Abstract

Objectives: A structured and comprehensive assessment of disease management implementations is not straightforward due to the broadness of the interventions and the various evaluation possibilities. The aim of this study was to develop a comprehensive framework for outcome measurement of disease management programs based on the triple aim framework of the Institute for Healthcare Improvement to facilitate future performance assessment using multi-criteria decision analysis (MCDA). Methods: Based on literature review and our expertise in performing economic evaluations in disease management we identified domains of outcomes for each aim of the triple aim framework. For each domain we identified indicators to assess the performance of disease management programs. Results: The first aim of the framework, population health improvement, was subdivided into the domains health-adjusted life years, mortality, wellbeing, health-related quality of life (HrQol), complications, symptoms, clinical outcomes, healthy behaviour, knowledge, and self-management skills. The second aim, improvement of patient experience, was subdivided into patient involvement, patient centeredness, continuity of care, coordination, communication, information systems, safety and access. The third aim of cost reductions distinguished program, medical and nonmedical costs. Potential Indicators of the identified sub-criteria include the ASCOT (Adult Social Care Outcomes Toolkit) for measuring wellbeing, smoking rates and BMI (Body Mass Index) to measure healthy behaviour, the EuroQol-5D and Short Form-36 for measuring physical, mental and social HrQol, different dimensions of the PACIC (Patient Assessment of Chronic Illness Care) and CAHPS (Consumer Assessment of Healthcare Providers and Systems) for measuring patient experience and several measurement tools for measuring friction costs and costs of informal care. Conclusions: In designing a structured outcome-based framework for the performance evaluation of disease management programs we paved the way for future work including a comprehensive evaluation of disease management using MCDA. MCDA not only requires measurement of indicators but also weighting of their relative importance.

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