Evidence map›Paper›PMID 41893618›Full record

ArticleJAMA health forum2026

Medicaid Home and Community-Based Services Initiation and Acute Services Use.

Emmaline Keesee, Chanee D Fabius, Jennifer Kim, David Stevenson, Laura M Keohane

Abstract read
In one paragraph

Article in JAMA health forum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Emmaline KeeseeDepartment of Health Policy, Vanderbilt University, Nashville, Tennessee.
Chanee D FabiusDepartment of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.
Jennifer KimVanderbilt University School of Nursing, Nashville, Tennessee.
David StevensonDepartment of Health Policy, Vanderbilt University, Nashville, Tennessee.
Laura M KeohaneDepartment of Health Policy, Vanderbilt University, Nashville, Tennessee.

Funding

Southern Community Cohort StudyR01CA092447 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., ZHENG, WEI · 2001 to 2015
$74.0M
Routine Care during COVID-19 pandemic for Low-income Older Adults with Diabetes and DementiaR01AG068606 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KEOHANE, LAURA MARGARET · 2020 to 2023
$1.7M
Quality of Care for Dual-Eligible Beneficiaries in Managed Care PlansK01AG058700 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KEOHANE, LAURA MARGARET · 2018 to 2022
$570k
NCI NIH HHS R01 CA092447NIA NIH HHS K01 AG058700NIA NIH HHS R01 AG068606
6 · The paper itself

Abstract

Importance: For more than a decade, Medicaid has funded the majority of long-term services and supports through home and community-based services (HCBS). Whether access to Medicaid HCBS may affect dual-eligible beneficiaries' use of Medicare-covered medical services is not well understood. Objective: To determine whether Medicaid HCBS initiation is associated with changes in acute services use and medication fills. Design, Setting, and Participants: This cohort study used Southern Community Cohort Study data linked to Medicare and Medicaid claims to identify a cohort of older adults residing across 11 southeastern states, largely recruited from community health centers between 2002 and 2009. The sample included older adults with 12 months of continuous traditional Medicare or Medicare Advantage enrollment centered on first month of Medicaid HCBS initiation. All analyses were conducted from spring 2023 to fall 2025. Exposure: Initiation of Medicaid HCBS between 2006 and 2018. HCBS was identified by presence of a Medicaid personal care claim or 1915(c) waiver enrollment or claim. Main Outcomes and Measures: Inpatient discharges, emergency department (ED) use, and unique prescription drugs filled estimated using linear regressions with an event study structure. Event study models with person and year fixed-effects estimated changes in person-month probability of ED use and inpatient discharge and unique drugs filled in the 6 months before and after initiation of HCBS. Subanalyses estimated differences by pre-HCBS Medicaid enrollment status, Medicaid waiver vs state plan HCBS use, Alzheimer disease and related dementia, and diabetes diagnosis. Results: In a sample of 1218 new HCBS users (75% female, 77% Black; mean [SD] age, 70.5 [7.5] years), Medicaid HCBS initiation was associated with a decrease in probability of ED use (-2.70 percentage points; 95% CI, -4.18 to -1.22 percentage points) and a decrease in probability of inpatient discharge (-2.63 percentage points; 95% CI, -3.75 to -1.51 percentage points). These differences represent a 24% decrease in the within-person probability of any ED use and a 32% decrease in inpatient discharge down from adjusted pre-HCBS probabilities of 11.4% and 8.1%. Event-month trends demonstrated discontinuity at HCBS initiation and reduced the probability of acute services use that was maintained 6 months thereafter. The number of unique drugs filled steadily increased before and after HCBS, with no discontinuity observed at HCBS initiation. Conclusions and Relevance: In this study among a large cohort of older adults with low income across the southeastern US, Medicaid HCBS was associated with a persistent decrease in acute services use. Future research should explore additional outcomes to better inform policies that can improve HCBS outcomes and an understanding of its tradeoffs with acute services use.

Indexed as

Community Health ServicesEmergency Service, HospitalHome Care ServicesMedicaidAgedAged, 80 and overCohort StudiesEmergency Room VisitsFemaleHumansMaleMedicareUnited States

Identifiers

PMID41893618
PMCPMC13032151

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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.