Evidence map›Paper›PMID 41783769›Full record

ArticleJournal of Taibah University Medical Sciences2026

Training satisfaction among medical trainees in the Ministry of defense, fifth training sector, KSA.

Jaber A Alshahrani, Ibrahim S Al Arfaj, Iman Q Ababneh, Eman M Mohamed

Abstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 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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0citing papers 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

4 authors.

Jaber A AlshahraniDepartment of Family Medicine and Medical Education, Armed Forces Hospital Southern Region, Ministry of Defense Health Services, Khamis Mushait, KSA.
Ibrahim S Al ArfajDepartment of Family Medicine and Medical Education, Armed Forces Hospital Southern Region, Ministry of Defense Health Services, Khamis Mushait, KSA.
Iman Q AbabnehDepartment of Medical Education, Academic Affairs, Armed Forces Hospital Southern Region, Ministry of Defense Health Services, Khamis Mushait, KSA.
Eman M MohamedDepartment of Medical Education, Academic Affairs, Armed Forces Hospital Southern Region, Ministry of Defense Health Services, Khamis Mushait, KSA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Residency satisfaction, a key measure of the effectiveness of medical training programs, influences both professional development and patient care outcomes. Assessing satisfaction can help identify areas for program improvement and guide curriculum enhancements. Methods: Two independent cross-sectional surveys were conducted among trainees in the fifth training sector of the Saudi Commission for Health Specialties (SCFHS). A validated 24-item questionnaire covering six domains of residency experience (Cronbach's alpha 0.81-0.95) was administered to trainees across 23 programs in 2023-2024 and 29 programs in 2024-2025. A census sampling strategy was used, and all 594 eligible trainees were invited to participate. A total of 464 responses were completed (overall response rate, 78 %). Scores were analyzed by training level, specialty, and program characteristics, and year-over-year comparisons were made. Results: The overall mean satisfaction significantly improved, from 72.3 % in 2023-2024 to 86.2 % in 2024-2025 (Mann-Whitney U test, p < 0.05). Notable improvements were observed across several surgical and critical care specialties. Scores varied by training level: fellowship trainees showed the highest scores in 2023-2024, whereas first-year midwifery diploma trainees reported the highest scores in 2024-2025. Factors associated with higher satisfaction included constructive faculty feedback, adequate supervision, well-organized hospital rotations, and availability of simulation-based learning. Areas associated with lower scores included workload, duty hours, and the balance between junior and senior trainee responsibilities. Conclusion: Residency programs in the SCFHS fifth training sector demonstrated significant improvements in trainee contentment over 1 year. These improvements might have been associated with enhancements in program structure, curriculum, and faculty engagement. The findings highlight the importance of ongoing monitoring of resident experiences and targeted interventions to optimize educational quality and trainee well-being.

Indexed as

Medical educationProgram evaluationResidency satisfactionSCFHSTrainee experience

Identifiers

PMID41783769
PMCPMC12955627

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LicenceCC BY-NC-ND
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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.