MétaCan
Menu
Retour à la cohorte
Enregistrement W7111181247 · doi:10.3389/fmed.2025.1750655

Correction: Development, implementation, and evaluation of a flagship simulation-based capstone course for graduating medical students in the Middle East

2025· article· en· W7111181247 sur OpenAlexaboutno aff

Notice bibliographique

RevueFrontiers in Medicine · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueSimulation-Based Education in Healthcare
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMiddle EastCourse (navigation)Capstone courseCapstoneCurriculum

Résumé

récupéré en direct d'OpenAlex

Transitioning from undergraduate to graduate medical education is characterized by challenges related to clinical competence, professional identity formation, and the adoption of system-based practice. This transition serves as an accountability measure for medical schools, particularly for international medical graduates (IMGs). Unfortunately, there remains a gap in medical education that may compromise the fitness to practice of graduating doctors. To address this gap, this work aimed to develop, implement, and evaluate a simulation-based Transition to Residency (TTR) capstone course within a Doctor of Medicine (MD) course that aligns with the Entrustable Professional Activities (EPAs) and specifically targets the educational shortcomings experienced by new medical graduates.Our course adopted the modified Kern 7-step approach and incorporated simulation-based, Kolb's experiential learning, and e-learning constructs. The core themes included patient safety, basic and advanced procedural skills, "night on call," acute case management training, and life support training. The main themes were mapped to high-yield competencies that corresponded with the core EPAs. A structured study plan, clear learning objectives, assessment tools, and full integration of educational and simulation technologies were developed. The pre-and post-data on students' self-assessment of competence and assessment of their performance (Kirkpatrick's level 2) and satisfaction with the learning outcomes (Kirkpatrick's level 1) were analyzed.The transition from undergraduate to graduate medical education (UME-GME) is a hallmark event where new graduates begin to provide unsupervised care and navigate the complex healthcare ecosystem, all while striving to maintain a healthy life-work balance and lifelong learning. Medical schools are committed to preparing their new medical graduates for clinical practice, thereby mitigating healthcare-related adverse outcomes for patients, as well as for physicians who have been facing alarmingly high rates of burnout. (1)(2)(3)(4) Readiness for UME-GME transition is based on decisions of entrustment and serves as a proxy for the degree of consistency and robustness of the clinical learning experiences. Entrustment, as defined by the Association for American Medical Colleges (AAMC) core entrustable professional activities (EPAs), (5) demands more curated training and rigorous assessment data. Notwithstanding, the unpredictability of the clinical workplace, coupled with the nature of workplace-based education where multiple-level learners are engaged simultaneously, has always posed a challenge to the educational process. On the one hand, learners must accumulate the necessary clinical exposure and experience in their competency domains. In contrast, clinical educators struggle to deliver congruent developmental levels of teaching and assessment, ensuring equitable learner participation in clinical workplace activities (6,7) . Moreover, reports from medical graduates suggest limited and lower-quality clinical experiences, supervision, and feedback (8), as well as substantial variations between clinical clerkships and individual students. (9) Emerging evidence of gaps in the competence of new medical graduates (10) and associated patient safety concerns (11)(12)(13)(14)(15) prompted a reevaluation of training approaches and assessment methods. The EPAs, first introduced in 2005, (16) shifted the focus of competency-based medical education to measuring units of real-world observable clinical activities. In parallel, preparatory UME-GME condensed courses were introduced into medical curricula, addressing the practical aspects of patient care, professionalism, patient safety, and deliberate practice of basic and advanced procedural skills. Dubbed as Transition to Residency (TTR), these courses have a proven track of effectiveness in improving students' confidence level in various skills, (17) specifically when incorporating experiences such as reflections on successes and challenges faced and strategies for problem-solving. Primarily simulation-based, TTR experiences offer students opportunities to reinforce their knowledge, skills, and attitudes under the direct supervision of experienced professionals in a safe and controlled experiential learning environment. The resulting rigorous assessment data provide reliable information about the students' actual clinical abilities. (18) Despite their importance, few scholarly publications exist on the rationale, instructional design, simulation modalities, and implementation of these transition courses (4,(19)(20)(21)(22) . The available publications also show a lack of standardization in the timing, duration, specificity, and assessment methods (23,24) .The recent developments in the United States Medical Licensure Exams (USMLEs), starting with setting the USMLE Step 1 exam as pass/fail, followed by the abrupt cancellation of theStep 2 Clinical Skills (Step 2 CS) exam during the COVID-19 pandemic, compounded the problem of inadequate assessment data. International medical graduates (IMGs), physicians practicing medicine in a country different from their country of primary medical qualification, (25) were particularly impacted by these changes, as they were denied the competitive edge of high Step 1 scores, (26) and from the opportunity to demonstrate their cognitive, communication, and psychomotor skills in Step 2 CS. (27,28) Concomitantly, major concerns arose about graduating "substandard" physicians, stressing the need for establishing "valid, reliable, fair, feasible, verifiable, appropriately delivered, and managed competency-based assessment" (29) to replace Step 2 CS. Expert recommendations, therefore, prompted the enabling of rigorous local clinical assessments to support all clinical skills EPAs, as well as learning activities encompassing different encounter formats and skill domains. (18) More publications followed, suggesting UME-GME capstone course topics. (30,31) As the first of its kind in the Middle East and North Africa (MENA) region, the capstone course at the Khalifa University College of Medicine and Health Sciences (KUCMHS) Doctor of Medicine (MD) program represents a flagship EPA-aligned and TTR curriculum-based course developed to support final-year medical students through a structured, simulation-integrated training. Its design aimed to fill the critical gap in regional medical education, particularly for IMGs, by offering a replicable and adaptable model for other high-performing academic institutions. By incorporating simulation-based education and leveraging a digital learning management system, the course was planned to foster clinical readiness and professional identity formation during the transition to postgraduate training. (32) Given the novelty and regional significance of this course, this study seeks to explore how participation in a simulation-enhanced capstone course, aligned with EPAs, influenced final-year medical students' self-confidence and overall readiness for independent clinical practice.We developed and implemented an intensive capstone course during the last month of the 4th year of the MD program at KUCMHS between 2023 and 2025. The course's primary aim was to ensure integration of high-yield skills to prepare the medical graduates for transition to residency. Since its launch, the course has undergone enhancements based on students' needs assessments and feedback, as well as observations by the organizing team. We present a detailed roadmap outlining the steps involved in course development, implementation, and improvement. This includes the course blueprint, organization, logistical and human resources management, content digitization using learning management systems, and incorporation of assessment tools for direct observation of performance. To evaluate the course effectiveness, we analyzed the students' satisfaction, their performance metrics, and pre-and post-course self-confidence assessment. These detailed descriptions offer a comprehensive roadmap to medical educators involved in UME-GME transitions, particularly in international MD programs, to effectively implement a similar course in their curricula.This is a longitudinal descriptive study of a required capstone course, delivered over three Participants included all 4th-year MD students enrolled in the KUCMHS MD program.The study was reviewed and approved by the Khalifa University Office of Research Services Compliance (#H23-043) as shown in Appendix 1 (SUPPL 2.). All learners signed the informed consent form and gave written permission for audiovisual recording for the purposes of simulation-based educational activities.The capstone course was designed following a model that integrated best practices for effective simulation-based training and a modification of Kern et al.'s 6-step approach for curriculum development (33) (Table 1, SUPPL 1.). We aligned the simulation-based sessions with Kolb's experiential learning cycle. (34) Given that our learners were final-year medical students with prior exposure to a broad set of clinical skills, they entered Kolb's cycle at the stage of active experimentation rather than starting with concrete experience. The sessions' learning objectives, contents, and assessment tools were aligned with the AAMC EPA framework. (5) Based on the identified gaps in the clinical training at the KUCMHS, the results of the workplace-based assessment of the students, and informed by Bandura's social cognitive theory (35) of self-efficacy, we devised a generic survey in 2023, followed by a more in-depth needs assessment survey. The questions were formulated to reflect the students' perceived level of general self-entrustment and self-assessment of competence on high-yield skills necessary for independent, safe healthcare delivery. The results helped us refine the learning objectives and schedule the sessions.The primary goals of the capstone course were to provide structured high-yield training experiences that would potentially improve the readiness of the KUCMHS graduating MDs for independent clinical practice. The course was conducted in a safe simulation-based learning environment that fosters direct supervision and real-time feedback on performance from subject matter experts. To ensure extensive alignment across the curriculum, a blueprint of the core EPAs, competency domains, learning objectives (LOs), and assessment tools was designed (Figure 1; Table 2, SUPPL 1), with an emphasis on psychomotor, cognitive, and communication competencies. The organizing team of simulation experts collaborated with clinical subject matter experts (SME) to develop the sessions' contents. Following a flipped classroom design, the students were assigned pre-session learning and assessment materials posted on the university's learning management system (LMS), including Blackboard™ (Bb) and LearningSpace™. The pedagogical principles followed were learner-centeredness, simulation-based education, and deliberate practice (36)(37)(38) using various simulation modalities such as simulated patients (SPs), hybrid simulations, part-task trainers, and low-to high-fidelity manikins, aligning with the respective session learning objectives (4) (Figure 2). The learners reflected on their performance and set long-term learning goals accordingly. An adapted version of Night on Call (NoC) (39) , a simulated learning experience that assesses near-medical graduates' readiness for internship and entrustment judgements was introduced as of Capstone 2024. accreditation standards, specifically, the Teaching/Education Accreditation Standards. (40) Facilitators received calendar invitations that included important logistical information, such as a map of the KUCMHS main campus and the requisite dress code. Each session included an iteration of detailed instructions on Bb to orient the medical students. This encompassed a scheduling roster, which was later projected on the day on a large TV screen of the simulation classrooms (Table 4, SUPPL 1.). An in-person pre-briefing was conducted during the initial 10 minutes to clarify expectations, session objectives, the learning environment, and simulation modalities. Afterward, the students were divided into smaller groups for activities.The degree of the students' skill acquisition was measured as the change between the preand post-self-assessment of competence in the various skills, in addition to direct assessment of performance during each session.At the outset and conclusion of the course, students' self-assessments of their overall readiness for unsupervised practice and clinical competence in various high-yield skills were collected. The data from pre-and post-course self-assessment of competence were compared for evidence of improvement. A questionnaire for data collection was developed around the concept of self-assessment of entrustment and of skills competence necessary for post-graduate year 1 (PGY-1) residents. This step also served as a targeted needs assessment. The content validity was established by piloting the questionnaire amongst the students, which was then modified based on their feedback.The criteria for competence for procedural skills were determined through discussions among the organizing team and SMEs and considering the EPA framework. In 2025, a hybrid tool was introduced that was based on two validated and widely used assessment tools: the Direct Observation of Procedural Skills (DOPS) (41)(42)(43) to assess competence, and the Modified Ottawa Co-Activity Scale (MOCAS) (44)(45)(46) tool to evaluate overall entrustment per skill. The assessment of students' performance was conducted by eight assessors who had been trained in the use of the assessment tools. Inter-rater reliability was established through a pre-assessment calibration of the tools and shared mental model consensus, where the assessors met and discussed observable performance expectations (Figure 3a). To encourage the students to reflect on their performance (reflection-on-action), a separate tool targeted the learner's self-assessment of entrustment (MOCAS -student version) (47) (Figure 3b). While there is overwhelming evidence showing that medical students tend to inflate their performance on clinical encounters and communication skills versus objective knowledge-based exams, (48,49) recent findings suggest consistency between student and faculty assessment results, (50), particularly as students develop a sense of belonging and become more focused on learning in the context of formative assessment . (51,52) Based on the MOCAS, criteria for passing a given procedural skills station were set at students functioning fairly independently with minimal intervention by the experts. Observing the principles of assessment in competency-based medical education and assessment for learning, (53) we set the criteria at a non-compensatory pass/fail while allocating time for deliberate practice to attain an acceptable level of performance. In the first two iterations of the course, we collected students' evaluations of each session individually. In 2025, we collected the evaluations weekly; it included questions that reflected the LOs of each session using a 5-point Likert scale (Table 5, SUPPL 1.).The Practice TM Simulation Design. (54) The KUCMHS simulation team led the coordination and execution of the space, logistics, communication with the external facilitators, set up and arrangement of the simulation space and modalities, assigning and training of the standardized patients (SPs), student attendance record keeping, tracking students' engagement with the pre-session materials on the LMS, and collection of all assessment and evaluation data. Each year, a dedicated "capstone launch meeting" was held to discuss the schedule and communication plan, role assignments, potential hurdles, and contingency plans (Table 6 SUPPL The associated workload distribution proved challenging to estimate and had to be revisited based on staff input.The course sessions were facilitated by a multidisciplinary team of simulation and SMEs from KUCMHS and selected clinical experts from different affiliated academic medical centers in Abu Dhabi, UAE (Table 6, SUPPL 1.). A remediation week was scheduled for students who were absent from one or more sessions.As a part of the continuous quality improvement process, a pre-course needs assessment was conducted. Based on the increasing number of students during the last two years and to address students' needs, new sessions were added that covered EPAs 1, 4-6, and 9 (5) , Basic Life Support (BLS) certification, and Advanced Cardiac Life Support (ACLS) certification.The direct observation assessment tools were refined to better align with the EPA framework. Similarly, during the academic year 2024, a reflective practice session was conducted amongst the organizing team to identify key areas for improvement of the course design, organizational and team These with the students' course prompted in 2025. the staff workload was based on a more estimate of time on the focus of the safety session was to skills and a student self-assessment of the scale was which aligns with the introduced EPA that assessment of performance to as well as with the KUCMHS MD learning was to pre-course post-course and learner feedback, data collection and Simulation modalities were integrated to align with the sessions' LOs (Table 1; 2). was using The To evaluate the effectiveness of the the for each of the three were for pre-and A was to assess the significance of change per To the of the for each was with as and large A level of was used as the for significance for all the three years of the course implementation, students satisfaction with the sessions' learning outcomes (Table SUPPL a proxy to the course's quality of and performance of The pre-and of the students' confidence levels across various 2) a general of across all and with from to The of the students' assessment data of on procedural skills using capstone course of a between the students' self-assessment and the assessment of is that a few students the need for or intervention for a set of skills, which would set their learning goals and learning opportunities in with these capstone course at KUCMHS to our knowledge, the first training implemented around the EPAs in the Middle We descriptions of the course design and continuous quality improvement while successes and challenges outlining a blueprint for in similar educational The course was to the educational and training needs of the first of the KUCMHS MD Its primary outcomes included medical students with the expectations of on communication, cognitive and psychomotor skills, patient safety, and the balance of and professional during the the course was designed to and for students' to graduate medical The curriculum was around core EPAs (5) and principles of on critical clinical skills for safe unsupervised healthcare the readiness of medical graduates in these competency is to the levels of and as well as the in new competencies at the of the The capstone course at KUCMHS proved a as is in the improvement in the students' skills, with the improvement in psychomotor skills the the engagement of a of clinical experts facilitated effective course with the of setting up a condensed course conducted in groups and in a flipped classroom was a major time demands on each team proved which led to workload distribution (Table 4, SUPPL 1.). To address a detailed blueprint was developed to session including logistics, and simulation modalities (Table SUPPL 1.). alignment of assessment with learning objectives was to to the time between and feedback and in the assessment dedicated assessors from the simulation team was a to reliable it the of in the course with student experienced Transitioning to a system communication, and management through on results of the students' self-assessment of competence a clear when the pre-and post-course in the psychomotor, cognitive, and domains. psychomotor skills the when compared to cognitive and communication skills (Figure Table This observation was as the KUCMHS MD course a longitudinal and structured that While the implementation of such a condensed course using learning, and assessment based on direct observation of competence, is it an evidence of the well and TTR for our students. such the students' competitive edge and their their in and international our capstone course at KUCMHS has must be the smaller of students may the of this course in educational the nature of the course in its challenges to its the quality for assessment is particularly extensive training for assessors and the of dedicated in each the course evaluations aligned with levels 1 and 2 provide evidence the long-term and the of to capstone course at KUCMHS proved a as is through the results in the improvement in the students' skills, with the improvement in psychomotor skills the The course well with the the competency-based medical education aimed to approved for TTR These courses be informed by local needs assessment data to design training with a focus on the psychomotor skills The integration of structured TTR courses would also assessment data that into the assessment and students' on the students' performance to the level of The related to the nature of course its and be through various that are in context with established TTR courses be across the clinical The tools would high-fidelity from local medical or as well as a for and resources and the of across medical schools and simulation centers are a development and implementation educators are to the of and such a While the outcomes improvement in students' confidence we suggest that a training course would be a more that the learning needs of students, their level of performance in competencies necessary for the of their to support the design and execution of TTR courses while and from technologies simulation and of assessment using specifically for simulation

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,121
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,027
Score d'incertitude au seuil0,062

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,121
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,002
Communication savante0,0020,002
Science ouverte0,0030,002
Intégrité de la recherche0,0070,009
Charge utile insuffisante (le modèle a refusé de juger)0,0190,009

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,115
Tête enseignante GPT0,472
Écart entre enseignants0,357 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueFrontiers in MedicineMême sujetSimulation-Based Education in HealthcareTravaux en français237 207