Multi-criteria decision making for ADHD treatment recommendations

Identifier:  TFM:2528

Handle: https://hdl.handle.net/20.500.11797/TFM2528

Authors:  Martínez Ruiz, Beatriz

Abstract:
Clinical Practice Guidelines often make generalized, “one-size-fits-all” recommendations. APPRAISE-RS and its extension APPRAISE-RS-E improve this by integrating preferences and using Multi-Criteria Decision Analysis (MCDA), yet they remain limited in discrimination and personalization. This project aims to deliver a discriminative ranking of personalized treatment recommendations for ADHD through modifications: a more granular benefit/risk scoring system, expanded preference weightings, full incorporation of preferences, and addition of treatment convenience. Evaluated on 93 patients, the system reduced ranking ties and improved personalization. COPRAS and the modified TOPSIS method performed best. Future work includes integrating cost data and validating the system in real-world clinical settings.