Alerting on adverse Drug reactions: Falls prevention Improvement through developing a Computerized clinical support system: Effectiveness of Individualized medicaTion withdrawal (ADFICE_IT)
General aim of the project
The aim of the ADFICE_IT project is to improve joint medication management and to reduce incidence of falls through the implementation of a clinical decision support system that provides personalized risk estimates for medication-related falls.
General description of the project
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.
Specific objectives and deliverables
The ADFICE_IT project has the following objectives:
1a: Develop and evaluate prediction and explorative models for falls in older persons that use fall-risk increasing drugs and incorporate these models in a CDSS/patient portal
1b: Test the CDSS/patient portal among end-users and adapt the prototype. The key output is a ready-to-implement CDSS/patient portal
2: Implement the CDSS/patient portal across ten fall clinics and evaluate the intervention in a multi-center RCT with process evaluation
Betrokken onderzoekers
Bob van de Loo, MSc
Kelly de Wildt, MSc
Sara Groos, MSc
Martijn W. Heijmans, PhD
Annemiek Linn, PhD
Stephanie Medlock, PhD
Prof. Ameen Abu-Hanna, PhD
Prof. Julia van Weert, PhD
Natasja M. van Schoor, PhD
