Competency in evidence-based medicine and associated factors among medical radiology technologists in Addis Ababa, Ethiopia

J Med Radiat Sci. 2024 Sep;71(3):344-354. doi: 10.1002/jmrs.777. Epub 2024 Mar 6.

Abstract

Introduction: Evidence-based medicine integrates clinical expertise, patient values and best research evidence in clinical decision-making. This study aimed to assess evidence-based medicine knowledge, attitudes, practices and associated factors among medical radiology technologists in Addis Ababa, Ethiopia.

Methods: A cross-sectional study was conducted among 392 medical radiology technologists from May to August 2022 using a self-administered questionnaire. Bivariate and multivariate logistic regression identified factors associated with evidence-based medicine practice.

Results: Most medical radiology technologists (57.7%) had moderate evidence-based medicine knowledge and 94.9% had favourable attitudes. However, 64.8% demonstrated poor evidence-based medicine practice. Factors significantly associated with better evidence-based medicine practice were moderate knowledge (AOR 1.949, 95% CI 1.155-3.291), good statistical understanding (AOR 1.824, 95% CI 1.135-2.930), sufficient time for evidence-based medicine (AOR 1.892, 95% CI 1.140-3.141), institutional support (AOR 2.093, 95% CI 1.271-3.440) and evidence-based medicine resource access (AOR 1.653, 95% CI 1.028-2.656).

Conclusion: Despite moderate knowledge and positive attitudes towards evidence-based medicine, most medical radiology technologists had suboptimal utilisation. Strategies to improve knowledge, ensure dedicated time, provide institutional support and resources could enhance evidence-based radiology practice.

Keywords: Ethiopia; competency; evidence‐based medicine; medical radiology technologists; radiographer.

MeSH terms

  • Adult
  • Clinical Competence*
  • Cross-Sectional Studies
  • Ethiopia
  • Evidence-Based Medicine*
  • Female
  • Health Knowledge, Attitudes, Practice
  • Humans
  • Male
  • Middle Aged
  • Surveys and Questionnaires
  • Technology, Radiologic