This phase III trial compares the use of a digital chatbot enabled intervention to standard remote genetic services for increasing uptake of genetic counseling and testing among adolescents and young adult (AYA) cancer patients. Genetic testing for cancer predisposition syndromes has become standard evidence-based practice and can inform enhanced screening and risk reducing measures to reduce cancer morbidity and mortality. Despite this, many AYAs are not receiving recommended genetic counseling and testing. Offering remote telehealth services can address access barriers and chatbots and texting interventions could enhance patient outcomes and reduce provider and staff time. The use of a digital chatbot enabled intervention may be equally as effective as standard remote genetic services in AYA cancer patients undergoing genetic testing.
The primary and secondary objectives of the study: PRIMARY OBJECTIVES: I. To evaluate the efficacy of an enhanced eHealth and chatbot enabled delivery model to increase uptake of genetic counseling. II. To evaluate the efficacy of an enhanced eHealth and chatbot enabled delivery model to increase uptake of genetic testing. SECONDARY OBJECTIVE: I. To evaluate the efficacy of an enhanced eHealth and chatbot enabled delivery model to provide non-inferior short-term and longitudinal cognitive (e.g. knowledge), affective (e.g. distress), and behavioral outcomes (e.g. cancer screening and communication to relatives) and costs. EXPLORATORY OBJECTIVES: I. To test for moderators of uptake of counseling and testing (primary objectives). II. To test for moderators of short-term and longitudinal patient outcomes (secondary objectives). III. To identify facilitators and barriers to implementation of the enhanced eHealth and chatbot enabled delivery model and standard remote services. OUTLINE: Patients are randomized to 1 of 2 arms. Non-patient participants are assigned to arm 3. ARM I: Patients attend a standard of care telehealth visit with a genetic counselor for pretest genetic education. Patients then undergo standard of care genetic testing and attend a telehealth visit with a genetic counselor for disclosure of results. ARM II: Patients receive access to the Genetic Journey Chatbot and choose to complete digital pre-test genetic education via the digital tool or via telehealth visit with a genetic counselor. Via the chatbot, patients may request a telehealth visit with a genetic counselor at any time to answer unresolved questions. Patients then undergo standard of care genetic testing and attend a telehealth visit with a genetic counselor for disclosure of results. The chatbot remains available to answer questions, assess barriers, and provide reminders for next steps during the testing period. ARM III: Non-patient participants complete an interview on study. After completion of study intervention, patients are followed up at 6 and 12 months.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
535
Undergo telehealth visit with genetic counselor for pretest genetic education
Complete standard of care genetic testing
Undergo telehealth visit with genetic counselor for disclosure of results
Receive access to Genetic Journey Chatbot
Complete digital pre-test genetic education
Utilize chatbot to answer questions, assess barriers, and provide reminders for next steps during the testing period
Complete interview
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Uptake of genetic counseling
Defined as a binary outcome of whether an adolescent or young adult (AYA) underwent genetic counseling within 6 months post completion of the baseline survey. Will be compared between randomized arms using Cochran-Mantel-Haenszel (CMH) tests stratified by gender and a Bonferroni correction will be applied to control family-wise type I error.
Time frame: Within 6 months of baseline
Uptake of genetic testing
Defined as a binary outcome of whether an AYA underwent genetic testing within 6 months post completion of the baseline survey. Will be compared between randomized arms using CMH tests stratified by gender and a Bonferroni correction will be applied to control family-wise type I error.
Time frame: Within 6 months of baseline
Knowledge of genetic disease
Obtained from the KnowGene scale. Will be compared using non-inferiority testing with the equivalent of a 0.3 standard deviation (SD) non-inferiority margin. The lower limit of the one-sided 97.5% confidence limit for the difference in means will be compared with the non-inferiority margin and non-inferiority will be concluded if the interval fully lies above -0.3 SD. Longitudinal analyses will include model based analysis using generalized linear models of endpoints over time with link function determined by distribution of the endpoint being modeled and adjusting for baseline patient and disease characteristics.
Time frame: Up to 42 months post registration
Test result recall
Measured via the Test Result Recall scale. Will be compared using non-inferiority testing with the equivalent of a 0.3 SD non-inferiority margin. The lower limit of the one-sided 97.5% confidence limit for each secondary endpoint at T2 (the primary time point of interest for the secondary analyses) will be compared with the non-inferiority margin and non-inferiority will be concluded if the interval fully lies above -0.3 SD. Longitudinal analyses will include model based analysis using generalized linear models of endpoints over time with link function determined by distribution of the endpoint being modeled and adjusting for baseline patient and disease characteristics.
Time frame: Up to 42 months post registration
Perceptions of genetic disease
Measured via the Perceived Risk scale. Will be compared using non-inferiority testing with the equivalent of a 0.3 SD non-inferiority margin. The lower limit of the one-sided 97.5% confidence limit for the difference in means will be compared with the non-inferiority margin and non-inferiority will be concluded if the interval fully lies above -0.3 SD. Longitudinal analyses will include model based analysis using generalized linear models of endpoints over time with link function determined by distribution of the endpoint being modeled and adjusting for baseline patient and disease characteristics.
Time frame: Up to 42 months post registration
Anxiety
Measured via Patient Reported Outcome Measurement Information System (PROMIS) anxiety score. Will be compared using non-inferiority testing with the equivalent of a 0.3 SD non-inferiority margin. The lower limit of the one-sided 97.5% confidence limit for the difference in means will be compared with the non-inferiority margin and non-inferiority will be concluded if the interval fully lies above -0.3 SD. Longitudinal analyses will include model based analysis using generalized linear models of endpoints over time with link function determined by distribution of the endpoint being modeled and adjusting for baseline patient and disease characteristics.
Time frame: Up to 42 months post registration
Depression
Measured via PROMIS Depression score. Will be compared using non-inferiority testing with the equivalent of a 0.3 SD non-inferiority margin. The lower limit of the one-sided 97.5% confidence limit for the difference in means will be compared with the non-inferiority margin and non-inferiority will be concluded if the interval fully lies above -0.3 SD. Longitudinal analyses will include model based analysis using generalized linear models of endpoints over time with link function determined by distribution of the endpoint being modeled and adjusting for baseline patient and disease characteristics.
Time frame: Up to 42 months post registration
Disease-specific distress
Measured via the Revised Impact of Events Scale score. Will be compared using non-inferiority testing with the equivalent of a 0.3 SD non-inferiority margin. The lower limit of the one-sided 97.5% confidence limit for the difference in means will be compared with the non-inferiority margin and non-inferiority will be concluded if the interval fully lies above -0.3 SD. Longitudinal analyses will include model based analysis using generalized linear models of endpoints over time with link function determined by distribution of the endpoint being modeled and adjusting for baseline patient and disease characteristics.
Time frame: Up to 42 months post registration
Impact of cancer risk
Measured via the Multi-dimensional Impact of Cancer Risk Assessment score. Will be compared using non-inferiority testing with the equivalent of a 0.3 SD non-inferiority margin. The lower limit of the one-sided 97.5% confidence limit or each secondary endpoint at T2 (the primary time point of interest for the secondary analyses) will be compared with the non-inferiority margin and non-inferiority will be concluded if the interval fully lies above -0.3 SD. Longitudinal analyses will include model based analysis using generalized linear models of endpoints over time with link function determined by distribution of the endpoint being modeled and adjusting for baseline patient and disease characteristics
Time frame: Up to 42 months post registration
Satisfaction with genetic services
Measured via the Satisfaction with Genetic Services scale. Will be compared using non-inferiority testing with the equivalent of a 0.3 SD non-inferiority margin. The lower limit of the one-sided 97.5% confidence limit or each secondary endpoint at T2 (the primary time point of interest for the secondary analyses) will be compared with the non-inferiority margin and non-inferiority will be concluded if the interval fully lies above -0.3 SD.
Time frame: Up to 30 months post registration
Attitude toward genetic testing
Measured via Attitudes Toward Genetic Testing scale. Will be compared using non-inferiority testing with the equivalent of a 0.3 SD non-inferiority margin. The lower limit of the one-sided 97.5% confidence limit or each secondary endpoint at T2 (the primary time point of interest for the secondary analyses) will be compared with the non-inferiority margin and non-inferiority will be concluded if the interval fully lies above -0.3 SD.
Time frame: Up to 24 months post registration
Lifestyle behaviors
Will be compared using non-inferiority testing with the equivalent of a 0.3 SD non-inferiority margin. The lower limit of the one-sided 97.5% confidence limit for the difference in means will be compared with the non-inferiority margin and non-inferiority will be concluded if the interval fully lies above -0.3 SD. Longitudinal analyses will include model based analysis using generalized linear models of endpoints over time with link function determined by distribution of the endpoint being modeled and adjusting for baseline patient and disease characteristics.
Time frame: Up to 42 months post registration
Health behaviors
Measured via the Screening Health behaviors score. Will be compared using non-inferiority testing with the equivalent of a 0.3 SD non-inferiority margin. The lower limit of the one-sided 97.5% confidence limit for the difference in means will be compared with the non-inferiority margin and non-inferiority will be concluded if the interval fully lies above -0.3 SD. Longitudinal analyses will include model based analysis using generalized linear models of endpoints over time with link function determined by distribution of the endpoint being modeled and adjusting for baseline patient and disease characteristics.
Time frame: Up to 42 months post registration
Communication to at-risk relatives
Will be compared using non-inferiority testing with the equivalent of a 0.3 SD non-inferiority margin. The lower limit of the one-sided 97.5% confidence limit for the difference in means will be compared with the non-inferiority margin and non-inferiority will be concluded if the interval fully lies above -0.3 SD. Longitudinal analyses will include model based analysis using generalized linear models of endpoints over time with link function determined by distribution of the endpoint being modeled and adjusting for baseline patient and disease characteristics.
Time frame: Up to 42 months post registration
Genetic counselor time
o Will be compared using non-inferiority testing with the equivalent of a 0.3 SD non-inferiority margin. The lower limit of the one-sided 97.5% confidence limit for the difference in means will be compared with the non-inferiority margin and non-inferiority will be concluded if the interval fully lies above -0.3 SD. Longitudinal analyses will include model based analysis using generalized linear models of endpoints over time with link function determined by distribution of the endpoint being modeled and adjusting for baseline patient and disease characteristics.
Time frame: Up to 24 months post registration
Testing costs
Measured by 2 patient reported items
Time frame: Up to 36 months post registration
Costs of the intervention
o Will be estimated from a societal perspective, including direct medical and nonmedical costs. These include intervention and chatbot hosting, telecommunication services, personnel and patient time. Information to estimate intervention costs collected from study billing and payment records (e.g. website hosting, chatbot usage and time, videoconferencing and phone usage) and telegenetic staff logs (personnel time). The cost of personnel time will be based on institution-specific salaries, including fringe benefits. In sensitivity analysis, will substitute site-specific salary information with national average wage rates for the relevant occupational categories. Information about other out-of-pocket costs for testing (e.g. copayments) will be obtained through participant surveys. Patient time costs will be valued using national average wage rates for participant-specified occupations.
Time frame: Up to 42 months post registration
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