J Korean Acad Nurs.  2023 Feb;53(1):12-27. 10.4040/jkan.22090.

Development and Psychometric Evaluation of the Ischemic Stroke Distress Scale (ISDS)

Affiliations
  • 1Neuro Intensive Care Unit, The Catholic University of Korea, Seoul Saint Mary’s Hospital, Seoul, Korea
  • 2College of Nursing, The Catholic University of Korea, Seoul, Korea

Abstract

Purpose
This study aimed to develop a scale to measure distress in patients with ischemic stroke and verify its validity and reliability.
Methods
Preliminary items were developed from literature review and in-depth interviews. The final preliminary scale was confirmed through a content validity test of eight experts and a preliminary survey of 10 stroke patients. The participants for psychometric testing were 305 stroke patients in the outpatient clinic. Validity and reliability analyses included item analysis, exploratory and confirmatory factor analysis, convergent validity, known-group validity, and internal consistency of the scale.
Results
The final scale consisted of 17 items and 3 factors. The three distinct factors were ‘self-deprecation, worry about future health, and withdrawal from society’ and this structure was validated using a confirmatory factor analysis. Convergent validity was supported by comparison with the Center for Epidemiologic Studies Depression Scale (r = .54, p < .001) and Brief Illness Perception Questionnaire (r = .67, p < .001). Known-groups validity was verified by dividing groups according to ‘duration since diagnosis’ (t = 2.65, p = .009), ‘presence of sequela’ (t = 10.16, p < .001), and ‘awareness of distress’ (t = 12.09, p < .001). The internal consistency of the scale using Cronbach’s α for the total items was .93.
Conclusion
The Ischemic Stroke Distress Scale is a valid and reliable tool that reflects stroke distress effectively. It is expected to be used as a basic tool to develop various intervention strategies to reduce distress in ischemic stroke patients.

Keyword

Stroke; Psychological Distress; Psychometrics; Factor Analysis; Statistical
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