Effects of a Clinical Decision Support System and Patient Portal for Preventing Medication-related Falls in Older Fallers: Protocol of a Cluster Randomized Controlled Trial with Embedded Process and Economic Evaluations (ADFICE_IT)

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2023 Sep 26

PMID 37751429

Authors

Kelly K de Wildt

Bob van de Loo

Annemiek J Linn

Stephanie K Medlock

Sara S Groos

Kim J Ploegmakers

Lotta J Seppala

Judith E Bosmans

Ameen Abu-Hanna

Julia C M van Weert

Natasja M van Schoor

Nathalie Van der Velde

Affiliations

Soon will be listed here.

Abstract

Background: Falls are the leading cause of injury-related mortality and hospitalization among adults aged ≥ 65 years. An important modifiable fall-risk factor is use of fall-risk increasing drugs (FRIDs). However, deprescribing is not always attempted or performed successfully. The ADFICE_IT trial evaluates the combined use of a clinical decision support system (CDSS) and a patient portal for optimizing the deprescribing of FRIDs in older fallers. The intervention aims to optimize and enhance shared decision making (SDM) and consequently prevent injurious falls and reduce healthcare-related costs.

Methods: A multicenter, cluster-randomized controlled trial with process evaluation will be conducted among hospitals in the Netherlands. We aim to include 856 individuals aged ≥ 65 years that visit the falls clinic due to a fall. The intervention comprises the combined use of a CDSS and a patient portal. The CDSS provides guideline-based advice with regard to deprescribing and an individual fall-risk estimation, as calculated by an embedded prediction model. The patient portal provides educational information and a summary of the patient's consultation. Hospitals in the control arm will provide care-as-usual. Fall-calendars will be used for measuring the time to first injurious fall (primary outcome) and secondary fall outcomes during one year. Other measurements will be conducted at baseline, 3, 6, and 12 months and include quality of life, cost-effectiveness, feasibility, and shared decision-making measures. Data will be analyzed according to the intention-to-treat principle. Difference in time to injurious fall between the intervention and control group will be analyzed using multilevel Cox regression.

Discussion: The findings of this study will add valuable insights about how digital health informatics tools that target physicians and older adults can optimize deprescribing and support SDM. We expect the CDSS and patient portal to aid in deprescribing of FRIDs, resulting in a reduction in falls and related injuries.

Trial Registration: ClinicalTrials.gov NCT05449470 (7-7-2022).

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