Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Internal consistency reliability of the Revised Illness Perceptions Questionnaire: A systematic review and reliability generalization meta-analysis

Authors
Rivera, EleanorLevoy, KristinPark, ChangVillalobos, AzucenaMartin, PaigeKim, Min JungHirschman, 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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Min Jung photo

Kim, Min Jung
Nursing (Dept.of Nursing)
Read more

Altmetrics

Total Views & Downloads

BROWSE