Evidence map›Paper›PMID 41494129›Full record

ArticleHealth affairs (Project Hope)2026

Community-Entry Home Health Made Up Nearly Half Of Home Health Episodes And Spending In Traditional Medicare, 2017-21.

Ilana Salant, Mark Shepard, Nicole Maestas, Timothy J Layton, David C Grabowski

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 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. 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

5 authors.

Ilana SalantIlana Salant (isalant@g.harvard.edu), Harvard University, Cambridge, Massachusetts.
Mark ShepardMark Shepard, Harvard University, Cambridge, Massachusetts, and National Bureau of Economic Research, Cambridge, Massachusetts.
Nicole MaestasNicole Maestas, Harvard University, Boston, Massachusetts, and National Bureau of Economic Research.
Timothy J LaytonTimothy J. Layton, University of Virginia, Charlottesville, Virginia, and National Bureau of Economic Research.
David C GrabowskiDavid C. Grabowski, Harvard University, Boston, Massachusetts.

Funding

Tradeoffs in the Design of Public Long-Term Care BenefitsP01AG032952 · NIA · HARVARD MEDICAL SCHOOL · PI Bruce E. Landon · 2009 to 2026
$39.0M
NIA NIH HHS P01 AG032952
6 · The paper itself

Abstract

Medicare home health care is often characterized as a postacute care benefit, yet community-entry users-those admitted without a preceding hospitalization-account for nearly half of all spending and episodes in traditional Medicare. Using Medicare administrative data from 2017, 2019, and 2021, we analyzed differences between community-entry and postacute home health users. Community-entry beneficiaries were older; were more likely to be dually eligible; and had substantially higher rates of cognitive impairment, Alzheimer's disease, and depression compared with postacute users. Despite these clinical differences, visit patterns remained similar between groups. We documented significant state-level variation in community-entry prevalence, with changes in community-entry share that were positively associated with changes in overall home health spending. Our findings reveal a fundamental tension between policies that favor postacute care and the reality of Medicare home health use, which serves a substantial population with clinical and demographic profiles that differ from those of postacute care users.

Indexed as

Health ExpendituresHome Care ServicesMedicareAgedAged, 80 and overFemaleHospitalizationHumansMaleSubacute CareUnited States

Identifiers

PMID41494129
PMCPMC13417612

What OpenQuestion holds

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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.