PhD defence N. (Newel) Salet

Below is a brief summary of the dissertation:

This thesis examines how the different domains of the strategic value agenda, specifically related to the topics of measurement and prediction of outcomes and costs, efficiency of data utilization, and introduction of value-based payment, can contribute to better care. The aim was to reduce three knowledge gaps related to these topics. First, we explore how to measure and interpret variations in healthcare outcomes and costs. This information is essential for informed decision-making regarding interventions to improve care. Second, the significance of prognostic factors and prediction models in relation to yielding clinically relevant insights was explored. Prognostic factors can aid in identifying at-risk patients and estimating disease prognosis, offering insights for clinical decisions and resource allocation. In turn, prediction models can make outcome predictions, guiding treatment decisions and optimizing care pathways, ultimately improving clinical decision-making and treatment responses. Third, the obstacles and enablers for implementing value-driven care at various levels were explored, focusing on the intricate dynamics of value-based payment programs and the role of financial incentives, organizational culture, and resistance to change. Furthermore, strategies to overcome the observed challenges in implementing value-driven care were discussed.