Internal consistency reliability of the Revised Illness Perceptions Questionnaire: A systematic review and reliability generalization meta-analysis
- Authors
- Rivera, Eleanor; Levoy, Kristin; Park, Chang; Villalobos, Azucena; Martin, Paige; Kim, Min Jung; Hirschman, Karen B.
- Issue Date
- Jun-2024
- Publisher
- SAGE PUBLICATIONS LTD
- Keywords
- chronic disease; illness perception; illness representation; meta-analysis; reliability
- Citation
- JOURNAL OF HEALTH PSYCHOLOGY, v.29, no.7, pp 734 - 746
- Pages
- 13
- Journal Title
- JOURNAL OF HEALTH PSYCHOLOGY
- Volume
- 29
- Number
- 7
- Start Page
- 734
- End Page
- 746
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/91461
- DOI
- 10.1177/13591053231221351
- ISSN
- 1359-1053
1461-7277
- Abstract
- The Revised Illness Perception Questionnaire (IPQ-R) assesses patients' perspectives of their illnesses. Original psychometric testing occurred in limited populations. The purpose of this reliability generalization meta-analysis was to: (1) estimate internal consistency reliability of each IPQ-R subscale, and (2) test moderators of these estimates. Web of Science was searched in July 2022 for articles citing the original IPQ-R paper that reported IPQ-R reliability data. Cronbach's alphas (alpha) were pooled for each IPQ-R subscale using inverse variance weighting and DerSimonian and Laird estimation. Sixty-six studies met criteria. Overall pooled alpha estimates were acceptable: 0.71-0.87. Treatment control reliability was reduced among cardiac (alpha = 0.68), diabetes/kidney disease (alpha = 0.63), and mixed/other (alpha = 0.66) samples; cyclical reliability was reduced in cancer (alpha = 0.65) samples. Age, gender, and race were also significant moderators. Subscale reliability varied based on sample characteristics. Adapting IPQ-R subscales to account for sample variation could improve measurement of illness perception constructs.
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