ArticleDigital health
Strengthening the evidence base for mHealth in clinical practice: Conducting research with standalone or interoperable systems - a viewpoint.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Device based monitoring in digital care and its impact on hospital service use.NPJ digital medicine · 2025Article
- Using a Co-Designed Implementation Enhancement Plan to Increase the Adoption of a Digital Fall Prevention Platform: A Non-Randomized Pre-Post Interventional Study.Journal of multidisciplinary healthcare · 2025Article
- All Hands on Deck. Transforming the Health System Requires Innovation, Through Individual- and Diffusion Efforts Comment on "Employee-Driven Innovation in Health Organizations: Insights From a Scoping Review".International journal of health policy and management · 2024Article
- Bridging digital health gaps in South Africa: A qualitative study of the digital divide, interoperability and health equity.Digital healthArticle
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The aim of this viewpoint is to inform mobile health (mHealth) evidence development in using standalone or interoperable systems in hospital practice. Methods: There is a gap between mHealth research and its widespread uptake in clinical practice. Evidence generation is not keeping up with the introduction and implementation of technologies. This is partly a consequence of the technology characteristics and the way research is conducted in a clinical setting. Research and development of mHealth technology can be conducted standalone in a laboratory like setting, standalone in a clinical setting or interoperable with already existing technology in hospital practice. Results: Standalone systems operate relatively independent from an organizations' existing infrastructure. Using laboratory settings does not reflect the complexity of real-life, but in clinical practice this may be suitable for research assessing usability, feasibility or even clinical and process outcomes at a small scale. Realizing research and development on interoperable mHealth technology solutions, especially with operational EMR systems, is a challenging, time- and resource intensive process and requires large(r) investments, as it is often complicated by a myriad of interfering factors. Interoperable systems are however a more sustainable option in the long run, and generated evidence reflects the real hospital care setting and this option may therefore facilitate dissemination. Choosing either a standalone or interoperable setting affects the research design, the implementation pace and ultimately widespread adoption of the mHealth technology. Conclusion: We recommend to include these technology characteristics in implementation frameworks and think of evaluation research designs in an early phase.
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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.