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Centre for Policy on Ageing | |
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Projected use of long-term care services by enrolled veterans | Author(s) | Bruce Kinosian, Eric Stallard, Darryl Wieland |
Journal title | The Gerontologist, vol 47, no 3, June 2007 |
Pages | pp 356-364 |
Source | http://www.geron.org |
Keywords | Nursing homes ; Domiciliary services ; Community care ; Long term ; Usage [services] ; Social surveys ; United States of America. |
Annotation | A static-component projection model using age, function and other covariates was constructed. Enrollee projections were obtained from the Veterans Health Administration (VHA) and were combined with nursing home and community long-term care service use rates from the 1999 National Long-Term Care Survey and the 2000 National Health Interview Survey. In the US over the next decade, the number of oldest veterans (aged 85+) will increase sevenfold. This will result in a 20%-25% increase in use for both nursing home and home- and community-based services. VHA currently concentrates 90% of long-term care resources on nursing home care. However, among those who received long-term care from all formal sources, 56% receive care in the community. Age and marital status are significant predictors of use of either types of formal long-term care service for any given level of disability. VHA's experience with the mandatory nursing home benefit suggests that even when the cost to the veteran is near zero, only 60-65% of eligibles will choose VHA-provided care. Assisted living represents nearly 15% of care provided during the past decade to individuals in nursing homes, and around 19% of veterans using nursing homes have disability levels comparable to those of men in supported living. As most of the increased projected use for long-term care will be for home- and community-based services, VHA will need to expand these resources. Use of VHA resources to leverage community services may offer new opportunities to enhance community-based long-term care. (RH). |
Accession Number | CPA-080402212 A |
Classmark | LHB: N: PA: 4Q: QLD: 3F: 7T |
Data © Centre for Policy on Ageing |
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...from the Ageinfo database published by Centre for Policy on Ageing. |
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