Sharing longitudinal, non-biological birth cohort data: a cross-sectional analysis of parent consent preferences
Abstract Background Mandates abound to share publicly-funded research data for reuse, while data platforms continue to emerge to facilitate such reuse. Birth cohorts (BC) involve longitudinal designs, significant sample sizes and rich and deep datasets. Data sharing benefits include more analyses, g...
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| Format: | Article |
| Language: | English |
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BMC
2018-11-01
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| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12911-018-0683-x |
| _version_ | 1819265909998485504 |
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| author | Kiran Pohar Manhas Shawn X. Dodd Stacey Page Nicole Letourneau Carol E. Adair Xinjie Cui Suzanne C. Tough |
| author_facet | Kiran Pohar Manhas Shawn X. Dodd Stacey Page Nicole Letourneau Carol E. Adair Xinjie Cui Suzanne C. Tough |
| author_sort | Kiran Pohar Manhas |
| collection | DOAJ |
| description | Abstract Background Mandates abound to share publicly-funded research data for reuse, while data platforms continue to emerge to facilitate such reuse. Birth cohorts (BC) involve longitudinal designs, significant sample sizes and rich and deep datasets. Data sharing benefits include more analyses, greater research complexity, increased opportunities for collaboration, amplification of public contributions, and reduced respondent burdens. Sharing BC data involves significant challenges including consent, privacy, access policies, communication, and vulnerability of the child. Research on these issues is available for biological data, but these findings may not extend to BC data. We lack consensus on how best to approach these challenges in consent, privacy, communication and autonomy when sharing BC data. We require more stakeholder engagement to understand perspectives and generate consensus. Methods Parents participating in longitudinal birth cohorts completed a web-based survey investigating consent preferences for sharing their, and their child’s, non-biological research data. Results from a previous qualitative inquiry informed survey development, and cognitive interviewing methods (n = 9) were used to improve the question quality and comprehension. Recruitment was via personalized email, with email and phone reminders during the 14-day window for survey completion. Results Three hundred and forty-six of 569 parents completed the survey in September 2014 (60.8%). Participants preferred consent processes for data sharing in future independent research that were less-active (i.e. no consent or opt-out). Parents’ consent preferences are associated with their communication preferences. Twenty percent (20.2%) of parents generally agreed that their child should provide consent to continue participating in research at age 12, while 25.6% felt decision-making on sharing non-biological research data should begin at age 18. Conclusions These finding reflect the parenting population’s preference for less project-specific permission when research data is non-biological and de-identified and when governance practices are highly detailed and rigourous. Parents recognize that children should become involved in consent for secondary data use, but there is variability regarding when and how involvement occurs. These findings emphasize governance processes and participant notification rather than project-specific consent for secondary use of de-identified, non-biological data. Ultimately, parents prefer general consent processes for sharing de-identified, non-biological research data with ultimate involvement of the child. |
| first_indexed | 2024-12-23T20:52:53Z |
| format | Article |
| id | doaj.art-6f58a115e71b4702aa4c5ee8dc54f7f3 |
| institution | Directory Open Access Journal |
| issn | 1472-6947 |
| language | English |
| last_indexed | 2024-12-23T20:52:53Z |
| publishDate | 2018-11-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj.art-6f58a115e71b4702aa4c5ee8dc54f7f32022-12-21T17:31:37ZengBMCBMC Medical Informatics and Decision Making1472-69472018-11-0118111110.1186/s12911-018-0683-xSharing longitudinal, non-biological birth cohort data: a cross-sectional analysis of parent consent preferencesKiran Pohar Manhas0Shawn X. Dodd1Stacey Page2Nicole Letourneau3Carol E. Adair4Xinjie Cui5Suzanne C. Tough6Community Health Sciences, University of CalgaryUniversity of AlbertaCommunity Health Sciences, University of CalgaryUniversity of CalgaryCommunity Health Sciences, University of CalgaryPolicyWise for Children & FamiliesPolicyWise for Children & FamiliesAbstract Background Mandates abound to share publicly-funded research data for reuse, while data platforms continue to emerge to facilitate such reuse. Birth cohorts (BC) involve longitudinal designs, significant sample sizes and rich and deep datasets. Data sharing benefits include more analyses, greater research complexity, increased opportunities for collaboration, amplification of public contributions, and reduced respondent burdens. Sharing BC data involves significant challenges including consent, privacy, access policies, communication, and vulnerability of the child. Research on these issues is available for biological data, but these findings may not extend to BC data. We lack consensus on how best to approach these challenges in consent, privacy, communication and autonomy when sharing BC data. We require more stakeholder engagement to understand perspectives and generate consensus. Methods Parents participating in longitudinal birth cohorts completed a web-based survey investigating consent preferences for sharing their, and their child’s, non-biological research data. Results from a previous qualitative inquiry informed survey development, and cognitive interviewing methods (n = 9) were used to improve the question quality and comprehension. Recruitment was via personalized email, with email and phone reminders during the 14-day window for survey completion. Results Three hundred and forty-six of 569 parents completed the survey in September 2014 (60.8%). Participants preferred consent processes for data sharing in future independent research that were less-active (i.e. no consent or opt-out). Parents’ consent preferences are associated with their communication preferences. Twenty percent (20.2%) of parents generally agreed that their child should provide consent to continue participating in research at age 12, while 25.6% felt decision-making on sharing non-biological research data should begin at age 18. Conclusions These finding reflect the parenting population’s preference for less project-specific permission when research data is non-biological and de-identified and when governance practices are highly detailed and rigourous. Parents recognize that children should become involved in consent for secondary data use, but there is variability regarding when and how involvement occurs. These findings emphasize governance processes and participant notification rather than project-specific consent for secondary use of de-identified, non-biological data. Ultimately, parents prefer general consent processes for sharing de-identified, non-biological research data with ultimate involvement of the child.http://link.springer.com/article/10.1186/s12911-018-0683-xConsentData sharingNon-biological dataParentPediatricData repository |
| spellingShingle | Kiran Pohar Manhas Shawn X. Dodd Stacey Page Nicole Letourneau Carol E. Adair Xinjie Cui Suzanne C. Tough Sharing longitudinal, non-biological birth cohort data: a cross-sectional analysis of parent consent preferences BMC Medical Informatics and Decision Making Consent Data sharing Non-biological data Parent Pediatric Data repository |
| title | Sharing longitudinal, non-biological birth cohort data: a cross-sectional analysis of parent consent preferences |
| title_full | Sharing longitudinal, non-biological birth cohort data: a cross-sectional analysis of parent consent preferences |
| title_fullStr | Sharing longitudinal, non-biological birth cohort data: a cross-sectional analysis of parent consent preferences |
| title_full_unstemmed | Sharing longitudinal, non-biological birth cohort data: a cross-sectional analysis of parent consent preferences |
| title_short | Sharing longitudinal, non-biological birth cohort data: a cross-sectional analysis of parent consent preferences |
| title_sort | sharing longitudinal non biological birth cohort data a cross sectional analysis of parent consent preferences |
| topic | Consent Data sharing Non-biological data Parent Pediatric Data repository |
| url | http://link.springer.com/article/10.1186/s12911-018-0683-x |
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