ArticleAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2026
Evaluation of Potentially Inappropriate Medications Prescribed to Older Adults Upon Emergency Department Discharge.
Article in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Evaluation of Potentially Inappropriate Medications Prescribed to Older Adults Upon Emergency Department Discharge.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOlder adults are susceptible to adverse drug effects due to age-related changes, a higher prevalence of comorbidities, and complexities in medication management. Nearly half of geriatric patients are prescribed at least one new medication at ED discharge. This study evaluated potential pharmacist interventions on ED discharge prescriptions for older adults using the Geriatric Emergency Medicine Safety Recommendations (GEMS-Rx) list.
methodsThis single-center, IRB-approved, retrospective review analyzed ED discharge prescriptions for potentially inappropriate medications based on GEMS-Rx criteria from October 2021 to September 2024 for patients ≥ 65 years who were discharged from the ED. Prescriptions were reviewed by a trained pharmacist for medication-related problems (MRPs). Outcomes included: rate of potential pharmacist intervention, number of prescriptions with at least one MRP, MRP types, missing risk vs. benefit documentation, rates of current practice pharmacist review, two or more GEMS-Rx prescriptions at discharge, and polypharmacy. All prescriptions during the study period were reviewed to determine medication sub-class distribution, with a random sample of 250 patients, ensuring at least 10 prescriptions per sub-class, if available. Descriptive statistics were utilized.
resultsDuring the study period, 1458 prescriptions were written for included sub-classes. Of 284 prescriptions screened, 265 (for 250 patients) were included. The median (IQR) age was 69.5 (67-75) years with patients on a median (IQR) of 5 (3-8) scheduled home medications and discharged with a median (IQR) of 2 (1-3) new medications. Skeletal muscle relaxants (37.0%) and first-generation antihistamines (28.7%) were most frequent. Pharmacist intervention was potentially needed in 204 patients (81.6.%) with a median (IQR) of 2 (1, 2) MRPs per patient. Common MRPs included dose adjustment (53.2%), indication mismatch (41.1%), and frequency (38.1%).
conclusionsMost GEMS-Rx prescriptions had at least one MRP, indicating an opportunity for enhanced prescribing. Future research should target strategies to optimize medications at ED discharge for older adults.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.