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Efficacy, feasibility and acceptability of the OptiMEDs tool for multidisciplinary medication review in nursing homes
Maarten Wauters1, Monique Elseviers2, Robert Vander Stichele3
1Department of Basic and Applied Medical Sciences, Clinical Pharmacology Research Unit, Ghent University, Ghent, Belgium.
Aim(S):
Exploring efficacy, feasibility and acceptability of a complex multifaced intervention (OptiMEDs) supporting multidisciplinary medication reviews in Belgian nursing homes (NHs).
Methods:
A pilot study in 2 intervention, 1 control NH was held, involving dementia and non-dementia NH residents (>65 years). OptiMEDs provided automated assessment of possible inappropriate medications (PIMs) and patient-specific nurse observation lists of potential side-effects. Medication changes were evaluated one month after the medication review. Feasibility and acceptability was collected via surveys among the health-care professionals. Trial registration NCT04142645, 31/10/2019.
Results:
Participants (n = 148, n = 100 in the intervention NHs) had a mean age of 87.2 years, with 75.0% females and 49.3% non-dementia patients. Prevalence of PIM use was 84.7% and of potential medication side-effects 84.5%, (range 1-19 per resident). One month after the intervention, the medication use decreased in 35.8% and PIM use in 25.9% of surviving intervention NHresidents (n = 88). GPs changed more medications when side-effects were observed (42% when side-effects present versus 12% when no side-effects, p = 0.019). Median workload for nurses was 45 min, 20 for pharmacists, and 8 for GPs. User satisfaction for the OptiMEDs tool was high (n = 33, median score of 8, IQR 6 -8), with GPs (n = 19) showing the highest appreciation. Nurses (n = 9) reported a median score on the System Usability Scale of 70 (IQR 55 - 72), with lower scores for learnability aspects.
Conclusion:
The OptiMEDs intervention was feasible and user-friendly, showing decreases in the medication and PIM use; without affecting patient safety. A cluster-randomized trial is needed to explore impact on patient-related outcomes.
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