Evidence map›Paper›PMID 35980740›Full record

ArticleJMIR formative research2022

A "No-Code" App Design Platform for Mobile Health Research: Development and Usability Study.

Sam Liu, Henry La, Amanda Willms, Ryan E Rhodes

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sam LiuSchool of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada.ORCID https://orcid.org/0000-0003-2364-7774
Henry LaSchool of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada.ORCID https://orcid.org/0000-0002-1759-9553
Amanda WillmsSchool of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada.ORCID https://orcid.org/0000-0002-2644-5804
Ryan E RhodesSchool of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada.ORCID https://orcid.org/0000-0003-0940-9040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA challenge facing researchers conducting mobile health (mHealth) research is the amount of resources required to develop mobile apps. This can be a barrier to generating relevant knowledge in a timely manner. The recent rise of "no-code" software development platforms may overcome this challenge and enable researchers to decrease the cost and time required to develop mHealth research apps.

objectiveWe aimed to describe the development process and the lessons learned to build Pathverse, a no-code mHealth app design platform.

methodsThe study took place between November 2019 and December 2021. We used a participatory research framework to develop the mHealth app design platform. In phase 1, we worked with researchers to gather key platform feature requirements and conducted an exploratory literature search to determine needs related to this platform. In phase 2, we used an agile software framework (Scrum) to develop the platform. Each development sprint cycle was 4 weeks in length. We created a minimum viable product at the end of 7 sprint cycles. In phase 3, we used a convenience sample of adults (n=5) to gather user feedback through usability and acceptability testing. In phase 4, we further developed the platform based on user feedback, following the V-model software development process.

resultsOur team consulted end users (ie, researchers) and utilized behavior change technique taxonomy and behavior change models (ie, the multi-process action control framework) to guide the development of features. The first version of the Pathverse platform included features that allowed researchers to (1) design customized multimedia app content (eg, interactive lessons), (2) set content delivery logic (eg, only show new lessons when completing the previous lesson), (3) implement customized participant surveys, (4) provide self-monitoring tools, (5) set personalized goals, and (6) customize app notifications. Usability and acceptability testing revealed that researchers found the platform easy to navigate and that the features were intuitive to use. Potential improvements include the ability to deliver adaptive interventions and add features such as community group chat.

conclusionsTo our knowledge, Pathverse is the first no-code mHealth app design platform for developing mHealth interventions for behavior. We successfully used behavior change models and the behavior change technique taxonomy to inform the feature requirements of Pathverse. Overall, the use of a participatory framework, combined with the agile and hybrid-agile software development process, enabled our team to successfully develop the Pathverse platform.

Indexed as

agileapp developmentapplication developmentBCTbehavior changebehavior change techniquecomputer sciencedesign platformdigital platformend userhealth promotionhybrid-agilemHealthmobile appmobile applicationmobile healthno-codeno-code appno-code mHealth appparticipatory researchPathverseplatform developmentresearch instrumentresearch toolsoftware designsoftware developersoftware development

Identifiers

PMID35980740
PMCPMC9437789

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.