Evidence map›Paper›PMID 40575020›Full record

ArticleInnovation in aging2025

Systematic Documentation of State Variation in Medicaid Home- and Community-based Services: The Medicaid Home and Community-based Services Dataset Initiative.

Katherine E M Miller, Elise M Parrish, Johanna Thunell

Abstract read
In one paragraph

Article in Innovation in aging, 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

3 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
Elise M ParrishDepartment of Sociology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Johanna ThunellSol Price School of Public Policy, University of Southern California, Los Angeles, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: In the United States, Medicaid plays a prominent and growing role as a primary payer for home- and community-based services (HCBS) to help adults remain living independently in the community. While Medicaid HCBS programs vary significantly across states, limited historical, systematic data about Medicaid HCBS program components exist. We presented a systematic, reproducible approach to capture comprehensive characteristics of Medicaid HCBS waivers. Research Design and Methods: We used current and historical documentation of Medicaid 1915(c) waivers serving adults ages 65 or older from 2010 to 2019. We described waiver services available over time, specifically respite, transport, meals/dietary/nutrition services, caregiver training, and payments to family members for personal care services. We extracted data from waiver documents using HTML parsing. Results: We extracted data systematically from 419 of 431 waiver documents (97%) across 46 states. During a manual quality control review of data extracted, 9% of waiver documents required any manual corrections, with only 4% requiring significant corrections impacting analysis (eg, missing services). We observed that the percentage of waivers offering each service increased over time for most services except caregiver training, which decreased. Discussion and Implications: This study fills a critical gap in data availability by demonstrating a systematic approach by which researchers can construct a historical, waiver-level database of Medicaid HCBS waiver characteristics.

Indexed as

CaregiversHome-based carePolicy

Identifiers

PMID40575020
PMCPMC12202006

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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.