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Study and cluster characteristics
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Study and cluster characteristics

Journal: Research in nursing & health

Article Title: A systematic review of illness representation clusters in chronic conditions

doi: 10.1002/nur.22013

Figure Lengend Snippet: Study and cluster characteristics

Article Snippet: Aujla et al. (2018) , Post-stroke; United Kingdom; n = 44; age 66.9 (±14.5); 32% female , Disability (NEADL), mood (PHQ-9), quality of life (EQ-5D-5L) [longitudinal] , STATA version 13.0 Cluster analysis Hierarchical agglomerative cluster analysis (Ward’s method) Partitioned into clusters using ((-medians , Three clusters Low adjusters (30%) a Moderate adjusters (25%) High adjusters (45%) a , High adjusters were older, more educated, and more likely to have a previous stroke Low adjusters were more likely to have had a severe stroke, and worse quality of life, mood, and disability during stroke recovery , Strengths: longitudinal design, performed a priori power calculations, reliability and validity of variables reported Quality rating: 8.13 (high).

Techniques: Standard Deviation, Functional Assay, Software, Activity Assay