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Valuable features in mobile health apps for patients and consumers: content analysis of apps and user ratings.

Mendiola MF, Kalnicki M, Lindenauer S - JMIR Mhealth Uhealth (2015)

Bottom Line: A collection of 234 apps associated with reputable health organizations found in the medical, health, and fitness categories of the Apple iTunes store and Google Play marketplace was assessed manually for the presence of 12 app features and characteristics.Further investigation into mHealth app features is worthwhile given the inability of the most common features to explain a large portion of an app's rating.Additional investigations into understanding the impact of synergistic features, incentives, social media, and gamification are also warranted to identify possible future trends.

View Article: PubMed Central - HTML - PubMed

Affiliation: SocialWellth, Inc, Las Vegas, NV, United States. mfmmdmph@gmail.com.

ABSTRACT

Background: The explosion of mobile phones with app capabilities coupled with increased expectations of the patient-consumers' role in managing their care presents a unique opportunity to use mobile health (mHealth) apps.

Objectives: The aim of this paper is to identify the features and characteristics most-valued by patient-consumers ("users") that contribute positively to the rating of an app.

Methods: A collection of 234 apps associated with reputable health organizations found in the medical, health, and fitness categories of the Apple iTunes store and Google Play marketplace was assessed manually for the presence of 12 app features and characteristics. Regression analysis was used to determine which, if any, contributed positively to a user's rating of the app.

Results: Analysis of these 12 features explained 9.3% (R(2)=.093 n=234, P<.001) of the variation in an app's rating, with only 5 reaching statistical significance. Of the 5 reaching statistical significance, plan or orders, export of data, usability, and cost contributed positively to a user's rating, while the tracker feature detracted from it.

Conclusions: These findings suggest that users appreciate features that save time over current methods and identify an app as valuable when it is simple and intuitive to use, provides specific instructions to better manage a condition, and shares data with designated individuals. Although tracking is a core function of most health apps, this feature may detract from a user's experience when not executed properly. Further investigation into mHealth app features is worthwhile given the inability of the most common features to explain a large portion of an app's rating. In the future, studies should focus on one category in the app store, specific diseases, or desired behavior change, and methods should include measuring the quality of each feature, both through manual assessment and evaluation of user reviews. Additional investigations into understanding the impact of synergistic features, incentives, social media, and gamification are also warranted to identify possible future trends.

No MeSH data available.


Related in: MedlinePlus

Plan or orders feature in the Couch-to-5K app.
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Related In: Results  -  Collection

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figure2: Plan or orders feature in the Couch-to-5K app.

Mentions: App features and characteristics.


Valuable features in mobile health apps for patients and consumers: content analysis of apps and user ratings.

Mendiola MF, Kalnicki M, Lindenauer S - JMIR Mhealth Uhealth (2015)

Plan or orders feature in the Couch-to-5K app.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4446515&req=5

figure2: Plan or orders feature in the Couch-to-5K app.
Mentions: App features and characteristics.

Bottom Line: A collection of 234 apps associated with reputable health organizations found in the medical, health, and fitness categories of the Apple iTunes store and Google Play marketplace was assessed manually for the presence of 12 app features and characteristics.Further investigation into mHealth app features is worthwhile given the inability of the most common features to explain a large portion of an app's rating.Additional investigations into understanding the impact of synergistic features, incentives, social media, and gamification are also warranted to identify possible future trends.

View Article: PubMed Central - HTML - PubMed

Affiliation: SocialWellth, Inc, Las Vegas, NV, United States. mfmmdmph@gmail.com.

ABSTRACT

Background: The explosion of mobile phones with app capabilities coupled with increased expectations of the patient-consumers' role in managing their care presents a unique opportunity to use mobile health (mHealth) apps.

Objectives: The aim of this paper is to identify the features and characteristics most-valued by patient-consumers ("users") that contribute positively to the rating of an app.

Methods: A collection of 234 apps associated with reputable health organizations found in the medical, health, and fitness categories of the Apple iTunes store and Google Play marketplace was assessed manually for the presence of 12 app features and characteristics. Regression analysis was used to determine which, if any, contributed positively to a user's rating of the app.

Results: Analysis of these 12 features explained 9.3% (R(2)=.093 n=234, P<.001) of the variation in an app's rating, with only 5 reaching statistical significance. Of the 5 reaching statistical significance, plan or orders, export of data, usability, and cost contributed positively to a user's rating, while the tracker feature detracted from it.

Conclusions: These findings suggest that users appreciate features that save time over current methods and identify an app as valuable when it is simple and intuitive to use, provides specific instructions to better manage a condition, and shares data with designated individuals. Although tracking is a core function of most health apps, this feature may detract from a user's experience when not executed properly. Further investigation into mHealth app features is worthwhile given the inability of the most common features to explain a large portion of an app's rating. In the future, studies should focus on one category in the app store, specific diseases, or desired behavior change, and methods should include measuring the quality of each feature, both through manual assessment and evaluation of user reviews. Additional investigations into understanding the impact of synergistic features, incentives, social media, and gamification are also warranted to identify possible future trends.

No MeSH data available.


Related in: MedlinePlus