© Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
High-fidelity simulation training programme for final-year medical students: implications from the perceived learning outcomes
YF Choi, FHKCEM, MSc(Clinical Education)(Edin)1,2,3; TW Wong, FHKCEM, FHKAM (Emergency Medicine)1
1 Accident and Emergency Department, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong
2 Programme Director, Nethersole Clinical Simulation Training Centre, Hong Kong
3 Medical Director, Hong Kong Fire Services Department, Hong Kong
Corresponding author: Dr YF Choi (firstname.lastname@example.org)
We designed a session of high-fidelity simulation training course for final-year medical students in their emergency medicine specialty clerkship. This was a new initiative with clearly defined learning outcomes. We aimed to evaluate the learning outcomes. Students completed an evaluation form at the end of the session focusing on their perceived learning outcomes. Thematic analysis was conducted for data processing. We collected responses from 149 students. In addition to the intended outcomes of the course, students gained unexpected learning outcomes from the training and some of them matched a few identified learning gaps between undergraduate medical education and their subsequent transition to early clinical practice that have been described in the literature. High-fidelity simulation training in medical school could be an effective tool to address some of the identified gaps in the transition between undergraduate medical education and postgraduate practice.
Clinical simulation training has become more widely practised in local hospitals and academic healthcare institutions in the past decade, with a wide range of training modalities, from part-task simulator to full-body manikin and from single skill training to interprofessional team-based training.
The Nethersole Clinical Simulation Training Centre is a hospital-based training centre which has advocated high-fidelity multidisciplinary team training for hospital staff since its establishment in 2012 in Pamela Youde Nethersole Eastern Hospital. From 2008, the emergency department of the hospital was one of the centres for teaching emergency medicine specialty clerkship medical students from one of the medical schools in Hong Kong. In 2017, the emergency department collaborated with the Nethersole Clinical Simulation Training Centre in an initiative to design a high-fidelity simulation training session for medical students.
In the past, medical students in local medical school did not have much high-fidelity simulation training because medical schools did not have high-fidelity training facilities. Furthermore, it was conventionally believed that high-fidelity simulation training is more beneficial for expert-level learners and that low-fidelity training was more suitable for beginners, because the sophisticated context in the high-fidelity environment might potentially jeopardise learning objectives by creating excessive cognitive burden.1 2 3 Medical students, owing to their low clinical exposure, were regarded as beginners.
However, a recent study suggested that once medical students have learnt some basic skills, high-fidelity simulation training might benefit learners through psychological immersion, despite the extra cognitive burden.4 Therefore, we decided to trial high-fidelity simulation training for final-year medical students, who have already completed most of their academic studies and have acquired some basic practical skills.
The prototype of the simulation training course was started in 2017 and at that time we mainly evaluated the “reaction” phase of the learners which is the basic level of outcome evaluation according to Kirkpatrick’s model (Fig). The feedback from the students was very positive and they welcomed the course very much.5 Encouraged by this, we revised the course material in 2018 with written intended learning outcomes. In the present study, we evaluate “learning”, which is a level higher in the Kirkpatrick’s model.
The aim of the present study was to evaluate the learning outcomes of a high-fidelity simulation training course for final-year medical students.
This was a qualitative study by a survey in English. The contents were checked against SRQR reporting guideline (Standards for Reporting Qualitative Research 2016 version).
The training course was conducted in the Nethersole Clinical Simulation Training Centre that has a simulation training suite with isolated simulation rooms and a debriefing room. The simulation rooms are equipped with ceiling-mounted cameras for video-assisted debriefing. The simulation room used was prepared to resemble the environment of a resuscitation room in the emergency department with a full-body high-fidelity manikin.
The training course consisted of a brief introduction followed by four short case scenarios in a 3-hour session. In the introduction, students were briefed about course structure, learning objectives, and clinical simulation rules and underwent a short simulation laboratory familiarisation session. A group of seven to eight students further divided into two subgroups played the four scenarios in turn. While one subgroup was doing the scenario, the other subgroup observed from the debriefing room via the audio-visual system. The instructor wore a nurse uniform and acted as an experienced nurse in the scenarios, which included no real-time coaching. In the four scenarios all the patients presented with acute or even life-threatening conditions that need prompt treatment. Such a design simulated the high psychological fidelity of real life. Participants had to treat the patients on their own with no guidance from the instructor. A debriefing session was carried out immediately after each scenario.
A cohort of student participants in 2018 were selected by convenience sampling and they were asked to complete an evaluation form immediately after the session. The evaluation form invited the students to offer free text only with no rating scale. They could write up to three perceived learning outcomes, up to three reflections after the course and any extra comments or suggestions about the course. There was no space to enter the name of the students, so the data collection was completely anonymous.
The findings in the evaluation form were processed through thematic analysis shortly after each course and compared with the intended learning outcomes of the course (Table 1). The intended learning outcomes were designed to include both clinical learning outcomes and teamwork learning outcomes such as briefing, debriefing, communication, situation awareness, and leadership. The clinical learning outcomes, owing to their diversity were further divided into three separate categories (general approach to critical patients, use of investigations and resuscitation skills) while all the teamwork-related learning outcomes are grouped under one category. The written learning outcomes were first coded under these intended learning outcomes. Items not fitted under the intended learning outcomes were considered new findings. These new findings were further processed newly identified themes. The results of thematic analysis were checked serially by the authors for quality assurance. Consensus on new themes after further literature review was made between authors on items that could not be categorised under the intended learning outcomes.
Data saturation was attained after 20 sessions with 149 evaluation forms collected (data saturation is a point when no new theme was found by thematic analysis after analysing the responses after several courses). The response rate was 100% and more than 99% (148 out of 149) of the returned forms were complete, despite the voluntary nature of data collection.
The intended learning outcomes are listed in Table 1. From the contents of the evaluation form, all of the intended learning outcomes were well received by the respondents, as reflected by the responses shown in Table 1.
In addition to the intended learning outcomes, we discovered a large number of learning points or reflections that cannot be categorised under our pre-planned learning objectives. These additional unexpected learning points were processed by thematic analysis under new headings as listed in Table 2.
Table 2. Unexpected/additional learning outcomes from the course with sample quotations from respondents
Respondents were also given the opportunity to make open comments or suggestions about the course. Some of the responses are listed in Table 3.
The original intention of course evaluation questionnaire was to evaluate the learning objectives as perceived by students. The results suggest that our intended learning outcomes were well received by our students. A number of learning outcomes were revealed that did not fall into our intended learning outcomes by thematic analysis. Additional literature review revealed that these unexpected outcomes match some gaps identified in the transition between undergraduate medical education and postgraduate practice.
In our training course, high fidelity was thought to be an important element to achieve the learning outcomes, including the unexpected ones. Fidelity is commonly defined as “the level of realism present to the learners during a simulation training”.3 4 Conventionally, it is believed that higher fidelity leads to more efficient learning.6
However, fidelity is not a single-dimensional concept and there are different components of fidelity described in the literature using different terminology. For simplicity, we consider the definition of fidelity described by Feinstein and Cannon, in which fidelity of simulation has physical and functional aspects.3 Physical fidelity includes the environmental, visual, and spatial components, such as the design of the simulation room, the performance of manikin, and the settings of various instruments. Functional fidelity is a dynamic interaction between the participants and their task, including information, stimuli, and responses of learners. Other simulation educators have used the terms “conceptual”, “experiential”, “emotional” or more commonly “psychological” fidelity to describe the same or similar concepts,2 7 but further discussion is beyond the scope of the present study.
High-fidelity simulation training was not always regarded as superior to lower-fidelity training. Besides the issue of cost, early studies in the last century in various disciplines (such as civil and military aviation) failed to show better learning outcomes after high physical fidelity training.3 8 9 10 This might be because the high physical fidelity training over-stimulated novice learners and resulted in cognitive overload that jeopardised the intended learning objectives.11 Such findings supported the conventional belief that low fidelity is better for beginners and high fidelity is for expert learners. Medical students are regarded as novice learners and have little or no working experience. These conventional beliefs lead to the conclusion that it is unreasonable and not cost-effective to expose medical students to high physical fidelity simulation training. However, this overlooks the importance of functional or psychological fidelity. In recent years, studies have suggested that functional or psychological fidelity is important in enhancing learning.7 12 13 14 15 In addition to simulating real-world functioning, high psychological fidelity also creates a stressful environment, increasing student arousal level and facilitating learning and performance. Therefore, in our training course, in addition to the relatively high physical fidelity provided by the well-equipped simulation training room and sophisticated manikin, we further enhanced functional or psychological fidelity by the following interventions:
All of these measures enhanced functional fidelity by providing a realistic working environment and imposed psychological immersion for the participants.
A further remark on the term “fidelity” is that physical and psychological fidelity are not mutually exclusive nor competitive, but are actually complementary to each other.17 18 19 20 For example, a high-fidelity manikin who can talk or moan can enhance psychological stimuli for the participants.
Some of the learning outcomes of the course are closely related to psychological fidelity, namely teamwork, working under stress, identifying one’s own weakness, acute patient management, and situation awareness. In the written responses under these headings, we could see interaction, flow of information, stress, and self-reflection.
Gaps in undergraduate medical education
Although not the original objective of this study, we found that the unexpected learning outcomes of this study echoed some of the identified gaps between transitions from undergraduate medical education to early postgraduate medical practice in the literature. In the medical education literature there have been calls worldwide for reform of undergraduate medical curricula, to address gaps identified in undergraduate medical education that adversely affect medical interns in their early practice.21 22 23 24 25 These gaps include working under stress, working on call, uncertainties, helplessness, workload, difficulties prescribing medication, and managing acutely ill patients, and similar gaps have been identified in medical educations programmes across the world.
Newly graduated interns perceive their work to be stressful and have feelings of being underprepared.23 24 25 Educators have suggested that undergraduate curricula should prepare medical students to deal with expected stress, such as facing uncertainty, knowing one’s limitations, and asserting one’s right for support.21 26 27 These wordings or identified gaps were found in the perceived learning outcomes of our course. In the literature, interns have indicated that they could not predict their shortcomings in their undergraduate study until they were in clinical practice. Furthermore, it was also suggested that undergraduate medical education should include more on communication skills and emotional involvement.21 28 29 Again these aspects match the perceived learning outcomes of our course.
More work-related training should be put in the final year of medical school, particularly for dealing with acutely ill patients and prescribing medication.30 31 32 Studies have shown that despite curriculum reform, management of acute problems has remained an unclosed gap.30 33 34 Work-related training with acutely ill patients is difficult to achieve because such patients are not always readily available even if medical students do a period of assistant internship. This is a likely reason that curriculum reform and workplace placements during their final year closed some gaps but not others.20 21 The opportunities for students to experience real acute care are limited, making it difficult to build expertise through repetitive practice.35 36 Furthermore, there is always an ethical consideration of whether to allow students to treat acutely ill patients.37
The learning outcomes of our study suggest that high-fidelity simulation training can be a solution to the gaps identified. High-fidelity simulation training can create a lot of scenarios with acutely ill patients in a short period of time, to create an environment in which students can make mistakes and learn from these mistakes without harming real patients. This idea is supported by the literature, which demonstrates simulation training is better than other forms of instruction method such as didactic or problem-based learning and should serve as an adjunct to other instruction methods.2 38 39 This point is particularly important because interns or junior doctors are the first medical responders called to attend acutely deteriorating patient in a ward and their suboptimal management might put patients at risk or delay appropriate treatment.21 29 The General Medical Council of the United Kingdom also recommends the use of simulation technology in medical school.22
The limitations of this study include that data were collected from only one medical school, the current curriculum was not discussed, the cohort included students at different times in their final year, and most (but not all) students were recruited before formal clinical placement.
There are gaps between undergraduate medical education and transition to postgraduate clinical practice which could be eliminated through reform of undergraduate medical school curricula. The application of psychologically immersive high-fidelity simulation training for medical students is likely to be a helpful strategy to enhance their preparedness. Such training should emphasise management of acutely ill patients.
All authors had full access to the data, contributed to the study, approved the final version for publication, and take responsibility for its accuracy and integrity. YF Choi wrote the article. All authors contributed to the concept of study, acquisition and analysis of data, and critical revision for important intellectual content.
Conflicts of interest
As an editor of the journal, TW Wong was not involved in the peer review process. The other author has disclosed no conflicts of interest.
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
No real patients were involved in this study and no personal data was collected from the participants. Verbal consent was obtained from all participants in the introduction session of the course; participation was non-compulsory. The study was approved by the hospital ethics committee (Ref HKECREC-2019-013).
1. Alessi SM. Fidelity in the design of instructional simulations. J Comput Based Instr 1988;14:40-7.
2. Maran NJ, Glavin RJ. Low- to high- fidelity simulation—a continuum of medical education? Med Educ 2003;37(Suppl 1):22-8. Crossref
3. Feinstein AH, Cannon HM. Fidelity, verifiability, and validity of simulation: constructs for evaluation. Developments in Business Simulation and Experiential Learning. 2001; 28: 57-65.
4. Mills BW, Carter OB, Rudd CJ, Claxton LA, Ross NP, Strobel NA. Effects of low- versus high-fidelity simulations on the cognitive burden and performance of entry-level paramedicine students: a mixed-methods comparison trial using eye-tracking, continuous heart rate, difficulty rating scales, video observation and interviews. Simul Healthc 2016;11:10-8. Crossref
5. Choi YF, Wong TW. High fidelity simulation training for medical students in emergency medicine specialty clerkship. Proceedings of the 9th Asia Medical Education Symposium cum Frontiers in Medical and Healthcare Science Education 2017. OP2.
6. Hays RT, Singer MJ. Simulation Fidelity in Training System Design: Bridging the Gap between Reality and Training. New York: Springer-Verlag; 1989. Crossref
7. Diederich E, Mahnken JD, Rigler SK, Williamson TL, Tarver S, Sharpe MR. The effect of model fidelity on learning outcomes of a simulation-based education program for central venous catheter insertion. Simul Healthc 2015;10:360-7. Crossref
8. Matsumoto ED, Hamstra SJ, Radomski SC, Cusimano MD. The effect of bench model fidelity on endourological skill: a randomized controlled trial. J Urol 2002;167:1243-7. Crossref
9. Chandra DB, Savoldelli GL, Joo HS, Weiss ID, Nail VN. Fiberoptic oral intubation: the effect of model fidelity on training for transfer to patient care. Anesthesiology 2008;109:1007-13. Crossref
10. Grober ED, Hamstra SJ, Wanzel KR, et al. The educational impact of bench model fidelity on the acquisition of technical skill: the use of clinically relevant outcome measures. Ann Surg 2004;240:374-81. Crossref
11. Martin EL, Waag WL. Contributions of platform motion to simulator training effectiveness: Study I—basic contact. 39. Brooks Air Force Base, Texas Air Force Human Resources Laboratory; 1978. Crossref
12. Bland AJ, Topping A, Tobbell J. Time to unravel the conceptual confusion of authenticity and fidelity and their contribution to learning within simulation-based nursing education. A discussion paper. Nurse Educ Today 2014;24:1112-8. Crossref
13. Chetwood JD, Grag P, Burton K. High-fidelity realistic acute medical simulation and SBAR training at a tertiary hospital in Blantyre, Malawi. Simul Healthc 2018;13:139-45. Crossref
14. Rudolph JW, Simon R, Reamer DB. Which reality matters? Questions on the path to high engagement in healthcare simulation. Simul Healthc 2007;2:161-3. Crossref
15. Hamstra SJ, Brydges R, Hatala R, Zendejas B, Cook DA. Reconsidering fidelity in simulation-based training. Acad Med 2014;89:387-92. Crossref
16. Rudolph JW, Raemer DB, Simon R. Establishing a safe container for learning in simulation: the role of the presimulation briefing. Simul Healthc 2014;9:339-49. Crossref
17. Kozlowski SW, DeShon RP. A psychological fidelity approach to simulation-based training: theory, research and principles. In: Elliott LR, Coovert MD, Schiflett SG, editors. Scaled Worlds: Development, Validation and Applications. New York: Ashgate Publishing; 2017.
18. Oser RL, Cannon-Bowers J, Sala E, Dwyer DJ. Enhancing human performance in technology-rich environments: Guidelines for scenario-based training. Hum Tach Interact Complex Sys 1999;9:175-202.
19. Beaubien JM, Baker DP. The use of simulation for training teamwork skill in health care: how low can we go? Qual Saf Health Care 2004;13 Suppl 1:i51-6. Crossref
20. Tun JK, Alinier G, Tang J, Kneebone RL. Redefining simulation fidelity in healthcare education. Simul Gaming 2015;46:159-74. Crossref
21. Bernnan N, Corrigan O, Allard J, et al. The transition from medical student to junior doctor: today’s experiences of tomorrow’s doctors. Med Educ 2010;44:449-58. Crossref
22. General Medical Council. Tomorrow’s Doctors. London: GMC; 2009.
23. Teo A. The current state of medical education in Japan: a system under reform. Med Educ 2007;41:302-8. Crossref
24. Segouin C, Jouquan J, Hodges B, et al. Country report: medical education in France. Med Educ 2007;41:295-301. Crossref
25. Ochsmann EB, Zier U, Drexler H, Schmid K. Well prepared for work? Junior doctors’ self-assessment after medical education. BMC Med Educ 2011;11:99. Crossref
26. Miles S, Kellett J, Leinster SJ. Medical graduates’ preparedness to practice: a comparison of undergraduate medical school training. BMC Med Educ 2017;17:33. Crossref
27. Lempp H, Cochrane M, Seabrook M, Rees J. Impact of educational preparation on medical students in transition from final year to PRHO year: a qualitative evaluation of final-year training following the introduction of new year 5 curriculum in a London medical school. Med Teach 2004;26:276-8. Crossref
28. Watmough S, Garden A, Taylor D. Pre-registration house officers’ views on studying under a reformed medical curriculum in the UK. Med Educ 2006;40:893-9. Crossref
29. O’Neill PA, Jones A, Willis SC, McArdle PJ. Does a new undergraduate curriculum based on Tomorrow’s Doctors prepare house officers better for their first post? A qualitative study of the views of pre-registration house officers using critical incidents. Med Educ 2003;37:1100-8. Crossref
30. Illing JC, Peile E, Morrison J, et al. How prepared are medical graduate to begin practice? A comparison of three diverse UK medical school. London: General Medical Council; 2008.
31. Smith CM, Perkins GD, Bullock I, Bion JF. Undergraduate training in the care of the acutely ill patient: a literature review. Intensive Care Med 2007;33:901-7. Crossref
32. Jensen ML, Hesselfeldt R, Rasmussen MB, et al. Newly graduated doctors’ competence in managing cardiopulmonary arrests assessed using a standardized Advanced Life Support (ALS) assessment. Resuscitation 2008;77:63-8. Crossref
33. Bosch J, Maaz A, Hitzblech T, Holzhausen Y, Peters H. Medical students’ preparedness for professional activities in early clerkship. BMC Med Educ 2017;17:140. Crossref
34. Illing JC, Morrow GM, Rothwell nee Kergon CR, et al. Perception of UK medical graduates’ preparedness for practice: a multi-centre qualitative study reflecting the importance of learning on the job. BMC Med Educ 2013;13:34. Crossref
35. Phillips PS, Nolan JP. Training in basic and advanced life support in UK medical schools: questionnaire survey. BMJ 2001;323:22-3. Crossref
36. Vozenilek J, Huff JS, Reznek M, Gordon JA. See one, do one, teach one: advanced technology in medical education. Acad Emerg Med 2004;11:1149-54. Crossref
37. Ziv A, Wolpe PR, Small SD, Glick S. Simulation-based medical education: an ethical imperative. Acad Med 2003;78:783-8. Crossref
38. Beal MD, Kinnear J, Anderson CR, Martin TD, Wamboldt R, Hooper L. The effectiveness of medical simulation in teaching medical students critical care medicine: A systemic review and meta-analysis. Simul Healthc 2017;12:104-16. Crossref
39. McCoy CE, Menchine M, Anderson C, Kollen R, Langdorf MI, Lotfipour S. Prospective randomized crossover study of simulation vs didactics for teaching medical students the assessment and management of critically ill patients. J Emerg Med 2011;40:448-55. Crossref