An Evaluation of Mobile Health Application Tools
Open accessAbstract
BACKGROUND: The rapid growth in the number of mobile health applications could have profound significance in the prevention of disease or in the treatment of patients with chronic disease such as diabetes. OBJECTIVE: The objective of this study was to describe the characteristics of the most common mobile health care applications available in the Apple iTunes marketplace. METHODS: We undertook a descriptive analysis of a sample of applications in the "health and wellness" category of the Apple iTunes Store. We characterized each application in terms of its health factor and primary method of user engagement. The main outcome measures of the analysis were price, health factors, and methods of user engagement. RESULTS: Among the 400 applications that met the inclusion criteria, the mean price of the most frequently downloaded paid applications was US $2.24 (SD $1.30), and the mean price of the most currently available paid applications was US $2.27 (SD $1.60). Fitness/training applications were the most popular (43.5%, 174/400). The next two most common categories were health resource (15.0%, 60/400) and diet/caloric intake (14.3%, 57/400). Applications in the health resource category constituted 5.5% (22/400) of the applications reviewed. Self-monitoring was the most common primary user engagement method (74.8%, 299/400). A total of 20.8% (83/400) of the applications used two or more user engagement approaches, with self-monitoring and progress tracking being the most frequent. CONCLUSIONS: Most of the popular mobile health applications focus on fitness and self-monitoring. The approaches to user engagement utilized by these applications are limited and present an opportunity to improve the effectiveness of the technology.
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Changing a person's personal environment directly enables people to engage in the desired behavior or a behavior that affects the desired health outcome.
“Changing a person’s personal environment directly enables people to engage in the desired behavior or a behavior that affects the desired health outcome (eg, soothing sounds for meditating, which may help with stress) [18].”
From The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review (2019) · cites this paper as [18]
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- Authors
- Sama, P. R., Eapen, Z. J., Weinfurt, K. P., Shah, B. R., & Schulman, K. A.
- Affiliations
- Duke University (US)
- Corresponding author
- Schulman, Kevin A
- Venue
- JMIR mHealth and uHealth
- Publisher
- JMIR Publications Inc.
- Published
- 2014-05-01
- Volume
- 2
- Issue
- 2
- Pages
- e19
- ISSN
- 2291-5222 (ISSN-L)
- PMC
- PMC4114419
- OpenAlex
- W2134542779
- Cited by
- 230
- References
- 14
- Citations by year
- 2026: 2 · 2025: 11 · 2024: 15 · 2023: 13 · 2022: 15 · 2021: 23 · 2020: 21 · 2019: 28 · 2018: 35 · 2017: 26 · 2016: 25 · 2015: 15 · 2014: 1
- FWCI
- 40.43
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR mhealth and uhealth (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Verizon
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Keywords
- mobile health apps, app pricing, self-monitoring, progress monitoring, chronic disease management
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