Neoplasms

Skin and Connective Tissue Diseases

All Conditions

Breast Neoplasms

Breast Diseases

Skin Diseases

Will complete consult with the use of an artificial intelligence program Chatbot.

Will complete a traditional in-person genetic counseling. consult by meeting with a Genetics Counselor

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

Automated program (ChatBot)

Genetics counselor

Survey assessing Breast Cancer Genetic Counseling Knowledge Questionnaire (BCGCKQ)

BCGCKQ Survey

Survey assessing satisfaction with Decision-Genetic Testing

Satisfaction Survey

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.

Genetic testing

Zahraa Al-Hilli, MD

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.

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

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.

Commercially available software being used to conduct the study

Up-take of testing for those who do not meet NCCN guidelines for genetic testing

Mean 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

Comprehension 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.

Mutation 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 testing. Groups will be compared with Chi-square test or Fisher's exact test

Reasons 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 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.

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization	Link
Effectiveness of AI Genetic Counseling Program vs In-person Genetic Counseling in Breast Cancer	NCT04354675	Breast Cancer	Automated progr... Genetics counse... BCGCKQ Survey Satisfaction Su... Genetic testing	18 Years -	Case Comprehensive Cancer Center
Effectiveness of AI Genetic Counseling Program vs In-person Genetic Counseling in Breast Cancer	NCT04354675	Breast Cancer	Automated progr... Genetics counse... BCGCKQ Survey Satisfaction Su... Genetic testing	18 Years -	Case Comprehensive Cancer Center

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