Evidence map›Paper›PMID 41256747›Full record

ArticleJournal of clinical practice and research2023

The Effects of an Online Symptom-Based Learning Method Designed to Enhance Clinical Reasoning: A Qualitative Study.

Selçuk Akturan, Ayşenur Duman Dilbaz, Bilge Delibalta

Abstract read
In one paragraph

Article in Journal of clinical practice and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Selçuk AkturanDepartment of Medical Education, Karadeniz Technical University, Faculty of Medicine Trabzon, Türkiye.
Ayşenur Duman DilbazDepartment of Medical Education, Karadeniz Technical University, Faculty of Medicine Trabzon, Türkiye.
Bilge DelibaltaDepartment of Medical Education, Karadeniz Technical University, Faculty of Medicine Trabzon, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The 'Online Symptom-Based Learning (SBL)' method was developed to support the clinical decision-making processes of students in clinical years, using the Education Management System (EMS) integrated with Zoom. This research aimed to gather the opinions of students and faculty members about the 'Online SBL' method applied during the pandemic. Materials and Methods: This qualitative study involved 34 faculty members using Online SBL and 267 clinical year students from Karadeniz Technical University Faculty of Medicine. The researchers employed a convenience sampling method and selected volunteers for focus group interviews, including 28 clinical year students and 23 faculty members from different departments and clinical courses. Results: Analysis revealed five main themes upon which the researchers agreed: educators' previous experiences in clinical reasoning, their experiences with SBL, students' experiences with SBL, the contributions of SBL to education, and suggestions for improving SBL. Conclusion: The primary findings indicated that SBL improved clinical reasoning skills, positively affected the educational climate during the pandemic, promoted student-centered thinking among educators, and facilitated interdisciplinary collaboration towards common learning objectives. However, challenges included anxiety associated with conducting SBL online, some educators' persistence in educator-oriented thinking, and difficulties in group assessments. The Online SBL method could be beneficial not only online but also in face-to-face undergraduate education across all health professions.

Indexed as

clinical reasoningOnline learningundergraduate medical education

Identifiers

PMID41256747
PMCPMC12478713

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.