ArticleMedical care research and review : MCRR2026
Identifying Dual-Eligible Beneficiaries With Long-Term Services and Supports Use in Medicare Enrollment Data.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.