Factors associated with transition to a nursing home in older adults living in naturally occurring retirement communities

Author:

Sheth Maya S.123,Rochon Paula A.12456ORCID,Altaf Azmina4,Boblitz Alexa4ORCID,Bronskill Susan E.23457ORCID,Brown Kevin A.38,Hahn‐Goldberg Shoshana910,Huynh Tai9,Lewis‐Fung Samantha E.9,Feng Patrick5,Savage Rachel D.1245ORCID

Affiliation:

1. Women's Age Lab Women's College Hospital Toronto Ontario Canada

2. Women's College Research Institute Women's College Hospital Toronto Ontario Canada

3. Dalla Lana School of Public Health University of Toronto Toronto Ontario Canada

4. ICES Toronto Ontario Canada

5. Institute of Health Policy, Management and Evaluation University of Toronto Toronto Ontario Canada

6. Division of Geriatric Medicine, Department of Medicine University of Toronto Toronto Ontario Canada

7. Sunnybrook Research Institute Sunnybrook Health Sciences Centre Toronto Ontario Canada

8. Public Health Ontario Toronto Ontario Canada

9. NORC Innovation Centre University Health Network Toronto Ontario Canada

10. Leslie Dan Faculty of Pharmacy University of Toronto Toronto Ontario Canada

Abstract

AbstractBackgroundNaturally occurring retirement communities (NORCs) are geographic areas (generally high‐rise buildings or neighborhoods) that have a high concentration of individuals 65 years and older. Supportive service programs in NORCs can address resident needs and delay nursing home (NH) admission but understanding what factors are associated with NORC residents requiring NH admission is needed to tailor such programs. Our aim was to examine individual‐ and neighborhood‐level factors associated with NH wait‐list status in NORC residents in Ontario.MethodsWe conducted a population‐based, cross‐sectional study of Ontario adults 65 years of age or older living in a NORC building as of January 1, 2020, by linking a provincial registry of NORC high‐rise buildings with health administrative data. Older adults were classified as being on the NH wait‐list if they had an open application for a NH on the index date. We conducted a multilevel logistic regression analysis using generalized estimating equations to determine individual‐ and neighborhood‐level factors associated with NH wait‐list status, including sociodemographic, clinical, healthcare use, and building factors. We explored the role of sex and age through stratification by sex (male, female) and age (65–80 and 80+ years).ResultsAmong 220,864 NORC residents, 4710 individuals (2.1%) were on the NH wait‐list. Female sex, older age, immigrant status, dementia diagnosis, receiving homecare, multimorbidity, and polypharmacy (five or more unique drug names) were associated with an increased odds of wait‐list status. Several neighborhood‐level variables were associated with a significantly increased likelihood of wait‐list status, including low income, high dependency, high ethnic diversity, and living in a building with supports.ConclusionNORC supportive service programs can be tailored to account for the factors associated with NH wait‐list status, allowing NORC residents who are living in the community to age in their desired place and achieve optimal health outcomes.

Funder

Canadian Institutes of Health Research

Publisher

Wiley

Reference39 articles.

1. Health Quality Ontario.Quality monitor. 2012. Accessed January 30 2023.http://www.hqontario.ca/portals/0/documents/pr/qmonitor-full-report-2012-en.pdf

2. Health Quality Ontario.Wait times for long‐term care homes. Health Quality Ontario. 2023Accessed January 31 2023.https://www.hqontario.ca/system‐performance/Long‐Term‐Care‐Home‐Performance/Wait‐Times

3. National Institute on Ageing.Pandemic perspectives on long‐term care: insights from Canadians in light of COVID‐19. 2021. Accessed January 31 2023.https://www.cma.ca/sites/default/files/pdf/Activities/National-Institute-on-Ageing-CMA-Report-EN.pdf

4. Canadian Institute for Health Information. 1 in 9 new long‐term care residents potentially could have been cared for at home. 2020. Accessed January 30 2023.https://www.cihi.ca/en/1-in-9-new-long-term-care-residents-potentially-could-have-been-cared-for-at-home

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