Related Experiment Video
Updated: Feb 28, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Development of a Trigger Tool to Identify Adverse Drug Events in Elderly Patients With Multimorbidity
María Dolores Toscano Guzmán1, Mercedes Galván Banqueri2, María José Otero3
1From the UGC de Farmacia del Complejo Hospitalario Universitario de Huelva, Huelva.
Purpose:
Elderly patients with multimorbidity are especially vulnerable to adverse drug events (ADEs) and had high prevalence rates. Identifying ADEs is essential for enabling timely interventions that can mitigate the adverse events detected and for developing targeted strategies to prevent their occurrence as well as to monitor implementation. The aim of this study was to develop a set with appropriate triggers for detecting potential ADEs in elderly patients with multimorbidity.
Methods:
A modified Delphi methodology was used to reach consensus. Existing triggers for detecting ADEs in adult patients were identified from a literature search in several databases (EMBASE, MEDLINE, Web of Science, Centre for Reviews and Dissemination, and Cochrane Library) and from Institute for Healthcare Improvement published lists. Twelve experts in patient/medication safety or in chronic diseases scored candidate triggers for appropriateness according to 3 criteria (evidence, usefulness for elderly patients, and feasibility of implementation in clinical practice).
Results:
Seventy-two triggers were initially selected to be evaluated. The final set includes a total of 51 triggers for which the panelists who completed the 2 rounds of evaluation reached agreement. These triggers were organized into 5 modules: 11 as care module triggers, 10 as antidotes/treatment, 11 medication concentrations, 18 abnormal laboratory values, and 1 as emergency department trigger.
Conclusions:
A set of triggers for detecting ADEs in elderly patients with multimorbidity have been developed, following the consensus of a panel of experts. Subsequent validation in clinical practice is needed to confirm the accuracy and efficiency of these triggers for this population.
More Related Videos
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
11:21Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Related Concept Videos
Drug Dosing: Geriatric Patients
Drug Toxicity: Risk factors
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Pharmacodynamics in Geriatric Patients: Effects of Age
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Absorption
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Metabolism