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Baroutsou V, Duong V, Signorini A, Saccilotto R, Ciorba FM, Bürki N, Caiata-Zufferey M, Ryu JM, Kim SW, Lim MC, Monnerat C, Zürrer-Härdi U, Kim J, Heinimann K, Graffeo R, Park JS, Rabaglio M, Chappuis PO, Kim S, Katapodi MC. Acceptability and Usability of the Family Gene Toolkit for Swiss and Korean Families Harboring BRCA1/BRAC2 Pathogenic Variants: A Web-Based Platform for Cascade Genetic Testing. Cancers (Basel) 2023; 15:4485. [PMID: 37760455 PMCID: PMC10527353 DOI: 10.3390/cancers15184485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023] Open
Abstract
The study adapted the Family Gene Toolkit and developed a customized web application for Swiss and Korean families harboring BRCA1 or BRCA2 pathogenic variants to support family communication of genetic testing results and promote cascade genetic testing among at-risk relatives. In the first step, narrative data from 68 women with BRCA1/BRCA2 pathogenic variants and clinician feedback informed a culturally sensitive adaptation of the content consistent with current risk management guidelines. In the second step, the Information Technology team developed the functions and the interface of the web application that will host the intervention. In the third step, a new sample of 18 women from families harboring BRCA1/BRCA2 pathogenic variants tested the acceptability and usability of the intervention using "think-aloud" interviews and a questionnaire. Participants expressed high levels of satisfaction with the intervention. They provided positive feedback for the information regarding active coping, strategies to enhance family communication, interactive elements, and illustrative stories. They reported that the information was useful and the web application was easy to navigate. Findings suggest that the Family Gene Toolkit is well-designed and can increase rates of cascade testing among at-risk relatives. Its efficacy will be tested in a subsequent randomized trial.
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Affiliation(s)
- Vasiliki Baroutsou
- Department of Clinical Research, Faculty of Medicine, University of Basel, 4055 Basel, Switzerland; (V.B.); (V.D.); (A.S.); (R.S.)
| | - Vu Duong
- Department of Clinical Research, Faculty of Medicine, University of Basel, 4055 Basel, Switzerland; (V.B.); (V.D.); (A.S.); (R.S.)
| | - Alice Signorini
- Department of Clinical Research, Faculty of Medicine, University of Basel, 4055 Basel, Switzerland; (V.B.); (V.D.); (A.S.); (R.S.)
| | - Ramon Saccilotto
- Department of Clinical Research, Faculty of Medicine, University of Basel, 4055 Basel, Switzerland; (V.B.); (V.D.); (A.S.); (R.S.)
| | - Florina M. Ciorba
- Department of Mathematics and Computer Science, University of Basel, 4051 Basel, Switzerland;
| | - Nicole Bürki
- Women’s Clinic, University Hospital Basel, 4031 Basel, Switzerland;
| | - Maria Caiata-Zufferey
- Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, 6928 Manno, Switzerland;
| | - Jai Min Ryu
- Division of Breast Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea;
| | - Sung-Won Kim
- Department of Breast Surgery, Breast Care Center, Dairim St Mary’s Hospital, Seoul 07442, Republic of Korea;
| | - Myong Cheol Lim
- Division of Tumor Immunology, Center for Gynecologic Cancer Research Institute and Hospital, National Cancer Center, Goyang 10408, Republic of Korea;
| | - Christian Monnerat
- Department of Medical Oncology, Hospital of Jura, 2800 Delemont, Switzerland;
| | - Ursina Zürrer-Härdi
- Department of Medical Oncology, Cantonal Hospital Winterthur, 8400 Winterthur, Switzerland;
| | - Jisun Kim
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea;
| | - Karl Heinimann
- Institute for Medical Genetics and Pathology, University Hospital Basel, 4031 Basel, Switzerland;
- Research Group Human Genomics, Department of Biomedicine, University of Basel, 4031 Basel, Switzerland
| | - Rossella Graffeo
- Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), 6500 Bellinzona, Switzerland;
| | - Ji Soo Park
- Hereditary Cancer Clinic, Cancer Prevention Center, Yonsei Cancer Center, Division of Medical Oncology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03772, Republic of Korea;
| | - Manuela Rabaglio
- Department of Medical Oncology, Inselspital, Bern University Hospital, 3010 Bern, Switzerland;
| | - Pierre Olivier Chappuis
- Unit of Oncogenetics, Division of Precision Oncology, University Hospitals of Geneva, 1205 Geneva, Switzerland;
- Division of Genetic Medicine, University Hospitals of Geneva, 1205 Geneva, Switzerland
| | - Sue Kim
- College of Nursing, Yonsei University, Seoul 03722, Republic of Korea;
| | - Maria C. Katapodi
- Department of Clinical Research, Faculty of Medicine, University of Basel, 4055 Basel, Switzerland; (V.B.); (V.D.); (A.S.); (R.S.)
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Mavragani A, Cerqueira Gonzalez Pena R, Schweighoffer R, Caiata-Zufferey M, Kim S, Hesse-Biber S, Ciorba FM, Lauer G, Katapodi M. Predicting Openness of Communication in Families With Hereditary Breast and Ovarian Cancer Syndrome: Natural Language Processing Analysis. JMIR Form Res 2023; 7:e38399. [PMID: 36656633 PMCID: PMC9896354 DOI: 10.2196/38399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 07/11/2022] [Accepted: 11/24/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND In health care research, patient-reported opinions are a critical element of personalized medicine and contribute to optimal health care delivery. The importance of integrating natural language processing (NLP) methods to extract patient-reported opinions has been gradually acknowledged over the past years. One form of NLP is sentiment analysis, which extracts and analyses information by detecting feelings (thoughts, emotions, attitudes, etc) behind words. Sentiment analysis has become particularly popular following the rise of digital interactions. However, NLP and sentiment analysis in the context of intrafamilial communication for genetic cancer risk is still unexplored. Due to privacy laws, intrafamilial communication is the main avenue to inform at-risk relatives about the pathogenic variant and the possibility of increased cancer risk. OBJECTIVE The study examined the role of sentiment in predicting openness of intrafamilial communication about genetic cancer risk associated with hereditary breast and ovarian cancer (HBOC) syndrome. METHODS We used narratives derived from 53 in-depth interviews with individuals from families that harbor pathogenic variants associated with HBOC: first, to quantify openness of communication about cancer risk, and second, to examine the role of sentiment in predicting openness of communication. The interviews were conducted between 2019 and 2021 in Switzerland and South Korea using the same interview guide. We used NLP to extract and quantify textual features to construct a handcrafted lexicon about interpersonal communication of genetic testing results and cancer risk associated with HBOC. Moreover, we examined the role of sentiment in predicting openness of communication using a stepwise linear regression model. To test model accuracy, we used a split-validation set. We measured the performance of the training and testing model using area under the curve, sensitivity, specificity, and root mean square error. RESULTS Higher "openness of communication" scores were associated with higher overall net sentiment score of the narrative, higher fear, being single, having nonacademic education, and higher informational support within the family. Our results demonstrate that NLP was highly effective in analyzing unstructured texts from individuals of different cultural and linguistic backgrounds and could also reliably predict a measure of "openness of communication" (area under the curve=0.72) in the context of genetic cancer risk associated with HBOC. CONCLUSIONS Our study showed that NLP can facilitate assessment of openness of communication in individuals carrying a pathogenic variant associated with HBOC. Findings provided promising evidence that various features from narratives such as sentiment and fear are important predictors of interpersonal communication and self-disclosure in this context. Our approach is promising and can be expanded in the field of personalized medicine and technology-mediated communication.
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Affiliation(s)
| | | | - Reka Schweighoffer
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Maria Caiata-Zufferey
- Competence Centre for Healthcare Practices and Policies, Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland
| | - Sue Kim
- College of Nursing, Yonsei University, Seoul, Republic of Korea
| | | | - Florina M Ciorba
- Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland
| | - Gerhard Lauer
- Gutenberg-Institut für Weltliteratur und schriftorientierte Medien, Abteilung Buchwissenschaft Johannes Gutenberg, Universität Mainz Philosophicum, Mainz, Germany
| | - Maria Katapodi
- Department of Clinical Research, University of Basel, Basel, Switzerland
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Kim S, Aceti M, Baroutsou V, Bürki N, Caiata-Zufferey M, Cattaneo M, Chappuis PO, Ciorba FM, Graffeo-Galbiati R, Heinzelmann-Schwarz V, Jeong J, Jung MM, Kim SW, Kim J, Lim MC, Ming C, Monnerat C, Park HS, Park SH, Pedrazzani CA, Rabaglio M, Ryu JM, Saccilotto R, Wieser S, Zürrer-Härdi U, Katapodi MC. Using a Tailored Digital Health Intervention for Family Communication and Cascade Genetic Testing in Swiss and Korean Families With Hereditary Breast and Ovarian Cancer: Protocol for the DIALOGUE Study. JMIR Res Protoc 2021; 10:e26264. [PMID: 34114954 PMCID: PMC8235289 DOI: 10.2196/26264] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 02/09/2021] [Accepted: 02/25/2021] [Indexed: 02/06/2023] Open
Abstract
Background In hereditary breast and ovarian cancer (HBOC), family communication of genetic test results is essential for cascade genetic screening, that is, identifying and testing blood relatives of known mutation carriers to determine whether they also carry the pathogenic variant, and to propose preventive and clinical management options. However, up to 50% of blood relatives are unaware of relevant genetic information, suggesting that potential benefits of genetic testing are not communicated effectively within family networks. Technology can facilitate communication and genetic education within HBOC families. Objective The aims of this study are to develop the K-CASCADE (Korean–Cancer Predisposition Cascade Genetic Testing) cohort in Korea by expanding an infrastructure developed by the CASCADE (Cancer Predisposition Cascade Genetic Testing) Consortium in Switzerland; develop a digital health intervention to support the communication of cancer predisposition for Swiss and Korean HBOC families, based on linguistic and cultural adaptation of the Family Gene Toolkit; evaluate its efficacy on primary (family communication of genetic results and cascade testing) and secondary (psychological distress, genetic literacy, active coping, and decision making) outcomes; and explore its translatability using the reach, effectiveness, adoption, implementation, and maintenance framework. Methods The digital health intervention will be available in French, German, Italian, Korean, and English and can be accessed via the web, mobile phone, or tablet (ie, device-agnostic). K-CASCADE cohort of Korean HBOC mutation carriers and relatives will be based on the CASCADE infrastructure. Narrative data collected through individual interviews or mini focus groups from 20 to 24 HBOC family members per linguistic region and 6-10 health care providers involved in genetic services will identify the local cultures and context, and inform the content of the tailored messages. The efficacy of the digital health intervention against a comparison website will be assessed in a randomized trial with 104 HBOC mutation carriers (52 in each study arm). The translatability of the digital health intervention will be assessed using survey data collected from HBOC families and health care providers. Results Funding was received in October 2019. It is projected that data collection will be completed by January 2023 and results will be published in fall 2023. Conclusions This study addresses the continuum of translational research, from developing an international research infrastructure and adapting an existing digital health intervention to testing its efficacy in a randomized controlled trial and exploring its translatability using an established framework. Adapting existing interventions, rather than developing new ones, takes advantage of previous valid experiences without duplicating efforts. Culturally sensitive web-based interventions that enhance family communication and understanding of genetic cancer risk are timely. This collaboration creates a research infrastructure between Switzerland and Korea that can be scaled up to cover other hereditary cancer syndromes. Trial Registration ClinicalTrials.gov NCT04214210; https://clinicaltrials.gov/ct2/show/NCT04214210 and CRiS KCT0005643; https://cris.nih.go.kr/cris/ International Registered Report Identifier (IRRID) PRR1-10.2196/26264
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Affiliation(s)
- Sue Kim
- Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Republic of Korea
| | - Monica Aceti
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Vasiliki Baroutsou
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Nicole Bürki
- Women's Clinic and Gynecological Oncology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Maria Caiata-Zufferey
- La Scuola Universitaria Professionale della Svizzera Italiana (SUPSI), Manno, Switzerland
| | - Marco Cattaneo
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Pierre O Chappuis
- Unit of Oncogenetics, Division of Oncology, Division of Genetic Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Florina M Ciorba
- Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland
| | | | - Viola Heinzelmann-Schwarz
- Women's Clinic and Gynecological Oncology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Joon Jeong
- Department of Surgery, Gangnam Severance Hospital, College of Medicine, Yonsei University, Seoul, Republic of Korea
| | - MiSook M Jung
- College of Nursing, Chungnam National University, Deajeon, Republic of Korea
| | - Sung-Won Kim
- Dairim St Mary's Hospital, Seoul, Republic of Korea
| | - Jisun Kim
- Department of Surgery, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea
| | - Myong Cheol Lim
- Division of Tumor Immunology, Center for Gynecologic Cancer Research Institute and Hospital, National Cancer Center, Goyang, Republic of Korea
| | - Chang Ming
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | | | - Hyung Seok Park
- Department of Surgery, Gangnam Severance Hospital, College of Medicine, Yonsei University, Seoul, Republic of Korea
| | - Sang Hyung Park
- Department of Computer Science, Yonsei University, Seoul, Republic of Korea
| | - Carla A Pedrazzani
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Manuela Rabaglio
- University Clinic for Medical Oncology, Inselspital, Bern, Switzerland
| | - Jai Min Ryu
- Department of Surgery, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea
| | - Ramon Saccilotto
- Department of Clinical Research, University of Basel, Basel, Switzerland
| | - Simon Wieser
- School of Management and Law, Winterthur Institute of Health Economics, Zurich University of Applied Sciences, Winterthur, Switzerland
| | - Ursina Zürrer-Härdi
- Medical Oncology and Hematology, Kantonsspital Winterthur, Winterthur, Switzerland
| | - Maria C Katapodi
- Department of Clinical Research, University of Basel, Basel, Switzerland
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