Application of Human Augmentics: A Persuasive Asthma Inhaler
Open accessAbstract
This article describes a tailored health intervention delivered on a mobile phone platform, integrating low-literacy design strategies and basic principles of behavior change, to promote increased adherence and asthma control among underserved minority adolescents. We based the intervention and design principles on theories of Human Augmentics and the Elaboration Likelihood Model. We tested the efficacy of using electronic monitoring devices that incorporate informative and persuasive elements to improve adherence to a prescribed daily medication regimen intended to reduce use of asthma rescue medications. We describe the theoretical framework, hardware and software systems, and results of user testing for design purposes and a clinical pilot study incorporating use of the device and software by the targeted population. The results of the clinical pilot study showed an 83% completion rate for the treatment as well as improved adherence. Of note, 8% and 58% of participants achieved clinically significant adherence targets at baseline and last week of the study, respectively. Rescue asthma medication use decreased from a median of 3 puffs per week at baseline to 0 puffs per week during the last week of the study.
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These mobile health apps have not included scalable text-based health care conversational agents to support communication with health care professionals.
“Although these mobile health apps offer a range of features (eg, automated personalized texts, interactive websites, and online modules) to inform patients about asthma, they have not included scalable text-based health care conversational agents to support communication with health care professionals.”
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Cites
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- Authors
- Grossman, B., Conner, S., Mosnaim, G., Albers, J., Leigh, J., Jones, S., & Kenyon, R.
- Affiliations
- University of Illinois Chicago (US)
- Endeavor Health (US)
- Corresponding author
- Jones, Steve
- Venue
- Journal of Biomedical Informatics
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 67
- Pages
- 51-58
- ISSN
- 1532-0464 (ISSN-L)
- OpenAlex
- W2588376483
- Cited by
- 18
- References
- 20
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 4 · 2020: 2 · 2019: 1 · 2017: 1
- FWCI
- 1.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Biomedical Informatics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute (K23 HL092292, R21 HL098812)
- University of Illinois at Chicago Center for Clinical and Translational Science (UL1RR02789)
- GlaxoSmithKline (FLV117251)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- asthma inhalers, medication adherence, asthma control, persuasive technology, mobile health intervention, behavior change, elaboration likelihood model, electronic medication monitoring, rescue medication use, user testing
- MeSH terms
- Adolescent, Asthma, Female, Humans, Male, Minority Groups, Monitoring, Physiologic, Nebulizers and Vaporizers, Patient Education as Topic, Persuasive Communication, Pilot Projects, Likelihood Functions, Anti-Asthmatic Agents, Cell Phone, Health Literacy
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