Evidence map›Paper›PMID 41641881›Full record

ArticleHealth services research2026

Methodological Approaches to Examining Home Health Using Traditional Medicare and Medicare Advantage Claim Data.

Jianhui Xu, Jamie M Smith, Julia G Burgdorf, Teneil Brown, Daniel Polsky, Katherine Ornstein

Abstract read
In one paragraph

Article in Health services research, 2026. 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. Patient-Driven Grouping Model and Home Health Use Among Traditional Medicare Beneficiaries.Journal of the American Medical Directors Association · 2026
    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

6 authors.

Jianhui XuDepartment of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0003-2961-4236
Jamie M SmithSchool of Nursing, Widener University, Chester, Pennsylvania, USA.
Julia G BurgdorfCenter for Home Care Policy & Research, VNS Health, New York, New York, USA.ORCID https://orcid.org/0000-0002-3356-1897
Teneil BrownDepartment of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Daniel PolskyDepartment of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Katherine OrnsteinSchool of Nursing, Johns Hopkins University, Baltimore, Maryland, USA.

Funding

Remote Data Enclave Core (RDEC)P30AG066587 · NIA · JOHNS HOPKINS UNIVERSITY · PI DANIEL E POLSKY, Jennifer L. Wolff · 2020 to 2026
$6.7M
Health Services and Outcomes Research for Aging PopulationsT32AG066576 · NIA · JOHNS HOPKINS UNIVERSITY · PI CYNTHIA Melinda BOYD, Jennifer L. Wolff · 2020 to 2026
$3.8M
Hopkins Economics of Alzheimer's Disease & Services (HEADS) CenterNIA NIH HHS P30 AG066587NIA NIH HHS P30AG066587NIA NIH HHS T32 AG066576NIA NIH HHS T32AG066576
6 · The paper itself

Abstract

objectiveTo describe a claims-based methodology for constructing new home health stays using traditional Medicare (TM) claims data and Medicare advantage (MA) encounter data. STUDY SETTING AND

designTo demonstrate our methodology's performance, we assessed the percentages of TM and MA beneficiaries with one and two or more stays, and the mean length of a stay (LOS) among home health recipients. We compared 2019 and 2021 results to evaluate the methodology's feasibility pre- and post-implementation of the Patient-Driven Groupings Model (PDGM). DATA SOURCES AND ANALYTIC SAMPLE: We used 2019 and 2021 TM and MA home health claims and 2019 outcome and assessment information set for a nationally representative 20% sample of Medicare beneficiaries. PRINCIPAL

findingsIn 2019, a lower percentage of MA beneficiaries had new home health stays than TM (5.9% vs. 6.5%). Among home health recipients, approximately 90% had a single stay. The mean LOS in MA was 39 days, compared with 44 days in TM. The statistics from the 2021 data were similar, except that the mean LOS in TM increased to 46 days.

conclusionsOur claims-based new home health stay methodology is feasible both pre- and post-PDGM and would enable direct comparisons of home health utilization in TM and MA.

Indexed as

Home Care ServicesInsurance Claim ReviewMedicareMedicare Part CAgedAged, 80 and overFemaleHumansLength of StayMaleUnited Stateshome healthMedicare Advantagetraditional Medicare

Identifiers

PMID41641881
PMCPMC12874487

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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.