Evidence map›Paper›PMID 35255616›Full record

SynthesisKorean journal of medical education2022

Strategies for developing pre-clinical medical students' clinical reasoning based on illness script formation: a systematic review.

Jihyun Si

Abstract readSystematic Review
In one paragraph

Synthesis in Korean journal of medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  7. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Jihyun SiDepartment of Medical Education, Dong-A University College of Medicine, Busan, Korea.

Funding

Ministry of Education of the Republic of KoreaNational Research Foundation of Korea 2021S1A5A8066646
6 · The paper itself

Abstract

Clinical reasoning training in the pre-clinical phase has recently been considered important; however, when it comes to specific instructional methods for pre-clinical students, much is unknown. Thus, the aim of this review is to explore learning and teaching methods for pre-clinical students' clinical reasoning development based on illness script formation, their results, and strategies. A systematic review was conducted in accordance with the guidelines of the Association for Medical Education in Europe. The literature search was performed using the Cochrane Library, PubMed, EMBASE, Web of Science, and ERIC databases based on keywords, including "illness script*" AND ("medical student*" OR pre-clinical OR undergraduate). Then, 10 studies among the 91 studies were included in the final analysis. The quality of the selected studies was also appraised using the Medical Education Research Study Quality Instrument. Diverse teaching and learning methods were used to support the integration of biomedical and clinical knowledge working with patient cases, and their effects were assessed through diverse methods, including illness script richness and maturity, to learner responses. The effects of these interventions were effective in terms of the clinical reasoning development of pre-clinical students. Learning and teaching strategies were synthesized and described. This review found that explicit attempts to promote illness script formation with a structured program rather than informal training lead to positive results, and such formal clinical reasoning programs can provide smooth transition from pre-clinical to clinical experience.

Indexed as

Education, MedicalEducation, Medical, UndergraduateStudents, MedicalClinical CompetenceClinical ReasoningHumansLearningProblem SolvingClinical reasoningIllness scriptMedical educationPre-clinicalTeaching strategies

Identifiers

PMID35255616
PMCPMC8906925

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.