Children of parents with mental illness (COPMI) face a heightened risk of developing mental disorders themselves. While the literature underscores the importance of early interventions, there is a scarcity of studies investigating the economic implications of such interventions. This project seeks to bridge this gap by constructing a health economic model that synthesizes both clinical and economic data, enabling a comprehensive analysis of the potential benefits and costs associated with different intervention approaches.
Hence, in this project, we will develop a health economic simulation model to examine the cost-effectiveness of interventions targeting these children/families. The ultimate goal is to demonstrate the added value of these interventions for children, their parents, and society as a whole.
Upon completion, the health economic model will provide a quantifiable assessment of the economic value of various interventions for children of parents with mental illness. It will enable decision-makers to compare the costs and benefits of different strategies, facilitating resource allocation based on a comprehensive understanding of both short-term and long-term outcomes. Sensitivity analyses will be conducted to assess the robustness of the model to variations in input parameters, and scenario analyses will explore the impact of different assumptions and policies.