Evidence map›Paper›PMID 42757356›Full record

ArticleInnovation in aging2026

Medicaid payment rates and nursing home staffing levels across ownership types.

Edward Alan Miller, Elizabeth Simpson, Marc A Cohen, John R Bowblis

Abstract read
In one paragraph

Article in Innovation in aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Edward Alan MillerDepartment of Gerontology, Donna M. and Robert J. Manning College of Nursing & Health Sciences, University of Massachusetts Boston, Boston, Massachusetts, United States.ORCID https://orcid.org/0000-0002-1881-6046
Elizabeth SimpsonDepartment of Gerontology, Donna M. and Robert J. Manning College of Nursing & Health Sciences, University of Massachusetts Boston, Boston, Massachusetts, United States.ORCID https://orcid.org/0000-0002-3703-6977
Marc A CohenDepartment of Gerontology, Donna M. and Robert J. Manning College of Nursing & Health Sciences, University of Massachusetts Boston, Boston, Massachusetts, United States.ORCID https://orcid.org/0000-0003-1492-9155
John R BowblisDepartment of Economics, Farmer School of Business, Miami University, Oxford, Ohio, United States.ORCID https://orcid.org/0000-0003-4766-4182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Medicaid is the largest payer for long-stay nursing home care, yet the relationship between payment and quality is understudied. Given the relationship of staffing to quality of care, this study aimed to investigate the association between Medicaid payment rates and nursing staff levels in nursing homes, both overall and by ownership type (for-profit, not-for-profit, government). Research Design and Methods: The study employed a retrospective, cross-sectional analysis using a nationwide, facility-level database, comprising facility-level Medicaid payment rates collected directly from the states, staffing levels derived from the Payroll-Based Journal (PBJ), and facility and resident characteristics from the Medicare Cost Reports and Certification and Survey Provider Enhanced Reporting (CASPER). Multivariate regression with state fixed effects was used to assess the relationship between Medicaid payment and staffing levels. The final sample accounted for 9,510 freestanding nursing homes across the United States. Results: Results demonstrate significant associations between Medicaid payment rates and total, nurse aide, and registered nurse staffing levels. Medicaid payment rates were not consistently associated with licensed practical nurse staffing levels. Findings did not vary across not-for-profit, for-profit, and government nursing homes. Discussion and Implications: Medicaid reimbursement levels affect nursing staff levels in nursing homes, regardless of ownership type. Policymakers should consider Medicaid payment rates when setting nursing home policy to support staffing and sustain quality of care.

Indexed as

Licensed nursesMedicaid reimbursementNurse aidesNursing home quality

Identifiers

PMID42757356
PMCPMC13585398

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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.