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Early Impact of the State Innovation Models Initiative on Diagnosed Diabetes Prevalence among Adults and Hospitalizations among Diagnosed Adults
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9 2019
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Source: Med Care. 57(9):710-717
[PDF-825.42 KB]
Details:
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Alternative Title:Med Care
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Personal Author:
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Description:Background:
The State Innovation Models (SIM) Initiative invested $254 million in 6 states in Round 1 to accelerate delivery system and payment reforms.
Objectives:
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:
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 SIM’s long-term impact on hospitalizations should be assessed.
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Source:
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Pubmed ID:31295167
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Pubmed Central ID:PMC6690748
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Document Type:
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Funding:
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Volume:57
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Issue:9
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