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Effectiveness of AI Genetic Counseling Program vs In-person Genetic Counseling in Breast Cancer

A Randomized Trial Comparing the Effectiveness of Pre-test Genetic Counseling Using an Artificial Intelligence Program and Traditional In-person Genetic Counseling in Women Newly Diagnosed With Breast Cancer Who do Not Currently Meet National Comprehensive Cancer Network (NCCN) Criteria for Genetic Testing.

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04354675
Enrollment
35
Registered
2020-04-21
Start date
2021-06-29
Completion date
2023-03-30
Last updated
2026-03-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Cancer

Brief summary

The purpose of this study is to help better understand the uptake and impact of genetic testing for women diagnosed with breast cancer who do not meet National Comprehensive Cancer Network (NCCN) criteria for genetic testing. By doing so, the research team will gain a better understanding of the clinical implications for offering genetic testing for all patients recently diagnosed with breast cancer versus only offering genetic testing to those meeting NCCN criteria. By offering genetic counseling and genetic testing to all women recently diagnosed with breast cancer, there will be a shortage of genetic counselors. This study will also assess the feasibility of using artificial intelligence to assist in the genetic counseling process.

Detailed description

This is a randomized trial comparing the effectiveness of pre-test genetic counseling using an artificial intelligence program and traditional in-person genetic counseling in women newly diagnosed with breast cancer who do not currently meet National Comprehensive Cancer Network (NCCN) criteria for genetic testing. The primary objectives of this study are: 1. To determine up-take of testing for those who do not meet NCCN guidelines for genetic testing 2. To assess overall patient satisfaction and comprehension in both groups The secondary objectives of this study are: 1. To assess mutation rate in the overall cohort 2. Identify reasons for not pursuing genetic testing 3. Identify any specific areas of improvement in satisfaction and comprehension 4. Assess the impact of genetic testing on Time to Treatment in this cohort 5. Develop workflow for offering genetic testing, providing pre-test genetic counseling, ordering testing, and delivering results

Interventions

GENETICAutomated program (ChatBot)

Pre-test counseling and information through a pre-test automated genetic counseling program (ChatBot)

GENETICGenetics counselor

Traditional in-person genetic counseling

OTHERBCGCKQ Survey

Survey assessing Breast Cancer Genetic Counseling Knowledge Questionnaire (BCGCKQ)

Survey assessing satisfaction with Decision-Genetic Testing

DEVICEGenetic testing

Genetic testing for all participants will assess for a mutation in 47 genes commonly associated with hereditary cancer syndromes (Invitae's Common Hereditary Cancer Panel) for those who choose to complete testing.

Sponsors

Case Comprehensive Cancer Center
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
NONE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Subjects diagnosed with Stage 0-3 breast cancer. * Patients who do not satisfy current NCCN criteria for referral to a genetics counselor and genetics testing. * Must have the ability to understand and the willingness to sign a written informed consent document as well as complete the study questionnaires.

Exclusion criteria

\- N/A

Design outcomes

Primary

MeasureTime frameDescription
Percent of participants who took up genetic testing after not meeting NCCN guidelines for genetic testing2 yearsUp-take of testing for those who do not meet NCCN guidelines for genetic testing
Mean overall patient satisfaction with decision about genetic testing: survey2 yearsMean overall patient satisfaction with decision about genetic testing as assessed by survey. The survey is a previously validated six-question Likert scale based survey. The scale ranges from 6 to 30, with higher scores indicating more satisfaction. Satisfaction will be compared between groups with t-test or Wilcoxon rank sum test. Published data suggest that standard deviation on the satisfaction survey is 3. A 2 point difference in average satisfaction score between groups is considered to be relevant
Overall comprehension as assessed by BCGCKQ3 yearsComprehension as assessed by previously validated survey consisting of 27 questions, which are a blend of True or False and multiple choice questions. The scale ranges from to , with higher scores indicating more comprehension. Comprehension will be compared between groups with t-test or Wilcoxon rank sum test.

Secondary

MeasureTime frameDescription
Percentage of overall cohort with mutation2 yearsMutation rate as described by percentage of overall cohort with mutation. Groups will be compared with Chi-square test or Fisher's exact test
Number of patients who decline genetic testing2 yearsNumber of patients who decline genetic testing. Groups will be compared with Chi-square test or Fisher's exact test
Frequencies of most common reasons for not pursuing genetic testing2 yearsReasons for not pursuing genetic testing in those who declined will be collected as a descriptive measure and then analyzed as frequencies of the different responses, summarizing the most common answers
Time to treatment3 yearsTime to treatment will be compared between patients who had genetic testing to those who did not using t-test or Wilcoxon rank sum test among all study patients.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORZahraa Al-Hilli, MD

Cleveland Clinic Taussig Cancer institute, Case Comprehensive Cancer Center

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 1, 2026