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An mHealth App and System Architecture for Respiratory Disease Management: Design Principles, Tool Development, and Pilot Usability Study
Open accessPublished version of a preprint
Abstract
Background: Mobile 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. Objective: This 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. Methods: The 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. Results: AIrway 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. Conclusions: By 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.
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Development and validation of the user version of the Mobile application rating scale (uMARS)
Stoyanov, S. R., Hides, L., Kavanagh, D. J., & Wilson, H. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5849 · Cited by 872 · cited 2×
“The User Version of the Mobile Application Rating Scale (uMARS) [100] and IQVIA [101] were used.”
What is the clinical value of mHealth for patients?
Rowland, S. P., Fitzgerald, J. E., Holme, T., Powell, J., & McGregor, A. (2020) · npj Digital Medicine · doi:10.1038/s41746-019-0206-x · Cited by 454
Review of Wearable Devices and Data Collection Considerations for Connected Health
Vijayan, V., Connolly, J. P., Condell, J., McKelvey, N., & Gardiner, P. (2021) · Sensors · doi:10.3390/s21165589 · Cited by 435
A review of mobile chatbot apps for anxiety and depression and their self-care features
Ahmed, A., Ali, N., Aziz, S., Abd-alrazaq, A. A., Hassan, A., Khalifa, M., Elhusein, B., Ahmed, M., Ahmed, M. A. S., & Househ, M. (2021) · Computer Methods and Programs in Biomedicine Update · doi:10.1016/j.cmpbup.2021.100012 · Cited by 112
A mobile app–based intervention for depression: end-user and expert usability testing study
Fuller-Tyszkiewicz, M., Richardson, B., Klein, B., Skouteris, H., Christensen, H., Austin, D., Castle, D., Mihalopoulos, C., O'Donnell, R., Arulkadacham, L., et al. (2018) · JMIR Mental Health · doi:10.2196/mental.9445 · Cited by 98
The making of accessible Android applications: an empirical study on the state of the practice
Di Gregorio, M., Di Nucci, D., Palomba, F., & Vitiello, G. (2022) · Empirical Software Engineering · doi:10.1007/s10664-022-10182-x · Cited by 25
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Research works printed but not linked: 60
- 10.1016/S0140-6736(17)33311-1 · DOI
- 10.1186/s12890-023-02583-5 · DOI
- 10.2196/22591 · DOI
- 10.7759/cureus.68921 · DOI · Paper page
- 10.1177/1479972316642365 · DOI · Paper page
- 10.1109/icassp.2018.8461394 · DOI
- 10.1145/3517014 · DOI
- 10.1145/2750858.2805826 · DOI
- 10.2196/39789 · DOI
- 10.1109/TBME.2008.2008165 · DOI
- 10.1109/TBME.2012.2207896 · DOI
- 10.1002/aisy.202100284 · DOI
- 10.3390/app9071505 · DOI
- 10.1183/16000617.0246-2024 · DOI
- 10.1038/s41746-024-01417-w · DOI
- 10.1038/s41746-022-00691-w · DOI
- 10.1038/s41528-024-00355-7 · DOI
- 10.1109/lifetech48969.2020.1570618580 · DOI
- 10.1109/JBHI.2023.3264999 · DOI
- 10.2196/49982 · DOI
- 10.1002/14651858.CD010013.pub2 · DOI · Paper page
- 10.1002/14651858.CD013246.pub2 · DOI
- 10.1007/s13721-023-00419-0 · DOI
- 10.1136/bmjopen-2020-046803 · DOI
- 10.2196/10956 · DOI
- 10.2196/13057 · DOI
- 10.3390/app10031192 · DOI
- 10.1111/opn.12181 · DOI
- CreightonJRYogic Breathing for Post-Traumatic Stress Disorder: Designing an Application to Supplement Learning and Overcome a Stress State [Dissertation]The University of Arizona20142025-10-17https://repository.arizona.edu/bitstream/handle/10150/344450/azu_etd_13601_sip1_m.pdf?sequence=2
- 10.2196/12983 · DOI
- 10.1155/2007/612974 · DOI
- 10.4187/respcare.03795 · DOI
- 10.1111/jocn.15790 · DOI
- 10.1034/j.1399-3003.1999.14d29.x · DOI · Paper page
- 10.1183/13993003.00853-2015 · DOI
- 10.1183/09031936.00102509 · DOI
- 10.1097/00063198-200203000-00001 · DOI
- 10.1038/npjpcrm.2016.83 · DOI
- 10.11622/smedj.2015178 · DOI
- DuBay, WH, 2007, Smart Language: Readers, Readability, and the Grading of Text
- 10.1016/j.envres.2022.114489 · DOI
- 10.4037/ajcc1998.7.3.200 · DOI
- 10.1109/upcon47278.2019.8980238 · DOI
- 10.1145/3410670.3410860 · DOI
- 10.1016/j.future.2015.05.003 · DOI
- 10.1109/cecit53797.2021.00220 · DOI
- 10.3390/s17122898 · DOI · Paper page
- Chapter 4. GATT (services and characteristics)Oreilly20222022-12-09https://www.oreilly.com/library/view/getting-started-with/9781491900550/ch04.html
- 10.5664/jcsm.7396 · DOI
- 10.1016/j.jaip.2019.08.034 · DOI
- 10.1177/20552076231167007 · DOI
- 10.2196/mhealth.4951 · DOI
- 10.2196/50419 · DOI
- 10.1089/ped.2021.0162 · DOI
- 10.21037/atm-20-3678 · DOI
- 10.1016/j.rmed.2022.106947 · DOI
- 10.2196/36065 · DOI
- 10.2196/30674 · DOI
- 10.14722/usec.2014.23006 · DOI
- 10.2196/12103 · DOI
Metadata
- Authors
- Chao, A., Martignetti, L., Groh, R., Kist, A. M., & Li-Jessen, N. Y.
- Affiliations
- McGill University (CA)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Venue
- JMIR Formative Research
- Publisher
- JMIR Publications Inc.
- Published
- 2025-10-29
- Volume
- 9
- Pages
- e73584
- ISSN
- 2561-326X (ISSN-L)
- PMC
- PMC12612645
- OpenAlex
- W4412518588
- Cited by
- 0
- References
- 6
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Formative Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health (1r01dc021461-01a1)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- mobile health apps, respiratory disease management, airway symptoms, app usability, Android app development, Bluetooth connectivity, clinical diary, privacy and security, accessibility, respiratory tract
- MeSH terms
- Wearable Electronic Devices, Adult, Female, Humans, Male, Middle Aged, Pilot Projects, Surveys and Questionnaires, Respiratory Tract Diseases, Telemedicine, Disease Management, Mobile Applications
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