Evidence map›Paper›PMID 39956157›Full record

ArticleJournal of the American Medical Directors Association2025

Association of Racial and Ethnic Composition with Staff Levels in Nursing Homes: 2013-2019.

Yejin Kang, Sam Kang, John R Bowblis, Brian Downer, Matthew D McHugh, Huiwen Xu

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yejin KangSchool of Public and Population Health, University of Texas Medical Branch, Galveston, TX, USA.
Sam KangJohn Sealy School of Medicine, University of Texas Medical Branch, Galveston, TX, USA.
John R BowblisDepartment of Economics, Farmer School of Business, Miami University, Oxford, OH, USA; Scripps Gerontology Center, Miami University, Oxford, OH, USA.
Brian DownerSchool of Public and Population Health, University of Texas Medical Branch, Galveston, TX, USA; Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX, USA.
Matthew D McHughSchool of Nursing, University of Pennsylvania, Philadelphia, PA, USA.
Huiwen XuNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA. Electronic address: huiwen.xu@emory.edu.

Funding

UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
The effectiveness and consequences of visitation bans in nursing homesR01AG081282 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Huiwen Xu · 2023 to 2026
$1.5M
Alzheimer's Special Care Units in Nursing Homes: Racial and Ethnic Disparities, Resident Outcomes, and State PoliciesR01AG087296 · NIA · EMORY UNIVERSITY · PI Huiwen Xu · 2024 to 2026
$1.2M
NIA NIH HHS P30 AG024832NIA NIH HHS R01 AG081282NIA NIH HHS R01 AG087296
6 · The paper itself

Abstract

objectivesThe nursing home (NH) population has become increasingly diverse, yet many facilities remain de facto racially segregated. This study examines whether a high proportion of Black, Indigenous, and People of Color (BIPOC) residents is associated with nursing staff levels.

designWe constructed a longitudinal cohort of NHs (2013-2019) by linking Certification and Survey Provider Enhanced Reports, LTCFocUS.org, Medicare Cost Reports, and Payroll-Based Journal data. Separate multivariable random effects linear regressions were conducted. SETTING AND

participants14,075 Medicare- and Medicaid-certified NHs in the United States.

methodsThe proportion of BIPOC residents was categorized as the 10% of nursing homes serving the highest minority residents in each state each year (High-BIPOC) and the remaining 90% (Low-BIPOC). Total nursing staff levels in hours per resident-day (HPRD) included both hours paid (2013-2019) and hours worked (2017-2019). The total staff included registered nurses, licensed practical nurses, and certified nurse aides.

resultsThe unadjusted difference in total staff levels between High-BIPOC and Low-BIPOC NHs increased from -0.23 HPRD (4.19 vs 4.42) in 2013 to -0.35 HPRD (3.94 vs 4.29) in 2019 for hours paid. The difference in hours worked increased from -0.19 (3.55 vs 3.74) in 2017 to -0.23 (3.50 vs 3.73) in 2019. The difference became smaller but remained significant after controlling for covariates (-0.037 HPRD for hours paid, and -0.038 for hours worked). Analyses of individual staff types found lower levels of registered nurses and certified nurse aides (but not licensed practical nurses) among High-BIPOC nursing homes. Findings were robust to treating racial and ethnic composition as a continuous variable or excluding payer mix from the models. CONCLUSIONS AND IMPLICATIONS: NHs with high concentrations of minority residents reported lower nursing staff levels. Improving staffing in NHs serving primarily marginalized racial and ethnic groups remains a policy priority.

Indexed as

EthnicityNursing HomesNursing StaffRacial GroupsFemaleHumansLongitudinal StudiesMaleUnited StatesNursing homesracial and ethnic disparitiesstaff levels

Identifiers

PMID39956157
PMCPMC12704367

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.