ArticleEuropean journal of hospital pharmacy : science and practice2019
Mixed methods study of medication-related decision support alerts experienced during electronic prescribing for inpatients at an English hospital.
Article in European journal of hospital pharmacy : science and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Understanding "Alert Fatigue" in Primary Care: Qualitative Systematic Review of General Practitioners Attitudes and Experiences of Clinical Alerts, Prompts, and Reminders.Journal of medical Internet research · 2025Pooled it
- Development of a hybrid artificial intelligence framework for pharmacotherapy optimization.International journal of clinical pharmacy · 2026Article
- Qualitative Study of Inpatient Hospital Medicine Interruptive Alerts and Clinical Decision Support.Applied clinical informatics · 2026Article
- A systematic review of clinicians' acceptance and use of clinical decision support systems over time.NPJ digital medicine · 2025Article
- Antimicrobial stewardship using electronic prescribing systems in hospital settings: a scoping review of interventions and outcome measures.JAC-antimicrobial resistance · 2022Article
- Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals.BMC medical informatics and decision making · 2022Article
- Digital Health in Physicians' and Pharmacists' Office: A Comparative Study of e-Prescription Systems' Architecture and Digital Security in Eight Countries.Omics : a journal of integrative biology · 2021Review
- Protocol for a qualitative study to identify strategies to optimise hospital ePrescribing systems.BMJ open · 2021Article
- Improving smoking cessation referrals among elective surgery clinics through electronic clinical decision support.Tobacco prevention & cessation · 2021Article
- Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication-Related Clinical Decision Support System: Model Development and Validation.JMIR medical informatics · 2020Article
- MHealth and perceived quality of care delivery: a conceptual model and validation.BMC medical informatics and decision making · 2020Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesElectronic prescribing and medication administration systems are being introduced in many hospitals worldwide, with varying degrees of clinical decision support including pop-up alerts. Previous research suggests that prescribers override a high proportion of alerts, but little research has been carried out in the UK. Our objective was to explore rates of alert overriding in different prescribing situations and prescribers' perceptions around the use of decision support alerts in a UK hospital.
methodsWe conducted a mixed methods study on three cardiology wards, directly observing medical and non-medical prescribers' alert override rates during both ward round and non-ward round prescribing; observations were followed by semi-structured interviews with prescribers, which were then transcribed and analysed thematically.
resultsOverall, 69% of 199 observed alerts were overridden. Alerts experienced during ward rounds were significantly more likely to be overridden than those outside of ward rounds (80% of 56 vs 51% of 63; p=0.001, Χ
conclusionThe majority of alerts were overridden. Alerts may be less likely to be overridden if they are built into the prescribing workflow.
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.