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Data · dataset · 2025

Behavioural perspectives on personal health data sharing and app design : an international survey study

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.1017/dap.2025.10032

There is a growing attention towards personalised digital health interventions such as health apps.

Description

These often depend on the collection of sensitive personal data, which users generally have limited control over. This work explores perspectives on data sharing and health apps in two different policy contexts, London and Hong Kong.

Through this study, our goal is to generate insight about what digital health futures should look like and what needs to be done to achieve them. Using a survey based on a hypothetical health app, we considered a range of behavioural influences on personal health data sharing with the Capability, Opportunity, Motivation model of Behaviour (COM-B) to explore some of the key factors affecting the acceptability of data sharing.

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Results indicate that willingness to use health apps is influenced by users’ data literacy and control, comfort with sharing health and location data, existing health concerns, access to personalised health advice from a trusted source, and willingness to provide data access to specific parties. Gender is a statistically significant factor, as men are more willing to use health apps. Survey respondents in London are statistically more willing to use health apps than respondents in Hong Kong.

Finally, we propose several policy approaches to address these factors, which include the co-creation of standards for using artificial intelligence (AI) to generate health advice, innovating app design and governance models that allow users to carefully control their data, and addressing concerns of gender-specific privacy risks and public trust in institutions dealing with data.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Behavioural epidemiology 77%
Provenance · 3 source records, 15 field assertions
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ZivaHuboai:figshare.com:article/3404718011 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/3404718011 d agoJSON v1
DMU Figshareoai:figshare.com:article/3404718011 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
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concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:medicine-healthmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:medicine-healthmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
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concepts[field].local:field:psychology-behavioralmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:psychology-behavioralmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
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