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OBJECTIVES: An increasing number of federal initiatives allow states flexibility in selecting the strategies used to achieve initiative-specific goals. Variation in the foci and intensity of implementation may explain why federal policy initiatives succeed in some states and fail in others. The CMS State Innovation Models (SIM) initiative is a complex policy intervention implemented with substantial variation across states and may have variable impacts. This paper presents a method to characterize and account for that variation in states' implementation foci and intensity in natural policy experiments. STUDY DESIGN: A combination of quantitative and qualitative measures of SIM implementation was used to characterize the foci of payment and delivery system reforms across states. METHODS: A modified Delphi expert panel process was used to prioritize the features of SIM implementation that would differentiate grantee states with respect to improved health outcomes. Three researchers then reviewed summaries of published evaluations and reports to characterize and score states on each implementation feature. Expert panelists guided the researchers on developing the criteria and weights applied to the focus areas when calculating SIM implementation intensity scores for states. RESULTS: Over 3 years of an expert panel process, 4 dimensions of SIM implementation that would most affect health outcomes were prioritized: 1) extent and breadth of stakeholder engagement, (2) extent that SIM implementation was focused on improving behavioral health, (3) amount of SIM funding per capita, and (4) breadth and depth of value-based payment reforms. Scoring states based on the prioritized factors resulted in composite scores that differentiated states into 3 categories: high, moderate, and low implementation intensity. CONCLUSIONS: We developed a stakeholder-driven method to measure and account for variation in implementation foci and intensity in a federal policy initiative that was implemented heterogeneously across grantee ...

The Centers for Medicare and Medicaid Services' (CMS) State Innovation Models (SIMs) initiative funded 17 states to implement health care payment and delivery system reforms to improve health system performance. Whether SIM improved health information technology (HIT) and care management capabilities of physician practices, however, remains unclear. National surveys of physician practices ( N = 2,722) from 2012 to 2013 and 2017 to 2018 were linked. Multivariable regression estimated differential adoption of 10 HIT functions and chronic care management processes (CMPs) based on SIM award status (SIM Round 1, SIM Round 2, or non-SIM). HIT and CMP capabilities improved equally for practices in SIM Round 1 (5.3 vs. 6.8 capabilities, p < .001), SIM Round 2 (4.7 vs. 7.0 capabilities, p < .001), and non-SIM (4.2 vs. 6.3 capabilities, p < .001) states. The CMS SIM Initiative did not accelerate the adoption of ten foundational physician practice capabilities beyond national trends.

The use of evidence-based care management processes (CMPs) in physician practice is an important component of delivery-system reform.The authors used data from a 2006-2007 national study of large physician organizations—medical groups and independent practice associations (IPAs) to determine the extent to which organizations use CMPs, and to identify external (market) influences and organizational capabilities associated with CMP use. The study found that physician organizations use about half of recommended CMPs, most commonly disease registries, specially trained patient educators, and performance feedback to physicians. Physician organizations that reported participating in quality improvement programs, having a patient-centered focus, and being owned by a hospital or health maintenance organization used more CMPs. IPAs and very large medical groups used more CMPs than smaller groups. Organizations externally evaluated on quality measures used more CMPs than other organizations. These findings can inform efforts to stimulate the adoption of best practices for chronic illness care.