Evidence map›Paper›PMID 39425476›Full record

ArticleHealth services research2025

Increasing expenditures on home- and community-based services: Do home care workers benefit?

Katherine E M Miller, Norma B Coe, Amanda R Kreider, Allison Hoffman, Katherine Rhode, Pilar Gonalons-Pons

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Article in Health services research, 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
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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

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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.

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4 · The record

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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.

Katherine E M MillerDepartment of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-6726-2369
Norma B CoeLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-1228-0938
Amanda R KreiderDepartment of Health Policy and Management, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-5239-5003
Allison HoffmanLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Katherine RhodeUniversity of Pennsylvania Carey Law School, Philadelphia, Pennsylvania, USA.
Pilar Gonalons-PonsLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

The Leonard David Institute of Health Economics
6 · The paper itself

Abstract

objectiveTo examine the association of Medicaid home- and community-based services (HCBS) expenditures on the home care workforce. DATA SOURCES/STUDY

settingWe use two national, secondary data sources from 2008 to 2019: state-level Medicaid HCBS expenditures and the American Community Survey, in which we identify direct care workers in the home (i.e., home care workers), defined as nursing, psychiatric, and home health aides or personal care aides working in home health care services, individual and family services, and private households. STUDY

designOur key explanatory variable is HCBS expenditures per state per year. To estimate the association between changes in Medicaid HCBS expenditures and the workforce size, hourly wages and hours worked, we use negative binomial, linear, and generalized ordered logit regression, respectively. All models include demographic and socioeconomic characteristics, the number of potential HCBS beneficiaries (individuals with a disability and income under the federal maximum income eligibility limits), indicators for minimum wage and/or overtime protections for direct care workers, wage pass-through policies, and state and year fixed effects. DATA COLLECTION/EXTRACTION

methodsWe exclude states with incomplete reporting of expenditures. PRINCIPAL

findingsStates' HCBS expenditures increased between 2008 and 2019 after adjusting for inflation and the number of potential HCBS beneficiaries. Yet, home care workers' wages remained stagnant at $11-12/h. We find no association between changes in Medicaid HCBS expenditures and wages. For every additional $1 million in Medicaid HCBS expenditures, the expected number of workers increases by 1.2 and the probability of working overtime increased (0.0015% points; p < 0.05). Results are largely robust under multiple sensitivity analyses.

conclusionsWe find no evidence of a statistically significant relationship between changes in state-level changes in Medicaid HCBS expenditures and worker wages but do find a significant, but small, association with hours worked and workforce size.

Indexed as

Community Health ServicesHealth ExpendituresHome Care ServicesHome Health AidesMedicaidAdultFemaleHumansMaleMiddle AgedSalaries and Fringe BenefitsUnited Statesdirect care workforcehome‐ and community‐based serviceslong‐term careMedicaid

Identifiers

PMID39425476
PMCPMC12047693

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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.