Withdrawal of fall-risk increasing drugs is a promising intervention for decreasing fall incidence. However, fall-risk increasing drugs are only rarely deprescribed if a patient endures a fall. Physicians have difficulty identifying which patients are most at risk of medication-related falls. In addition, awareness of medication management as an important fall prevention strategy is low among patients. In the ADFICE_IT project, we will develop and evaluate a clinical decision support system (CDSS) and patient portal that provide personalized risk estimates for medication-related falls. The aim of this intervention is to improve joint medication management between patients and physicians and to reduce incidence of injurious falls.

The implementation of the intervention will follow two phases. In the first phase, we will develop prediction and explorative models for falls in older adults and incorporate these models in a CDSS/patient portal. The models will be developed using harmonized data from cohort studies of older adults. The prototypes of the CDSS/patient portal will be tested and adapted through usability studies and a pilot study among end-users. In the second phase, the CDSS/patient portal will be implemented across ten fall clinics and the intervention will be evaluated in a multi-center RCT with process evaluation.
Effective start/end date01/07/202031/12/2024

ID: 27215600