Translating Cancer Genetics Care: Digital Tools to Improve Cancer Genetics Risk Assessment for Patients With Limited English Proficiency

PURPOSE: This study assessed the acceptability of a multilingual, digital cancer genetics risk assessment (CGRA) tool among patients with limited English proficiency at linguistically diverse, urban gynecology clinics. MATERIALS AND METHODS: Patients presenting for gynecology appointments who spoke English, Spanish, or Chinese (Mandarin/Cantonese) were offered at check-in to complete a digital CGRA tool available in their preferred language. A convenience sample of 35 patients was selected per language group. The digital tool used patient-reported personal and family health histories to determine genetic testing eligibility based on National Comprehensive Cancer Network criteria. Primary outcomes were patient interest and completion of the digital tool across language groups. Patient interest in completing genetic testing following completion of the digital tool was not measured. Patient interest and completion of the digital tool were compared based on language, using chi-square test or Fisher's exact test. Multivariable logistic regression analysis was used to explore the effect of language, adjusting for other patient-related factors. RESULTS: < .01). CONCLUSION: The digital CGRA tool was acceptable to 65% of patients. Spanish-speaking patients showed similar interest and completion rates as English speakers, whereas Chinese-speaking patients had lower interest and completion rates.

Authors

Institutions

Publication Details

Journal
JCO Oncology Practice
Published
2026-04-15
DOI
https://doi.org/10.1200/op-25-01111
Primary Topic
BRCA gene mutations in cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Translating Cancer Genetics Care: Digital Tools to Improve Cancer Genetics Risk Assessment for Patients With Limited English Proficiency

Ravi N. Sharaf, Roxanna Haghighat, Muhammad Danyal Ahsan, Melissa Kristen Frey et al.
JCO Oncology Practice
BRCA gene mutations in cancer
article

Translating Cancer Genetics Care: Digital Tools to Improve Cancer Genetics Risk Assessment for Patients With Limited English Proficiency

Ravi N. Sharaf, Roxanna Haghighat, Muhammad Danyal Ahsan, Melissa Kristen Frey, Shifa Hossain, S Ros Lopez, Isabelle Chandler, David A. Fishman, Lisa C. Diamond, Xiaoyue Ma, Emily Webster, Benjamin Grant, Michelle Primiano, Eloise Chapman-Davis
article en

Abstract

PURPOSE: This study assessed the acceptability of a multilingual, digital cancer genetics risk assessment (CGRA) tool among patients with limited English proficiency at linguistically diverse, urban gynecology clinics. MATERIALS AND METHODS: Patients presenting for gynecology appointments who spoke English, Spanish, or Chinese (Mandarin/Cantonese) were offered at check-in to complete a digital CGRA tool available in their preferred language. A convenience sample of 35 patients was selected per language group. The digital tool used patient-reported personal and family health histories to determine genetic testing eligibility based on National Comprehensive Cancer Network criteria. Primary outcomes were patient interest and completion of the digital tool across language groups. Patient interest in completing genetic testing following completion of the digital tool was not measured. Patient interest and completion of the digital tool were compared based on language, using chi-square test or Fisher's exact test. Multivariable logistic regression analysis was used to explore the effect of language, adjusting for other patient-related factors. RESULTS: < .01). CONCLUSION: The digital CGRA tool was acceptable to 65% of patients. Spanish-speaking patients showed similar interest and completion rates as English speakers, whereas Chinese-speaking patients had lower interest and completion rates.

JCO Oncology Practice
Memorial Sloan Kettering Cancer Center (US), Cornell University (US), New York Hospital Queens (US), Presbyterian Hospital (US), Weill Cornell Medicine (US)
Quality Education
Openalex Percentile: Top 14%
BRCA gene mutations in cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.