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Early Impact of the State Innovation Models Initiative on Diagnosed Diabetes Prevalence Among Adults and Hospitalizations Among Diagnosed Adults

Dados Bibliográficos

ID9102962
AutoresBrent D Fulton (0000-0002-8305-4711, Health Economics and Policy, School of Public Health, autor correspondente), Nianyi Hong (School of Public Health), Hector P Rodriguez (0000-0002-6564-2229, Henry J. Kaiser Endowed Chair in Organized Health Systems, School of Public Health, University of California, Berkeley, Berkeley, CA)
Ano2019
Volume57
Fascículo9
Páginas710-717
Data de publicação2019-09-01
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.0000000000001161
PMID31295167
OpenAlexW2962569726
IdiomaEN
Citações recebidas2
Referências citadas22

BACKGROUND: The State Innovation Models (SIM) Initiative invested $254 million in 6 states in Round 1 to accelerate delivery system and payment reforms. OBJECTIVE: The objective of this study was to examine the association of early SIM implementation and diagnosed diabetes prevalence among adults and hospitalization rates among diagnosed adults. RESEARCH DESIGN: Quasi-experimental design compares diagnosed diabetes prevalence and hospitalization rates before SIM (2010-2013) and during early implementation (2014) in 6 SIM states versus 6 comparison states. County-level, difference-in-differences regression models were estimated. SUBJECTS: The annual average of 4.5 million adults aged 20+ diagnosed with diabetes with 1.4 million hospitalizations in 583 counties across 12 states. MEASURES: Diagnosed diabetes prevalence among adults and hospitalization rates per 1000 diagnosed adults. RESULTS: Compared with the pre-SIM period, diagnosed diabetes prevalence increased in SIM counties by 0.65 percentage points (from 10.22% to 10.87%) versus only 0.10 percentage points (from 9.64% to 9.74%) in comparison counties, a difference-in-differences of 0.55 percentage points. The difference-in-differences regression estimates ranged from 0.49 to 0.53 percentage points (P<0.01). Regression results for ambulatory care-sensitive condition and all-cause hospitalization rates were inconsistent across models with difference-in-differences estimates ranging from -5.34 to -0.37 and from -13.16 to 0.92, respectively. CONCLUSIONS: SIM Round 1 was associated with higher diagnosed diabetes prevalence among adults after a year of implementation, likely because of SIM's emphasis on detection and care management. SIM was not associated with lower hospitalization rates among adults diagnosed with diabetes, but the SIM's long-term impact on hospitalizations should be assessed

Ambulatory · Diabetes mellitus · Percentage point · Statistics · Young adult · Chronic Disease Management Strategies · Demography · Diabetes Management and Education · Health Policy Implementation Science · Internal Medicine · Medicine · Gerontology · Pediatrics

  • The impact of the State Innovation Models Initiative on population health

    Open Access•Partha Deb, Anjelica Gangaram et al.•Economics & Human Biology•2021

  • The Early Impact of the Centers for Medicare & Medicaid Services State Innovation Models Initiative on 30-Day Hospital Readmissions Among Adults With Diabetes

    Hector P Rodriguez, Brent D Fulton et al.•Medical Care•2020

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    Open Access•American Diabetes Association•Diabetes Care•2018

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    Andy Menke, Sarah Stark Casagrande et al.•JAMA•2015

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    Open Access•Melissa M Garrido, Amy S Kelley et al.•Health Services Research•2014

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    Open Access•Peter C Austin, Elizabeth A Stuart•Statistics in Medicine•2015

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    Paul R Rosenbaum, Donald B Rubin•Biometrika•1983

  • How Much Should We Trust Differences-In-Differences Estimates?

    M Bertrand, Esther Duflo et al.•The Quarterly Journal of Economics•2004

Obras citantes distintas2
Citações por ano0,33
Intervalo de citações2020 - 2021 (2)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 1
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