Understanding Nursing Home Spending And Staff Levels In The Context Of Recent Nursing Staff Recommendations.


Journal

Health affairs (Project Hope)
ISSN: 1544-5208
Titre abrégé: Health Aff (Millwood)
Pays: United States
ID NLM: 8303128

Informations de publication

Date de publication:
02 2023
Historique:
entrez: 6 2 2023
pubmed: 7 2 2023
medline: 9 2 2023
Statut: ppublish

Résumé

To provide context for evaluating proposed nursing home staff regulations, we examined the proportion of facility revenues spent on nursing staff, as well as nursing staff levels in hours worked and paid per resident day, in 2019. Nationally, the median proportion of revenues spent on nursing staff was 33.9 percent, and median nursing staff levels were 3.67 hours worked and 4.08 hours paid per resident day. Facilities with higher shares of Medicaid residents spent a larger share of revenues on nursing staff but had lower staffing levels. States varied significantly with respect to median spending on nursing staff (26.8-44.0 percent of revenues) and median nursing staff levels (3.2-5.6 hours worked and 3.6-5.7 hours paid per resident day). These findings indicate that raising the proportion of revenues spent by nursing homes on nursing staff to a regulated minimum would not guarantee the achievement of adequate nursing staff levels unless it was paired with other regulatory mechanisms.

Identifiants

pubmed: 36745835
doi: 10.1377/hlthaff.2022.00692
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

197-206

Subventions

Organisme : NIA NIH HHS
ID : P30 AG024832
Pays : United States

Auteurs

John R Bowblis (JR)

John R. Bowblis (jbowblis@miamiOH.edu), Miami University, Oxford, Ohio.

Christopher S Brunt (CS)

Christopher S. Brunt, Georgia Southern University, Statesboro, Georgia.

Huiwen Xu (H)

Huiwen Xu, University of Texas Medical Branch, Galveston, Texas.

David C Grabowski (DC)

David C. Grabowski, Harvard University, Cambridge, Massachusetts.

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Classifications MeSH