Performance of a trigger tool for detecting drug-related hospital admissions in older people: analysis from the OPERAM trial

• DOI: 10.1093/ageing/afab196
• Publication Date: 2021-09-09T12:10:58Z
• Authors: Lorène Zerah; Séverine Henrard; Stefanie Thevelin; Martin Feller; Carla Meyer-Massetti; Wilma Knol; Ingeborg Wilting; Denis O’Mahony; Erin Crowley; Olivia Dalleur; Anne Spinewine
• Keywords: drug-related hospital admissions; [SDV.MHEP.GEG] Life Sciences [q-bio]/Human health and pathology/Geriatry and gerontology; Drug-Related Side Effects and Adverse Reactions; trigger tool; 16. Peace & justice; drug-related side effects and adverse reaction; Hospitals; 3. Good health; [SDV.SP] Life Sciences [q-bio]/Pharmaceutical sciences; older people; Hospitalization; hospital admission; Ageing; Pharmaceutical Preparations; [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie; Polypharmacy; adverse drug events; Humans; Geriatrics and Gerontology; Aged; Retrospective Studies

AbstractBackgroundidentifying drug-related hospital admissions (DRAs) in older people is difficult. A standardised chart review procedure has recently been developed. It includes an adjudication team (physician and pharmacist) screening using 26 triggers and then performing causality assessment to determine whether an adverse drug event (ADE) occurred (secondary to an adverse drug reaction, overuse, misuse or underuse) and whether the ADE contributed to hospital admission (DRA).Objectiveto assess the performance of those triggers in detecting DRA.Designretrospective study using data from the OPERAM (OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people) trial.Settingsfour European medical centres.Subjectsmultimorbid (≥ 3 chronic medical conditions) older (≥ 70 years) inpatients with polypharmacy (≥ 5 chronic medications) were enrolled in the OPERAM trial (N = 2,008) and followed for 12 months. We included patients with ≥1 adjudicated hospitalisation during the follow-up.Methodsthe positive predictive value (PPV; number of DRAs identified by trigger/number of triggers) was calculated for each trigger and for the tool as a whole.Resultsof 1,235 hospitalisations adjudicated for 832 patients, 716 (58%) had at least one trigger; an ADE was identified in 673 (54%) and 518 (42%) were adjudicated as DRAs. The overall PPV of the trigger tool for detecting DRAs was 0.66 [0.62–0.69].Conclusionsthis tool performs well for identifying DRAs in older people. Based on our results, a revised version of the tool was proposed but will require external validation before it can be incorporated into research and clinical practice.