Severe neighborhood deprivation and nursing home staffing in the United States.


Journal

Journal of the American Geriatrics Society
ISSN: 1532-5415
Titre abrégé: J Am Geriatr Soc
Pays: United States
ID NLM: 7503062

Informations de publication

Date de publication:
03 2023
Historique:
revised: 11 07 2022
received: 05 04 2022
accepted: 11 07 2022
pmc-release: 01 03 2024
entrez: 17 3 2023
pubmed: 18 3 2023
medline: 22 3 2023
Statut: ppublish

Résumé

Low nursing home staffing in the United States is a growing safety concern. Socioeconomic deprivation in the local areas surrounding a nursing home may be a barrier to improving staffing rates but has been poorly studied. Thus, the objective of this paper was to assess the relationship between neighborhood deprivation and nursing home staffing in the United States. This cross-sectional study used 2018 daily payroll-based staffing records and address data for 12,609 nursing homes in the United States linked with resident assessment data. Our primary exposure of interest was severe economic deprivation at the census block group (neighborhood) level, defined as an area deprivation index score ≥85/100. The primary outcome was hours worked per resident-day among nursing home employees providing direct resident care. Marginal linear regression models and generalized estimating equations with robust sandwich-type standard errors were used to estimate associations between severe neighborhood deprivation and staffing rates. Compared to less deprived neighborhoods, unadjusted staffing rates in facilities located within severely deprived neighborhoods were 38% lower for physical and occupational therapists, 30% lower for registered nurses (RNs), and 5% lower for certified nursing assistants. No disparities in licensed practical nurse (LPN) staffing were observed. In models with state-level and rurality fixed effects and clustered on the county, a similar pattern of disparities was observed. Specifically, RN staffing per 100 resident-days was significantly lower in facilities located within severely deprived neighborhoods as compared to those in less deprived areas (mean difference: 5.6 fewer hours, 95% confidence interval [CI] 4.2-6.9). Disparities of lower magnitude were observed for other clinical disciplines except for LPNs. Significant staffing disparities were observed within facilities located in severely deprived neighborhoods. Targeted interventions, including workforce recruitment and retention efforts, may be needed to improve staffing levels for nursing homes in deprived neighborhoods.

Sections du résumé

BACKGROUND
Low nursing home staffing in the United States is a growing safety concern. Socioeconomic deprivation in the local areas surrounding a nursing home may be a barrier to improving staffing rates but has been poorly studied. Thus, the objective of this paper was to assess the relationship between neighborhood deprivation and nursing home staffing in the United States.
METHODS
This cross-sectional study used 2018 daily payroll-based staffing records and address data for 12,609 nursing homes in the United States linked with resident assessment data. Our primary exposure of interest was severe economic deprivation at the census block group (neighborhood) level, defined as an area deprivation index score ≥85/100. The primary outcome was hours worked per resident-day among nursing home employees providing direct resident care. Marginal linear regression models and generalized estimating equations with robust sandwich-type standard errors were used to estimate associations between severe neighborhood deprivation and staffing rates.
RESULTS
Compared to less deprived neighborhoods, unadjusted staffing rates in facilities located within severely deprived neighborhoods were 38% lower for physical and occupational therapists, 30% lower for registered nurses (RNs), and 5% lower for certified nursing assistants. No disparities in licensed practical nurse (LPN) staffing were observed. In models with state-level and rurality fixed effects and clustered on the county, a similar pattern of disparities was observed. Specifically, RN staffing per 100 resident-days was significantly lower in facilities located within severely deprived neighborhoods as compared to those in less deprived areas (mean difference: 5.6 fewer hours, 95% confidence interval [CI] 4.2-6.9). Disparities of lower magnitude were observed for other clinical disciplines except for LPNs.
CONCLUSIONS
Significant staffing disparities were observed within facilities located in severely deprived neighborhoods. Targeted interventions, including workforce recruitment and retention efforts, may be needed to improve staffing levels for nursing homes in deprived neighborhoods.

Identifiants

pubmed: 36929467
doi: 10.1111/jgs.17990
pmc: PMC10023834
mid: NIHMS1826980
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

711-719

Subventions

Organisme : NIA NIH HHS
ID : P30 AG028747
Pays : United States
Organisme : NIA NIH HHS
ID : K76 AG074922
Pays : United States
Organisme : NIA NIH HHS
ID : K76 AG074926
Pays : United States

Informations de copyright

© 2022 The American Geriatrics Society.

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Auteurs

Jason R Falvey (JR)

Department of Physical Therapy and Rehabilitation Science, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Erinn M Hade (EM)

Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA.

Steven Friedman (S)

Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA.

Rebecca Deng (R)

Department of Epidemiology, NYU School of Global Public Health, New York, New York, USA.

Joelle Jabbour (J)

Department of Health Policy and Management, NYU Robert F. Wagner Graduate School of Public Service, New York, New York, USA.

Robyn I Stone (RI)

LeadingAge, Washington, District of Columbia, USA.

Jasmine L Travers (JL)

New York University Rory Meyers College of Nursing, New York, New York, USA.

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Classifications MeSH