Evidence map›Paper›PMID 33740969›Full record

ArticleBMC health services research2021

Association between Medicare's Hospital Readmission Reduction Program and readmission rates across hospitals by medicare bed share.

Souvik Banerjee, Michael K Paasche-Orlow, Danny McCormick, Meng-Yun Lin, Amresh D Hanchate

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. 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
1.8field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  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 at 4 institutions in 2 countries.

Souvik BanerjeeDepartment of Humanities and Social Sciences, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India.
Michael K Paasche-OrlowGeneral Internal Medicine, Boston University School of Medicine, Boston, MA, USA.
Danny McCormickDivision of Social and Community Medicine, Department of Medicine, Harvard Medical School, Cambridge Health Alliance, Cambridge, MA, USA.
Meng-Yun LinDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157-1063, USA.
Amresh D HanchateDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157-1063, USA. ahanchat@wakehealth.edu.ORCID http://orcid.org/0000-0002-7038-4463
Wake Forest University · USBoston University · USCambridge Health Alliance · USIndian Institute of Technology Bombay · IN

Funding

Unintended Consequences: Medicare Performance Programs and Health DisparitiesR01MD010527 · NIMHD · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HANCHATE, AMRESH D · 2016 to 2018
$1.6M
NIMHD NIH HHS R01 MD010527
6 · The paper itself

Abstract

backgroundMedicare's Hospital Readmissions Reduction Program (HRRP), implemented beginning in 2013, seeks to incentivize Inpatient Prospective Payment System (IPPS) hospitals to reduce 30-day readmissions for selected inpatient cohorts including acute myocardial infarction, heart failure, and pneumonia. Performance-based penalties, which take the form of a percentage reduction in Medicare reimbursement for all inpatient care services, have a risk of unintended financial burden on hospitals that care for a larger proportion of Medicare patients. To examine the role of this unintended risk on 30-day readmissions, we estimated the association between the extent of their Medicare share of total hospital bed days and changes in 30-day readmissions.

methodsWe used publicly available nationwide hospital level data for 2009-2016 from the Centers for Medicare and Medicaid Services (CMS) Hospital Compare program, CMS Final Impact Rule, and the American Hospital Association Annual Survey. Using a quasi-experimental difference-in-differences approach, we compared pre- vs. post-HRRP changes in 30-day readmission rate in hospitals with high and moderate Medicare share of total hospital bed days ("Medicare bed share") vs. low Medicare bed share hospitals.

resultsWe grouped the 1904 study hospitals into tertiles (low, moderate and high) by Medicare bed share; the average bed share in the three tertile groups was 31.2, 47.8 and 59.9%, respectively. Compared to low Medicare bed share hospitals, high bed share hospitals were more likely to be non-profit, have smaller bed size and less likely to be a teaching hospital. High bed share hospitals were more likely to be in rural and non-large-urban areas, have fewer lower income patients and have a less complex patient case-mix profile. At baseline, the average readmissions rate in the low Medicare bed share (control) hospitals was 20.0% (AMI), 24.7% (HF) and 18.4% (pneumonia). The observed pre- to post-program change in the control hospitals was - 1.35% (AMI), - 1.02% (HF) and - 0.35% (pneumonia). Difference in differences model estimates indicated no differential change in readmissions among moderate and high Medicare bed share hospitals.

conclusionsHRRP penalties were not associated with any change in readmissions rate. The CMS should consider alternative options - including working collaboratively with hospitals - to reduce readmissions.

Indexed as

Heart FailureProspective Payment SystemAgedCenters for Medicare and Medicaid Services, U.S.HospitalsHumansMedicarePatient ReadmissionUnited StatesHospital performance-based penaltyMedicare bed shareReadmissions

Identifiers

PMID33740969
PMCPMC7980319
OpenAlexW3137385606

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.