Association Between Real‐Time Alerts in Electronic Prescribing Systems and Potentially Inappropriate Prescribing Among Older Adults
BACKGROUND: Older adults are highly susceptible to adverse effects from potentially inappropriate medications (PIMs). Real-time clinical decision support systems (CDSS) may reduce unsafe prescribing; yet evidence from low- and middle-income countries is limited. This study assessed the association between a national electronic alert system and outpatient PIM prescribing in Iran. METHODS: We examined 230,719 electronic outpatient prescriptions for adults aged 65 years and older. Prescriptions from May to August 2023 (pre-alert) were compared with those from May to August 2024 (post-alert). The primary outcome was the proportion of prescriptions containing ≥ 1 PIM, defined using the 2023 AGS Beers Criteria. Subgroup analyses stratified outcomes by age, sex, physician specialty, and drug class. RESULTS: Across 2023-2024, 230,719 prescriptions were recorded. After alert implementation, the greatest reductions occurred in adults aged 85-100 years (-9.85%) and in women (-7.89%). Significant declines were also observed in gastrointestinal drugs (-14.14%), pain medications (-11.99%), central nervous system agents (-3.03%), antihistamines (-4.60%), and in specific medications including ketorolac, clidinium-chlordiazepoxide, methocarbamol, nortriptyline, chlorpheniramine, indomethacin, and dicyclomine. By specialty, the largest reductions were seen in Surgery (-18.13%), Internal Medicine (-12.56%), and General Practice (-6.99%). CONCLUSIONS: A national, real-time, non-interruptive alert system was associated with meaningful reductions in PIM prescribing among older adults. Scalable CDSS tools may enhance medication safety in resource-constrained settings.
Authors
- Zahra Aminzade (ORCID: https://orcid.org/0000-0002-2018-3436)
- Mohammad Effatpanah (ORCID: https://orcid.org/0000-0001-5344-7699)
- Iravan Masoudi Asl (ORCID: https://orcid.org/0000-0002-0389-9571)
- Mohamad Mehdi Nasehi
- Leila Ghamkhar (ORCID: https://orcid.org/0000-0003-4979-748X)
- Mohammad Gholamnezhad
- Nezam Armand
- Reza Mehrizi
- Hossein Karami
- Saba Mirian
Institutions
- Iran University of Medical Sciences (IR)
- Iran National Science Foundation (IR)
- Imam Khomeini Hospital (IR)
- Islamic Azad University Medical Branch of Tehran (IR)
- Islamic Azad University Central Tehran Branch (IR)
- Endometriosis UK (GB)
- Research Institute for Endocrine Sciences (IR)
- Jahrom University of Medical Sciences (IR)
- National Health Insurance Fund (RS)
- Health Information Management (BE)
- Alborz University of Medical Sciences (IR)
- Shahid Beheshti University of Medical Sciences (IR)
- Tehran University of Medical Sciences (IR)
Publication Details
- Journal
- Journal of the American Geriatrics Society
- Published
- 2026-04-07
- DOI
- https://doi.org/10.1111/jgs.70379
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00