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Risk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations

Rationale, Methods, and Early Results

Dados Bibliográficos

ID9104838
AutoresErica S Spatz (0000-0002-1557-7713, Section of Cardiovascular Medicine, Yale University School of Medicine, autor correspondente), Kasia J Lipska (0000-0002-0348-742X, Center for Outcomes Research and Evaluation, Yale-New Haven Hospital), Ying Dai (0000-0001-5139-9347, Yale New Haven Hospital), Dai Ying (0009-0001-5761-6557, Center for Outcomes Research and Evaluation, Yale-New Haven Hospital), Haikun Bao (Center for Outcomes Research and Evaluation, Yale-New Haven Hospital), Zhenqiu Lin (0000-0002-3089-141X, Center for Outcomes Research and Evaluation, Yale-New Haven Hospital), Craig S Parzynski (0000-0002-6178-4043, Center for Outcomes Research and Evaluation, Yale-New Haven Hospital), Faseeha K Altaf (Center for Outcomes Research and Evaluation, Yale-New Haven Hospital), Faseeha Altaf (Yale New Haven Hospital), Erin K Joyce (Center for Outcomes Research and Evaluation, Yale-New Haven Hospital), Julia Montague (0009-0006-2231-1530, Yale New Haven Hospital), Julia A Montague (Center for Outcomes Research and Evaluation, Yale-New Haven Hospital), James Stirling Ro (0000-0002-9218-3320, Yale New Haven Hospital), Joseph S Ross (Center for Outcomes Research and Evaluation, Yale-New Haven Hospital), Susannah M Bernheim (0000-0001-5651-9694, Center for Outcomes Research and Evaluation, Yale-New Haven Hospital), Harlan M Krumholz (0000-0003-2046-127X, Section of Cardiovascular Medicine, Yale University School of Medicine, autor correspondente), Elizabeth E Drye (0009-0006-9687-6075, Center for Outcomes Research and Evaluation, Yale-New Haven Hospital)
Ano2016
Volume54
Fascículo5
Páginas528-537
Data de publicação2016-05-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000518
PMID26918404
OpenAlexW2325202472
IdiomaEN
Citações recebidas3
Referências citadas26

BACKGROUND: Population-based measures of admissions among patients with chronic conditions are important quality indicators of Accountable Care Organizations (ACOs), yet there are challenges in developing measures that enable fair comparisons among providers. METHODS: On the basis of consensus standards for outcome measure development and with expert and stakeholder input on methods decisions, we developed and tested 2 models of risk-standardized acute admission rates (RSAARs) for patients with diabetes and heart failure using 2010-2012 Medicare claims data. Model performance was assessed with deviance R; score reliability was tested with intraclass correlation coefficient. We estimated RSAARs for 114 Shared Savings Program ACOs in 2012 and we assigned ACOs to 3 performance categories: no different, worse than, and better than the national rate. RESULTS: The diabetes and heart failure cohorts included 6.5 and 2.6 million Medicare Fee-For-Service beneficiaries aged 65 years and above, respectively. Risk-adjustment variables were age, comorbidities, and condition-specific severity variables, but not socioeconomic status or other contextual factors. We selected hierarchical negative binomial models with the outcome of acute, unplanned hospital admissions per 100 person-years. For the diabetes and heart failure measures, respectively, the models accounted for 22% and 12% of the deviance in outcomes and score reliability was 0.89 and 0.81. For the diabetes measure, 51 (44.7%) ACOs were no different, 45 (39.5%) were better, and 18 (15.8%) were worse than the national rate. The distribution of performance for the heart failure measure was 61 (53.5%), 37 (32.5%), and 16 (14.0%), respectively. CONCLUSION: Measures of RSAARs for patients with diabetes and heart failure meet criteria for scientific soundness and reveal important variation in quality across ACOs

Diabetes mellitus · Environmental health · Heart failure · Intensive care medicine · Intraclass correlation · Population · Psychometrics · Socioeconomic status · Chronic Disease Management Strategies · Diabetes Management and Education · Emergency Medicine · Internal Medicine · Medicine · Primary Care and Health Outcomes

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    Yi-Ling Lin, Yiling Lin et al.•Family & Community Health•2018

  • The Effects of Medicare Accountable Organizations on Inpatient Mortality Rates

    Open Access•Eli Cutler, Zeynal Karaca et al.•INQUIRY The Journal of Health…•2018

  • Defining Multiple Chronic Conditions for Quality Measurement

    Elizabeth E Drye, Faseeha K Altaf et al.•Medical Care•2018

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    J R Landis, Gary G Koch•Biometrics•1977

  • R-Squared Measures for Count Data Regression Models with Applications to Health-Care Utilization

    A Colin Cameron, Frank Windmeijer et al.•Journal of Business and Economic…•1996

  • Intraclass correlations

    Patrick E Shrout, Joseph L Flei et al.•Psychological Bulletin•1979

Obras citantes distintas3
Citações por ano0,38
Intervalo de citações2018 - 2018 (1)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 3
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