WORK PACKAGE 4

• In this work package an analytical framework will be developed that assembles different forms of evidence into a multi-criteria decision analysis (MCDA). Specific tasks are:

1. To select the MCDA method that will be applied.
2. Select, define, develop and prepare the collection of outcomes, including indicators specifically relevant for the evaluation of ICC models of multi-morbidity.
3. To develop methods to collect healthcare utilization and other cost categories that will be included in the evaluation.
4. To determine the importance of the various outcomes and indicators from the perspectives of 5 different stakeholder groups (5P’s).

• To construct study designs and fitting statistical techniques to ensure causal inference between the implementation of ICC and the outcomes.

An analytical framework will be developed that assembles all evidence into a MCDA. A wide range of potential outcomes and indicators at different levels (individual, organizational, and regional) will be considered. We will pre-specify which type of analyses are accepted to support any claim of improvement in these outcomes. Relevant healthcare utilization costs will identified and possibilities to collect this data will be determined. Weight elicitation methods like discrete choice experiment (DCE) will be used to estimate how important the outcomes are to the 5Ps:

1. Patients with multi-morbidity,
2. Partners and family members of patients with multi-morbidity who often take the role of informal caregivers,
3. Professionals and organizations who provide health and social care, and who conduct research in this field,
4. Payers, such as health care budget holders and health insurers, and
5. Policy makers.