ArticleAmerican journal of epidemiology2026
Identifying observable medication use time in administrative databases: a tutorial using nursing home residents.
Article in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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Who cites it
4 citing papers in PubMed.
- Drug-Drug Interactions in Nursing Home Residents With vs Without Dementia.Journal of the American Medical Directors Association · 2026Observational
- Drug-Drug Interaction Signals for Major Bleeding in Nursing Home Residents: High-Throughput Screening of Clopidogrel and Oral Anticoagulants.Pharmacoepidemiology and drug safety · 2026Article
- Predictors of a Gabapentinoid-Loop-Diuretic Prescribing Cascade in U.S. Nursing Home Residents.Journal of the American Geriatrics Society · 2026Article
- Prevalence and Duration of Potential Drug-Drug Interactions Among US Nursing Home Residents, 2018-2020.Journal of the American Geriatrics Society · 2025Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Nursing home (NH) residents are an important population for pharmacoepidemiologic research due to their prevalence of multimorbidity and polypharmacy. Medicare claims are commonly used to study medication use in this population, but medications dispensed during hospitalizations or post-acute care are unobservable due to bundled payment structures. We developed algorithms to identify NH days when medication dispensings can be observed in claims. Using a cohort of NH residents in the United States from 2013 to 2020, we linked Medicare fee-for-service (FFS) claims with Minimum Data Set clinical assessments. NH days were classified as "observable medication use time" if residents were enrolled in Medicare parts A, B, and D were not receiving post-acute care and were not hospitalized. Among 12.3 million NH residents and 2.7 billion NH days, 1.1 billion days (72.4% of Medicare-enrolled days and 39.6% of all NH days) were identified as observable medication use time. Within the first 100 days of NH admission, 27.3% of days were medication-observable, increasing to 89.4% after 100 days. On average, we identified 68% more person-time, and 51% more residents, compared to standard 100-day definitions for "long-stay" NH residents. Our algorithms enhance researchers' ability to measure medication exposure time, improving the validity of pharmacoepidemiologic studies.
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