Evidence map›Paper›PMID 28786426›Full record

ArticleJournal of hospital medicine2017

Excess Readmission vs Excess Penalties: Maximum Readmission Penalties as a Function of Socioeconomics and Geography.

Chris Caracciolo, Devin Parker, Emily Marshall, Jeremiah Brown

Abstract read
In one paragraph

Article in Journal of hospital medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

4 authors.

Chris CaraccioloThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Devin ParkerThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Emily MarshallThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Jeremiah BrownThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.

Funding

Novel Biomarkers to Predict Readmission in Pediatric and Adult Heart SurgeryR01HL119664 · NHLBI · DARTMOUTH COLLEGE · PI BROWN, JEREMIAH R · 2014 to 2017
$3.2M
Information Extraction from EMRs to Predict Readmission following Acute Myocardial InfarctionR01HL130828 · NHLBI · DARTMOUTH COLLEGE · PI BROWN, JEREMIAH R, MATHENY, MICHAEL E. · 2016 to 2019
$3.1M
NHLBI NIH HHS R01 HL119664NHLBI NIH HHS R01 HL130828
6 · The paper itself

Abstract

backgroundThe Hospital Readmission Reduction Program (HRRP) penalizes hospitals with "excess" readmissions up to 3% of Medicare reimbursement. Approximately 75% of eligible hospitals received penalties, worth an estimated $428 million, in fiscal year 2015.

objectiveTo identify demographic and socioeconomic disparities between matched and localized maximum-penalty and no-penalty hospitals.

designA case-control study in which cases included were hospitals to receive the maximum 3% penalty under the HRRP during the 2015 fiscal year. Controls were drawn from no-penalty hospitals and matched to cases by hospital characteristics (primary analysis) or geographic proximity (secondary analysis).

settingA selectiion of 3383 US hospitals eligible for HRRP.

participantsThirty-nine case and 39 control hospitals from the HRRP cohort. MEASUREMENTS: Socioeconomic status variables were collected by the American Community Survey. Hospital and health system characteristics were drawn from Centers for Medicare and Medicaid Services, American Hospital Association, and Dartmouth Atlas of Health Care. The statistical analysis was conducted using Student t tests.

resultsThirty-nine hospitals received a maximum penalty. Relative to controls, maximum-penalty hospitals in counties with lower SES profiles are defined by increased poverty rates (19.1% vs 15.5%, 𝑃 = 0.015) and lower rates of high school graduation (82.2% vs 87.5%, 𝑃 = 0.001). County level age, sex, and ethnicity distributions were similar between cohorts.

conclusionsCases were more likely than controls to be in counties with low socioeconomic status; highlighting potential unintended consequences of national benchmarks for phenomena underpinned by environmental factors; specifically, whether maximum penalties under the HRRP are a consequence of underperforming hospitals or a manifestation of underserved communities.

Indexed as

GeographySocioeconomic FactorsCase-Control StudiesFemaleHospitalsHumansMaleMedicarePatient ReadmissionUnited States

Identifiers

PMID28786426
PMCPMC6091554

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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.