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Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own.
Bradshaw, Richard L; Kawamoto, Kensaku; Bather, Jemar R; Goodman, Melody S; Kohlmann, Wendy K; Chavez-Yenter, Daniel; Volkmar, Molly; Monahan, Rachel; Kaphingst, Kimberly A; Del Fiol, Guilherme.
Affiliation
  • Bradshaw RL; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; University of Utah Health, Salt Lake City, UT, USA.
  • Kawamoto K; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; University of Utah Health, Salt Lake City, UT, USA.
  • Bather JR; Department of Biostatistics, New York University School of Global Public Health, New York, NY, USA; Center for Anti-racism, Social Justice, & Public Health, New York University School of Global Public Health, New York, NY, USA.
  • Goodman MS; Department of Biostatistics, New York University School of Global Public Health, New York, NY, USA; Center for Anti-racism, Social Justice, & Public Health, New York University School of Global Public Health, New York, NY, USA.
  • Kohlmann WK; University of Utah Health, Salt Lake City, UT, USA; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
  • Chavez-Yenter D; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA; Department of Communication, University of Utah, Salt Lake City, UT, USA.
  • Volkmar M; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
  • Monahan R; New York University Langone Health, New York, NY, USA.
  • Kaphingst KA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA; Department of Communication, University of Utah, Salt Lake City, UT, USA.
  • Del Fiol G; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; University of Utah Health, Salt Lake City, UT, USA. Electronic address: guilherme.delfiol@utah.edu.
J Biomed Inform ; 149: 104568, 2024 Jan.
Article in En | MEDLINE | ID: mdl-38081564
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Neoplastic Syndromes, Hereditary Limits: Female / Humans Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Estados Unidos
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Neoplastic Syndromes, Hereditary Limits: Female / Humans Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Estados Unidos