Features and usability assessment of a patient-centered mobile application (HeartMapp) for self-management of heart failure
Abstract
Background Mobile health technologies have emerged as a way to actively engage patients in their healthcare decision-making process. One who is well informed and motivated is thought to engage in self-management activities. Thus, the conceptual framework included "information, motivation, and behavioral change" model, with patient engagement as a mediator in the development and assessment of a mobile health application "HeartMapp" for chronic heart failure (CHF) self-management.Purpose To describe the development and features of the HeartMapp and preliminary assessment of the usability of HeartMapp.Method A descriptive survey design was employed. A total of 37 participants (25 patients with CHF and 12 health care workers) navigated the HeartMapp and completed self-confidence and usability questionnaires.Results More than half of the patients used mobile phones to obtain health information. Patients reported moderate self-confidence (mean 26.60±12.18) in using HeartMapp. One in five patients reported a lack of confidence in using the chest-worn Bluetooth device. The observational data indicated that all patients completed the task of navigating the HeartMapp with little or no help. The health care members (n=12) demonstrated high confidence in recommending HeartMapp to patients (mean 4.58±0.67) and in utilizing data from HeartMapp for clinical decision making (mean 4.50±0.67). The self-confidence and usability questionnaires showed good reliability in this sample.Conclusion Having access to CHF symptom monitoring and education readily available in a mobile app may motivate individuals to engage in the prescribed self-management skills to ultimately attain desired outcomes, which warrants further exploration.
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By wearing a smart device or manual data entry for a prolonged period, individuals will be able to communicate to their healthcare workers without disrupting their daily lives.
“Here, by wearing a smart device or manual data entry for a prolonged period, individuals will be able to communicate to their healthcare workers without the need of disrupting their daily lives [35].”
From The rise of artificial intelligence in healthcare applications (2020) · cites this paper as [35]
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- Authors
- Athilingam, P., Labrador, M. A., Remo, E. F. J., Mack, L., San Juan, A. B., & Elliott, A. F.
- Affiliations
- University of South Florida (US)
- Tampa General Hospital (US)
- Corresponding author
- Athilingam, Ponrathi
- Venue
- Applied Nursing Research
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 32
- Pages
- 156-163
- ISSN
- 0897-1897 (ISSN-L)
- OpenAlex
- W2460108972
- Cited by
- 78
- References
- 67
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 7 · 2023: 7 · 2022: 14 · 2021: 6 · 2020: 12 · 2019: 11 · 2018: 6 · 2017: 7
- FWCI
- 14.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Nursing Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Keywords
- mobile health apps, chronic heart failure, self-management, patient-centered care, usability, patient engagement, symptom monitoring, patient self-confidence, health education
- MeSH terms
- Heart Failure, Humans, Self Care, Health Behavior, Mobile Applications
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