Evaluating the Psychometric Properties of the Evidence-Based Practice Attitude and Utilization Survey

J Altern Complement Med. 2016 Apr;22(4):328-35. doi: 10.1089/acm.2015.0221. Epub 2016 Mar 16.

Abstract

Objective: Most health professions recognize the value of evidence-based practice (EBP), yet the uptake of EBP across most health disciplines has been suboptimal. To improve EBP uptake, it is important to first understand the many dimensions that affect EBP use. The Evidence-Based practice Attitude and utilization SurvEy (EBASE) was designed to measure the attitudes, skills, and use of EBP among practitioners of complementary and alternative medicine (CAM); however, the dimensionality of the instrument is not well understood. The aim of the current research was to examine the psychometric properties of the attitudes, skills, and use subscales of EBASE.

Design: This was a secondary analysis of data obtained from the administration of EBASE. Data were examined using principal components analyses and confirmatory methods. Internal consistency reliabilities of resultant subscales were also computed.

Participants: 1314 U.S. chiropractors and 554 Canadian chiropractors.

Results: A unidimensional structure best fit the attitudes and use subscales. Skills subscale items were best represented by subscales with a multidimensional structure. Specifically, the skills construct was best modeled with three dimensions (identification of the research question, locating research, and application of EBP). All subscales had acceptable internal consistency reliability estimates.

Conclusions: The findings support the modification of the scoring guidelines for the original EBASE. These changes are likely to result in a more accurate measure of EBP attitudes, skills, and use among chiropractors, and possibly CAM providers more generally.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Attitude of Health Personnel*
  • Canada
  • Cross-Sectional Studies
  • Evidence-Based Practice / statistics & numerical data*
  • Female
  • Health Personnel / psychology*
  • Health Personnel / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Principal Component Analysis
  • Psychometrics*
  • Surveys and Questionnaires
  • United States