ArticleMedical devices (Auckland, N.Z.)2021
Analysis of the Regulatory, Legal, and Medical Conditions for the Prescription of Mobile Health Applications in the United States, The European Union, and France.
Article in Medical devices (Auckland, N.Z.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Effectiveness of a developed self-care mobile application for chest trauma patients: an interventional study.BMC health services research · 2026Article
- Barriers to the Utilization of mHealth Applications in Saudi Arabia: Insights from Patients with Chronic Diseases.Healthcare (Basel, Switzerland) · 2025Article
- How Social Influence Promotes the Adoption of Mobile Health among Young Adults in China: A Systematic Analysis of Trust, Health Consciousness, and User Experience.Behavioral sciences (Basel, Switzerland) · 2024Article
- Transformative Frontiers: A Comprehensive Review of Emerging Technologies in Modern Healthcare.Cureus · 2024Review
- Leveraging patient experience data to guide medicines development, regulation, access decisions and clinical care in the EU.Frontiers in medicine · 2024Review
- Modelling the Predictors of Mobile Health (mHealth) Adoption among Healthcare Professionals in Low-Resource Environments.International journal of environmental research and public health · 2023Article
- Use and Acceptance of Smart Elderly Care Apps Among Chinese Medical Staff and Older Individuals: Web-Based Hybrid Survey Study.JMIR formative research · 2023Article
- The promise of digital healthcare technologies.Frontiers in public health · 2023Review
- Quality of Mobile Apps for Child Development Support: Search in App Stores and Content Analysis.JMIR pediatrics and parenting · 2022Article
- Use of Smartphone Health Apps Among Patients Aged 18 to 69 Years in Primary Care: Population-Based Cross-sectional Survey.JMIR formative research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMobile health (mHealth) is now considered an important approach to extend traditional health services and to meet the growing medical needs. The prescribability of mHealth applications is a complex problem because it depends on a large number of factors and concerns a wide range of disciplines and actors in the industrial, health, normative, and regulatory domains.
objectiveOur study correlated data from the scientific literature with data on regulatory developments in the United States, the European Union, and France with the aim of identifying the conditions for the prescription of mHealth applications.
methodsThe search method adopted was the systematic literature review process by Brereton et al. All empirical evidence from the relevant fields of study was gathered and then evaluated to answer our predefined research questions. The WoS and PubMed databases were queried for the period between 1 January 1975 and 30 November 2020. A total of 165 articles (15 with a direct focus and 150 with an indirect focus on mHealth prescribing) were analyzed/cross-referenced. The ScienceDirect database was consulted to complement the collected data when needed. Data published by international and national regulatory bodies were analyzed in light of the scientific data obtained from the WoS, PubMed, and ScienceDirect databases.
resultsThe International Medical Device Regulators Forum has ensured the international structuring of the regulatory field in collaboration with participating countries. The creation and updating of databases have allowed the tracking of medical device versions/upgrades and incidents. The regulatory organizations of the United States, the European Union, and France are currently consulting healthcare personnel, manufacturers, and patients to establish evaluation criteria for usability and quality of instructions for use that take into consideration patients' level of literacy. These organizations are also providing support to manufacturers who wish to file marketing applications. Marketing, privacy, and cybersecurity measures are evolving with developments in technology and state cooperation policies. The prescription of mHealth applications will gain social acceptance only if consistency and coordination are ensured at all stages of the process: from pre-design, through verification of medical effectiveness, to ethical consideration during data collection and use, and on to marketing.
conclusionThe conditions for mHealth prescribability include the adaptation of international regulation by the different states, the state provision of marketing support, and the evaluation of mHealth applications. For mHealth to gain social acceptance, increased collaboration among physicians, manufacturers, and "information technology stakeholders" is needed. Once this is achieved, MHealth can become the cornerstone of successful health care reform.
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What OpenQuestion holds
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.