Abstract
Background
Long-term costs often represent a large proportion of the total costs induced by stroke, but data on long-term poststroke resource use are sparse, especially regarding the trajectory of costs by severity. We used a multinational longitudinal survey to estimate patterns of poststroke resource use by degree of functional disability and to compare resource use between regions.
Methods
The Survey of Health, Ageing and Retirement in Europe (SHARE) is a multinational database of adults 50 years and older, which includes demographic information about respondents, age when stroke first occurred, current activity of daily living (ADL) limitations, and health care resource use in the year before interview. We modeled resource use with a 2-part regression for number of hospital days, home nursing hours, and paid and unpaid home caregiving hours.
Long-term costs often represent a large proportion of the total costs induced by stroke, but data on long-term poststroke resource use are sparse, especially regarding the trajectory of costs by severity. We used a multinational longitudinal survey to estimate patterns of poststroke resource use by degree of functional disability and to compare resource use between regions.
Methods
The Survey of Health, Ageing and Retirement in Europe (SHARE) is a multinational database of adults 50 years and older, which includes demographic information about respondents, age when stroke first occurred, current activity of daily living (ADL) limitations, and health care resource use in the year before interview. We modeled resource use with a 2-part regression for number of hospital days, home nursing hours, and paid and unpaid home caregiving hours.
Originalsprache | Englisch |
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Seiten (von - bis) | 2256 - 2262 |
Fachzeitschrift | Journal of Stroke and Cerebrovascular Diseases |
Jahrgang | 24 |
Ausgabenummer | 10 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2015 |