Evidence map›Paper›PMID 30016636›Full record

ArticleThe American journal of medicine2018

Trends in 30-Day Readmission Rates for Medicare and Non-Medicare Patients in the Era of the Affordable Care Act.

Suveen Angraal, Rohan Khera, Shengfan Zhou, Yongfei Wang, Zhenqiu Lin, Kumar Dharmarajan, Nihar R Desai, Susannah M Bernheim, Elizabeth E Drye, Khurram Nasir and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 43 citations in OpenAlex.

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  19. Triple Aim and the Hospital Readmission Reduction Program.Health services research and managerial epidemiology
    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

12 authors at 2 institutions in 1 country.

Suveen AngraalCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn.
Rohan KheraDivision of Cardiology, University of Texas Southwestern Medical Center, Dallas, Tex.
Shengfan ZhouCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn.
Yongfei WangCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn.
Zhenqiu LinCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn.
Kumar DharmarajanCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn; Clover Health, Jersey City, NJ.
Nihar R DesaiCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn.
Susannah M BernheimCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn; Section of General Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn.
Elizabeth E DryeCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn; Section of General Pediatrics, Department of Pediatrics, Yale School of Medicine, New Haven, Conn.
Khurram NasirCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn.
Leora I HorwitzCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn; Department of Population Health, Department of Medicine, Division of Healthcare Delivery Science, and Center for Healthcare Innovation and Delivery Science, NYU Langone Health, New York, NY.
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Conn; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Conn; Department of Health Policy and Management, Yale School of Public Health, New Haven, Conn. Electronic address: harlan.krumholz@yale.edu.
Yale New Haven Hospital · USThe University of Texas Southwestern Medical Center · US

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
Yale-CORE Career Development Program in Patient-Centered Outcomes ResearchK12HS023000 · AHRQ · YALE UNIVERSITY · PI KRUMHOLZ, HARLAN MARC · 2014 to 2018
$3.4M
Understanding hospital value: provider, hospital and community effectsR01HS022882 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, LEORA · 2014 to 2023
$2.9M
AHRQ HHS K12 HS023000AHRQ HHS R01 HS022882NCATS NIH HHS UL1 TR001105NHLBI NIH HHS T32 HL125247
6 · The paper itself

Abstract

backgroundTemporal changes in the readmission rates for patient groups and conditions that were not directly under the purview of the Hospital Readmissions Reduction Program (HRRP) can help assess whether efforts to lower readmissions extended beyond targeted patients and conditions.

methodsUsing the Nationwide Readmissions Database (2010-2015), we assessed trends in all-cause readmission rates for 1 of the 3 HRRP conditions (acute myocardial infarction, heart failure, pneumonia) or conditions not targeted by the HRRP in age-insurance groups defined by age group (≥65 years or <65 years) and payer (Medicare, Medicaid, or private insurance).

resultsIn the group aged ≥65 years, readmission rates for those covered by Medicare, Medicaid, and private insurance decreased annually for acute myocardial infarction (risk-adjusted odds ratio [OR; 95% confidence interval] among Medicare patients, 0.94 [0.94-0.95], among Medicaid patients, 0.93 [0.90-0.97], and among patients with private-insurance, 0.95 [0.93-0.97]); heart failure (ORs, 0.96 [0.96-0.97], 0.96 [0.94-0.98], and 0.97 [0.96-0.99], for the 3 payers, respectively), and pneumonia (ORs, 0.96 [0.96-0.97), 0.94 [0.92-0.96], and 0.96 [0.95-0.97], respectively). Readmission rates also decreased in the group aged <65 years for acute myocardial infarction (ORs: Medicare 0.97 [0.96-0.98], Medicaid 0.94 [0.92-0.95], and private insurance 0.93 [0.92-0.94]), heart failure (ORs, 0.98 [0.97-0.98]: 0.96 [0.96-0.97], and 0.97 [0.95-0.98], for the 3 payers, respectively), and pneumonia (ORs, 0.98 [0.97-0.99], 0.98 [0.97-0.99], and 0.98 [0.97-1.00], respectively). Further, readmission rates decreased significantly for non-target conditions.

conclusionsThere appears to be a systematic improvement in readmission rates for patient groups beyond the population of fee-for-service, older, Medicare beneficiaries included in the HRRP.

Indexed as

MedicarePatient Protection and Affordable Care ActPatient ReadmissionAgedAged, 80 and overFemaleHumansMaleOdds RatioRisk FactorsUnited StatesMedicaidMedicarePrivate insuranceReadmissionsTrends

Identifiers

PMID30016636
PMCPMC6380174
OpenAlexW2884021937

What OpenQuestion holds

Textmetadata
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.