Factors Associated With Assisted Living Facility Closure.


Journal

The Gerontologist
ISSN: 1758-5341
Titre abrégé: Gerontologist
Pays: United States
ID NLM: 0375327

Informations de publication

Date de publication:
09 Feb 2022
Historique:
received: 02 04 2021
pubmed: 28 7 2021
medline: 15 3 2022
entrez: 27 7 2021
Statut: ppublish

Résumé

Assisted living facilities (ALFs) have experienced rapid growth in the past few decades. The expansion in the number of ALFs may cause markets to become oversaturated, and a greater risk of unprofitable ALFs to close. However, no studies have investigated ALF closure. This study adapted a model developed for the nursing home market for the ALF market to examine the organizational, internal, and external factors associated with closure. Data on 1,939 ALFs operating in 2013 from Florida were used to estimate a logistic regression to examine the organizational, internal, and external factors that were associated with closure between 2013 and 2015. During the 2-year study period, 141 ALFs (7.3%) closed. Significant factors associated with increased odds of closure included fewer beds, not accepting Medicaid, and more deficiencies. Two factors (market concentration and population density) were marginally significant. The results of this study confirm the usefulness of a model that includes organizational, internal, and external factors to predict ALF closure. These outcomes highlight the concerns that closure can affect access to community-based long-term care, especially for rural older adults, and indicate an expansion of Medicaid acceptance in ALFs could be protective against closure.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
Assisted living facilities (ALFs) have experienced rapid growth in the past few decades. The expansion in the number of ALFs may cause markets to become oversaturated, and a greater risk of unprofitable ALFs to close. However, no studies have investigated ALF closure. This study adapted a model developed for the nursing home market for the ALF market to examine the organizational, internal, and external factors associated with closure.
RESEARCH DESIGN AND METHODS METHODS
Data on 1,939 ALFs operating in 2013 from Florida were used to estimate a logistic regression to examine the organizational, internal, and external factors that were associated with closure between 2013 and 2015.
RESULTS RESULTS
During the 2-year study period, 141 ALFs (7.3%) closed. Significant factors associated with increased odds of closure included fewer beds, not accepting Medicaid, and more deficiencies. Two factors (market concentration and population density) were marginally significant.
DISCUSSION AND IMPLICATIONS CONCLUSIONS
The results of this study confirm the usefulness of a model that includes organizational, internal, and external factors to predict ALF closure. These outcomes highlight the concerns that closure can affect access to community-based long-term care, especially for rural older adults, and indicate an expansion of Medicaid acceptance in ALFs could be protective against closure.

Identifiants

pubmed: 34314487
pii: 6329095
doi: 10.1093/geront/gnab105
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

181-189

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Joseph W June (JW)

School of Aging Studies, University of South Florida, Tampa, Florida, USA.
Florida Policy Exchange Center on Aging, University of South Florida, Tampa, Florida, USA.

Debra Dobbs (D)

School of Aging Studies, University of South Florida, Tampa, Florida, USA.
Florida Policy Exchange Center on Aging, University of South Florida, Tampa, Florida, USA.

Victor Molinari (V)

School of Aging Studies, University of South Florida, Tampa, Florida, USA.

Hongdao Meng (H)

School of Aging Studies, University of South Florida, Tampa, Florida, USA.
Florida Policy Exchange Center on Aging, University of South Florida, Tampa, Florida, USA.

John R Bowblis (JR)

Farmer School of Business, Miami University, Oxford, Ohio, USA.
Scripps Gerontology Center, Miami University, Oxford, Ohio, USA.

Kathryn Hyer (K)

School of Aging Studies, University of South Florida, Tampa, Florida, USA.
Florida Policy Exchange Center on Aging, University of South Florida, Tampa, Florida, USA.

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