ArticleFrontiers in medicine2025
Development and validation of a questionnaire for laboratory medicine knowledge and attitudes in clinical medical interns.
Article in Frontiers in medicine, 2025. 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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Abstract
Introduction: In medical education systems, the clinical internship phase is critical for clinical laboratory knowledge training. Insufficient clinical laboratory knowledge among clinicians directly leads to diagnostic errors or suboptimal treatment decisions. This study aimed to develop and validate a questionnaire evaluating laboratory medicine knowledge and attitudes among clinical medical undergraduates during their internships. Methods: Based on a comprehensive literature review and focus group discussions, our research team designed the "Questionnaire on Laboratory Medicine Knowledge and Attitudes Among Undergraduate Clinical Medical Interns." The questionnaire comprises four sections: demographic information, knowledge assessment, attitudes evaluation, and suggestions for improvement. Internal consistency was analyzed using Cronbach's α and intraclass correlation coefficients (ICC). Content validity was assessed via Content Validity Index (CVI) and Content Validity Ratio (CVR). Structural validity was examined using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and model fit indices (e.g., GFI, CFI, RMSEA). Results: A total of 303 valid questionnaires were collected from interns across 11 general hospitals in the Yangtze River Delta region. The Cronbach's α coefficients were 0.905 (knowledge subscale) and 0.803 (attitudes subscale), respectively, with ICC values of 0.705 and 0.576. The CVR was 0.923, and all item-level CVIs exceeded 0.78. EFA revealed a two-factor structure (KMO = 0.783, Bartlett's test Conclusion: This validated questionnaire demonstrates preliminary reliability and validity for assessing laboratory medicine knowledge and attitudes among clinical interns in specific healthcare contexts (e.g., urban tertiary hospitals). Further validation in diverse healthcare contexts is required before broader implementation.
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