ArticleJournal of the American Geriatrics Society2025
Incidence of Potentially Inappropriate Prescribing: Longitudinal Investigation of Outpatient EHR Prescriptions.
Article in Journal of the American Geriatrics Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
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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.
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
Abstract
importanceThe incidence of potentially inappropriate medication (PIM) prescribing among older adults is not as well studied as its prevalence. Estimates of factors associated with PIM incidence, such as patient age, sex, race-ethnicity, medication subsidy support, and comorbidity, are also limited.
objectiveTo estimate the incidence of PIM prescribing in older adult outpatients, as well as the incidence and predictors for each PIM class, in a large outpatient electronic health records (EHR) cohort.
designRetrospective study of PIM prescribing among outpatients with encounters leading to prescription orders, 2015-2018, excluding prevalent cases.
settingOutpatients receiving care from a multi-site health system in western Pennsylvania.
participants342,405 patients, contributing 893,754 person-years of follow-up. MAIN OUTCOMES AND MEASURES: The incidence of PIM prescribing based on automated coding of 2019 Beers criteria. A multivariable Poisson regression model was estimated to assess the impact of age, sex, race-ethnicity, comorbidity, and medication subsidy (PACE/PACENET) on PIM risk. For each PIM class, the association between predictors and time to PIM prescribing was evaluated using proportional hazard models.
resultsThe incidence rate (IR) for 1 or more PIM was 193.5 per 1000 person-years, led by short- and intermediate-acting benzodiazepines (37.6), first-generation antihistamines (32.8), and skeletal muscle relaxants (22.0). The incidence of PIM prescribing was 15% higher among white patients and 35% lower among males. High comorbidity (Charlson score ≥ 3) was associated with a 59% higher risk. Participation in the PACE/PACENET program, a medication subsidy program, was associated with an 83% increase in incidence. Each additional year of age was associated with a 1.2% reduction in incidence. CONCLUSIONS AND RELEVANCE: This study establishes benchmarks for the incidence of PIM prescribing in outpatients and identifies important disparities in PIM risk, which vary by PIM class.
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