Literature DB >> 19716066

Factors associated with permanent transition from independent living to nursing home in a continuing care retirement community.

Yuchi Young1.   

Abstract

OBJECTIVE: Identify risk factors for and time to permanent transition from independent living units to nursing home among residents in a continuing care retirement community (CCRC).
METHODS: Prospective cohort study (n=298) among residents at least 75 years of age living independently at baseline. Proportional hazard regression identified risk factors associated with permanent transition from sociodemographic and health status data.
RESULTS: During the 3-year follow-up, 11% of the subjects were permanently transferred. Predictive factors were depression (relative risk [RR] 3.9; 95% CI 1.5-9.8), incontinence (RR 3.8; 95% CI 1.3-11.4), impaired cognition (RR 3.6; 95% CI 1.1-11.3), and dependence on activities of daily living disability (RR 1.5; 95% CI 1.3-1.8). Compared with those with no risk factors, presence of all 4 increased the relative risk to 74-fold and shortened the time to permanent transition by 32 months.
CONCLUSION: Prevention and treatment for depression, incontinence, and programs to improve or maintain cognitive function and ability to perform activities of daily living among CCRC residents may prolong their independent living life.

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Year:  2009        PMID: 19716066     DOI: 10.1016/j.jamda.2009.03.019

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  4 in total

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2.  Factors Associated With Changes in Perceived Quality of Life Among Elderly Recipients of Long-Term Services and Supports.

Authors:  Mary D Naylor; Karen B Hirschman; Alexandra L Hanlon; Katherine M Abbott; Kathryn H Bowles; Janice Foust; Shivani Shah; Cynthia Zubritsky
Journal:  J Am Med Dir Assoc       Date:  2015-09-26       Impact factor: 4.669

3.  Needs of older persons living in long-term care institutions: on the usefulness of cluster approach.

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Journal:  BMC Geriatr       Date:  2021-05-17       Impact factor: 3.921

4.  How well does the minimum data set measure healthcare use? a validation study.

Authors:  Malcolm B Doupe; Jeff Poss; Peter G Norton; Allan Garland; Natalia Dik; Shauna Zinnick; Lisa M Lix
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  4 in total

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