Towards a contextual theory of Mobile Health Data Protection (MHDP): A realist perspective

International Journal of Medical Informatics
Javad PoolFarhad Fatehi

Abstract

With the introduction of privacy regulations such as the California Consumer Privacy Act and the European Union General Data Protection Regulation (GDPR), effective data protection in mobile health (mHealth) is rapidly becoming a concern. However, we have a limited understanding of the contexts and mechanisms that affect the likelihood of failures and successes in mHealth data protection, and their subsequent impacts. In this review and theory development paper, we aim to address this critical knowledge gap. We conducted a systematic literature search using PubMed, Embase, and Scopus databases. To synthesize the evidence, we adopted a realist review approach and compiled the extracted information based on context-mechanism-outcome (CMO) configurations. Out of an initial set of 611 records, 19 articles met the eligibility criteria and were included. Our findings indicate that the failures and successes in data protection and their impacts (effective mHealth interventions, data protection awareness, and adoption/use of mHealth systems) depend contingently upon a number of contextual factors (systems, users, tasks, services, geographic elements) and causal mechanisms (unauthorized access, device theft, loss, and sharing, lack of c...Continue Reading

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Citations

Feb 28, 2021·International Journal of Medical Informatics·Steven LockeyShannon Colville
May 1, 2021·Sensors·Dragos Daniel Taralunga, Bogdan Cristian Florea

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