Evidence map›Paper›PMID 30933582›Full record

ArticleHealth affairs (Project Hope)2019

Patient Readmission Rates For All Insurance Types After Implementation Of The Hospital Readmissions Reduction Program.

Enrico G Ferro, Eric A Secemsky, Rishi K Wadhera, Eunhee Choi, Jordan B Strom, Jason H Wasfy, Yun Wang, Changyu Shen, Robert W Yeh

Abstract readMulticenter Study
In one paragraph

Article in Health affairs (Project Hope), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Targeting zero preventable trauma readmissions.The journal of trauma and acute care surgery · 2021
    Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Enrico G FerroEnrico G. Ferro is a fellow at the Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, and a resident physician in internal medicine at Brigham and Women's Hospital, in Boston, Massachusetts.
Eric A SecemskyEric A. Secemsky is a cardiologist at the Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center.
Rishi K WadheraRishi K. Wadhera is a fellow at the Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, and in the Heart and Vascular Center, Department of Medicine, at Brigham and Women's Hospital.
Eunhee ChoiEunhee Choi is a statistician at the Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center.
Jordan B StromJordan B. Strom is a cardiologist at the Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center.
Jason H WasfyJason H. Wasfy is a cardiologist in the Department of Medicine at Massachusetts General Hospital, in Boston.
Yun WangYun Wang is a senior research scientist in the Department of Biostatistics at the Harvard T. H. Chan School of Public Health, in Boston.
Changyu ShenChangyu Shen is lead statistician at the Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center.
Robert W YehRobert W. Yeh (ryeh@bidmc.harvard.edu) is the director of the Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center.

Funding

TRAINING PROGRAM IN CARDIOVASCULAR RESEARCHT32HL007604 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MARK W FEINBERG · 1985 to 2026
$19.0M
NHLBI NIH HHS T32 HL007604
6 · The paper itself

Abstract

Since the implementation of the Hospital Readmissions Reduction Program (HRRP), readmissions have declined for Medicare patients with conditions targeted by the policy (acute myocardial infarction, heart failure, and pneumonia). To understand whether HRRP implementation was associated with a readmission decline for patients across all insurance types (Medicare, Medicaid, and private), we conducted a difference-in-differences analysis using information from the Nationwide Readmissions Database. We compared how quarterly readmissions for target conditions changed before (2010-12) and after (2012-14) HRRP implementation, using nontarget conditions as the control. Our results demonstrate that readmissions declined at a significantly faster rate after HRRP implementation not just for Medicare patients but also for those with Medicaid, both in the aggregate and for individual target conditions. However, composite Medicaid readmission rates remained higher than those for Medicare. Throughout the study period privately insured patients had the lowest aggregate readmission rates, which declined at a similar rate compared to nontarget conditions. The HRRP was associated with nationwide readmission reductions beyond the Medicare patients originally targeted by the policy. Further research is needed to understand the specific mechanisms by which hospitals have achieved reductions in readmissions.

Indexed as

Cost SavingsDatabases, FactualFemaleHospital CostsHospitalizationHumansInsurance CoverageMaleMedicaidMedicareOutcome Assessment, Health CarePatient ReadmissionProgram DevelopmentProgram EvaluationRetrospective StudiesUnited States

Identifiers

PMID30933582
PMCPMC7137289

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.