Evidence map›Paper›PMID 42893262›Full record

ArticleAdvances in medical education and practice2026

Mapping the Social Interaction Architecture of Clinical Reasoning in Morning Report: A Mixed-Methods Social Network Analysis.

Sorour Mosleh, Reza Yousefi Nooraie, Peyman Adibi, Sayed Jalal Zahabi, Athar Omid

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Article in Advances in medical education and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sorour MoslehDepartment of Medical Education, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID 0000-0001-9269-3673
Reza Yousefi NooraieDepartment of Public Health Sciences, University of Rochester, Rochester, NY, USA.ORCID 0000-0002-9002-7121
Peyman AdibiDepartment of Gastroenterology and Hepatology, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID 0000-0001-6411-5235
Sayed Jalal ZahabiDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.ORCID 0000-0001-5868-8192
Athar OmidDepartment of Medical Education, Medical Education Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID 0000-0003-4251-0351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Morning Report (MR) is a workplace-based learning activity in which clinical reasoning develops through interaction among learners and clinical teachers. Although previous studies have examined the educational value of MR, less is known about how clinical reasoning is socially constructed through patterns of communication and participation. This study aimed to investigate the interactional architecture of MR using Mixed-Methods Social Network Analysis (MMSNA). Methods: We conducted a qualitatively driven data transformation mixed-methods study using verbatim transcripts from 20 MR (Approximately 780 minutes) sessions across Internal Medicine, Cardiology, and Pediatrics from three 1000-bed hospitals in Iran. Qualitative content analysis was used to identify educational interaction patterns, which were subsequently converted into network matrices. Two complementary network structures were constructed and analyzed using centrality measures: (1) participant-to-participant interaction networks and (2) interaction-pattern transition networks. Results: The qualitative analysis identified ten educational interaction patterns, primarily involving case presentation, diagnostic questioning, responses, and teaching explanations. SNA revealed that educational roles, particularly those of facilitators and presenters, shaped network centrality more strongly than academic rank or gender. Specialty-specific differences in network structures were observed: Internal Medicine and Pediatrics demonstrated facilitator-centered networks, whereas Cardiology showed a presenter-centered configuration. Response and answer patterns emerged as important bridging elements that connected different phases of the discussion. Discussion: MMSNA provides a novel framework for examining how clinical reasoning emerges through social interaction by integrating the meaning of educational conversations with their relational organization. The findings highlight the importance of intentional facilitation strategies that promote effective questioning, learner engagement, psychological safety, and an appropriate balance between expert guidance and learner autonomy.

Indexed as

clinical reasoningmedical educationmorning reportsocial network analysis

Identifiers

PMID42893262
PMCPMC13676172

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