Clinicians' Perceived Understanding of Biostatistical Results in the Medical Literature: A Cross-Sectional Study.
Kurubaran GanasegeranAlan Swee Hock Ch'ngMohd Fadzly Amar JamilIrene LooiPublished in: Medicina (Kaunas, Lithuania) (2019)
Background and objectives: The continuum of evidence-based medicine (EBM) depends solely on clinicians' commitment to keep current with the latest clinical information. Exploration on clinicians' understanding of biostatistical results in the medical literature is sparse to date. This study aimed to evaluate clinicians' perceived understanding of biostatistical results in the medical literature and the factors influencing them. Materials and Methods: A cross-sectional study was conducted among 201 clinicians at the Seberang Jaya Hospital, a cluster-lead research hospital in Northern Malaysia. A self-administered questionnaire that consisted of items on sociodemographics, validated items on clinicians' confidence level in interpreting statistical concepts, perceived understanding of biostatistics, and familiarity with different statistical methods were used. Descriptive, univariate, and multivariate analyses were conducted. Results: Perceived understanding of biostatistical results among clinicians in our sample was nearly 75%. In the final regression model, perceived understanding was significantly higher among clinicians who were able to interpret p-values with complete confidence (AOR = 3.0, 95% CI 1.1-8.1), clinicians who regularly encounter measures of central tendencies (AOR = 2.3, 95% CI 1.1-5.2), and clinicians who regularly encounter inferential statistics (AOR = 2.2, 95% CI 1.1-4.5) while appraising the medical literature. Conclusions: High perceived understanding was significantly associated with clinicians' confidence in interpreting statistical concepts and familiarity with different statistical methods. Our findings form a platform to understand clinicians' ability to appraise rigorous biostatistical results in the medical literature for the retrieval of evidence-based data to be used in routine clinical practice.