Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Feb 28, 2025)
Date Submitted: Feb 13, 2023
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Privacy and Trust in Healthcare IoT Data Sharing: A Snapshot of the Users’ Perspectives
ABSTRACT
Background:
Healthcare services in Canada are slowly shifting from in-hospital care to patient-centred, home-care services. Collecting and sharing personal data from individuals via Internet of Things (IoT) devices has become a critical part of this change, which can lead to better decision-making and better support for patients from healthcare providers. However, some challenges come from using technology, including concerns around trust in organizations holding individuals' data and privacy and security related to data sharing that needs to be considered as part of this new model of care.
Objective:
This study investigates users' trust in sharing their data collected using healthcare IoT devices via different organizations.
Methods:
This research project leveraged a literature review and online questionnaires to understand how general users of IoT for Health perceive and trust different types of organizations (large companies, government, healthcare providers, and insurance companies). A total of 400 participants were recruited using Mechanical Turk for the online questionnaire, using a between- subjects design. Each participant was presented with a scenario related to using various IoT technologies, information about data sharing, and a list of privacy concerns associated with specific organizations that handle health-related data. Based on this scenario, participants were asked to answer 16 trust-related questions. Results were analyzed using Analysis of Variance (ANOVA), followed by posthoc comparisons using the pairwise t-test with the Bonferroni correction.
Results:
The study showed no significant differences regarding privacy concerns (LConcern) in Canada, the United States (USA), and Europe (F (2, 389) = 0.736, P = .480). Overall levels of trust (Ltrust) in the USA varied significantly between large companies, government, healthcare providers, and insurance companies (F (3, 388) = 10.107, P < .05). The same results were observed in Canada, with a significant difference between the four types of organizations (F (3, 125) = 6.882, P < .05), USA (F (3, 128) = 4.488, P =.05), and in Europe, as well (F (3, 127) = 4.451, P < 0.05).
Conclusions:
The results suggest differences in users' perceptions of trust associated with the types of organizations. Additionally, levels of concern regarding privacy and data ownership varied among users. The findings identified differences in the perception of trust between the different regions of the participants.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.