ArticleJournal of medical Internet research2020
Regulatory Sandboxes: A Cure for mHealth Pilotitis?
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Sustainable artificial intelligence in global health: balancing promise, equity, and environmental realities in low- and middle-income countries.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Is Digital Healthcare Better Than None? The Digital Health Technology Dilemma in Low-Income Countries.Asian bioethics review · 2026Article
- Why responsible AI needs regional networks in low-resource health systems.NPJ digital medicine · 2026Review
- Review
- Digital Therapeutics for Cognitive Impairment: Exploring Innovations, Challenges, and Future Prospects.Journal of medical Internet research · 2025Article
- A Method for Enabling Digital Health Technologies in Clinical and Translational Research at an Academic Medical Center.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025Article
- Introducing a Regulatory Sandbox Into the Indonesian Health System Using e-Malaria as a Use Case: Participatory Action Study.Journal of medical Internet research · 2023Article
- Assessing the sustainability and scalability of a diabetes eHealth innovation: a mixed-methods study.BMC health services research · 2023Article
- Protecting the public interest while regulating health professionals providing virtual care: A scoping review.PLOS digital health · 2023Article
- Iterative Development, Validation, and Certification of a Smartphone System to Assess Neonatal Jaundice: Development and Usability Study.JMIR pediatrics and parenting · 2023Article
- The Telemedicine Program Design Canvas: a visual tool for planning telemedicine interventions.Oxford open digital health · 2023Article
- Achieving the potential of mHealth in medicine requires challenging the ethos of care delivery.Primary health care research & development · 2022Article
- Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint.Journal of medical Internet research · 2022Article
- Making Digital Health "Solutions" Sustainable in Healthcare Systems: A Practitioner Perspective.Frontiers in digital health · 2022Article
- Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful Implementation.JMIR medical informatics · 2021Article
- Driving digital transformation of comprehensive primary health services at scale in India: an enterprise architecture framework.BMJ global health · 2021Article
- From spreading to embedding innovation in health care: Implications for theory and practice.Health care management reviewArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mobile health (mHealth) and related digital health interventions in the past decade have not always scaled globally as anticipated earlier despite large investments by governments and philanthropic foundations. The implementation of digital health tools has suffered from 2 limitations: (1) the interventions commonly ignore the "law of amplification" that states that technology is most likely to succeed when it seeks to augment and not alter human behavior; and (2) end-user needs and clinical gaps are often poorly understood while designing solutions, contributing to a substantial decrease in usage, referred to as the "law of attrition" in eHealth. The COVID-19 pandemic has addressed the first of the 2 problems-technology solutions, such as telemedicine, that were struggling to find traction are now closely aligned with health-seeking behavior. The second problem (poorly designed solutions) persists, as demonstrated by a plethora of poorly designed epidemic prediction tools and digital contact-tracing apps, which were deployed at scale, around the world, with little validation. The pandemic has accelerated the Indian state's desire to build the nation's digital health ecosystem. We call for the inclusion of regulatory sandboxes, as successfully done in the fintech sector, to provide a real-world testing environment for mHealth solutions before deploying them at scale.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.