Abstract
Purpose: Self-management ability is commonly assessed in chronic disease research and clinical practice. The purpose of this study was to assess the structural and convergent validity of three commonly used self-management outcome measures in a sample of persons with neurological conditions. Methods: We used data from a Canadian survey of persons with neurological conditions, which included three commonly used self-management measures: the Partners in Health Scale (PIH), the Patient Activation Measure (PAM), and the Self-Efficacy for Managing a Chronic Disease Scale (SEMCD). Confirmatory factor analysis was used to assess the structural and convergent validity of the three measures. Results: When treated as single-factor constructs, none of the measurement models provided a good fit to the data. A four-domain version of the PIH was the best fitting model. Confirmatory factor analysis suggests that the three tools measure different, but correlated constructs. Conclusions: While the PAM, PIH and SEMCD scales are all used as measures of patient self-management, our study indicates that they measure different, but correlated latent variables. None, when treated as single, uni-dimensional construct, provides an acceptable fit to our data. This is probably because self-management is multi-dimensional, as is consistently shown by qualitative evidence. While these measures may provide reliable summative measures, multi-dimensional scales are needed for clinical use and more detailed research on self-management.
Original language | English |
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Pages (from-to) | 545-556 |
Number of pages | 12 |
Journal | Quality of Life Research |
Volume | 28 |
Issue number | 2 |
DOIs | |
Publication status | Published - Feb 15 2019 |
Bibliographical note
Funding Information:Funding The funding was provided by Public Health Agency of Canada, Nova Scotia Health Research Foundation (Grant No. PSO-DI-2015-10083), Institute of Health Services and Policy Research.
Publisher Copyright:
© 2018, Springer Nature Switzerland AG.
ASJC Scopus Subject Areas
- Public Health, Environmental and Occupational Health
PubMed: MeSH publication types
- Journal Article