Incomplete Family History and Meeting Algorithmic Criteria for Genetic Evaluation of Hereditary Cancer

In this cross-sectional study, the magnitude of the association between incomplete family history documentation and identification of patients eligible for hereditary cancer genetic evaluation depended on whether data were missing randomly or systematically. These findings suggest that health care organizations implementing CDS algorithms should assess their specific missing data patterns and consider tailored approaches to handling incomplete family history information to ensure equitable identification of all patients who could benefit from genetic evaluation services.

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Publication Details

Journal
JAMA Network Open
Published
2025-10-28
DOI
https://doi.org/10.1001/jamanetworkopen.2025.39870
Primary Topic
BRCA gene mutations in cancer
Type
article
Field-Weighted Citation Impact
0.00

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article

Incomplete Family History and Meeting Algorithmic Criteria for Genetic Evaluation of Hereditary Cancer

Kensaku Kawamoto, Kimberly A. Kaphingst, Daniel Chavez‐Yenter, Rachelle Lorenz Chambers et al.
JAMA Network Open
BRCA gene mutations in cancer
article

Incomplete Family History and Meeting Algorithmic Criteria for Genetic Evaluation of Hereditary Cancer

Kensaku Kawamoto, Kimberly A. Kaphingst, Daniel Chavez‐Yenter, Rachelle Lorenz Chambers, Meenakshi Sigireddi, Richard L. Bradshaw, Guilherme Del Fiol, Wendy K. Kohlmann, Melody S. Goodman, Jemar R. Bather, Rachel Monahan, Adrian Harris
article en

Abstract

In this cross-sectional study, the magnitude of the association between incomplete family history documentation and identification of patients eligible for hereditary cancer genetic evaluation depended on whether data were missing randomly or systematically. These findings suggest that health care organizations implementing CDS algorithms should assess their specific missing data patterns and consider tailored approaches to handling incomplete family history information to ensure equitable identification of all patients who could benefit from genetic evaluation services.

JAMA Network OpenVol. 8(10)
University of Utah (US), Spencer Foundation (US), Huntsman Cancer Institute (US), NYU Langone Health (US), Durham VA Medical Center (US), New York University (US), University of Pennsylvania (US)
U.S. Department of Veterans Affairs, National Institutes of Health, National Cancer Institute
Openalex Percentile: Top 67%
BRCA gene mutations in cancer
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Incomplete Family History and Meeting Algorithmic Criteria for Genetic Evaluation of Hereditary Cancer — Kensaku Kawamoto, Kimberly A. Kaphingst, et al. · JAMA Network Open (2025) | TGRS Research Map | TGRS