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Identifying End Users' Preferences about Structuring Pharmacogenetic Test Orders in an Electronic Health Record System.
Hull, Leland E; Vassy, Jason L; Stone, Annjanette; Chanfreau-Coffinier, Catherine C; Heise, Craig W; Pratt, Victoria M; Przygodzki, Ronald; Voils, Corrine I; Voora, Deepak; Wang-Rodriguez, Jessica; Schichman, Steven A; Scheuner, Maren T.
Afiliación
  • Hull LE; Division 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.
  • Vassy JL; Department of Medicine, Harvard Medical School, Boston, Massachusetts; VA Boston Healthcare System, Boston, Massachusetts.
  • Stone A; Pharmacogenomics Analysis Laboratory, Central Arkansas Veterans Healthcare System, Little Rock, Arkansas.
  • Chanfreau-Coffinier CC; VA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, Utah.
  • Heise CW; Division of Medical Toxicology and Precision Medicine, College of Medicine, University of Arizona, Phoenix, Arizona.
  • Pratt VM; Pharmacogenomics Laboratory, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
  • Przygodzki R; Genomic Medicine, Office of Research and Development, U.S. Department of Veterans Affairs, Washington, D.C.
  • Voils CI; William S Middleton Memorial Veterans Hospital, Madison, Wisconsin; Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
  • Voora D; Durham VA Healthcare System, Durham, North Carolina; Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
  • Wang-Rodriguez J; Pathology 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.
  • Schichman SA; Pharmacogenomics Analysis Laboratory, Central Arkansas Veterans Healthcare System, Little Rock, Arkansas.
  • Scheuner MT; San 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, Uni
J Mol Diagn ; 22(10): 1264-1271, 2020 10.
Article en En | MEDLINE | ID: mdl-32980074
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.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Conducta de Elección / Registros Electrónicos de Salud / Pruebas de Farmacogenómica Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: J Mol Diagn Asunto de la revista: BIOLOGIA MOLECULAR Año: 2020 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Conducta de Elección / Registros Electrónicos de Salud / Pruebas de Farmacogenómica Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: J Mol Diagn Asunto de la revista: BIOLOGIA MOLECULAR Año: 2020 Tipo del documento: Article