4.5 Article

Yearly transitions of disability profiles in older people living at home

期刊

ARCHIVES OF GERONTOLOGY AND GERIATRICS
卷 55, 期 2, 页码 399-405

出版社

ELSEVIER IRELAND LTD
DOI: 10.1016/j.archger.2011.12.007

关键词

Disability profiles; Case-mix classification; Transition; Service planning; Aged; Longitudinal

资金

  1. Canadian Institutes of Health Research
  2. Quebec's Ministry of Health and Social Services
  3. Estrie Regional Health and Social Services Agency
  4. Universite de Sherbrooke
  5. FORMSAV network

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Purpose: Planning home services for older people requires extensive knowledge about the progression of disabilities. Disability-based case-mix classifications identify meaningful groups of older people; yet transitions between profiles are mostly unknown. Methods: Disability was assessed annually over four years with the Functional Autonomy Measurement System (SMAF) in 1410 older people at risk of functional decline aged 75 and over and living at home. The SMAF generates a case-mix classification of 14 Iso-SMAF profiles with progressive mean disability levels. Transitions made by older people were analyzed using a continuous-time, multi-state Markov model to estimate the probabilities of annual transitions into and out of each profile as well as the mean sojourn time in each profile. Results: The probability of staying in a profile tended to decrease as profile severity increased. For profiles 5 and above, recovery to mild profiles 1, 2 and 3 was low, while annual probabilities of death and institutionalization were high (>0.10). The lower disability profiles (1 and 2) evidenced a mean profile sojourn time of over two years, contrary to sojourn times of 18 months or less with the other profiles. Conclusions: The probabilities are identifiable, indicating that a disability-based classification can characterize progression in older people. Since the required resources and costs are known for each profile, these probabilities are very helpful in planning home services for elderly populations. (C) 2011 Elsevier Ireland Ltd. All rights reserved.

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