Evidence map›Paper›PMID 42602513›Full record

ArticleFrontiers in medicine2026

Systems thinking as the integrative competency in undergraduate Family Medicine education: a cross-sectional evaluation of an integrated primary care block.

Abdul Rehman Zia Zaidi, Baraa Alghalyini, Racha Kamal Khaled, Mohammad Ameen Alswes, Helen P Batty

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Article in Frontiers in medicine, 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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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

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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.

Abdul Rehman Zia ZaidiDepartment of Family and Community Medicine, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Baraa AlghalyiniDepartment of Family and Community Medicine, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Racha Kamal KhaledDepartment of Family and Community Medicine, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Mohammad Ameen AlswesDepartment of Family and Community Medicine, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Helen P BattyDepartment of Family and Community Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Family Medicine and Primary Health Care anchor effective health systems, yet undergraduate curricula have given them limited dedicated space. The COM353 Family Medicine and Primary Care block at Alfaisal University was created to give these areas more dedicated curricular space, combining didactic teaching, Primary Health Care Center (PHCC) visits, structured reflection, and explicit engagement with clinical uncertainty. Methods: We conducted a single-institution, cross-sectional quantitative evaluation of third-year medical students who completed the block in January 2026. A 42-item Likert instrument, adapted from the Dundee Ready Education Environment Measure (DREEM) and the Groningen Reflection Ability Scale (GRAS) with block-specific items, captured perceptions across seven domains. Of 126 enrolled students, 96 responded (76.2%). Analyses included descriptive statistics, internal-consistency reliability, inter-domain correlations, and multiple linear regression. Reporting follows the STROBE guideline. Results: Domain means ranged from 3.90 to 4.27 (of 5), with all domains exceeding the scale midpoint by large margins (Cohen's d, 0.92 to 1.58). Agreement rates ran from 63.7 to 80.7%. Internal consistency was excellent (Cronbach's alpha = 0.988 overall; 0.940 to 0.974 across domains). Family Medicine and PHC Competencies achieved the highest mean (4.27) and reflective practice the lowest (3.90). On a single global rating, 87.5% of students rated the block positively (mean 3.80, SD 1.13). Multiple regression with six domains predicting perceived block value explained 78.2% of variance; Conclusion: A purposefully integrated Family Medicine block joining community-based experience, reflective practice, and explicit work with uncertainty appears to produce favorable educational outcomes across multiple domains. Of these, perceiving healthcare as an interconnected system most strongly predicted students' overall evaluation, suggesting that systems thinking acts as the integrative thread giving other curricular elements coherence.

Indexed as

clinical uncertaintycurriculum evaluationFamily Medicinemedical educationPrimary Health Carereflective practicesystems thinkingundergraduate medical education

Identifiers

PMID42602513
PMCPMC13474014

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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.