Time spent on health‐related activities by senior Australians with chronic diseases: what is the role of multimorbidity and comorbidity?
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 se...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2015-06-01
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| Series: | Australian and New Zealand Journal of Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/1753-6405.12355 |
| _version_ | 1797713435378581504 |
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| author | M. Mofizul Islam Ian S. McRae Laurann Yen Tanisha Jowsey Jose M. Valderas |
| author_facet | M. Mofizul Islam Ian S. McRae Laurann Yen Tanisha Jowsey Jose M. Valderas |
| author_sort | M. Mofizul Islam |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-12T07:36:32Z |
| format | Article |
| id | doaj.art-a73c2bd95e294238ac515aa40a2b5d88 |
| institution | Directory Open Access Journal |
| issn | 1326-0200 1753-6405 |
| language | English |
| last_indexed | 2024-03-12T07:36:32Z |
| publishDate | 2015-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Australian and New Zealand Journal of Public Health |
| spelling | doaj.art-a73c2bd95e294238ac515aa40a2b5d882023-09-02T21:29:48ZengElsevierAustralian and New Zealand Journal of Public Health1326-02001753-64052015-06-0139327728310.1111/1753-6405.12355Time spent on health‐related activities by senior Australians with chronic diseases: what is the role of multimorbidity and comorbidity?M. Mofizul Islam0Ian S. McRae1Laurann Yen2Tanisha Jowsey3Jose M. Valderas4Australian Primary Health Care Research Institute Australian National University, Australian Capital TerritoryAustralian Primary Health Care Research Institute Australian National University, Australian Capital TerritoryAustralian Primary Health Care Research Institute Australian National University, Australian Capital TerritoryAustralian Primary Health Care Research Institute Australian National University, Australian Capital TerritoryHealth Services and Policy Research University of Exeter Medical School England UKAbstract 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.https://doi.org/10.1111/1753-6405.12355timemultimorbiditycomorbiditydisease clusterself‐managementchronic illness |
| spellingShingle | M. Mofizul Islam Ian S. McRae Laurann Yen Tanisha Jowsey Jose M. Valderas Time spent on health‐related activities by senior Australians with chronic diseases: what is the role of multimorbidity and comorbidity? Australian and New Zealand Journal of Public Health time multimorbidity comorbidity disease cluster self‐management chronic illness |
| title | Time spent on health‐related activities by senior Australians with chronic diseases: what is the role of multimorbidity and comorbidity? |
| title_full | Time spent on health‐related activities by senior Australians with chronic diseases: what is the role of multimorbidity and comorbidity? |
| title_fullStr | Time spent on health‐related activities by senior Australians with chronic diseases: what is the role of multimorbidity and comorbidity? |
| title_full_unstemmed | Time spent on health‐related activities by senior Australians with chronic diseases: what is the role of multimorbidity and comorbidity? |
| title_short | Time spent on health‐related activities by senior Australians with chronic diseases: what is the role of multimorbidity and comorbidity? |
| title_sort | time spent on health related activities by senior australians with chronic diseases what is the role of multimorbidity and comorbidity |
| topic | time multimorbidity comorbidity disease cluster self‐management chronic illness |
| url | https://doi.org/10.1111/1753-6405.12355 |
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