Evidence map›Paper›PMID 42699097›Full record

Trial reportResearch and practice in thrombosis and haemostasis2026

Clinical decision support tool evaluation: Correction of direct oral anticoagulant dosing errors by clinical pharmacists and physicians.

Anish Saraswat, Shawna N Smith, Michael P Dorsch, Morris Fabbri, Jacob Seagull, Seo Youn Choi, Michael Lanham, Geoffrey D Barnes

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Research and practice in thrombosis and haemostasis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Anish SaraswatDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Shawna N SmithDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Michael P DorschInstitute for Health care Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA.
Morris FabbriCenter for History, Humanities, Arts, Social Sciences and Ethics in Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Jacob SeagullCenter for History, Humanities, Arts, Social Sciences and Ethics in Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Seo Youn ChoiDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Michael LanhamDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.
Geoffrey D BarnesInstitute for Health care Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA.

Funding

AHRQ HHS R18 HS028562
6 · The paper itself

Abstract

Background: Inappropriate dosing occurs in up to 20% of direct oral anticoagulant (DOAC) prescriptions and is associated with bleeding, hospitalization, and death. Understanding why DOAC dosing errors arise after the initial prescribing period and how clinicians decide to adjust doses may help improve future antithrombotic stewardship efforts. Objectives: This study aimed to describe responses by clinicians to asynchronous electronic health record notifications regarding inappropriate DOAC prescriptions that develop after the initial prescribing period. Methods: As part of a larger randomized trial to improve evidence-based DOAC prescribing, we conducted a manual chart review to assess reasons for inappropriate DOAC prescriptions, clinician response, and reasons for not changing DOAC prescriptions. Results: Most apixaban prescribing errors occurred in patients aged 80 years or older (87.8%). Overall, dose changes occurred after 32.7% of notifications. Notifications to increase the dose of apixaban resulted in fewer dose changes (16.8%) than those to reduce the dose of apixaban (52%), increase the dose of rivaroxaban (43.2%), or decrease the dose of rivaroxaban (43.6%). The original DOAC prescribers were less likely than pharmacists to document a reason for not making a dose change (46.1% vs 90.5%). Renal function, weight, and bleeding-related reasons were commonly cited as reasons not to make a dose change. Conclusion: Various patient factors differentially influenced the likelihood that a clinician would change an inappropriate DOAC prescription. These factors can be used to tailor electronic health record-based notifications to reduce the burden on prescribers while maximizing the impact on patient safety by increasing evidence-based prescribing.

Indexed as

AnticoagulantsDecision Support Systems, ClinicalFactor Xa InhibitorsInappropriate PrescribingMedication ErrorsPractice Patterns, Pharmacists'Practice Patterns, Physicians'Administration, OralAgedAged, 80 and overElectronic Health RecordsFemaleHumansMalePharmacistsPhysiciansAnticoagulantsapixabanFactor Xa InhibitorsPyrazolesPyridonesRivaroxabananticoagulantsapixabanclinical decision supportpharmacistsrivaroxaban

Identifiers

PMID42699097
PMCPMC13543885

What OpenQuestion holds

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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.