Evidence map›Paper›PMID 39071107›Full record

ArticleHealth affairs scholar2024

Regional variation in length of stay for stroke inpatient rehabilitation in traditional Medicare and Medicare Advantage.

Dian Luo, Mariétou H Ouayogodé, John Mullahy, Ying Jessica Cao

Abstract read
In one paragraph

Article in Health affairs scholar, 2024. 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. Review
  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

4 authors.

Dian LuoDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, WI 53726, United States.ORCID https://orcid.org/0000-0003-2907-4831
Mariétou H OuayogodéDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, WI 53726, United States.ORCID https://orcid.org/0000-0002-4628-0015
John MullahyDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, WI 53726, United States.
Ying Jessica CaoDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, WI 53726, United States.ORCID https://orcid.org/0000-0002-5907-8959

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regional variation in health care use threatens efficient and equitable resource allocation. Within the Medicare program, variation in care delivery may differ between centrally administered traditional Medicare (TM) and privately managed Medicare Advantage (MA) plans, which rely on different strategies to control care utilization. As MA enrollment grows, it is particularly important for program design and long-term health care equity to understand regional variation between TM and MA plans. This study examined regional variation in length of stay (LOS) for stroke inpatient rehabilitation between TM and MA plans in 2019 and how that changed in 2020, the first year of the COVID-19 pandemic. Results showed that MA plans had larger across-region variations than TM (SD = 0.26 vs 0.24 days; 11% relative difference). In 2020, across-region variation for MA further increased, but the trend for TM stayed relatively stable. Market competition among all inpatient rehabilitation facilities (IRFs) within a region was associated with a moderate increase in within-region variation of LOS (elasticity = 0.46). Policies reducing administrative variation across MA plans or increasing regional market competition among IRFs can mitigate regional variation in health care use.

Indexed as

inpatient rehabilitationMedicare Advantageregional variationtraditional Medicare

Identifiers

PMID39071107
PMCPMC11282463

What OpenQuestion holds

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Read underepoch 390

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.