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schema: An open-source, distributed mobile platform for deploying mHealth research tools and interventions

Shatte, Adrian and Teague, Samantha 2020, schema: An open-source, distributed mobile platform for deploying mHealth research tools and interventions, BMC Medical Research Methodology, vol. 20, no. 1, pp. 1-12, doi: 10.1186/s12874-020-00973-5.

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Title schema: An open-source, distributed mobile platform for deploying mHealth research tools and interventions
Author(s) Shatte, AdrianORCID iD for Shatte, Adrian orcid.org/0000-0002-6225-9697
Teague, SamanthaORCID iD for Teague, Samantha orcid.org/0000-0002-0487-7307
Journal name BMC Medical Research Methodology
Volume number 20
Issue number 1
Article ID 91
Start page 1
End page 12
Total pages 12
Publisher BMC
Place of publication London, Eng.
Publication date 2020-04-25
ISSN 1471-2288
Keyword(s) mHealth
Ecological momentary assessment
Experience sampling
App-based intervention
Science & Technology
Life Sciences & Biomedicine
Health Care Sciences & Services
HEALTH
APPS
Summary Background: Mobile applications for health, also known as 'mHealth apps', have experienced increasing popularity over the past ten years. However, most publicly available mHealth apps are not clinically validated, and many do not utilise evidence-based strategies. Health researchers wishing to develop and evaluate mHealth apps may be impeded by cost and technical skillset barriers. As traditionally lab-based methods are translated onto mobile platforms, robust and accessible tools are needed to enable the development of quality, evidence-based programs by clinical experts. Results: This paper introduces schema, an open-source, distributed, app-based platform for researchers to deploy behavior monitoring and health interventions onto mobile devices. The architecture and design features of the platform are discussed, including flexible scheduling, randomisation, a wide variety of survey and media elements, and distributed storage of data. The platform supports a range of research designs, including cross-sectional surveys, ecological momentary assessment, randomised controlled trials, and micro-randomised just-in-time adaptive interventions. Use cases for both researchers and participants are considered to demonstrate the flexibility and usefulness of the platform for mHealth research. Conclusions: The paper concludes by considering the strengths and limitations of the platform, and a call for support from the research community in areas of technical development and evaluation. To get started with schema, please visit the GitHub repository: Https://github.com/schema-app/schema.
Language eng
DOI 10.1186/s12874-020-00973-5
Indigenous content off
Field of Research 1117 Public Health and Health Services
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2020, The Author(s)
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30136734

Document type: Journal Article
Collections: Faculty of Health
School of Psychology
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.