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The objective of this pilot study is to evaluate the feasibility and acceptability of GIA in sharing genetic test results with family members.
To determine the utility of GIA in sharing information. To determine the impact of GIA on downstream cascade testing rates.
Chatbots, also known as conversation agents, are programs designed to have interactive conversations with humans. While traditionally used in sectors such as online gaming and customer service, chatbots have made their way into a number of industries including healthcare and have shown promise in areas such as managing anxiety/depression, weight loss, and medication adherence. GIA (Genetic Information Assistant) is a chatbot specifically designed as a tool for patients to use for disseminating genetic results, education, and genetic counseling resources to their family members after they themselves receive a positive result.
Patients receive a secure GIA link from their provider and then are able to send their relatives the link to GIA through texting, email, and/or Facebook messenger. Once a relative clicks on the provided link, GIA's platform is structured as a decision tree, allowing family members to construct a personalized conversation about their family member's test results. This can be done either on a smartphone or computer. GIA provides basic genetics education and risk assessment and connects family members with local genetic counseling resources to continue this conversation and/or go forward with genetic testing. At the end of the conversation, the family member has the option of having a transcript sent to them via email for their reference. The objective of the current study is to evaluate the application of GIA for cascade testing in newly identified high risk breast and gynecologic mutation carriers.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| GIA Access | Other | All patients consented to this study will be given access to the GIA technology to share with their family members. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| GIA | Genetic | Patients receive a secure GIA link from their provider and then are able to send their relatives the link to GIA through texting, email, and/or Facebook messenger. Once a relative clicks on the provided link, GIA's platform is structured as a decision tree, allowing family members to construct a personalized conversation about their family member's test results. This can be done either on a smartphone or computer. GIA provides basic genetics education and risk assessment and connects family members with local genetic counseling resources to continue this conversation and/or go forward with genetic testing. At the end of the conversation, the family member has the option of having a transcript sent to them via email for their reference. The objective of the current study is to evaluate the application of GIA for cascade testing in newly identified high risk breast and gynecologic mutation carriers. |
| Measure | Description | Time Frame |
|---|---|---|
| Utility: Determine percentage of patients that report "GIA", the Genetic Information Assistant chatbox, is an acceptable form of family disclosure | Participants will complete a survey regarding the acceptability of GIA for use in disclosing results to family members. Feasibility will be assessed by tracking the number of family members contacted through GIA, the number of family members who access/interact with GIA, and the content topics most frequently covered in family member conversations. | 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Impact:To determine percentage of family members that use the GIA chatbox by assessing the number of times GIA was used | Participants will complete a survey regarding the acceptability of GIA for use in disclosing results to family members. Feasibility will be assessed by tracking the number of family members contacted through GIA, the number of family members who access/interact with GIA, and the content topics most frequently covered in family member conversations. |
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Inclusion Criteria:
Exclusion Criteria:
Patient population will be pulled from Gynecologic Oncology Women's Clinic and High Risk Breast and Ovarian Cancer Clinic at UVA
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Virginia | Charlottesville | Virginia | 22908 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27443514 | Result | Ring KL, Bruegl AS, Allen BA, Elkin EP, Singh N, Hartman AR, Daniels MS, Broaddus RR. Germline multi-gene hereditary cancer panel testing in an unselected endometrial cancer cohort. Mod Pathol. 2016 Nov;29(11):1381-1389. doi: 10.1038/modpathol.2016.135. Epub 2016 Jul 22. | |
| 22006311 | Result | Walsh T, Casadei S, Lee MK, Pennil CC, Nord AS, Thornton AM, Roeb W, Agnew KJ, Stray SM, Wickramanayake A, Norquist B, Pennington KP, Garcia RL, King MC, Swisher EM. Mutations in 12 genes for inherited ovarian, fallopian tube, and peritoneal carcinoma identified by massively parallel sequencing. Proc Natl Acad Sci U S A. 2011 Nov 1;108(44):18032-7. doi: 10.1073/pnas.1115052108. Epub 2011 Oct 17. |
| Label | URL |
|---|---|
| SGO Clinical Practice Statement: Genetic Testing for Ovarian Cancer | View source |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Nov 29, 2018 | Jul 11, 2019 | Prot_SAP_000.pdf |
| ICF | No | No | Yes | Informed Consent Form | Dec 17, 2018 | Jul 11, 2019 | ICF_001.pdf |
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| ID | Term |
|---|---|
| D020022 | Genetic Predisposition to Disease |
| ID | Term |
|---|---|
| D004198 | Disease Susceptibility |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| 1 year |