ArticleResearch and practice in thrombosis and haemostasis2022
Implementing evidence-based anticoagulant prescribing: User-centered design findings and recommendations.
Article in Research and practice in thrombosis and haemostasis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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Who cites it
6 citing papers in PubMed.
- Clinical decision support tool evaluation: Correction of direct oral anticoagulant dosing errors by clinical pharmacists and physicians.Research and practice in thrombosis and haemostasis · 2026Trial
- Implementing prescriber-pharmacist collaboration to improve evidence-based medication prescribing using asynchronous, non-interruptive electronic health record notifications.Implementation science : IS · 2025Trial
- System-Wide, Electronic Health Record-Based Medication Alerts for Appropriate Prescribing of Direct Oral Anticoagulants: Pilot Randomized Controlled Trial.JMIR formative research · 2024Trial
- Implementing pharmacist-prescriber collaboration to improve evidence-based anticoagulant use: a randomized trial.Implementation science : IS · 2023Trial
- Drug-drug interactions with direct oral anticoagulants in Belgian primary care patients with non-valvular atrial fibrillation.Scientific reports · 2026Article
- Implementing evidence-based anticoagulant prescribing: User-centered design findings and recommendations.Research and practice in thrombosis and haemostasis · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Background: Direct oral anticoagulants (DOACs) are widely used medications with an unacceptably high rate of prescription errors and are a leading cause of adverse drug events. Clinical decision support, including medication alerts, can be an effective implementation strategy to reduce prescription errors, but quality is often inconsistent. User-centered design (UCD) approaches can improve the effectiveness of alerts. Objectives: To design effective DOAC prescription alerts through UCD and develop a set of generalizable design recommendations. Methods: This study used an iterative UCD process with practicing clinicians. In three rapid iterative design and assessment stages, prototype alert designs were created and refined using a test electronic health record (EHR) environment and simulated patients. We identified key emergent themes across all user observations and interviews. The themes and final designs were used to derive a set of design guidelines. Results: Our UCD sample comprised 13 prescribers, including advanced practice providers, physicians in training, primary care physicians, and cardiologists. The resulting alert designs embody our design recommendations, which include establishing intended indication, clarifying dosing by renal function, tailoring alert language in drug interactions, facilitating trust in alerts, and minimizing interaction overhead. Conclusions: Through a robust UCD process, we have identified key recommendations for implementing medication alerts aimed at improving evidence-based DOAC prescribing. These recommendations may be applicable to the implementation of DOAC alerts in any EHR systems.
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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.