Evidence map›Paper›PMID 24874987›Full record

ArticleInternational journal of medical informatics2014

Usability evaluation of pharmacogenomics clinical decision support aids and clinical knowledge resources in a computerized provider order entry system: a mixed methods approach.

Emily Beth Devine, Chia-Ju Lee, Casey L Overby, Neil Abernethy, Jeannine McCune, Joe W Smith, Peter Tarczy-Hornoch

Abstract readEvaluation Study
In one paragraph

Article in International journal of medical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 5 pooled it
–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

48 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Delivering genomic medicine in the United Kingdom National Health Service: a systematic review and narrative synthesis.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Pooled it
  4. Barriers and facilitators to clinical information seeking: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
    Pooled it
  5. An appraisal of published usability evaluations of electronic health records via systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017
    Pooled it
  6. Article
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  12. 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
    Article
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  19. Incidental pharmacogenetics findings in an HLA-related research: Considerations for primary prevention.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2019
    Article
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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

7 authors.

Emily Beth DevineDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States; Pharmaceutical Outcomes Research and Policy Program, University of Washington, Seattle, WA, United States; Department of Health Services, University of Washington, Seattle, WA, United States. Electronic address: bdevine@uw.edu.
Chia-Ju LeeDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States.
Casey L OverbyDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States; Department of Medicine, Program in Personalized and Genomic Medicine, University of Maryland, Baltimore, MD, United States (formerly Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA United States).
Neil AbernethyDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States; Pharmaceutical Outcomes Research and Policy Program, University of Washington, Seattle, WA, United States.
Jeannine McCunePharmaceutical Outcomes Research and Policy Program, University of Washington, Seattle, WA, United States.
Joe W SmithUW Medicine Pharmacy Informatics, 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, Division of Neonatology, University of Washington, Seattle, WA, United States; Department of Computer Science and 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
AHRQ HHS K08 HS014739NCATS NIH HHS UL1 TR000423NCRR NIH HHS UL1 RR025014NCRR NIH HHS UL1RR025014NHGRI NIH HHS T15 HG000035NHGRI NIH HHS T32 HG000035NLM NIH HHS T15 LM007442NLM NIH HHS T15 LM07442PHS HHS 5K08 HSO14739
6 · The paper itself

Abstract

backgroundPharmacogenomics (PGx) is positioned to have a widespread impact on the practice of medicine, yet physician acceptance is low. The presentation of context-specific PGx information, in the form of clinical decision support (CDS) alerts embedded in a computerized provider order entry (CPOE) system, can aid uptake. Usability evaluations can inform optimal design, which, in turn, can spur adoption.

objectivesThe study objectives were to: (1) evaluate an early prototype, commercial CPOE system with PGx-CDS alerts in a simulated environment, (2) identify potential improvements to the system user interface, and (3) understand the contexts under which PGx knowledge embedded in an electronic health record is useful to prescribers.

methodsUsing a mixed methods approach, we presented seven cardiologists and three oncologists with five hypothetical clinical case scenarios. Each scenario featured a drug for which a gene encoding drug metabolizing enzyme required consideration of dosage adjustment. We used Morae(®) to capture comments and on-screen movements as participants prescribed each drug. In addition to PGx-CDS alerts, 'Infobutton(®)' and 'Evidence' icons provided participants with clinical knowledge resources to aid decision-making.

resultsNine themes emerged. Five suggested minor improvements to the CPOE user interface; two suggested presenting PGx information through PGx-CDS alerts using an 'Infobutton' or 'Evidence' icon. The remaining themes were strong recommendations to provide succinct, relevant guidelines and dosing recommendations of phenotypic information from credible and trustworthy sources; any more information was overwhelming. Participants' median rating of PGx-CDS system usability was 2 on a Likert scale ranging from 1 (strongly agree) to 7 (strongly disagree).

conclusionsUsability evaluation results suggest that participants considered PGx information important for improving prescribing decisions; and that they would incorporate PGx-CDS when information is presented in relevant and useful ways.

Indexed as

Decision MakingMedical InformaticsPharmacogeneticsDecision Support Systems, ClinicalElectronic Health RecordsHumansMedical Order Entry SystemsMedication ErrorsPractice Patterns, Physicians'Precision MedicineClinical decision support systemsClinical knowledge resources (not a MeSH term)Medical order entry systemsPharmacogeneticsUser-computer interface

Identifiers

PMID24874987
PMCPMC4095746

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.