Evidence map›Paper›PMID 25957826›Full record

ArticleJournal of biomedical informatics2015

Making pharmacogenomic-based prescribing alerts more effective: A scenario-based pilot study with physicians.

Casey Lynnette Overby, Emily Beth Devine, Neil Abernethy, Jeannine S McCune, Peter Tarczy-Hornoch

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
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  5. Approaches to assessing the provider experience with clinical pharmacogenomic information: a scoping review.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
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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

5 authors.

Casey Lynnette OverbyProgram in Personalized & Genomic Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States. Electronic address: coverby@medicine.umaryland.edu.
Emily Beth DevineDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States; Department of Pharmacy, University of Washington, Seattle, WA, United States; Department of Health Services, University of Washington, Seattle, WA, United States.
Neil AbernethyDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States; Department of Health Services, University of Washington, Seattle, WA, United States.
Jeannine S McCuneDepartment of Pharmacy, University of Washington, Seattle, WA, United States.
Peter Tarczy-HornochDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States; Department of Pediatrics, University of Washington, Seattle, WA, United States; Department of Computer Science & Engineering, University of Washington, Seattle, WA, United States.

Funding

INSTITUTE FOR TRANSLATIONAL HEALTH SCIENCE (UL1): BPCAUL1RR025014 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$51.5M
Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
Evaluating e-Prescribing in a Community-based, Integrated Health SystemK08HS014739 · AHRQ · UNIVERSITY OF WASHINGTON · PI DEVINE, EMILY BETH · 2006 to 2010
$510k
AHRQ HHS 5K08 HS014739AHRQ HHS K08 HS014739NCATS NIH HHS UL1 TR000423NCRR NIH HHS UL1 RR025014NCRR NIH HHS UL 1RR 025014NHGRI NIH HHS T32 HG000035NLM NIH HHS T15 LM007442NLM NIH HHS T15 LM07442
6 · The paper itself

Abstract

To facilitate personalized drug dosing (PDD), this pilot study explored the communication effectiveness and clinical impact of using a prototype clinical decision support (CDS) system embedded in an electronic health record (EHR) to deliver pharmacogenomic (PGx) information to physicians. We employed a conceptual framework and measurement model to access the impact of physician characteristics (previous experience, awareness, relative advantage, perceived usefulness), technology characteristics (methods of implementation-semi-active/active, actionability-low/high) and a task characteristic (drug prescribed) on communication effectiveness (usefulness, confidence in prescribing decision), and clinical impact (uptake, prescribing intent, change in drug dosing). Physicians performed prescribing tasks using five simulated clinical case scenarios, presented in random order within the prototype PGx-CDS system. Twenty-two physicians completed the study. The proportion of physicians that saw a relative advantage to using PGx-CDS was 83% at the start and 94% at the conclusion of our study. Physicians used semi-active alerts 74-88% of the time. There was no association between previous experience with, awareness of, and belief in a relative advantage of using PGx-CDS and improved uptake. The proportion of physicians reporting confidence in their prescribing decisions decreased significantly after using the prototype PGx-CDS system (p=0.02). Despite decreases in confidence, physicians perceived a relative advantage to using PGx-CDS, viewed semi-active alerts on most occasions, and more frequently changed doses toward doses supported by published evidence. Specifically, sixty-five percent of physicians reduced their dosing, significantly for capecitabine (p=0.002) and mercaptopurine/thioguanine (p=0.03). These findings suggest a need to improve our prototype such that PGx CDS content is more useful and delivered in a way that improves physician's confidence in their prescribing decisions. The greatest increases in communication effectiveness and clinical impact of PGx-CDS are likely to be realized through continued focus on content, content delivery, and tailoring to physician characteristics.

Indexed as

User-Computer InterfaceClinical Pharmacy Information SystemsDecision Support Systems, ClinicalDrug Therapy, Computer-AssistedElectronic Health RecordsElectronic PrescribingMedical Order Entry SystemsMedical Record LinkagePharmacogeneticsPhysiciansPilot ProjectsUtilization ReviewClinical decision support systemsComputer-assisted drug therapyComputerized physician order entryDrug safetyElectronic health recordsPersonalized medicinePharmacogenomicsPhysician’s practice patterns

Identifiers

PMID25957826
PMCPMC4704108

What OpenQuestion holds

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Registered trials

None linked

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.