ArticleInternational journal of medical informatics2014
E-prescribing errors in community pharmacies: exploring consequences and contributing factors.
Article in International journal of medical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.
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
37 citing papers in PubMed, 4 syntheses or guidelines pooled it, 87 citations in OpenAlex.
- Causes of medication errors in community pharmacies: A meta-ethnography and systematic review.PloS one · 2026Pooled it
- Medication errors in community pharmacies: a systematic review of the international literature.PloS one · 2025Pooled it
- Problems with health information technology and their effects on care delivery and patient outcomes: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017Pooled it
- A systematic review of the types and causes of prescribing errors generated from using computerized provider order entry systems in primary and secondary care.Journal of the American Medical Informatics Association : JAMIA · 2017Pooled it
- Differences in prescribing errors between electronic prescribing and traditional prescribing among medical students: A randomized pilot study.British journal of clinical pharmacology · 2025Trial
- Factors contributing to electronic prescribing errors in healthcare settings: a qualitative study.BMC medical informatics and decision making · 2026Article
- Patient Experiences With Outpatient Pharmacy Services in Hospitals Using Automated Pharmacy Systems: Cross-Sectional Study.JMIR medical informatics · 2026Article
- Large language models in clinical psychiatry: Applications and optimization strategies.World journal of psychiatry · 2025Review
- Enhancing medication safety with System Approach to Verifying Electronic Prescriptions (SAV E-Rx): pharmacists' review of product selection outcomes between prescribed and dispensed medications.BMJ health & care informatics · 2025Article
- Recommendations to promote fairness and inclusion in biomedical AI research and clinical use.Journal of biomedical informatics · 2024Article
- Large language models for preventing medication direction errors in online pharmacies.Nature medicine · 2024Article
- Physicians' Perspectives with the E-prescribing System in Five Teaching Hospitals.Applied clinical informatics · 2024Article
- Impact of implementing the aseptic compounding management system, Medcura, on internal error rates within an oncology pharmacy aseptic unit: a mixed methods evaluation.European journal of hospital pharmacy : science and practice · 2024Article
- E-prescribing and medication safety in community settings: A rapid scoping review.Exploratory research in clinical and social pharmacy · 2023Article
- Unveiling medication errors in liver transplant patients towards enhancing the imperative patient safety.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023Article
- Pharmacologic Stewardship in a Rural Community Pharmacy.Healthcare (Basel, Switzerland) · 2023Article
- Patient Safety Culture in the Southern Region of Saudi Arabia: A Survey among Community Pharmacies.Healthcare (Basel, Switzerland) · 2023Article
- Implementation outcomes of the Structured and Codified SIG format in electronic prescription directions.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Comparing the variability of ingredient, strength, and dose form information from electronic prescriptions with RxNorm drug product descriptions.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Patients', pharmacists', and prescribers' attitude toward using blockchain and machine learning in a proposed ePrescription system: online survey.JAMIA open · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo explore types of e-prescribing errors in community pharmacies and their potential consequences, as well as the factors that contribute to e-prescribing errors.
methodsData collection involved performing 45 total hours of direct observations in five pharmacies. Follow-up interviews were conducted with 20 study participants. Transcripts from observations and interviews were subjected to content analysis using NVivo 10.
resultsPharmacy staff detected 75 e-prescription errors during the 45 h observation in pharmacies. The most common e-prescribing errors were wrong drug quantity, wrong dosing directions, wrong duration of therapy, and wrong dosage formulation. Participants estimated that 5 in 100 e-prescriptions have errors. Drug classes that were implicated in e-prescribing errors were antiinfectives, inhalers, ophthalmic, and topical agents. The potential consequences of e-prescribing errors included increased likelihood of the patient receiving incorrect drug therapy, poor disease management for patients, additional work for pharmacy personnel, increased cost for pharmacies and patients, and frustrations for patients and pharmacy staff. Factors that contribute to errors included: technology incompatibility between pharmacy and clinic systems, technology design issues such as use of auto-populate features and dropdown menus, and inadvertently entering incorrect information.
conclusionStudy findings suggest that a wide range of e-prescribing errors is encountered in community pharmacies. Pharmacists and technicians perceive that causes of e-prescribing errors are multidisciplinary and multifactorial, that is to say e-prescribing errors can originate from technology used in prescriber offices and pharmacies.
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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.