Development of a culturally targeted chatbot to inform living kidney donor candidates of African ancestry about APOL1 genetic testing: a mixed methods study.
Elisa J Gordon, Jessica Gacki-Smith, Matthew J Gooden, Preeya Waite, Rochell Yacat, Zenab R Abubakari, Debra Duquette, Akansha Agrawal, John Friedewald, Sarah K Savage, Matthew Cooper, Alexander Gilbert, Lutfiyya N Muhammad, Catherine Wicklund
{"title":"Development of a culturally targeted chatbot to inform living kidney donor candidates of African ancestry about APOL1 genetic testing: a mixed methods study.","authors":"Elisa J Gordon, Jessica Gacki-Smith, Matthew J Gooden, Preeya Waite, Rochell Yacat, Zenab R Abubakari, Debra Duquette, Akansha Agrawal, John Friedewald, Sarah K Savage, Matthew Cooper, Alexander Gilbert, Lutfiyya N Muhammad, Catherine Wicklund","doi":"10.1007/s12687-024-00698-8","DOIUrl":null,"url":null,"abstract":"<p><p>Clinical chatbots are increasingly used to help integrate genetic testing into clinical contexts, but no chatbot exists for Apolipoprotein L1 (APOL1) genetic testing of living kidney donor (LKD) candidates of African ancestry. Our study aimed to culturally adapt and assess perceptions of the Gia® chatbot to help integrate APOL1 testing into LKD evaluation. Ten focus groups and post-focus group surveys were conducted with 54 LKDs, community members, and kidney transplant recipients of African ancestry. Data were analyzed through thematic analysis and descriptive statistics. Key themes about making Gia culturally targeted included ensuring: (1) transparency by providing Black LKDs' testimonials, explaining patient privacy and confidentiality protections, and explaining how genetic testing can help LKD evaluation; (2) content is informative by educating Black LKDs about APOL1 testing instead of aiming to convince them to undergo testing, presenting statistics, and describing how genetic discrimination is legally prevented; and (3) content avoids stigma about living donation in the Black community. Most agreed Gia was neutral and unbiased (82%), trustworthy (82%), and words, phrases, and expressions were familiar to the intended audience (85%). Our culturally adapted APOL1 Gia chatbot was well regarded. Future research should assess how this chatbot could supplement provider discussion prior to genetic testing to scale APOL1 counseling and testing for LKD candidate clinical evaluation.</p>","PeriodicalId":46965,"journal":{"name":"Journal of Community Genetics","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11031529/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Community Genetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s12687-024-00698-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/13 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Clinical chatbots are increasingly used to help integrate genetic testing into clinical contexts, but no chatbot exists for Apolipoprotein L1 (APOL1) genetic testing of living kidney donor (LKD) candidates of African ancestry. Our study aimed to culturally adapt and assess perceptions of the Gia® chatbot to help integrate APOL1 testing into LKD evaluation. Ten focus groups and post-focus group surveys were conducted with 54 LKDs, community members, and kidney transplant recipients of African ancestry. Data were analyzed through thematic analysis and descriptive statistics. Key themes about making Gia culturally targeted included ensuring: (1) transparency by providing Black LKDs' testimonials, explaining patient privacy and confidentiality protections, and explaining how genetic testing can help LKD evaluation; (2) content is informative by educating Black LKDs about APOL1 testing instead of aiming to convince them to undergo testing, presenting statistics, and describing how genetic discrimination is legally prevented; and (3) content avoids stigma about living donation in the Black community. Most agreed Gia was neutral and unbiased (82%), trustworthy (82%), and words, phrases, and expressions were familiar to the intended audience (85%). Our culturally adapted APOL1 Gia chatbot was well regarded. Future research should assess how this chatbot could supplement provider discussion prior to genetic testing to scale APOL1 counseling and testing for LKD candidate clinical evaluation.
期刊介绍:
The Journal of Community Genetics is an international forum for research in the ever-expanding field of community genetics, the art and science of applying medical genetics to human communities for the benefit of their individuals.
Community genetics comprises all activities which identify persons at increased genetic risk and has an interest in assessing this risk, in order to enable those at risk to make informed decisions. Community genetics services thus encompass such activities as genetic screening, registration of genetic conditions in the population, routine preconceptional and prenatal genetic consultations, public education on genetic issues, and public debate on related ethical issues.
The Journal of Community Genetics has a multidisciplinary scope. It covers medical genetics, epidemiology, genetics in primary care, public health aspects of genetics, and ethical, legal, social and economic issues. Its intention is to serve as a forum for community genetics worldwide, with a focus on low- and middle-income countries.
The journal features original research papers, reviews, short communications, program reports, news, and correspondence. Program reports describe illustrative projects in the field of community genetics, e.g., design and progress of an educational program or the protocol and achievement of a gene bank. Case reports describing individual patients are not accepted.