Developing post-stroke psychometric properties for an Adherence to rehabilitation regimen scale: A sequential exploratory mixed-method study

J Vasc Nurs. 2023 Dec;41(4):219-225. doi: 10.1016/j.jvn.2023.09.001. Epub 2023 Oct 14.

Abstract

Introduction: Adherence to rehabilitation in patients post-stroke plays a significant role in the effectiveness of rehabilitation and patient recovery. This study aimed to design and determine the psychometric properties of a scale for measuring adherence to the rehabilitation regimen in patients post-stroke in the Iranian community.

Methods: The present study used a sequential exploratory mixed method and was conducted in two phases (phase one qualitative and phase two quantitative). Participants in the first phase were patients post-stroke, caregivers, and rehabilitation team members (n=20). The second phase was conducted on patients post-stroke (n=198), and the psychometric steps, including face, content, and construct validity, as well as reliability, were assessed.

Results: The Adherence to Rehabilitation Regimen Scale (ARRS)was designed with 26 items and four factors of participation: 1) physical exercises, 2) following prescribed regimens, 3) performing the activities of daily living, and 4) psychological follow-up. The internal consistency was 0.96 by calculating Cronbach's alpha coefficient. The Interclass Correlation Coefficient was 0.99 with a confidence interval of 0.96-0.99.

Conclusion: The scale measuring adherence to the rehabilitation regimen in patients post-stroke has optimal psychometric properties. Therefore, as the first specific scale to measure the degree of rehabilitation regimen adherence in patients post-stroke, this tool may be beneficial for other rehabilitation programs interested in managing and improving program adherence.

Keywords: Adherence; Factor analysis; Psychometrics; Rehabilitation; Stroke.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Activities of Daily Living*
  • Humans
  • Iran
  • Psychometrics / methods
  • Reproducibility of Results
  • Stroke*
  • Surveys and Questionnaires