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This presentation outlines a robust evaluation approach for a healthcare innovation model implementation, focusing on quality metrics, data feedback, and continuous improvement. The plan includes self-evaluation strategies, impact assessment, and research collaborations. Core components involve process evaluation, cost-effectiveness analysis, and impact assessment on care coordination and patient experiences.
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SIM Evaluation Approach Presentation to the SIM Steering Committee September 25, 2013
Goals • Establish a common set of quality/performance metrics. • Develop system for continuous feedback of performance data to providers and SIM stakeholders that supports data driven decision making, and continuous improvement. • Design and implement a robust evaluation that describes and documents the implementation of model interventions and assesses the impact of the innovation model on improving the quality of care, patient experiences, and reducing costs. • Establish a local research collaborative and research program to test the effectiveness of healthcare innovationsand interventions and facilitates the spread of best practices.
Evaluation Components • Participation in CMMI Cross-Site Evaluation • Design and implement a State-Specific Self Evaluation
CMMI Cross Site Evaluation Strategy Three part strategy: • Design and data collection • Rapid cycle evaluation of state models • Impact evaluation
Self Evaluation: Core Components • Implementation/Process Evaluation • Cost Effectiveness Evaluation • Impact/Effectiveness Evaluation
Evaluation Questions • Does the model implementation lead to changes in service utilization patterns and reduction in costs? • Does the model lead to improved care coordination and less fragmentation of care and, if so, for what populations? • Does the model lead to improved processes of care? • To what extent does the model improve the level of integration of physical and behavioral health across Maine’s health care system?
Evaluation Questions (Continued) • Does the model lead to improved beneficiary health, wellbeing, functioning and reduced health risk behaviors? • Does the model lead to improved beneficiary experiences of care and perception of services ? • What factors influence the adoption and spread of model enhancements? • To what extent are model components implemented consistently and with fidelity? • What system, practice, and beneficiary level factors are associated with the model outcomes?
Evaluation Work Plan Highlights • Draft RFP for Evaluation Contractor (Sep. 2013) • Select evaluator and execute a contract (Nov. 2013) • Identify committee members and convene Evaluation Committee (Nov. 2013) • Review and refine evaluation logic model with Innovation Model partners and Stakeholders (Dec. 2013) • Identify core quality/performance metrics for use in evaluation and performance monitoring (Dec. 2013) • Develop study design, data collection, and analytics plan for local implementation study, economic/cost study, and impact evaluation (Jan. – Mar. 2014) • Work with CMMI to develop and test standardized data collection and rapid cycle evaluation protocols(Jan. – Apr. 2014). • Implement data collection for local self-evaluation studies (Jul. 2014) • Implement data collection for CMMI Cross-Site model implementation and impact evaluation components (Jul. 2014)
