ArticleJMIR human factors2021
Barriers to the Use of Clinical Decision Support for the Evaluation of Pulmonary Embolism: Qualitative Interview Study.
Article in JMIR human factors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Experience of Health Care Professionals Using Digital Tools in the Hospital: Qualitative Systematic Review.JMIR human factors · 2023Pooled it
- Nudging provider adoption of clinical decision support: study protocol for a stepped-wedge cluster randomized, hybrid type III trial of an electronic health record-agnostic pulmonary embolism risk tool.Implementation science : IS · 2026Article
- CBC-derived inflammatory indices predict adverse outcomes in geriatric emergency patients with acute infectious diarrhea: a MIMIC-IV analysis.Scientific reports · 2026Article
- Study protocol for the design, implementation, and evaluation of the STRATIFY clinical decision support tool for emergency department disposition of patients with heart failure.Implementation science communications · 2025Article
- Multisite Implementation of a Sexual Health Survey and Clinical Decision Support to Promote Adolescent Sexually Transmitted Infection Screening.Applied clinical informatics · 2025Article
- Article
- Integration of population-level data sources into an individual-level clinical prediction model for dengue virus test positivity.Science advances · 2024Article
- Physicians' Perceptions of Clinical Decision Support to Treat Patients With Heart Failure in the ED.JAMA network open · 2023Article
- Integrating Clinical Decision Support Into Electronic Health Record Systems Using a Novel Platform (EvidencePoint): Developmental Study.JMIR formative research · 2023Article
- Evaluating the Usefulness and Ease of Use of a Next-Generation-Connected Drug Delivery Device for Growth Hormone Therapy: Qualitative Study of Health Care Professionals' Perceptions.JMIR human factors · 2023Article
- Nudging Health Care Providers' Adoption of Clinical Decision Support: Protocol for the User-Centered Development of a Behavioral Economics-Inspired Electronic Health Record Tool.JMIR research protocols · 2023Article
- Barriers and Opportunities Regarding Implementation of a Machine Learning-Based Acute Heart Failure Risk Stratification Tool in the Emergency Department.Diagnostics (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundClinicians often disregard potentially beneficial clinical decision support (CDS).
objectiveIn this study, we sought to explore the psychological and behavioral barriers to the use of a CDS tool.
methodsWe conducted a qualitative study involving emergency medicine physicians and physician assistants. A semistructured interview guide was created based on the Capability, Opportunity, and Motivation-Behavior model. Interviews focused on the barriers to the use of a CDS tool built based on Wells' criteria for pulmonary embolism to assist clinicians in establishing pretest probability of pulmonary embolism before imaging.
resultsInterviews were conducted with 12 clinicians. Six barriers were identified, including (1) Bayesian reasoning, (2) fear of missing a pulmonary embolism, (3) time pressure or cognitive load, (4) gestalt includes Wells' criteria, (5) missed risk factors, and (6) social pressure.
conclusionsClinicians highlighted several important psychological and behavioral barriers to CDS use. Addressing these barriers will be paramount in developing CDS that can meet its potential to transform clinical care.
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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.