ArticleJournal of the American Medical Informatics Association : JAMIA
Improving the validity of determining medication adherence from electronic health record medications orders.
Article in Journal of the American Medical Informatics Association : JAMIA. 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 7 papers.
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
7 citing papers in PubMed.
- Nomogram for medication nonadherence risk prediction in post-valve surgery patients: a retrospective study.Frontiers in medicine · 2026Article
- Discontinuation of Renin-Angiotensin System Inhibitors During the Early Stage of the COVID-19 Pandemic.American journal of hypertension · 2023Article
- Electronic health records-driven phenotyping: challenges, recent advances, and perspectives.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Standardizing terminology and definitions of medication adherence and persistence in research employing electronic databases.Medical care · 2013Article
- Determinants of patient adherence: a review of systematic reviews.Frontiers in pharmacology · 2013Article
- Characteristics of patients with primary non-adherence to medications for hypertension, diabetes, and lipid disorders.Journal of general internal medicine · 2012Article
- Sociodemographic characteristics of members of a large, integrated health care system: comparison with US Census Bureau data.The Permanente journal · 2012Article
Corrections and comments
- Erratum issuedErratum.2017
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We developed an accurate and valid medication order algorithm to identify from electronic health records the definitive medication order intended for dispensing and applied this process to identify a cohort of patients and to stratify them into one of three medication adherence groups: early non-persistence, primary non-adherence, or ongoing adherence. We identified medication order data from electronic health record tables, obtained the orders, and linked the orders to dispensings. These steps were then used to identify patients newly prescribed antihypertensive, antidiabetic, or antihyperlipidemic medications and to determine the adherence group of each patient. Record review validated each process step, thus increasing the accuracy of group assignment as well as the criteria used to select patients. This work is an important first step to accurately identify study-specific patient adherence cohorts and allow more comprehensive estimates of population medication adherence.
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.