Evidence map›Paper›PMID 32608522›Full record

ArticleHealth services research2020

Likelihood of hospital readmission in Medicare Advantage and Fee-For-Service within same hospital.

Daniel H Jung, Eva DuGoff, Maureen Smith, Mari Palta, Andrea Gilmore-Bykovskyi, John Mullahy

Open access · greenAbstract readComparative Study
In one paragraph

Article in Health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Observational
  2. Risk equalization and prevention.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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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 at 3 institutions in 1 country.

Daniel H JungDepartment of Public Health Sciences, University of Chicago, Chicago, IL.ORCID 0000-0002-2872-0873
Eva DuGoffHealth Services Administration, University of Maryland at College Park, College Park, MD.ORCID 0000-0001-6673-8428
Maureen SmithDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Mari PaltaDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Andrea Gilmore-BykovskyiSchool of Nursing, University of Wisconsin-Madison, Madison, WI.
John MullahyDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
University of Wisconsin–Madison · USChicago Department of Public Health · USUniversity of Maryland, College Park · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Paramedic-coached ED Care Transitions to Help Older Adults Maintain their HealthR01AG050504 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI SHAH, MANISH N · 2015 to 2019
$2.9M
Effect of Hospital and Community Care Coordination on Health Care Access, Quality and Equity among Individuals with Risk Factors or Diagnosis of ADRDR56AG062315 · NIA · UNIV OF MARYLAND, COLLEGE PARK · PI CHEN, JIE · 2018 to 2019
$963k
NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1TR000427NCATS NIH HHS UL1 TR002373NIA NIH HHS R01AG050504NIA NIH HHS R56 AG062315
6 · The paper itself

Abstract

objectiveTo assess the extent to which all-cause 30-day readmission rate varies by Medicare program within the same hospitals. STUDY

designWe used conditional logistic regression clustered by hospital and generalized estimating equations to compare the odds of unplanned all-cause 30-day readmission between Medicare Fee-for-Service (FFS) and Medicare Advantage (MA). DATA COLLECTION: Wisconsin Health Information Organization collects claims data from various payers including private insurance, Medicare, and Medicaid, twice a year. PRINCIPAL

findingsFor 62 of 66 hospitals, hospital-level readmission rates for MA were lower than those for Medicare FFS. The odds of 30-day readmission in MA were 0.92 times lower than Medicare FFS within the same hospital (odds ratio, 0.93; 95 percent confidence interval, 0.89-0.98). The adjusted overall readmission rates of Medicare FFS and MA were 14.9 percent and 11.9 percent, respectively.

conclusionThese findings provide additional evidence of potential variations in readmission risk by payer and support the need for improved monitoring systems in hospitals that incorporate payer-specific data. Further research is needed to delineate specific care delivery factors that contribute to differential readmission risk by payer source.

Indexed as

AgedAged, 80 and overCohort StudiesFee-for-Service PlansFemaleHospitalsHumansLogistic ModelsMaleMedicare Part COdds RatioPatient ReadmissionRetrospective StudiesRisk FactorsUnited StatesWisconsinadministrative datahospital readmissionMedicareMedicare Advantage

Identifiers

PMID32608522
PMCPMC7375992
OpenAlexW3040298422

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.