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

Publication ,  Journal Article
Hull, LE; Vassy, JL; Stone, A; Chanfreau-Coffinier, CC; Heise, CW; Pratt, VM; Przygodzki, R; Voils, CI; Voora, D; Wang-Rodriguez, J ...
Published in: J Mol Diagn
October 2020

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.

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Published In

J Mol Diagn

DOI

EISSN

1943-7811

Publication Date

October 2020

Volume

22

Issue

10

Start / End Page

1264 / 1271

Location

United States

Related Subject Headings

  • Surveys and Questionnaires
  • Pharmacogenomic Testing
  • Pathology
  • Humans
  • Electronic Health Records
  • Choice Behavior
  • 3211 Oncology and carcinogenesis
  • 3202 Clinical sciences
  • 1108 Medical Microbiology
 

Citation

APA
Chicago
ICMJE
MLA
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Hull, L. E., Vassy, J. L., Stone, A., Chanfreau-Coffinier, C. C., Heise, C. W., Pratt, V. M., … Scheuner, M. T. (2020). Identifying End Users' Preferences about Structuring Pharmacogenetic Test Orders in an Electronic Health Record System. J Mol Diagn, 22(10), 1264–1271. https://doi.org/10.1016/j.jmoldx.2020.06.015
Hull, Leland E., Jason L. Vassy, Annjanette Stone, Catherine C. Chanfreau-Coffinier, Craig W. Heise, Victoria M. Pratt, Ronald Przygodzki, et al. “Identifying End Users' Preferences about Structuring Pharmacogenetic Test Orders in an Electronic Health Record System.J Mol Diagn 22, no. 10 (October 2020): 1264–71. https://doi.org/10.1016/j.jmoldx.2020.06.015.
Hull LE, Vassy JL, Stone A, Chanfreau-Coffinier CC, Heise CW, Pratt VM, et al. Identifying End Users' Preferences about Structuring Pharmacogenetic Test Orders in an Electronic Health Record System. J Mol Diagn. 2020 Oct;22(10):1264–71.
Hull, Leland E., et al. “Identifying End Users' Preferences about Structuring Pharmacogenetic Test Orders in an Electronic Health Record System.J Mol Diagn, vol. 22, no. 10, Oct. 2020, pp. 1264–71. Pubmed, doi:10.1016/j.jmoldx.2020.06.015.
Hull LE, Vassy JL, Stone A, Chanfreau-Coffinier CC, Heise CW, Pratt VM, Przygodzki R, Voils CI, Voora D, Wang-Rodriguez J, Schichman SA, Scheuner MT. Identifying End Users' Preferences about Structuring Pharmacogenetic Test Orders in an Electronic Health Record System. J Mol Diagn. 2020 Oct;22(10):1264–1271.
Journal cover image

Published In

J Mol Diagn

DOI

EISSN

1943-7811

Publication Date

October 2020

Volume

22

Issue

10

Start / End Page

1264 / 1271

Location

United States

Related Subject Headings

  • Surveys and Questionnaires
  • Pharmacogenomic Testing
  • Pathology
  • Humans
  • Electronic Health Records
  • Choice Behavior
  • 3211 Oncology and carcinogenesis
  • 3202 Clinical sciences
  • 1108 Medical Microbiology