Exploring Patient Multimorbidity and Complexity Using Health Insurance Claims Data: A Cluster Analysis Approach.
Anna NicoletDan AssoulineMarie-Annick Le PogamClemence PerraudinChristophe BagnoudJoël WagnerJoachim MartiIsabelle Peytremann-BridevauxPublished in: JMIR medical informatics (2022)
Our study demonstrated that cluster analysis based on pharmacy-based cost group information from claims-based data is feasible and highlights clinically relevant clusters. Such an approach allows expanding the understanding of multimorbidity beyond simple disease counts and can identify the population profiles with increased health care use and costs. This study may foster the development of integrated and coordinated care, which is high on the agenda in policy making, care planning, and delivery.