Evidence map›Paper›PMID 37036906›Full record

ArticleCirculation2023

Achieving Equity in Hospital Performance Assessments Using Composite Race-Specific Measures of Risk-Standardized Readmission and Mortality Rates for Heart Failure.

Amgad Mentias, Eric D Peterson, Neil Keshvani, Dharam J Kumbhani, Clyde W Yancy, Alanna A Morris, Larry A Allen, Saket Girotra, Gregg C Fonarow, Randall C Starling and 4 more

Abstract read
In one paragraph

Article in Circulation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Amgad MentiasHeart, Vascular and Thoracic Institute, Cleveland Clinic Foundation, OH (A. Mentias, R.S., P.A., M.D.).ORCID 0000-0001-6555-2517
Eric D PetersonDivision of Cardiology, Department of Internal Medicine, University of Texas (UT) Southwestern Medical Center, Dallas (E.D.P., N.K., D.J.K., S.G., A.P.).ORCID 0000-0002-5415-4721
Neil KeshvaniDivision of Cardiology, Department of Internal Medicine, University of Texas (UT) Southwestern Medical Center, Dallas (E.D.P., N.K., D.J.K., S.G., A.P.).ORCID 0000-0001-6890-8670
Dharam J KumbhaniDivision of Cardiology, Department of Internal Medicine, University of Texas (UT) Southwestern Medical Center, Dallas (E.D.P., N.K., D.J.K., S.G., A.P.).ORCID 0000-0003-4321-4538
Clyde W YancyDivision of Cardiology, Northwestern University School of Medicine, Chicago, IL (C.Y.).ORCID 0000-0001-7271-4166
Alanna A MorrisDivision of Cardiology, Emory University School of Medicine, Atlanta, GA (A. Morris).ORCID 0000-0002-8033-3707
Larry A AllenDivision of Cardiology, University of Colorado Anschutz Medical Campus, Denver (L.A.).ORCID 0000-0003-2540-3095
Saket GirotraDivision of Cardiology, Department of Internal Medicine, University of Texas (UT) Southwestern Medical Center, Dallas (E.D.P., N.K., D.J.K., S.G., A.P.).ORCID 0000-0002-4784-4513
Gregg C FonarowAhmanson Cardiomyopathy Center, University of California, Los Angeles, School of Medicine (G.C.F.).ORCID 0000-0002-3192-8093
Randall C StarlingHeart, Vascular and Thoracic Institute, Cleveland Clinic Foundation, OH (A. Mentias, R.S., P.A., M.D.).ORCID 0000-0002-1254-4860
Paulino AlvarezHeart, Vascular and Thoracic Institute, Cleveland Clinic Foundation, OH (A. Mentias, R.S., P.A., M.D.).
Milind Y DesaiHeart, Vascular and Thoracic Institute, Cleveland Clinic Foundation, OH (A. Mentias, R.S., P.A., M.D.).ORCID 0000-0003-0010-9797
Peter CramDepartment of Internal Medicine, UT Medical Branch, Galveston, TX (P.C.).ORCID 0000-0002-1910-346X
Ambarish PandeyDivision of Cardiology, Department of Internal Medicine, University of Texas (UT) Southwestern Medical Center, Dallas (E.D.P., N.K., D.J.K., S.G., A.P.).ORCID 0000-0001-9651-3836

Funding

Comparing hospitalization rates, outcomes, and treatment intensity for elderly patients across OECD countriesR01AG058878 · NIA · HARVARD MEDICAL SCHOOL · PI Peter M Cram, Bruce E. Landon · 2019 to 2026
$3.4M
Polypill strategy for the evidence-based management of heart failure with reduced ejection fraction in an underserved patient populationR01MD017529 · NIMHD · UT SOUTHWESTERN MEDICAL CENTER · PI PANDEY, AMBARISH, WANG, THOMAS J. · 2022 to 2025
$2.9M
Reducing Ethnic-racial Disparities in Cardiac Arrest Survival Outcomes (RED-CASO)R01HL160734 · NHLBI · SAINT LUKE'S HOSPITAL · PI CHAN, PAUL SHEUNG-YAN, GIROTRA, SAKET · 2022 to 2025
$2.6M
Peripheral Artery Disease: Long-term Survival & Outcomes Study (PEARLS)R01HL166305 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI Saket Girotra · 2023 to 2026
$2.5M
Peripheral Artery Disease: Long-term Survival & Outcomes Study (PEARLS)R56HL158803 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI GIROTRA, SAKET · 2021 to 2021
$633k
Evaluation of Racial Differences in Cardiorespiratory Fitness Decline with Aging & Underlying Biological MechanismsR03AG067960 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI PANDEY, AMBARISH · 2020 to 2021
$327k
NHLBI NIH HHS R01 HL160734NHLBI NIH HHS R01 HL166305NHLBI NIH HHS R56 HL158803NIA NIH HHS R01 AG058878NIA NIH HHS R03 AG067960NIMHD NIH HHS R01 MD017529
6 · The paper itself

Abstract

backgroundThe contemporary measures of hospital performance for heart failure hospitalization and 30-day risk-standardized readmission rate (RSRR) and risk-standardized mortality rate (RSMR) are estimated using the same risk adjustment model and overall event rate for all patients. Thus, these measures are mainly driven by the care quality and outcomes for the majority racial and ethnic group, and may not adequately represent the hospital performance for patients of Black and other races.

methodsFee-for-service Medicare beneficiaries from January 2014 to December 2019 hospitalized with heart failure were identified. Hospital-level 30-day RSRR and RSMR were estimated using the traditional race-agnostic models and the race-specific approach. The composite race-specific performance metric was calculated as the average of the RSRR/RMSR measures derived separately for each race and ethnicity group. Correlation and concordance in hospital performance for all patients and patients of Black and other races were assessed using the composite race-specific and race-agnostic metrics.

resultsThe study included 1 903 232 patients (75.7% White [n=1 439 958]; 14.5% Black [n=276 684]; and 9.8% other races [n=186 590]) with heart failure from 1860 hospitals. There was a modest correlation between hospital-level 30-day performance metrics for patients of White versus Black race (Pearson correlation coefficient: RSRR=0.42; RSMR=0.26). Compared with the race-agnostic RSRR and RSMR, composite race-specific metrics for all patients demonstrated stronger correlation with RSRR (correlation coefficient: 0.60 versus 0.74) and RSMR (correlation coefficient: 0.44 versus 0.51) for Black patients. Concordance in hospital performance for all patients and patients of Black race was also higher with race-specific (versus race-agnostic) metrics (RSRR=64% versus 53% concordantly high-performing; 61% versus 51% concordantly low-performing). Race-specific RSRR and RSMR metrics (versus race-agnostic) led to reclassification in performance ranking of 35.8% and 39.2% of hospitals, respectively, with better 30-day and 1-year outcomes for patients of all race groups at hospitals reclassified as high-performing.

conclusionsAmong patients hospitalized with heart failure, race-specific 30-day RSMR and RSRR are more equitable in representing hospital performance for patients of Black and other races.

Indexed as

Heart FailurePatient ReadmissionAgedHospitalizationHospital MortalityHospitalsHumansMedicareUnited Stateshealthcare disparitieshealth policyheart failuremortalitypatient readmissiontreatment outcome

Identifiers

PMID37036906
PMCPMC10765408

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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.