Rodríguez Hector P, Fulton Brent D, Phillips Aryn Z
School of Public Health University of California, Berkeley, CA.
Med Care. 2020 Jun;58 Suppl 6 Suppl 1(Suppl 6 1):S22-S30. doi: 10.1097/MLR.0000000000001276.
The Centers for Medicare & Medicaid Services (CMS) State Innovation Models (SIM) Initiative funds states to accelerate delivery system and payment reforms. All SIM states focus on improving diabetes care, but SIM's effect on 30-day readmissions among adults with diabetes remains unclear.
A quasi-experimental research design estimated the impact of SIM on 30-day hospital readmissions among adults with diabetes in 3 round 1 SIM states (N=671,996) and 3 comparison states (N=2,719,603) from 2010 to 2015. Difference-in-differences multivariable logistic regression models that incorporated 4-group propensity score weighting were estimated. Heterogeneity of SIM effects by grantee state and for CMS populations were assessed.
In adjusted difference-in-difference analyses, SIM was associated with an increase in odds of 30-day hospital readmission among patients in SIM states in the post-SIM versus pre-SIM period relative to the ratio in odds of readmission among patients in the comparison states post-SIM versus pre-SIM (ratio of adjusted odds ratio=1.057, P=0.01). Restricting the analyses to CMS populations (Medicare and Medicaid beneficiaries), resulted in consistent findings (ratio of adjusted odds ratio=1.057, P=0.034). SIM did not have different effects on 30-day readmissions by state.
We found no evidence that SIM reduced 30-day readmission rates among adults with diabetes during the first 2 years of round 1 implementation, even among CMS beneficiaries. It may be difficult to reduce readmissions statewide without greater investment in health information exchange and more intensive use of payment models that promote interorganizational coordination.
医疗保险和医疗补助服务中心(CMS)的州创新模式(SIM)倡议资助各州加速医疗服务提供系统和支付改革。所有参与SIM的州都致力于改善糖尿病护理,但SIM对糖尿病成年患者30天再入院率的影响仍不明确。
采用准实验研究设计,评估2010年至2015年期间,SIM对3个第一轮参与SIM的州(N = 671,996)和3个对照州(N = 2,719,603)中糖尿病成年患者30天医院再入院率的影响。估计采用四组倾向评分加权的差分多变量逻辑回归模型。评估受资助州和CMS人群中SIM效应的异质性。
在调整后的差分分析中,与对照州患者在SIM后与SIM前再入院率比值相比,SIM州患者在SIM后与SIM前期间30天医院再入院几率增加(调整后的比值比=1.057,P = 0.01)。将分析限制在CMS人群(医疗保险和医疗补助受益人)中,结果一致(调整后的比值比=1.057,P = 0.034)。SIM对不同州的30天再入院率没有不同影响。
我们没有发现证据表明在第一轮实施的前两年中,SIM降低了糖尿病成年患者的30天再入院率,即使在CMS受益人中也是如此。如果没有对健康信息交换进行更多投资以及更密集地使用促进组织间协调的支付模式,可能难以在全州范围内降低再入院率。