Time spent on health-related activities by senior Australians with XXXX : what is the role of multimorbidity and comorbidity?

@entity1 @entity308 @entity6 @entity102
OBJECTIVE: To examine the effect of various morbidity clusters of @entity102 on health-related time use and to explore factors associated with heavy time burden (more than 30 hours/month) of health-related activities. METHODS: Using a national survey, data were collected from 2,540 senior Australians. Natural clusters were identified using cluster analysis and clinical clusters using clinical expert opinion. We undertook a set of linear regressions to model @entity1 's time use, and logistic regressions to model heavy time burden. RESULTS: Time use increases with the number of @entity102 . Six of the 12 diseases are significantly associated with higher time use, with the highest effect for @entity6 followed by @entity308 ; 18% reported a heavy time burden, with @entity6 again being the most significant disease. Clusters and dominant comorbid groupings do not contribute to predicting time use or time burden. CONCLUSIONS: Total number of diseases and specific diseases are useful determinants of time use and heavy time burden. Dominant groupings and disease clusters do not predict time use. IMPLICATIONS: In considering time demands on @entity1 and the need for care co-ordination, care providers need to be aware of how many and what specific diseases the @entity1 faces.
