ArticleAdvances in health sciences education : theory and practice2015
Preparing to prescribe: How do clerkship students learn in the midst of complexity?
Article in Advances in health sciences education : theory and practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Examining the nexus between medical education and complexity: a systematic review to inform practice and research.BMC medical education · 2023Pooled it
- The impact of a preprescribing formative assessment on learning in final-year medical students using hospital inpatient electronic prescribing systems.British journal of clinical pharmacology · 2026Article
- A systematic review of antimicrobial stewardship education for undergraduate students in medicine, nursing, pharmacy, dentistry, veterinary science and midwifery using COM-B framework.JAC-antimicrobial resistance · 2026Review
- Article
- Can a novel constructivist theory-informed feedback intervention reduce prescribing errors ? A pre-post study.BMC medical education · 2023Article
- What Aspects of Supervised Patient Encounters Affect Students' Perception of Having an Excellent Learning Outcome? A Survey Among European Medical Students.Advances in medical education and practice · 2023Article
- Article
- What causes prescribing errors in children? Scoping review.BMJ open · 2019Article
- Article
- Why nutrition education is inadequate in the medical curriculum: a qualitative study of students' perspectives on barriers and strategies.BMC medical education · 2018Article
- Learning to prescribe intravenous fluids: A scoping review.Perspectives on medical education · 2017Article
- Motivation and competence of participants in a learner-centered student-run clinic: an exploratory pilot study.BMC medical education · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prescribing tasks, which involve pharmacological knowledge, clinical decision-making and practical skill, take place within unpredictable social environments and involve interactions within and between endlessly changing health care teams. Despite this, curriculum designers commonly assume them to be simple to learn and perform. This research used mixed methods to explore how undergraduate medical students learn to prescribe in the 'real world'. It was informed by cognitive psychology, sociocultural theory, and systems thinking. We found that learning to prescribe occurs as a dynamic series of socially negotiated interactions within and between individuals, communities and environments. As well as a thematic analysis, we developed a framework of three conceptual spaces in which learning opportunities for prescribing occur. This illustrates a complex systems view of prescribing education and defines three major system components: the "social space", where the environmental conditions influence or bring about a learning experience; the "process space", describing what happens during the learning experience; and the intra-personal "cognitive space", where the learner may develop aspects of prescribing expertise. This conceptualisation broadens the scope of inquiry of prescribing education research by highlighting the complex interplay between individual and social dimensions of learning. This perspective is also likely to be relevant to students' learning of other clinical competencies.
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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.