OBJECTIVES: To determine how unmet needs for activity of daily living tasks influenced nursing home placement, death, or loss to follow-up in dementia. DESIGN: An 18-month longitudinal design, with interviews administered every 6 months. SETTING: Eight catchment areas in the United States. PARTICIPANTS: Five thousand eight hundred thirty-one dementia patients and their caregivers were included at baseline. MEASUREMENTS: Measures of sociodemographic context of care; functional, cognitive, and behavioral status of care recipients; caregiver stress and well-being; and formal and informal resources served as covariates. The independent variables of interest were unweighted unmet care need scores and unmet need scores weighted by importance and severity in a prior sample of older consumers of long-term care. Outcomes included nursing home placement, death, and loss to follow-up. RESULTS: Cox regression models suggested that greater unmet need was predictive of nursing home placement, death, and loss to follow-up. These results were apparent when the unweighted and the weighted scores for unmet need with activity of daily living dependencies were used. CONCLUSION: Unmet need may be useful in identifying dementia care recipients at risk for nursing home placement and death. Further study of unmet need is needed to effectively assess and target intervention protocols during the course of dementia.
OBJECTIVES: To determine how unmet needs for activity of daily living tasks influenced nursing home placement, death, or loss to follow-up in dementia. DESIGN: An 18-month longitudinal design, with interviews administered every 6 months. SETTING: Eight catchment areas in the United States. PARTICIPANTS: Five thousand eight hundred thirty-one dementiapatients and their caregivers were included at baseline. MEASUREMENTS: Measures of sociodemographic context of care; functional, cognitive, and behavioral status of care recipients; caregiver stress and well-being; and formal and informal resources served as covariates. The independent variables of interest were unweighted unmet care need scores and unmet need scores weighted by importance and severity in a prior sample of older consumers of long-term care. Outcomes included nursing home placement, death, and loss to follow-up. RESULTS: Cox regression models suggested that greater unmet need was predictive of nursing home placement, death, and loss to follow-up. These results were apparent when the unweighted and the weighted scores for unmet need with activity of daily living dependencies were used. CONCLUSION: Unmet need may be useful in identifying dementia care recipients at risk for nursing home placement and death. Further study of unmet need is needed to effectively assess and target intervention protocols during the course of dementia.
Authors: Shuang He; Bruce A Craig; Huiping Xu; Kenneth E Covinsky; Eric Stallard; Joseph Thomas; Zach Hass; Laura P Sands Journal: J Gerontol A Biol Sci Med Sci Date: 2015-04-01 Impact factor: 6.053
Authors: Quincy M Samus; Deirdre Johnston; Betty S Black; Edward Hess; Christopher Lyman; Amrita Vavilikolanu; Jane Pollutra; Jeannie-Marie Leoutsakos; Laura N Gitlin; Peter V Rabins; Constantine G Lyketsos Journal: Am J Geriatr Psychiatry Date: 2014-01-04 Impact factor: 4.105
Authors: Jeremy A Tanner; Betty S Black; Deirdre Johnston; Edward Hess; Jeannie-Marie Leoutsakos; Laura N Gitlin; Peter V Rabins; Constantine G Lyketsos; Quincy M Samus Journal: Am J Geriatr Psychiatry Date: 2014-08-13 Impact factor: 4.105
Authors: Christine Stirling; Sharon Andrews; Toby Croft; James Vickers; Paul Turner; Andrew Robinson Journal: BMC Health Serv Res Date: 2010-05-13 Impact factor: 2.655
Authors: Claudia Miranda-Castillo; Bob Woods; Kumari Galboda; Sabu Oomman; Charles Olojugba; Martin Orrell Journal: Health Qual Life Outcomes Date: 2010-11-12 Impact factor: 3.186