ArticleBMC medical education2021
Exploring why medical students still feel underprepared for clinical practice: a qualitative analysis of an authentic on-call simulation.
Article in BMC medical education, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- A systematic review of medical practitioners' retention and application of basic sciences to clinical practice.BMC medical education · 2024Pooled it
- Faculty standardized patients versus traditional teaching method to improve clinical competence among traditional Chinese medicine students: a prospective randomized controlled trial.BMC medical education · 2024Trial
- Prepare medical graduates for residency through near-peer teaching: addressing reciprocal determinants.Annals of medicine · 2026Article
- Effect of Large Language Model-Powered Virtual Standardized Patients on History-Taking Among Undergraduate Medical Students: Propensity-Matched Cohort Study.JMIR medical education · 2026Article
- Article
- Perceived readiness for clinical practice among recent graduates of a 5 + 2 reformed medical curriculum.BMC medical education · 2026Article
- From Simulation to the Clinical Area: A Mixed-Methods Study Comparing Skills Laboratory Proficiency and Clinical Performance (RLE) Among Nursing Students in a Philippine University.Advances in medical education and practice · 2026Article
- Graduating medical students' perception of preparedness for practice: experiential learning is key.BMC medical education · 2025Article
- The practical year: a qualitative study on stressors, resources and proposed improvements among medical students.BMC medical education · 2025Article
- Exploring preparedness transitions in medicine and pharmacy: a qualitative longitudinal study to inform multiprofessional learning opportunities.Advances in health sciences education : theory and practice · 2025Article
- Do Danish medical students feel prepared to deliver healthcare to patients with backgrounds different from their own? A cross-sectional survey.BMC medical education · 2024Article
- Article
- Using simulation scenarios and a debriefing structure to promote feedback skills among interprofessional team members in clinical practice.Advances in simulation (London, England) · 2024Article
- A systematic scoping review of group reflection in medical education.BMC medical education · 2024Article
- Exploring challenges and perceptions in the learning environment: an online qualitative study of medical students.BMC medical education · 2024Article
- Application effect of BOPPPS teaching model on fundamentals of nursing education: a meta-analysis of randomized controlled studies.Frontiers in medicine · 2024Review
- Virtual on-call: Does a simulated on-call session increase the preparedness of final-year medical students?Future healthcare journal · 2022Article
- Junior doctors' experiences with interprofessional collaboration: Wandering the landscape.Medical education · 2022Article
- A Unique Simulation Methodology for Practicing Clinical Decision Making.Journal of medical education and curricular developmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrent research shows that many UK medical graduates continue to feel underprepared to work as a junior doctor. Most research in this field has focused on new graduates and employed the use of retrospective self-rating questionnaires. There remains a lack of detailed understanding of the challenges encountered in preparing for clinical practice, specifically those faced by medical students, where relevant educational interventions could have a significant impact. Through use of a novel on-call simulation, we set out to determine factors affecting perceived preparation for practice in final year medical students and identify ways in which we may better support them throughout their undergraduate training.
methods30 final year medical students from Imperial College London participated in a 90-minute simulation on hospital wards, developed to recreate a realistic on-call experience of a newly qualified doctor. Students partook in pairs, each observed by a qualified doctor taking field notes on their decisions and actions. A 60-minute semi-structured debrief between observer and student pair was audio-recorded for analysis. Field notes and students' clinical documentation were used to explore any challenges encountered. Debrief transcripts were thematically analysed through a general inductive approach. Cognitive Load Theory (CLT) was used as a lens through which to finalise the evolving themes.
resultsSix key themes emerged from the on-call simulation debriefs: information overload, the reality gap, making use of existing knowledge, negative feelings and emotions, unfamiliar surroundings, and learning 'on the job'.
conclusionsThe combination of high fidelity on-call simulation, close observation and personalised debrief offers a novel insight into the difficulties faced by undergraduates in their preparation for work as a junior doctor. In using CLT to conceptualise the data, we can begin to understand how cognitive load may be optimised within this context and, in doing so, we highlight ways in which undergraduate curricula may be adapted to better support students in their preparation for clinical practice. Recommendations are centred around enhancing the expertise of the learner through 'whole task' training approaches and integrated learning, as well as navigating negative emotions and supporting lifelong 'learning while working'.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.