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The structural and convergent validity of three commonly used measures of self-management in persons with neurological conditions
The structural and convergent validity of three commonly used measures of self-management in persons with neurological conditions
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The structural and convergent validity of three commonly used measures of self-management in persons with neurological conditions
The structural and convergent validity of three commonly used measures of self-management in persons with neurological conditions

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The structural and convergent validity of three commonly used measures of self-management in persons with neurological conditions
The structural and convergent validity of three commonly used measures of self-management in persons with neurological conditions
Journal Article

The structural and convergent validity of three commonly used measures of self-management in persons with neurological conditions

2019
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Overview
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.

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