- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04354675
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.
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.
Study Overview
Status
Conditions
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:
- To determine up-take of testing for those who do not meet NCCN guidelines for genetic testing
- To assess overall patient satisfaction and comprehension in both groups
The secondary objectives of this study are:
- To assess mutation rate in the overall cohort
- Identify reasons for not pursuing genetic testing
- Identify any specific areas of improvement in satisfaction and comprehension
- Assess the impact of genetic testing on Time to Treatment in this cohort
- Develop workflow for offering genetic testing, providing pre-test genetic counseling, ordering testing, and delivering results
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Ohio
-
Cleveland, Ohio, United States, 44195
- Cleveland Clinic Taussig Cancer Institute, Case Comprehensive Cancer Center
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
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
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Screening
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Artificial intelligence program
Will complete consult with the use of an artificial intelligence program Chatbot.
|
Pre-test counseling and information through a pre-test automated genetic counseling program (ChatBot)
Survey assessing Breast Cancer Genetic Counseling Knowledge Questionnaire (BCGCKQ)
Other Names:
Survey assessing satisfaction with Decision-Genetic 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.
|
|
Active Comparator: in-person genetic counseling
Will complete a traditional in-person genetic counseling.
consult by meeting with a Genetics Counselor
|
Survey assessing Breast Cancer Genetic Counseling Knowledge Questionnaire (BCGCKQ)
Other Names:
Survey assessing satisfaction with Decision-Genetic 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.
Traditional in-person genetic counseling
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Percent of participants who took up genetic testing after not meeting NCCN guidelines for genetic testing
Time Frame: 2 years
|
Up-take of testing for those who do not meet NCCN guidelines for genetic testing
|
2 years
|
|
Mean overall patient satisfaction with decision about genetic testing: survey
Time Frame: 2 years
|
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 |
2 years
|
|
Overall comprehension as assessed by BCGCKQ
Time Frame: 3 years
|
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. |
3 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Percentage of overall cohort with mutation
Time Frame: 2 years
|
Mutation rate as described by percentage of overall cohort with mutation.
Groups will be compared with Chi-square test or Fisher's exact test
|
2 years
|
|
Number of patients who decline genetic testing
Time Frame: 2 years
|
Number of patients who decline genetic testing.
Groups will be compared with Chi-square test or Fisher's exact test
|
2 years
|
|
Frequencies of most common reasons for not pursuing genetic testing
Time Frame: 2 years
|
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
|
2 years
|
|
Time to treatment
Time Frame: 3 years
|
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.
|
3 years
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Zahraa Al-Hilli, MD, Cleveland Clinic Taussig Cancer Institute, Case Comprehensive Cancer Center
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Neoplasms by Site
- Neoplasms
- Skin Diseases
- Breast Diseases
- Skin and Connective Tissue Diseases
- Breast Neoplasms
- Investigative Techniques
- Clinical Laboratory Techniques
- Diagnostic Techniques and Procedures
- Diagnosis
- Health Services
- Health Care Facilities Workforce and Services
- Preventive Health Services
- Genetic Techniques
- Genetic Services
- Diagnostic Services
- Genetic Testing
Other Study ID Numbers
- CASE12119
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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