2022
DOI: 10.1177/20552076221084458
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Collecting and sharing self-generated health and lifestyle data: Understanding barriers for people living with long-term health conditions – a survey study

Abstract: Background The growing popularity of collecting self-generated health and lifestyle data presents a valuable opportunity to develop our understanding of long-term health conditions and improve care. Barriers remain to the effective sharing of health and lifestyle data by those living with long-term health conditions which include beliefs around concepts of Trust, Identity, Privacy and Security, experiences of stigma, perceptions of risk and information sensitivity. Method We surveyed 250 UK adults who reported… Show more

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Cited by 11 publications
(9 citation statements)
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“…While recent federal efforts have resulted in affordable broadband access to 94% of Canadians, 57 , 58 which may reduce the potential bias of a web-based survey, other digital divide factors, such as a lack of digital literacy, may hinder participation and must be considered. Another source of bias is the low response rate; however, this rate is consistent with other web-panel studies 57 , 59 64 and is expected for population surveys of this length administered on the web and without financial incentive. 65 Lastly, the cross-sectional design provides a snapshot of the experience and needs of the population, especially with the dynamic nature of jurisdictional pandemic responses and their impact on Canadians.…”
Section: Discussionsupporting
confidence: 85%
“…While recent federal efforts have resulted in affordable broadband access to 94% of Canadians, 57 , 58 which may reduce the potential bias of a web-based survey, other digital divide factors, such as a lack of digital literacy, may hinder participation and must be considered. Another source of bias is the low response rate; however, this rate is consistent with other web-panel studies 57 , 59 64 and is expected for population surveys of this length administered on the web and without financial incentive. 65 Lastly, the cross-sectional design provides a snapshot of the experience and needs of the population, especially with the dynamic nature of jurisdictional pandemic responses and their impact on Canadians.…”
Section: Discussionsupporting
confidence: 85%
“…Thus, data sharing with others almost becomes a by-product rather than the main functionality. This is also supported by previous research [ 61 ] into barriers to sharing data which supports that data is shared overwhelmingly for better management of their own condition instead of improving the health of others. It is hence necessary to consider how to motivate users to keep sharing data and how data sharing can be used for an individual’s benefit.…”
Section: Discussionsupporting
confidence: 81%
“…Most information concerning control over risk is received from ‘ Dr Google ’, though trusted sources such as the NHS and various health charities are sometimes reported as playing a vital role in validating this information. Trust is increasingly seen as a central component of engaging with digital health information, particularly among the growing portion of society living with existing health conditions (Brown et al, 2022a ; Brown et al, 2022b ; Simpson et al, 2021 ). Given the rise in health misinformation, and the belief that it is other people not ourselves that are typically susceptible to believing misinformation online, further attempts are needed to combat this growing ‘infodemic’.…”
Section: Discussionmentioning
confidence: 99%