Evidence map›Paper›PMID 32980074›Full record

ArticleThe Journal of molecular diagnostics : JMD2020

Identifying End Users' Preferences about Structuring Pharmacogenetic Test Orders in an Electronic Health Record System.

Leland E Hull, Jason L Vassy, Annjanette Stone, Catherine C Chanfreau-Coffinier, Craig W Heise, Victoria M Pratt, Ronald Przygodzki, Corrine I Voils, Deepak Voora, Jessica Wang-Rodriguez and 2 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 31% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
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

12 authors at 10 institutions in 2 countries.

Leland E HullDivision of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Medicine, Harvard Medical School, Boston, Massachusetts; Edith Nourse Rogers Memorial VA Medical Center, Bedford, Massachusetts. Electronic address: lhull1@mgh.harvard.edu.
Jason L VassyDepartment of Medicine, Harvard Medical School, Boston, Massachusetts; VA Boston Healthcare System, Boston, Massachusetts.
Annjanette StonePharmacogenomics Analysis Laboratory, Central Arkansas Veterans Healthcare System, Little Rock, Arkansas.
Catherine C Chanfreau-CoffinierVA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, Utah.
Craig W HeiseDivision of Medical Toxicology and Precision Medicine, College of Medicine, University of Arizona, Phoenix, Arizona.
Victoria M PrattPharmacogenomics Laboratory, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
Ronald PrzygodzkiGenomic Medicine, Office of Research and Development, U.S. Department of Veterans Affairs, Washington, D.C.
Corrine I VoilsWilliam S Middleton Memorial Veterans Hospital, Madison, Wisconsin; Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Deepak VooraDurham VA Healthcare System, Durham, North Carolina; Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
Jessica Wang-RodriguezPathology and Laboratory Medicine Service Line, VISN 22, Desert Pacific Healthcare Network, Long Beach, California; Department of Pathology, University of California San Diego, La Jolla, California.
Steven A SchichmanPharmacogenomics Analysis Laboratory, Central Arkansas Veterans Healthcare System, Little Rock, Arkansas.
Maren T ScheunerSan Francisco VA Health Care System, San Francisco, California; Division of Hematology-Oncology, Department of Pediatrics University of California, San Francisco School of Medicine, San Francisco, California; Department of Medicine, and the Division of Medical Genetics, Department of Pediatrics, University of California, San Francisco School of Medicine, San Francisco, California.
Central Arkansas Veterans Healthcare System · USHarvard University · USDuke University · USIndiana University School of MedicineSan Francisco VA Medical Center · USUniversity of Arizona · USUniversity of California San Diego · USUniversity of Wisconsin–Madison · USVA Office of Research and Development · USVA Salt Lake City Healthcare System · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Pragmatic randomized trial of polygenic risk scoring for common diseases in primary careR35HG010706 · NHGRI · HARVARD MEDICAL SCHOOL · PI VASSY, JASON L · 2019 to 2024
$2.6M
CSRD VA IK2 CX001262NCATS NIH HHS UL1 TR002373NHGRI NIH HHS R35 HG010706
6 · The paper itself

Abstract

Pharmacogenetics (PGx) testing can be used for detecting genetic variations that may affect an individual's anticipated metabolism of, or response to, medications. Although several studies have focused on developing tools for delivering results from PGx testing, there is a relative dearth of information about how to design provider-friendly electronic order-entry systems for PGx. The U.S. Department of Veterans Affairs (VA) is preparing to implement a new electronic health records system. In this study, VA PGx test end users were surveyed about their preferences for how electronic test orders for PGx should be structured, including the nomenclature that should be used to search for and identify PGx-test orders, whether to offer single- versus multigene tests, and whether information about test methodology should be included in the order name. Responses were analyzed systematically to identify areas of agreement and disagreement with the survey options, and areas where respondents' opinions diverged. End users endorsed preferences for flexible ways to identify and order PGx tests and multigene panel tests; opinions on whether test methodology should be included in the test name were divergent. The results could be used for both informing the VA's new electronic health records implementation (including how PGx tests are searched for and ordered) and for providing insights for other health systems implementing PGx-testing programs.

Indexed as

Choice BehaviorElectronic Health RecordsPharmacogenomic TestingHumansSurveys and Questionnaires

Identifiers

PMID32980074
PMCPMC7527867
OpenAlexW3087985928

What OpenQuestion holds

Textmetadata
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.