Evidence map›Paper›PMID 37345796›Full record

ArticleJournal of the American Heart Association2023

Variation in Risk-Standardized Acute Admission Rates Among Patients With Heart Failure in Accountable Care Organizations: Implications for Quality Measurement.

Sarah Chuzi, Peter K Lindenauer, Kamal Faridi, Aruna Priya, Penelope S Pekow, Thomas D'Aunno, Kathleen M Mazor, Mihaela S Stefan, Erica S Spatz, Lauren Gilstrap and 2 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sarah ChuziDivision of Cardiology, Department of Medicine Northwestern University Feinberg School of Medicine Chicago IL USA.ORCID 0000-0001-5348-2742
Peter K LindenauerDepartment of Healthcare Delivery and Population Sciences University of Massachusetts Chan Medical School-Baystate Springfield MA USA.
Kamal FaridiDepartment of Healthcare Delivery and Population Sciences University of Massachusetts Chan Medical School-Baystate Springfield MA USA.
Aruna PriyaDepartment of Healthcare Delivery and Population Sciences University of Massachusetts Chan Medical School-Baystate Springfield MA USA.
Penelope S PekowDepartment of Healthcare Delivery and Population Sciences University of Massachusetts Chan Medical School-Baystate Springfield MA USA.
Thomas D'AunnoWagner Graduate School of Public Service at New York University New York NY USA.
Kathleen M MazorDivision of Health Systems Science, Department of Medicine University of Massachusetts Chan Medical School Worcester MA USA.
Mihaela S StefanDepartment of Medicine University of Massachusetts Chan Medical School Springfield MA USA.
Erica S SpatzSection of Cardiovascular Medicine Yale School of Medicine New Haven CT USA.ORCID 0000-0002-1557-7713
Lauren GilstrapHeart and Vascular Center, Dartmouth Hitchcock Medical Center The Dartmouth Institute, Geisel School of Medicine at Dartmouth Lebanon NH USA.ORCID 0000-0002-5716-8176
Rachel M WernerLeonard Davis Institute of Health Economics and Perelman School of Medicine University of Pennsylvania; Corporal Michael J. Crescenz VA Medical Center Philadelphia PA USA.
Tara LaguInstitute for Public Health and Medicine, Northwestern University Feinberg School of Medicine Chicago IL USA.ORCID 0000-0001-6155-5796

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Identifying effective strategies used by Medicare Accountable Care Organizations to improve outcomes for patients with heart failure: A mixed-methods studyR01HL139985 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LAGU, TARA C · 2018 to 2021
$2.8M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL139985
6 · The paper itself

Abstract

Background Accountable care organizations (ACOs) aim to improve health care quality and reduce costs, including among patients with heart failure (HF). However, variation across ACOs in admission rates for patients with HF and associated factors are not well described. Methods and Results We identified Medicare fee-for-service beneficiaries with HF who were assigned to a Medicare Shared Savings Program ACO in 2017 and survived ≥30 days into 2018. We calculated risk-standardized acute admission rates across ACOs, assigned ACOs to 1 of 3 performance categories, and examined associations between ACO characteristics and performance categories. Among 1 232 222 beneficiaries with HF, 283 795 (mean age, 81 years; 54% women; 86% White; 78% urban) were assigned to 1 of 467 Medicare Shared Savings Program ACOs. Across ACOs, the median risk-standardized acute admission rate was 87 admissions per 100 people, ranging from 61 (minimum) to 109 (maximum) admissions per 100 beneficiaries. Compared to the overall average, 13% of ACOs performed better on risk-standardized acute admission rates, 72% were no different, and 14% performed worse. Most ACOs with better performance had fewer Black beneficiaries and were not hospital affiliated. Most ACOs that performed worse than average were large, located in the Northeast, had a hospital affiliation, and had a lower proportion of primary care providers. Conclusions Admissions are common among beneficiaries with HF in ACOs, and there is variation in risk-standardized acute admission rates across ACOs. ACO performance was associated with certain ACO characteristics. Future studies should attempt to elucidate the relationship between ACO structure and characteristics and admission risk.

Indexed as

Accountable Care OrganizationsHeart FailureHospitalizationAgedAged, 80 and overCosts and Cost AnalysisFemaleHumansMaleMedicareUnited Statesaccountable care organizationsheart failureheart failure admissionsheart failure qualityrisk‐standardized admission rates

Identifiers

PMID37345796
PMCPMC10356066

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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.