and competencies. Professional Psychology: Research and Practice. 2007;38(5):474478.

28. 

Whitehead CR, Kuper A, Hodges B, Ellaway R. Conceptual and practical challenges in the assessment of physician competencies. Medical Technology. 2015;37(3): 245251.

29. 

Morris MC, Gallagher TK, Ridgway PF. Tools used to assess medical students competence in procedural skills at the end of a primary medical degree: a systematic review. Medical Education Online. 2012;17(1):18398.

30. 

O’Keefe M, Henderson A, Chick R. Defining a set of common interprofessional learning competencies for health profession students. Medical Technology. 2017;39(5):463468.

31. 

Lingard L, Sue-Chue-Lam C, Tait GR, Bates J, Shadd J, Schulz V; For the Heart Failure/Palliative Care Teamwork Research Group. Pulling together and pulling apart: influences of convergence and divergence on distributed healthcare teams. Advances in Health Sciences Education: Theory and Practice. 2017;22(5):10851099.

32. 

Standards for accreditation of entry-to-practice nurse residency programs. Commission on Collegiate Nursing Education. 2021 [cited 2023 Jun 13]. Available from: https://www.aacnnursing.org/Portals/42/CCNE/PDF/CCNE-Entry-to-Practice-Residency-Standards-2021.pdf.

33. 

Rose S. Medical student education in the time of COVID-19. JAMA. 2020;323(21):21312132.

34. 

Stauss M, Breed H, Chatfield K, Madhavi P, Zelhof B, Woywodt A. Bedside teaching during the COVID-19 pandemic. The Clinical Teacher. 2021;18(4):367369.

35. 

Important guidance for medical students on clinical rotations during the coronavirus (COVID-19) outbreak AAMC. 2020. [updated 2020 Jun 14]. Available from: https://www.aamc.org/news-insights/press-releases/important-guidance-medical-students-clinical-rotations-during-coronavirus-covid-19-outbreak.

36. 

Long DM. Competency-based residency training: the next advance in graduate medical education. Academic Medicine. 2000;75(12):11781183.

37. 

Barry Issenberg S, McGaghie WC, Petrusa ER, Lee Gordon D, Scalese RJ. Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review. Medical Technology. 2005;27(1):1028.

38. 

Motola I, Devine LA, Chung HS, Sullivan JE, Issenberg SB. Simulation in healthcare education: a best evidence practical guide. AMEE Guide No. 82. Medical Technology. 2013;35(10):e1511e1530.

39. 

Okuda Y, Bryson EO, DeMaria S Jr., Jacobson L, Quinones J, Shen B, et al. The utility of simulation in medical education: what is the evidence?: utility of simulation in medical education. Mount Sinai Journal of Medicine. 2009;76(4):330343.

40. 

Gable BD, Misra A, Doos DM, Hughes PG, Clayton LM, Ahmed RA. Disaster day: a simulation-based disaster medicine curriculum for novice learners. Journal of Medical Education and Curricular Development. 2021;8:238212052110207.

41. 

Capella J, Smith S, Philp A, Putnam T, Gilbert C, Fry W, et al. Teamwork training improves the clinical care of trauma patients. Journal of Surgical Education. 2010;67(6):439443.

42. 

James EJG, Vyasam S, Venkatachalam S, Sanseau E, Cassidy K, Ramachandra G, et al. Low-cost “telesimulation” training improves real patient pediatric shock outcomes in India. Frontiers in Pediatrics. 2022;10:904846.

43. 

Moslehi S, Masoumi G, Barghi-Shirazi F. Benefits of simulation-based education in hospital emergency departments: a systematic review. Journal of Education and Health Promotion. 2022;11:40.

44. 

Riley W, Davis S, Miller K, Hansen H, Sainfort F, Sweet R. Didactic and simulation nontechnical skills team training to improve perinatal patient outcomes in a community hospital. Joint Commission Journal on Quality and Patient Safety. 2011;37(8):357364.

45. 

Sarfati L, Ranchon F, Vantard N, Schwiertz V, Larbre V, Parat S, et al. Human-simulation-based learning to prevent medication error: a systematic review. Journal of Evaluation in Clinical Practice. 2019;25(1):1120.

46. 

Steinemann S, Berg B, Skinner A, DiTulio A, Anzelon K, Terada K, et al. In situ, multidisciplinary, simulation-based teamwork training improves early trauma care. Journal of Surgical Education. 2011;68(6):472477.

47. 

Tam V, Borrebach J, Dunn SA, Bellon J, Zeh HJ, Hogg ME. Proficiency-based training and credentialing can improve patient outcomes and decrease cost to a hospital system. American Journal of Surgery. 2019;217(4):591596.

48. 

Irajpour A, Farzi S, Saghaei M, Ravaghi H. Effect of interprofessional education of medication safety program on the medication error of physicians and nurses in the intensive care units. Journal of Education and Health Promotion. 2019;8(196):15.

49. 

Gruppen LD, Burkhardt JC, Fitzgerald JT, Funnell M, Haftel HM, Lypson ML, et al. Competency-based education: programme design and challenges to implementation. Medical Education. 2016;50(5):532539.

50. 

Sezgin MG, Bektas H. Effectiveness of interprofessional simulation-based education programs to improve teamwork and communication for students in the healthcare profession: a systematic review and meta-analysis of randomized controlled trials. Nurse Education Today. 2023;120(105619):105619.

51. 

Buléon C, Mattatia L, Minehart RD, Rudolph JW, Lois FJ, Guillouet E, et al Simulation-based summative assessment in healthcare: an overview of key principles for practice. Advances in Simulation. 2022;7(1):42.

52. 

Rudolph JW, Simon R, Raemer DB, Eppich WJ. Debriefing as formative assessment: closing performance gaps in medical education. Academic Emergency Medicine. 2008;15(11):10101016.

53. 

Ryall T, Judd BK, Gordon CJ. Simulation-based assessments in health professional education: a systematic review. Journal of Multidisciplinary Healthcare. 2016;9:6982.

54. 

Brashers V, Haizlip J, Owen JA. The ASPIRE model: grounding the IPEC core competencies for interprofessional collaborative practice within a foundational framework. Journal of Interprofessional Care. 2020;34(1):128132.

55. 

O’Rourke J, Brown B. Introducing the interprofessional education collaborative competency domains through a dentistry and nursing partnership. Clinical Simulation Nursing. 2017;13(3):102105.

56. 

Patel VL, Glaser R, Arocha JF. Cognition and expertise: acquisition of medical competence. Clinical and Investigative Medicine. 2000;23(4):256260.

57. 

Schmitt M, Blue A, Aschenbrener CA, Viggiano TR. Core competencies for interprofessional collaborative practice: reforming health care by transforming health professionals’ education. Academic Medicine. 2011;86(11):1351.

58. 

Vitale KM, Barsuk JH, Cohen ER, Wayne DB, Hansen RN, Williams LM, et al. Simulation-based mastery learning improves critical care skills of advanced practice providers. ATS Scholar. 2023;4(1):4860.

59. 

Yeh VJH, Sherwood G, Durham CF, Kardong-Edgren S, Schwartz TA, Beeber LS. Online simulation-based mastery learning with deliberate practice: developing interprofessional communication skill. Clinical Simulation in Nursing. 2019;32:2738.

60. 

White-Williams C, Shirey MR. Taking an interprofessional collaborative practice to the next level: strategies to promote high performing teams. Journal of Interprofessional Education & Practice. 2022;26:100485.

61. 

McLaney E, Morassaei S, Hughes L, Davies R, Campbell M, Di Prospero L. A framework for interprofessional team collaboration in a hospital setting: advancing team competencies and behaviours. Healthcare Management Forum. 2022;35(2):112117.