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In pursuit of a better transition to selected residencies: a quasi-experimental evaluation of a final year of medical school dedicated to the acute care domain



Medical schools seek the best curricular designs for the transition to postgraduate education, such as the Dutch elective-based final, ‘transitional’ year. Most Dutch graduates work a mean of three years as a physician-not-in-training (PNIT) before entering residency training. To ease the transition to selected specialties and to decrease the duration of the PNIT period, UMC Utrecht introduced an optional, thematic variant of the usual transitional year, that enables the development of theme-specific competencies, in addition to physicians’ general competencies.


We introduced an optional transitional year for interested students around the theme of acute care, called the Acute Care Transitional Year (ACTY). This study aimed to evaluate the ACTY by judging whether graduates meet postgraduate acute care expectations, indicating enhanced learning and preparation for practice.

In a comprehensive assessment of acute care knowledge, clinical reasoning, skills, and performance in simulations, we collected data from ACTY students, non-ACTY students interested in acute care, and PNITs with approximately six months of acute care experience.


ACTY graduates outperformed non-ACTY graduates on skills and simulations, and had higher odds of coming up to the expectations faculty have of a PNIT, as determined by global ratings. PNITs did better on simulations than ACTY graduates.


ACTY graduates show better resemblance to PNITs than non-ACTY graduates, suggesting better preparation for postgraduate acute care challenges.


Transitional years, offering multidisciplinary perspectives on a certain theme, can enhance learning and preparedness for entering residency.

Peer Review reports


Transitions within the medical education continuum have enjoyed the attention of medical educators for a long time [1, 2]. Learners experience difficulties in adapting to the expectations of the new phase when moving from classroom education to clinical clerkships [3], from medical school to residency [4, 5], and from postgraduate training to fellowship or practice [6,7,8]. Overall, as learners advance to the next phase, they frequently experience an incomplete set of competencies for that phase. In particular, the undergraduate to postgraduate transition has received attention and schools and countries have dealt with this transition in different ways [9, 10]. The UK has introduced a two-year Foundation period, whereas the USA and Canada do not apply any transitional phase but require all graduates to start residency with an internship year, and many other countries require one or more years of clinical service experience [11].

Medical schools struggle to seek the best curricular structures to ease the transition to residency. Introducing longitudinal, integrated clinical experiences [12] and creation of an education continuum within a single specialty [13] are examples.

In the Netherlands, most graduates start their careers working as a physician-not-in-training (PNIT), assuming clinical responsibilities and expanding clinical experience before entering residency [14,15,16]. As a licensed doctor, a PNIT works in hospital patient care with clinical oversight of a medical specialist and with varying levels of supervision, provided by a resident or specialist. This voluntary phase of practice without formal education [14], is of variable duration – from less than one to over three years – and originated from a surplus of graduates for residency positions. On average, graduates work 34 months as a PNIT before starting postgraduate training [17]. Residency selection procedures happen in an open market model, and committees have become accustomed to experienced candidates. This competitive process has urged applicants to expand their clinical experiences, and even adding doctoral research degrees, to maximize their chances to be selected for highly sought residencies. Dutch medical schools, as well as the government, have become aware of the need to better align medical school and residency, to decrease the total length of preparatory training and clinical practice before residency, and thus shorten the whole trajectory of specialization. Dutch medical school reforms in the 2000 decade have led to an elective-based final, ‘transitional’ year model [14, 18, 19]. The primary goal of the transitional year is to improve graduates’ readiness for work by learning to carry clinical responsibilities, and in addition it potentially reduces the duration of the PNIT period by decreasing the need or time of having to learn carrying responsibilities postgraduately. This final, transitional year contains substantial elective opportunities to help students grow toward the responsibilities of a doctor under appropriate supervision, obtain clinical experience and expertise, explore career options, and improve chances on the job market [19, 20]. At University Medical Center (UMC) Utrecht, final year students assemble an individual program [14, 19]. Students spend a 12 weeks sub-internship in a broad clinical specialty of their choice in which they take responsibility for a limited number of "own" patients. They expend another 6 to 12 weeks to one or two clinical electives at a sub-internship level. In addition, students do 12 to 18 weeks research in a domain of choice. They use another six weeks for mandatory training courses in research, teaching and professionalism.

Instead of composing a fully individual package of rotations, students may opt for a thematic track during their transitional year that enables the development of specific competencies within a medical domain (the theme), in addition to the general competencies that graduates need. A thematic track offers focused preparation and professional orientation within the domain of medicine.

Aim of the study

In pursuit of a better transition to work in selected residencies and specialties, the current study aimed to evaluate to which degree a thematic final year track, geared to specialties in a limited domain, could prepare students better for clinical work as a doctor (either as a PNIT or entering residency). We combined a scholarly approach to curriculum design and assessment with the collection of research data, and chose the domain of acute care.



In 2015, we introduced an optional Acute Care Transitional Year (ACTY) at the UMC Utrecht to ease the transition to not just any postgraduate training or non-training post, but to a selected set of residencies or specialties. Per year, on average 18 students interested in acute care (about 7% of an annual cohort) enroll in the ACTY [21].

Anesthesiology, cardiology, emergency medicine, intensive care medicine, and pulmonary medicine have a shared interest in acute care and faculty members of these five specialties designed and implemented the ACTY collaboratively. The three goals of the ACTY are: (a) to enhance acute care learning by boosting motivation, (b) to prepare graduates for clinical acute care practice, and (c) to offer a focused specialty orientation.

The ACTY strives to enhance learning through a coherent final year program that brings together a group of students who share a profound interest in acute care. ACTY’s learning objectives are the acute care challenges recently graduated doctors in several specialties may face. The tasks, formulated as entrustable professional activities (EPAs), link the learning objectives directly to postgraduate expectations [22, 23]. The educational team created three ACTY EPAs: ‘Recognition and initial treatment of patients with vital instability’, ‘Evaluation of patients with respiratory insufficiency’, and ‘Evaluation of patients with circulatory insufficiency’ (See Appendix 1 for full descriptions).

In monthly three-hour teaching sessions, all ACTY students and teachers discuss acute care content related to the EPAs. We designed these sessions to foster a learning community of highly motivated, congenial peers [24]. The sessions present a forum for teacher-guided peer reflections on clinical situations students experienced. The educational sessions do not include skills training or resuscitation drills.

Students commencing the ACTY take an extensive multimodal formative pre-test blueprinted to the ACTY EPAs, to assess knowledge, clinical reasoning, skills, and performance in high-fidelity simulations. The test is designed as a motivating and eye-opening starter to set the stage for the final year, to identify both existing strengths and areas for improvement, and to guide personal learning during the subsequent clinical rotations [24, 25].

ACTY students choose three out of five participating specialties for one sub-internship of twelve weeks and two of six weeks. Additionally, students take a twelve-week research elective in one of the five ACTY specialties.

At completion of the ACTY, students take a formative post-test, similar to the pre-test, to identify the degree of personal growth, provide insight in acute care competence, and detect areas for further learning. The test is mandatory, but not created to serve as a pass/fail assessment.

The ACTY provides orientation on a career within the acute care domain. The ACTY targets the sweet spot between breadth and depth in a final year. Breadth is essential to deliver broadly trained physicians; depth is vital for individualization and pre-specialization. The track offers concentrated but balanced clinical experience, without being overly focused or narrowed down to a single specialty [26]. The ACTY aims to equip graduates with acute care competence, useful for doctors aspiring a career in the ACTY specialties or in other fields involved in acute care (e.g. general practice, tropical medicine, or surgery). Simultaneously, the year allows students to discover which specialty within the acute care domain best matches their interests, while educators can gauge the fit of a student within the specialty. Specialty orientation is a worthwhile goal. One third of students make their choice in the final year and the majority indicate that final year experiences have a strong influence on their ultimate choice of specialty [27]. All ACTY students are assigned to a senior postgraduate trainee in one of the five acute care specialties. This trainee acts as a buddy, provides ‘mentoring on demand’, supports the acculturation to the specialty, gives career advice, and helps to validate the student's choice for this direction.

We have reported before on early experiences with the program [24] and on experiences with the simulations [25]. The current study aims to evaluate to which degree ACTY’s graduates meet postgraduate expectations of junior doctors to provide acute care, as an indication of enhanced learning and preparation for clinical practice.


We collected pre-test and post-test data from ACTY students and participants in two comparison groups in a quasi-experimental design.


All students who commenced the ACTY from September 2015 onwards (small cohorts could start every six weeks) were eligible to participate in the study. We aimed to obtain post-test results from 25 ACTY participants.

To value ACTY test results we included two comparison groups. The first group consisted of UMC Utrecht students who did not take part in the ACTY track and composed an individual transitional year program. To match these participants for motivation and affinity with acute care, we invited students who had chosen at least one sub-internship in anesthesiology, cardiology, emergency medicine, intensive care medicine, or pulmonology for participation in the pre-test and post-test by email. Despite sending reminders, we experienced difficulty in recruiting student controls at the start of the transitional year. We figured that graduating students might be interested to obtain insight in their level of acute care competence and late 2017 we decided to recruit similarly matched non-ACTY medical students around graduation for a single post-test comparison.

A second comparison group contained recently graduated, junior doctors currently employed as physicians, not yet in a residency (PNITs). We recruited PNITs with three to nine months of clinical experience in ACTY specialties, by asking regional hospital departments and educationalists to distribute recruitment emails and reminders. Participating PNITs had not graduated from the ACTY.


Participants took part in the comprehensive multimodal assessment of acute care knowledge, clinical reasoning, clinical skills, and performance in high-fidelity simulated situations. Table 1 provides an overview of the assessment modalities (further details are provided in Appendix 2). The ACTY EPAs served as an assessment blueprint, i.e. as assessment elements we included the knowledge, skills, and attitudes listed in the EPA descriptions (Appendix 1).

Table 1 multimodal acute care assessment and data generated


Each CBD and assessor-observed OSCE station was supervised and assessed by an individual clinician with appropriate expertise who volunteered to assess several students during the day. One of the researchers (GJ) assigned clinicians (residents or specialists) to stations that matched their experience and qualifications. One OSCE station was unmanned and written choices made by the participant were judged afterwards by researchers GJ and EB. The high fidelity simulation assessments were scored by joint effort of EUSim certified simulation center staff. Altogether, during a complete pre- or post-test a participant would be observed and scored by eight to twelve qualified clinical assessors. Inter-rater variability and rater bias were mitigated by extensive individual briefings prior to the assessment done by researchers GJ and EB. This briefing comprised information on the rationale and use of the scoring rubric, test duration, and expected performance level.

Assessors evaluated all participants as if they were a PNIT with six months of clinical experience. Assessors were not made aware whether participants were from intervention or comparison groups, nor whether they did a pre-test or a post-test. Assessors scored participants’ performance live on a paper checklist.

Assessment scores

Each station had a specific checklist following the chronology of the consultation, steps in skill execution, or expected actions and important steps in case management. Assessors scored each item on a three-point scale (done adequately – done incompletely or not timed well – done insufficiently or omitted).

Every assessment element (e.g. station) yielded a summary score, calculated as the awarded points as percentage of the maximum points. From the element summary scores a mean modality score could be calculated for CBDs, for OSCEs, and for simulations.

On CBDs, assessor-observed OSCEs, and simulations, assessors evaluated participant performance with a global rating score (GRS), in addition to checklist scores. This score was a holistic, gestalt, expert evaluation of overall performance on a three-point scale (does not meet expectations – borderline – meets expectations) in answer to the question “How did the participant’s performance compare to the expected level of a PNIT with six months of clinical experience?”. We chose the arbitrary level of six months to have assessors think of a graduate with substantial but delineated experience and to make a match with the actual experience of the PNIT comparison group. Table 1 summarizes the data generated by the assessment.

We ran 25 highly similar test sessions, consisting of two separate half-days. In one test session, all participants would take the same test, either as pre-test or as post-test. Participants’ pre-test and post-test content was never identical. Students attended the pre-test in the first month of their final year and the post-test near the end of the year. Recruited as recent graduates, PNITs could not take a pre-test at the start of their final year. Thus, PNITs attended the test once and, in the comparison, this is regarded as a post-test. All participants received feedback on their performance in the tests.

Ethical approval

The ethical review board of the Netherlands Association for Medical Education approved the study (NERB file 369, November 2014). All participants gave written informed consent.


Modality scores (i.e. knowledge score, mean CBD score, mean OSCE score, and mean simulation score) are expressed in percent points and are compared as group means with SD and differences with 95% CI in rounded percent points.

We explored differences between groups in mean modality scores, in the pre-test, the post-test, and in gain between pre- and post-test, for statistical significance with one-way ANOVA. We used post hoc independent samples t-tests to evaluate differences between two groups.

We used cumulative odds ordinal logistic regression with proportional odds to determine the effect of group type on domain GRS. We report differences between groups as odds ratios.


All 33 ACTY students during the inclusion period participated in the study (group ACTY). They spent 24 weeks in three different sub-internships in anesthesiology (24.2% of rotations chosen), cardiology (25.3%), emergency medicine (18.2%), intensive care medicine (27.3%) and pulmonology (5.1%).

The 21 participants in the student comparison group (group C), 10 for the pre-test and post-test, and 11 for the post-test only, had chosen a median of 2 acute care related sub-internships (range 1-3), spending a median of 12 weeks (range 6-24) in anesthesiology (15% of rotations chosen), cardiology (25%), emergency medicine (20%), intensive care medicine (20%) and pulmonology (15%).

The 17 PNITs (group P) had a mean clinical experience of 5.5 months (range 3.5 – 8.0) in anesthesiology (6%), cardiology (12%), emergency medicine (24%), or intensive care medicine (59%).

Figure 1 participant flow. No participants withdrew from the study. Some participants in group ACTY and group C were unable to attend the post-test. In all groups, a few participants could only partly attend the post-test.

Fig. 1
figure 1

Participant flow in pre- and post-test

Test modality scores

At baseline, there were no statistically significant differences between group ACTY and group C in mean scores on the knowledge test, CBDs, and OSCEs (for statistical details, see Appendix 3). On simulations, there was a statistically significant difference in means, with students in group ACTY having significantly higher scores than students in group C (p=.026, mean difference 6 (2), 95% CI 1 – 11).

In the post-test (Table 2), there were no statistically significant differences in group means on the knowledge exam and CBDs (Appendix 3). There were statistically significant differences in group means for OSCEs (p=.01) and simulations (p=.001). Group ACTY (p=.004, mean difference 8 (3), 95% CI 3 – 13) and group P (p=.026, mean difference 5 (2), 95% CI 1 – 10) had significant higher mean scores on OSCEs than group C.

Table 2 Post-test mean scores (in percentage of maximum score) on four assessment modalities

Group ACTY (p=.036, mean difference 7 (3), 95% CI 1 – 13) and group P (p<.001, mean difference 12 (3), 95% CI 6 – 18) had significantly higher mean scores on simulations than group C. Group P had a significantly higher mean score on simulations than group ACTY (p=.019, mean difference 6 (2), 95% CI 1 – 10).

There were no statistically significant differences between means in gain between pre-test and post-test scores of group ACTY and group C for all assessment modalities (Appendix 3).

Global rating scores

In all groups in the post-test, on global ratings of overall station performance, assessors most often scored “meets expectations” on CBDs and least often on simulations (Table 3).

Table 3 Global rating scores (GRS) in post-test per assessment modality

ACTY students more frequently scored “meets expectations” than group C students. Ordinal logistic regression showed that group type had a statistically significant effect on the prediction of getting a high GRS on CBDs, OSCEs, and simulations (see Appendix 3 for a comprehensive report of the model). This finding can be rephrased with odds ratios of getting a high GRS, using group C as a reference (or: standard). The odds of participants in group ACTY getting a high GRS were 2.06 – 2.49 that in group C, statistically significant for OSCEs and simulations. Participants in group P had statistically significant higher odds (OR 2.45 – 6.69) of receiving a high GRS than those in group C. Also, the odds of obtaining a high GRS in group P was 2.70 for CBDs, 0.99 for OSCEs, and 3.23 for simulations compared to group ACTY; a statistically significant difference on simulations (Appendix 3).


We implemented a thematic transitional year focused on acute care (ACTY) and collected data in a multimodal assessment to evaluate whether ACTY graduates meet postgraduate expectations of junior doctors to provide acute care.

Students graduating from ACTY performed better in the assessment than non-ACTY students with an interest in acute care, especially on performance test modalities (i.e. skills and simulations). Moreover, ACTY students had higher odds than non-ACTY students of meeting the expectations of a PNIT, as determined by GRS. Thus, ACTY graduates show better resemblance to PNITs than non-ACTY graduates, suggesting they are better prepared for junior doctor acute care challenges.

However, PNITs with a mean of 5.5 months of clinical experience did better than students graduating from ACTY on simulations, both in scores and GRS. This suggests that PNITs have a steep learning curve in those first months of ‘real’ clinical work following graduation. Their clinical experience helped in showing an “organized, orderly approach” [28]. Furthermore, PNITs starting in a first acute care job often take additional acute care training. Certification as an advanced life support provider has a medium-size effect on performance in a simulation test of acute care competence [28]. Of interest, a few GRS awarded to PNITs were below assessor expectations of PNITs with six months of experience. This may indicate the recent graduates’ incomplete preparedness for acute care and imperfect or inhomogeneous competence development. However, also failure of an occasional test station in a standardized test may explain this finding.

In times of great need for labor force, such as currently (2020 – 2022) with the Covid-19 pandemic [29, 30], demonstrable competence, obtained as a student in the transitional year, is a way to select the right graduates for critical junior doctor positions. We postulate that ACTY graduates, performing approximately on a midpoint between non-ACTY graduates and acute care PNITs, have a head start for deployment in such jobs.

The ACTY is an example of a thematic transitional year. Many other elective transitional years, offering multidisciplinary perspectives on a certain theme, are conceivable. Similar to the ACTY, these could attract students motivated to develop a specific profile of competence while exploring career options within an area of medicine.

Elective thematic final years present a promising way to design the transition phase from student to doctor. This phase has the potential for professional transformation if learning opportunities are fully exploited [5, 31]. To seize opportunities, this phase requires a comprehensive curriculum of experiential learning and articulated goals [31,32,33]. Students will get opportunities to pursue personal interests, explore specialty preferences, and gain confidence in graduated responsibilities in patient care [31]. And, this final phase will offer opportunities to promote optimal preparation for clinical practice [5, 26, 31,32,33].

The ACTY meets many of the requirements of a transformative final phase. Still, awarding graduated responsibilities in acute care tasks is limited by legal and practical restrictions. Student training must not endanger the critically ill patient or delay needed treatment.

Growing into bearing acute care responsibility starts with experiential learning in a supervised setting. However, hands-on learning opportunities in time-pressured and infrequent clinical situations are scarce. Lack of opportunities poses a pivotal problem in undergraduate acute care training, with final year medical students reporting one to two hands-on experiences in providing acute care [34, 35]. Even in ACTY, we found that students have limited opportunities for frontline acute care experiences [24]. Affording acute care experiential learning, with progressive responsibilities in a supervised setting, may improve ACTY’s preparatory efficacy. The ACTY EPAs would have been suitable tools to apply progressive responsibilities in workplace learning.

However, the introduction of the ACTY and ACTY EPAs in 2015 preceded the adoption of the core undergraduate EPAs by UMC Utrecht medical school. The unfamiliarity of clinical supervisors with EPAs at the time may have impeded the exploitation of ACTY EPAs [24].

EPAs are a way to make accumulating clinical experience and competence visible from medical school to postgraduate training, including the ‘intercurricular’ period of working as a PNIT. Demonstrable competence could be taken into account in the individualization of postgraduate training (PGT) learning plans and could result in shortening of PGT time [15].

Since the implementation, the ACTY curriculum has been essentially unchanged. The ACTY design inspired the development of more thematic final years locally. This study and related research [24] call for a prominent role of the EPAs in ACTY workplace learning.


As part of a program evaluation, the quasi-experimental assessment data provide insight in graduates’ acute care performance. The study was not a controlled trial to prove the superiority of the intervention over the traditional curriculum. We did not control for confounding variables. For example, a study showed that students and interns who had taken an intensive care clinical elective performed better in a simulated test of acute care competence [28]. However, we applied strict inclusion criteria for all groups and measured pre-intervention performance, to constitute relevant comparisons.

Group sizes were relatively small. We had particular difficulty in recruiting comparison group students in the pre- and post-test set-up and reverted to including students for just the post-test, creating a larger but mixed control group. Student controls who did both pre- and post-tests did not score differently in the post-test compared to group ACTY, but this subgroup analysis lacks the power to conclude the absence of differences.

Depending on clinicians volunteering as assessors, we were unable to deploy multiple raters per station, rendering it impossible interrater reliabilities. Multiple raters per station might have reduced any bias and improved test reliability. However, different raters evaluated participants at different stations, so we assume the influence of rater bias on overall test results to be small. Although we extensively briefed each examiner prior to the assessment, we did not use an examiner team calibration training to prepare assessors.

The three-point global rating scale had the levels “does not meet expectations – borderline acceptable – meets expectations” (that faculty have of a PNIT with six months of clinical experience). An extra level for performance that “exceeded expectations” could have provided more discrimination between participants.

Lastly, the assessment was labor-intensive and costly, limiting sustainability and transferability.

This assessment study provides data on graduates’ acute care performance. In an ongoing study, we are surveying graduates’ perceptions of preparedness, on specialty orientation, and on the potential of the ACTY to shift career trajectories (i.e. shorter periods of working as a PNIT, shortening of residency training).


In pursuit of a better transition to postgraduate expectations, we reported on a final year of medical school dedicated to acute care and found that graduates from this program show better resemblance to junior doctors with clinical experience than other graduates.

This final year dedicated to acute care enhances learning and preparedness for challenges that junior doctors in this area will face.

Availability of data and materials

The datasets supporting the conclusions of this article are included within the article (and its additional files).



Acute Care Transitional Year


Case-Based Discussion




Emergency Department


Entrustable Professional Activity


Global Rating Score


Objective Structured Clinical Examination


PostGraduate Training


Physician Not-In-Training


  1. Aschenbrener CA, Ast C, Kirch DG. Graduate Medical Education: Its Role in Achieving a True Medical Education Continuum. Acad Med. 2015;90(9):1203–9.

    Article  Google Scholar 

  2. Custers E, ten Cate O. The History of Medical Education in Europe and the United States, With Respect to Time and Proficiency. Acad Med. 2018;93(3S Competency-Based, Time-Variable Education in the Health Professions):S49–54.

    Article  Google Scholar 

  3. O'Brien BC, Poncelet AN. Transition to clerkship courses: preparing students to enter the workplace. Acad Med. 2010;85(12):1862–9.

    Article  Google Scholar 

  4. Cohen ER, Barsuk JH, Moazed F, et al. Making July safer: simulation-based mastery learning during intern boot camp. Acad Med. 2013;88(2):233–9.

    Article  Google Scholar 

  5. O'Brien BC. What to do about the transition to residency? exploring problems and solutions from three perspectives. Acad Med. 2018;93(5):681–4.

    Article  Google Scholar 

  6. Teunissen PW, Westerman M. Junior doctors caught in the clash: the transition from learning to working explored. Med Educ. 2011;45(10):968–70.

    Article  Google Scholar 

  7. Westerman M, Teunissen PW, Fokkema JP, et al. The transition to hospital consultant and the influence of preparedness, social support, and perception: A structural equation modelling approach. Med Teach. 2013;35(4):320–7.

    Article  Google Scholar 

  8. Mattar SG, Alseidi AA, Jones DB, et al. General surgery residency inadequately prepares trainees for fellowship: results of a survey of fellowship program directors. Ann Surg. 2013;258(3):440–9.

    Article  Google Scholar 

  9. Wijnen-Meijer M, Burdick W, Alofs L, Burgers C, ten Cate O. Stages and transitions in medical education around the world: clarifying structures and terminology. Med Teach. 2013;35(4):301–7.

    Article  Google Scholar 

  10. Weggemans MM, van Dijk B, van Dooijeweert B, Veenendaal AG, ten Cate O. The postgraduate medical education pathway: an international comparison. GMS J Med Educ. 2017;34(5):1–16.

    Google Scholar 

  11. O'Brien BC, Forrest K, Wijnen-Meijer M, ten Cate O. A global view of structures and trends in medical education. In: Swanwick T, Forrest K, O'Brien BC, editors. Understanding Medical Education. 3rd ed. Hoboken: Wiley-Blackwell; 2019.

    Google Scholar 

  12. Hirsh D, Walters L, Poncelet AN. Better learning, better doctors, better delivery system: possibilities from a case study of longitudinal integrated clerkships. Med Teach. 2012;34(7):548–54.

    Article  Google Scholar 

  13. Andrews JS, Bale JF, Soep JB, et al. Education in Pediatrics Across the Continuum (EPAC): First Steps Toward Realizing the Dream of Competency-Based Education. Acad Med. 2018;93(3):414–20.

    Article  Google Scholar 

  14. Ten Cate O. Medical education in The Netherlands. Med Teach. 2007;29(8):752–7.

    Article  Google Scholar 

  15. Hoff RG, Frenkel J, Imhof SM, ten Cate O. Flexibility in Postgraduate Medical Training in the Netherlands. Acad Med. 2018;93(3S Competency-Based, Time-Variable Education in the Health Professions):S32–S6.

    Article  Google Scholar 

  16. Querido S, de Rond M, Wigersma L, van den Broek S, ten Cate O. The significance of experiencing clinical responsibilities for specialty career choice. Med Sci Educ. 2019;30(1):163–71.

  17. Van der Velde F, van de Leemkolk B, Lodder A. Careers and career-preferences of medical graduates. Measurement. 2019; [Loopbanen en loopbaanwensen van basisartsen. Meting 2019.]. [In Dutch] Prismant, 2019.

  18. Wijnen-Meijer M, ten Cate O, Rademakers JJ, van der Schaaf M, Borleffs JC. The influence of a vertically integrated curriculum on the transition to postgraduate training. Med Teach. 2009;31(11):e528–32.

    Article  Google Scholar 

  19. Van den Broek WES, Wijnen-Meijer M, ten Cate O, van Dijk M. Medical students'preparation for the transition tot postgraduate training through final year elective rotations. GMS. J Med Educ. 2017;34(5):Doc65.

    Google Scholar 

  20. Wijnen-Meijer M, ten Cate O, van der Schaaf M, Burgers C, Borleffs J, Harendza S. Vertically integrated medical education and the readiness for practice of graduates. BMC Med Educ. 2015;15:229.

    Article  Google Scholar 

  21. Jonker G, Hoff RG, Max S, Kalkman CJ, ten Cate O. Connecting undergraduate and postgraduate medical education through an elective EPA-based transitional year in acute care: an early project report. GMS. J Med Educ. 2017;34(5):Doc64.

    Google Scholar 

  22. Chen HC, van den Broek WE, ten Cate O. The case for use of entrustable professional activities in undergraduate medical education. Acad Med. 2015;90(4):431–6.

    Article  Google Scholar 

  23. Murray KE, Lane JL, Carraccio C, et al. Crossing the Gap: using competency-based assessment to determine whether learners are ready for the undergraduate-to-graduate transition. Acad Med. 2019;94(3):338–45.

    Article  Google Scholar 

  24. Jonker G, Booij E, Otte WR, Vlijm CM, ten Cate O, Hoff RG. An elective entrustable professional activity-based thematic final medical school year: an appreciative inquiry study among students, graduates, and supervisors. Adv Med Educ Pract. 2018;9:837–45.

    Article  Google Scholar 

  25. Groot F, Jonker G, Rinia M, ten Cate O, Hoff RG. Simulation at the frontier of the zone of proximal development: a test in acute care for inexperienced learners. Acad Med. 2020;95(7):1098–105.

    Article  Google Scholar 

  26. Reddy ST, Chao J, Carter JL, et al. Alliance for clinical education perspective paper: recommendations for redesigning the "final year" of medical school. Teach Learn Med. 2014;26(4):420–7.

    Article  Google Scholar 

  27. Wijnen-Meijer M, ten Cate O, van der Schaaf M, Borleffs JC. Vertical integration in medical school: effect on the transition to postgraduate training. Med Educ. 2010;44(3):272–9.

    Article  Google Scholar 

  28. Boulet JR, Murray D, Kras J, Woodhouse J, McAllister J, Ziv A. Reliability and validity of a simulation-based acute care skills assessment for medical students and residents. Anesthesiology. 2003;99(6):1270–80.

    Article  Google Scholar 

  29. Flotte TR, Larkin AC, Fischer MA, et al. Accelerated graduation and the deployment of new physicians during the COVID-19 pandemic. Acad Med. 2020;95(10):1492–4.

    Article  Google Scholar 

  30. Lapolla P, Mingoli A. COVID-19 changes medical education in Italy: will other countries follow? Postgrad Med J. 2020;96(1137):375–6.

    Article  Google Scholar 

  31. Keeley MG, Gusic ME, Morgan HK, Aagaard EM, Santen SA. Moving Toward Summative Competency Assessment to Individualize the Postclerkship Phase. Acad Med. 2019;94(12):1858–64.

    Article  Google Scholar 

  32. Dewan M, Norcini J. A purpose-driven fourth year of medical school. Acad Med. 2018;93(4):581–5.

    Article  Google Scholar 

  33. Lumb A, Murdoch-Eaton D. Electives in undergraduate medical education: AMEE Guide No. 88. Med Teach. 2014;36(7):557–72.

    Article  Google Scholar 

  34. Lempp H, Seabrook M, Cochrane M, Rees J. The transition from medical student to doctor: perceptions of final year students and preregistration house officers related to expected learning outcomes. J Clin Pract. 2005;59(3):324–9.

    Article  Google Scholar 

  35. Burford B, Ellis E, Williamson A, Forest I, Vance G. Learning opportunities in student assistantships. Clin Teach. 2015;12(2):121–7.

    Article  Google Scholar 

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The authors are grateful to Hans Reitsma, MD, PhD, for his assistance in the statistical analysis.

We are also grateful to all examiners and staff, who voluntarily spent their precious time to assess participants in our study.


The researchers funded the assessment with a grant from the Master Phase Renewal Fund of Utrecht University. The funding body had no role in the design of the study, nor in the collection, analysis, and interpretation of data, nor in writing the manuscript.

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GJ: Conception of study, study design, data collection, data analysis, interpretation of data, writing up of the first draft of the paper, drafting of revisions. EB: Data collection, data analysis, interpretation of data, critical revision of paper. JEMV: Data collection, interpretation of data, critical revision of paper. CJK: Conception of study, data analysis, critical revision of paper. OtC: Conception of study, interpretation of data, critical revision of paper. RGH: Conception of study, study design, interpretation of data, critical revision of paper. The author(s) read and approved the final manuscript.

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GJ is an anesthesiologist, vice-director of postgraduate anesthesia training at University Medical Center Utrecht, Utrecht University. This study is part of his PhD thesis in medical education.

EB is an educationalist at the Department of Anesthesiology, University Medical Center Utrecht, Utrecht University.

JEMV is an anesthesiologist and certified simulation facilitator at Rijnstate Hospital, Velp and Arnhem.

CJK is a professor of anesthesiology, University Medical Center Utrecht, Utrecht University.

OtC is a professor of medical education, at the Center for Research and Development of education, University Medical Center Utrecht, Utrecht University.

RGH is a professor of education and training in perioperative, intensive and emergency care, and director of postgraduate anesthesia training, University Medical Center Utrecht, Utrecht University.

Corresponding author

Correspondence to Gersten Jonker.

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Ethics approval and consent to participate

The ethical review board of the Netherlands Association for Medical Education approved the study (NERB file 369, November 2014). All participants gave written informed consent.

All methods were carried out in accordance with relevant guidelines and regulations.

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Jonker, G., Booij, E., Vernooij, J.E.M. et al. In pursuit of a better transition to selected residencies: a quasi-experimental evaluation of a final year of medical school dedicated to the acute care domain. BMC Med Educ 22, 807 (2022).

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