Matthew Norstad1, Simon Outram2, Julia E H Brown2, Astrid N Zamora3, Barbara A Koenig4, Neil Risch5, Mary E Norton6, Anne Slavotinek7, Sara L Ackerman8. 1. Program in Bioethics, University of California San Francisco, San Francisco, CA; Institute for Health & Aging, School of Nursing, University of California San Francisco, San Francisco, CA. Electronic address: matthew.norstad@ucsf.edu. 2. Program in Bioethics, University of California San Francisco, San Francisco, CA; Institute for Health & Aging, School of Nursing, University of California San Francisco, San Francisco, CA. 3. Program in Bioethics, University of California San Francisco, San Francisco, CA; Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI. 4. Program in Bioethics, University of California San Francisco, San Francisco, CA; Institute for Health & Aging, School of Nursing, University of California San Francisco, San Francisco, CA; Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA; Institute for Human Genetics, University of California San Francisco, San Francisco, CA; Department of Social & Behavioral Sciences, School of Nursing, University of California San Francisco, San Francisco, CA; Department of Humanities and Social Sciences, University of California San Francisco, San Francisco, CA. 5. Institute for Human Genetics, University of California San Francisco, San Francisco, CA; Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA. 6. Institute for Human Genetics, University of California San Francisco, San Francisco, CA; Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, San Francisco, CA. 7. Institute for Human Genetics, University of California San Francisco, San Francisco, CA; Division of Medical Genetics, Department of Pediatrics, University of California San Francisco, San Francisco, CA. 8. Program in Bioethics, University of California San Francisco, San Francisco, CA; Department of Social & Behavioral Sciences, School of Nursing, University of California San Francisco, San Francisco, CA.
Abstract
PURPOSE: This study aimed to understand broad data sharing decisions among predominantly underserved families participating in genomic research. METHODS: Drawing on clinic observations, semistructured interviews, and survey data from prenatal and pediatric families enrolled in a genomic medicine study focused on historically underserved and underrepresented populations, this paper expands empirical evidence regarding genomic data sharing communication and decision-making. RESULTS: One-third of parents declined to share family data, and pediatric participants were significantly more likely to decline than prenatal participants. The pediatric population was significantly more socioeconomically disadvantaged and more likely to require interpreters. Opt-in was tied to altruism and participants' perception that data sharing was inherent to research participation. Opt-out was associated with privacy concerns and influenced by clinical staff's presentation of data handling procedures. The ability of participants to make informed choices during enrollment about data sharing was weakened by suboptimal circumstances, which was revealed by poor understanding of data sharing in follow-up interviews as well as discrepancies between expressed participant desires and official recorded choices. CONCLUSION: These empirical data suggest that the context within which informed consent process is conducted in clinical genomics may be inadequate for respecting participants' values and preferences and does not support informed decision-making processes.
PURPOSE: This study aimed to understand broad data sharing decisions among predominantly underserved families participating in genomic research. METHODS: Drawing on clinic observations, semistructured interviews, and survey data from prenatal and pediatric families enrolled in a genomic medicine study focused on historically underserved and underrepresented populations, this paper expands empirical evidence regarding genomic data sharing communication and decision-making. RESULTS: One-third of parents declined to share family data, and pediatric participants were significantly more likely to decline than prenatal participants. The pediatric population was significantly more socioeconomically disadvantaged and more likely to require interpreters. Opt-in was tied to altruism and participants' perception that data sharing was inherent to research participation. Opt-out was associated with privacy concerns and influenced by clinical staff's presentation of data handling procedures. The ability of participants to make informed choices during enrollment about data sharing was weakened by suboptimal circumstances, which was revealed by poor understanding of data sharing in follow-up interviews as well as discrepancies between expressed participant desires and official recorded choices. CONCLUSION: These empirical data suggest that the context within which informed consent process is conducted in clinical genomics may be inadequate for respecting participants' values and preferences and does not support informed decision-making processes.
Authors: Kathleen D Muenzen; Laura M Amendola; Tia L Kauffman; Kathleen F Mittendorf; Jeannette T Bensen; Flavia Chen; Richard Green; Bradford C Powell; Mark Kvale; Frank Angelo; Laura Farnan; Stephanie M Fullerton; Jill O Robinson; Tianran Li; Priyanka Murali; James M J Lawlor; Jeffrey Ou; Lucia A Hindorff; Gail P Jarvik; David R Crosslin Journal: HGG Adv Date: 2022-05-20
Authors: Julia E H Brown; Astrid N Zamora; Simon Outram; Teresa N Sparks; Billie R Lianoglou; Matthew Norstad; Nuriye N Sahin Hodoglugil; Mary E Norton; Sara L Ackerman Journal: Front Genet Date: 2022-05-20 Impact factor: 4.772