dc.contributor.author | Islam, MM | |
dc.contributor.author | McRae, IS | |
dc.contributor.author | Yen, L | |
dc.contributor.author | Jowsey, T | |
dc.contributor.author | Valderas, JM | |
dc.date.accessioned | 2018-05-31T09:24:53Z | |
dc.date.issued | 2015-04-22 | |
dc.description.abstract | OBJECTIVE: To examine the effect of various morbidity clusters of chronic diseases 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 people's time use, and logistic regressions to model heavy time burden. RESULTS: Time use increases with the number of chronic diseases. Six of the 12 diseases are significantly associated with higher time use, with the highest effect for diabetes followed by depression; 18% reported a heavy time burden, with diabetes 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 patients and the need for care co-ordination, care providers need to be aware of how many and what specific diseases the patient faces. | en_GB |
dc.description.sponsorship | The Serious and Continuing Illnesses Policy and Practice Study (SCIPPS) is an NHMRC-funded program conducted at The Australian National University and the University of Sydney and administered by the Menzies Centre for Health Policy. | en_GB |
dc.identifier.citation | Vol. 39, pp. 277 - 283 | en_GB |
dc.identifier.doi | 10.1111/1753-6405.12355 | |
dc.identifier.uri | http://hdl.handle.net/10871/33030 | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/25903449 | en_GB |
dc.rights | © 2015 Public Health Association of Australia | en_GB |
dc.subject | behaviour | en_GB |
dc.subject | chronic illness | en_GB |
dc.subject | comorbidity | en_GB |
dc.subject | disease cluster | en_GB |
dc.subject | health practice | en_GB |
dc.subject | multimorbidity | en_GB |
dc.subject | self-management | en_GB |
dc.subject | time | en_GB |
dc.subject | Activities of Daily Living | en_GB |
dc.subject | Adult | en_GB |
dc.subject | Aged | en_GB |
dc.subject | Australia | en_GB |
dc.subject | Chronic Disease | en_GB |
dc.subject | Cluster Analysis | en_GB |
dc.subject | Comorbidity | en_GB |
dc.subject | Cost of Illness | en_GB |
dc.subject | Female | en_GB |
dc.subject | Health Surveys | en_GB |
dc.subject | Humans | en_GB |
dc.subject | Logistic Models | en_GB |
dc.subject | Male | en_GB |
dc.subject | Middle Aged | en_GB |
dc.subject | Patient Acceptance of Health Care | en_GB |
dc.subject | Regression Analysis | en_GB |
dc.subject | Sickness Impact Profile | en_GB |
dc.subject | Surveys and Questionnaires | en_GB |
dc.subject | Time | en_GB |
dc.title | Time spent on health-related activities by senior Australians with chronic diseases: what is the role of multimorbidity and comorbidity? | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2018-05-31T09:24:53Z | |
dc.identifier.issn | 1326-0200 | |
exeter.place-of-publication | Australia | en_GB |
dc.description | This is the final version of the article. Available from the publisher via the DOI in this record. | en_GB |
dc.identifier.journal | Australian and New Zealand Journal of Public Health | en_GB |