Evidence map›Paper›PMID 36110900›Full record

ArticleResearch and practice in thrombosis and haemostasis2022

Implementing evidence-based anticoagulant prescribing: User-centered design findings and recommendations.

F Jacob Seagull, Michael S Lanham, Michelle Pomorski, Mollie Callahan, Elizabeth K Jones, Geoffrey D Barnes

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

F Jacob SeagullCenter for Bioethics and Social Science in Medicine Michigan Medicine Ann Arbor Michigan USA.ORCID https://orcid.org/0000-0001-8075-1637
Michael S LanhamObstetrics and Gynecology Michigan Medicine Ann Arbor Michigan USA.
Michelle PomorskiFamily Medicine Michigan Medicine Ann Arbor Michigan USA.
Mollie CallahanFamily Medicine Michigan Medicine Ann Arbor Michigan USA.
Elizabeth K JonesFamily Medicine Michigan Medicine Ann Arbor Michigan USA.
Geoffrey D BarnesInternal Medicine and Cardiovascular Medicine Michigan Medicine Ann Arbor Michigan USA.ORCID https://orcid.org/0000-0002-6532-8440

Funding

Development of computer aided decision support and EHR alerts for DOAC prescribingR03HL154205 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARNES, GEOFFREY DOUGLAS · 2020 to 2021
$156k
NHLBI NIH HHS R03 HL154205
6 · The paper itself

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.

Indexed as

anticoagulantsclinicaldecision support systemselectronic health recordsprescriptionsuser‐centered design

Identifiers

PMID36110900
PMCPMC9464620

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Registered trials

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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.