Evidence map›Paper›PMID 41355306›Full record

ArticleMedical care research and review : MCRR2026

Identifying Dual-Eligible Beneficiaries With Long-Term Services and Supports Use in Medicare Enrollment Data.

Laura M Keohane, Emmaline Keesee, Chanee D Fabius, David G Stevenson

Abstract read
In one paragraph

Article in Medical care research and review : MCRR, 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.

Laura M KeohaneVanderbilt University School of Medicine, Nashville, TN, USA.ORCID 0000-0002-9400-0575
Emmaline KeeseeVanderbilt University School of Medicine, Nashville, TN, USA.ORCID 0000-0001-6430-4482
Chanee D FabiusJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0003-1217-8415
David G StevensonVanderbilt University School of Medicine, Nashville, TN, USA.

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

Identifying dual-eligible beneficiaries who use Medicaid-funded long-term services and supports (LTSS) is difficult, hindering efforts to monitor use and improve quality. We demonstrate a strategy that uses only Medicare data to identify nursing home (NH) users and Medicaid home-and-community-based-service (HCBS) waiver participants by leveraging the fact that these groups exclusively qualify for zero cost-sharing in Part D. In a multistate cohort of low-income older adults, we identified Part D LTSS beneficiaries (dual-eligible beneficiaries with zero Part D cost-sharing) in Medicare enrollment records and verified LTSS use in NH assessments and Medicaid HCBS data. Over 96% of NH/HCBS waiver users in MDS or Medicaid data were correctly identified as Part D LTSS beneficiaries, and 93% of beneficiaries without NH or HCBS waiver use were accurately identified as not being Part D LTSS beneficiaries. Leveraging Part D data could support more timely evidence on quality and outcomes for dual-eligible LTSS users.

Indexed as

Long-Term CareMedicaidMedicareMedicare Part DAgedAged, 80 and overFemaleHome Care ServicesHumansMaleNursing HomesUnited Statesdual-eligible beneficiarieshome-and-community-based serviceslong-term services and supportMedicaidMedicarenursing home

Identifiers

PMID41355306
PMCPMC13087164

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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.