Evidence map›Paper›PMID 41161341›Full record

ArticleJMIR formative research2025

An mHealth App and System Architecture for Respiratory Disease Management: Design Principles, Tool Development, and Pilot Usability Study.

Andrew Chao, Lisa Martignetti, René Groh, Andreas M Kist, Nicole Yk Li-Jessen

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Andrew ChaoSchool of Communication Sciences and Disorders, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.ORCID 0000-0002-2273-9725
Lisa MartignettiSchool of Communication Sciences and Disorders, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.ORCID 0000-0003-0228-0408
René GrohDepartment of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0002-3405-1311
Andreas M KistDepartment of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0003-3643-7776
Nicole Yk Li-JessenSchool of Communication Sciences and Disorders, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.ORCID 0000-0003-2963-4763

Funding

Develop a wireless, skin-conformable and dual-sensing wearable system in support of voice and upper airway telehealth careR01DC021461 · NIDCD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI Wei Gao, Jianyu Li · 2024 to 2026
$1.8M
NIDCD NIH HHS R01 DC021461
6 · The paper itself

Abstract

backgroundMobile health (mHealth) apps are software interfaces that enable users to access and manage wearable technology through smartphones and tablet devices for health improvement purposes. However, many respiratory disease mHealth apps lack transparent development documentation, compromising user confidence in their quality, functionality, and usability.

objectiveThis study aimed to develop and evaluate AIrway, a companion mHealth app designed to interface with an in-house wearable device for monitoring airway symptoms following established mHealth development and reporting standards.

methodsThe development cycle of AIrway comprised 2 study phases. In phase 1, AIrway, a native Android app, was developed following academic and industrial standards (Android material design and Morville's design principles) and privacy regulations (Personal Information Protection and Electronic Documents Act). Core functionalities included location-based environmental monitoring, a clinical diary with action plans, Bluetooth connectivity, and real-time data storage. In phase 2, the usability of AIrway was evaluated by software app developers using standardized assessment tools, namely, the User Version of the Mobile Application Rating Scale survey and the IQVIA questionnaire.

resultsAIrway successfully fulfilled 7 of 8 development criteria on usability, privacy, security, appropriateness, transparency, safety, and technical support, with only the technology aspects requiring refinement. Accessibility assessments confirmed that AIrway's content and interface were comprehensible to the general population (grade 9-10 reading level). Technical testing demonstrated reliable Bluetooth data transmission for up to 10 minutes without interruption. User evaluation scores for the User Version of the Mobile Application Rating Scale (3.6/5.0) and IQVIA (8/11) were comparable to those of similar mHealth apps on the market.

conclusionsBy adhering to established mHealth app design principles, AIrway achieved the necessary accessibility standards and wireless communication capabilities for wearable device integration. Future development will focus on expanding cross-platform compatibility and conducting usability evaluation with intended patient populations to validate its clinical effectiveness and support ongoing improvements.

Indexed as

Mobile ApplicationsRespiratory Tract DiseasesTelemedicineAdultDisease ManagementFemaleHumansMaleMiddle AgedPilot ProjectsSurveys and QuestionnairesWearable Electronic Devicesasthmachronic obstructive pulmonary diseaseCOPDdevelopment guidelines and standardsmobile health appsusability assessmentwearable devices

Identifiers

PMID41161341
PMCPMC12612645

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.