ArticleBMJ health & care informatics2019
Clinician preferences for computerised clinical decision support for medications in primary care: a focus group study.
Article in BMJ health & care informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 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, 2 syntheses or guidelines 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
- Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence.Journal of medical Internet research · 2023Pooled it
- Risk Model-Guided Clinical Decision Support for Suicide Screening: A Randomized Clinical Trial.JAMA network open · 2025Trial
- Trial
- Mixed-methods Evaluation of an Expedited Partner Therapy Take-home Medication Program: Pilot Emergency Department Intervention to Improve Sexual Health Equity.The western journal of emergency medicine · 2023Trial
- Interruptive Electronic Alerts for Choosing Wisely Recommendations: A Cluster Randomized Controlled Trial.Journal of the American Medical Informatics Association : JAMIA · 2022Trial
- Physicians' preferences for the use of clinical decision support systems in the context of acutely ill children presenting to ambulatory care: a focus group study.BMC medical informatics and decision making · 2026Article
- Article
- Clinical Decision Support to Increase Naloxone Co-prescribing from the Inpatient Setting.Journal of general internal medicine · 2026Observational
- Application of Nudges to Design Clinical Decision Support Tools: Systematic Approach Guided by Implementation Science.Journal of medical Internet research · 2025Article
- Integrating PRISM with User-centered Design (PRISM+UCD): Designing clinical decision support for safe opioid prescribing.Research square · 2025Article
- Transitioning Ineffective Medications on Hold Alert from Interruptive to Noninterruptive Alert to Decrease Alert Burden.Applied clinical informatics · 2025Article
- A simulation study to quantitatively assess the performance of electronic prescribing systems in English NHS Hospital Trusts.Scientific reports · 2025Article
- Barriers, facilitators, and recommendations to increase the use of a clinical decision support tool for managing chronic pain in primary care.International journal of medical informatics · 2024Article
- Clinical Decision Support to Increase Emergency Department Naloxone Coprescribing: Implementation Report.JMIR medical informatics · 2024Article
- Electronic Health Record Alert to Promote Adoption of Limited Transthoracic Echocardiograms in Primary Care and Cardiology Clinics: A Mixed Methods Evaluation.Circulation. Cardiovascular quality and outcomes · 2024Article
- Successfully Transitioning an Interruptive Alert into a Noninterruptive Alert for Central Line Dressing Changes in the Neonatal Intensive Care Unit.Applied clinical informatics · 2024Article
- Artificial-Intelligence-Based Clinical Decision Support Systems in Primary Care: A Scoping Review of Current Clinical Implementations.European journal of investigation in health, psychology and education · 2024Article
- Addressing Alert Fatigue by Replacing a Burdensome Interruptive Alert with Passive Clinical Decision Support.Applied clinical informatics · 2024Article
- Targeted messaging to improve the adoption of clinical decision support for prescription drug monitoring program use.Journal of the American Medical Informatics Association : JAMIA · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
backgroundTo improve user-centred design efforts and efficiency; there is a need to disseminate information on modern day clinician preferences for technologies such as computerised clinical decision support (CDS).
objectiveTo describe clinician perceptions regarding beneficial features of CDS for chronic medications in primary care.
methodsThis study included focus groups and clinicians individually describing their ideal CDS. Three focus groups were conducted including prescribing clinicians from a variety of disciplines. Outcome measures included identification of favourable features and unintended consequences of CDS for chronic medication management in primary care. We transcribed recordings, performed thematic qualitative analysis and generated counts when possible.
resultsThere were 21 participants who identified four categories of beneficial CDS features during the group discussion: non-interruptive alerts, clinically relevant and customisable support, presentation of pertinent clinical information and optimises workflow. Non-interruptive alerts were broadly defined as passive alerts that a user chooses to review, whereas interruptive were active or disruptive alerts that interrupted workflow and one is forced to review before completing a task. The CDS features identified in the individual descriptions were consistent with the focus group discussion, with the exception of non-interruptive alerts. In the individual descriptions, 12 clinicians preferred interruptive CDS compared with seven clinicians describing non-interruptive CDS.
conclusionClinicians identified CDS for chronic medications beneficial when they are clinically relevant and customisable, present pertinent clinical information (eg, labs, vitals) and improve their workflow. Although clinicians preferred passive, non-interruptive alerts, most acknowledged that these may not be widely seen and may be less effective. These features align with literature describing best practices in CDS design and emphasise those features clinicians prioritise, which should be considered when designing CDS for medication management in primary care. These findings highlight the disparity between the current state of CDS design and clinician-stated design features associated with beneficial CDS.
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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.