Evidence map›Paper›PMID 30646181›Full record

ArticleJAMA network open2018

Association of the Hospital Readmissions Reduction Program With Mortality During and After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia.

Rohan Khera, Kumar Dharmarajan, Yongfei Wang, Zhenqiu Lin, Susannah M Bernheim, Yun Wang, Sharon-Lise T Normand, Harlan M Krumholz

Abstract read
In one paragraph

Article in JAMA network open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 pooled it
–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

61 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Rohan KheraDivision of Cardiology, University of Texas Southwestern Medical Center, Dallas.
Kumar DharmarajanClover Health, Jersey City, New Jersey.
Yongfei WangCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Zhenqiu LinCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Susannah M BernheimCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Yun WangDepartment of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
Sharon-Lise T NormandDepartment of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.

Funding

UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)UL1TR001105 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$24.5M
Training in Cardiovascular ResearchT32HL125247 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI JOSEPH A HILL · 2015 to 2026
$4.3M
NCATS NIH HHS UL1 TR001105NHLBI NIH HHS T32 HL125247
6 · The paper itself

Abstract

Importance: The US Hospital Readmissions Reduction Program (HRRP) was associated with reduced readmissions among Medicare beneficiaries hospitalized for acute myocardial infarction (AMI), heart failure (HF), and pneumonia. It is important to assess whether there has been a signal for concomitant harm with an increase in mortality. Objective: To evaluate whether the announcement or the implementation of HRRP was associated with an increase in either in-hospital or 30-day postdischarge mortality following hospitalization for AMI, HF, or pneumonia. Design, Setting, and Participants: In this cohort study, using Medicare data, all hospitalizations for AMI, HF, and pneumonia were identified among fee-for-service Medicare beneficiaries aged 65 years and older from January 1, 2006, to December 31, 2014. These were assessed for changes in trends for risk-adjusted rates of in-hospital and 30-day postdischarge mortality after announcement and implementation of the HRRP using an interrupted time series framework. Analyses were done in November 2017 and December 2017. Exposures: Announcement of the HRRP in March 2010, and implementation of its penalties in October 2012. Main Outcomes and Measures: Monthly risk-adjusted rates of in-hospital and 30-day postdischarge mortality. Results: The sample included 1.7 million AMI, 4 million HF, and 3.5 million pneumonia hospitalizations. Between 2006 and 2014, in-hospital mortality decreased for the 3 conditions (AMI, from 10.4% to 9.7%; HF, from 4.3% to 3.5%; pneumonia, from 5.3% to 4.0%) while 30-day postdischarge mortality decreased from 7.4% to 7.0% for AMI (P for trend < .001), but increased from 7.4% to 9.2% for HF (P for trend < .001) and from 7.6% to 8.6% for pneumonia (P for trend < .001). Before the HRRP announcement, monthly postdischarge mortality was stable for AMI (slope for monthly change, 0.002%; 95% CI, -0.001% to 0.006% per month), and increased by 0.004% (95% CI, 0.000% to 0.007%) per month for HF and by 0.005% (95% CI, 0.002% to 0.008%) per month for pneumonia. There were no inflections in slope around HRRP announcement or implementation (P > .05 for all). In contrast, there were significant negative deflections in slopes for readmission rates at HRRP announcement for all conditions. Conclusions and Relevance: Among Medicare beneficiaries, there was no evidence for an increase in in-hospital or postdischarge mortality associated with HRRP announcement or implementation-a period with substantial reductions in readmissions. The improvement in readmission was therefore not associated with any increase in in-hospital or 30-day postdischarge mortality.

Indexed as

AgedAged, 80 and overCohort StudiesFemaleHeart FailureHospitalizationHumansMaleMedicareMiddle AgedMyocardial InfarctionPatient DischargePatient ReadmissionPneumoniaRisk FactorsUnited States

Identifiers

PMID30646181
PMCPMC6324473

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.