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. 2012 Apr;21(3):417-26.
doi: 10.1007/s11136-011-9968-6. Epub 2011 Jul 12.

Developing a model of participation post-stroke: a mixed-methods approach

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Developing a model of participation post-stroke: a mixed-methods approach

Ruth Barclay-Goddard et al. Qual Life Res. 2012 Apr.

Abstract

Purpose: To develop and verify a model of participation post stroke, as a domain of health related quality of life.

Methods: An explanatory sequential mixed-methods design was selected. The quantitative phase developed a participation model with data from an observational study of 453 participants at 12 months post-stroke, using structural equation modeling. The qualitative phase followed to verify the model from the perspective of individuals post-stroke. Data was collected from two groups of eight stroke survivors involved in a multicentre trial about participation in the community. Individuals took photographs to describe participation; discussion of photographs was conducted over the course of three focus groups, and analysis identified emergent categories related to the model.

Results: The 12-month post stroke participation model consisted of latent variables: accomplishment, restricted roles, and health efficacy. The model fit was reasonable: normed χ(2) = 2.95, RMSEA = 0.066(0.052; 0.079). The qualitative data verified the model; participants initiated photo-taking and discussion of all aspects of the model. Concepts of social support, environment, and cognitive difficulties were also discussed in relation to participation.

Conclusions: The participation model was developed and verified. Additions to future models are suggested. Theoretical, clinical, and research implications are discussed.

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Figures

Fig. 1
Fig. 1
Participation model—12 months. χ2 = 118.13, df = 40, P = 0.0000, normed χ2 = 2.95, RMSEA = 0.066 (0.052; 0.079). Standardized model shown. Negative correlations reflect the measures PBSI and the EQ5D, where the highest score is the worse health condition. SF-36 Short Form 36, SIS Stroke Impact Scale, PBSI Preference Based Stroke Index, EQ5D EuroQol 5 dimensions
Fig. 2
Fig. 2
Representative photos
Fig. 3
Fig. 3
Participation model—suggested additions based on qualitative component. Dotted lines represent additions to the model

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