Evidence map›Paper›PMID 28480598›Full record

ArticleHealth services research2018

Further Evidence on the System-Wide Effects of the Hospital Readmissions Reduction Program.

Berna Demiralp, Fang He, Lane Koenig

Abstract read
In one paragraph

Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

3 authors.

Berna DemiralpKNG Health Consulting, LLC, Rockville, MD.
Fang HeKNG Health Consulting, LLC, Rockville, MD.
Lane KoenigKNG Health Consulting, LLC, Rockville, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the potential spillover effects of the Hospital Readmissions Reduction Program (HRRP) on readmissions for nontargeted conditions and patient populations. We examine HRRP effects on nontargeted conditions separately and on non-Medicare populations in Florida and California. DATA SOURCES: From 2007-2013, 100 percent Medicare inpatient claims data, 2007-2013 State Inpatient Database (SID) for Florida, and 2007-2011 SID for California. STUDY

designWe conducted an interrupted time series analysis to estimate the change in 30-day all-cause unplanned readmission trends after the start of HRRP using logistic regression. PRINCIPAL

findingsHospitals with the largest reductions in targeted Medicare readmissions experienced higher reductions in nontargeted Medicare readmissions. Among nontargeted conditions, reductions were higher for neurology and surgery conditions than for the cardiovascular and cardiorespiratory conditions, which are clinically similar to the targeted conditions. For non-Medicare patients, readmission trends for targeted conditions in Florida and California did not change after HRRP.

conclusionsOur findings are consistent with positive spillover benefits associated with HRRP. The extent of these benefits, however, varies across condition and patient groups. The observed patterns suggest a complex response, including a role of nonfinancial factors, in driving lower readmissions.

Indexed as

CaliforniaFloridaHeart FailureHumansInsurance Claim ReviewInsurance, HealthInterrupted Time Series AnalysisLogistic ModelsMedicareMyocardial InfarctionPatient ReadmissionPneumoniaQuality Indicators, Health CareUnited StatesHospital Readmissions Reduction Programinterrupted time seriesspillover effects

Identifiers

PMID28480598
PMCPMC5980263

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.