Evidence map›Paper›PMID 25972309›Full record

ArticleJMIR mHealth and uHealth2015

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

Martin F Mendiola, Miriam Kalnicki, Sarah Lindenauer

Registry-linked trialAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07364760 (The Effect of Wellness Coaching and Mobile Application Given To Women Newly Diagnosed With Breast Cancer on Their Psychosocial Adjustment to The Disease and Their Well-Being), which is not on this map. Cited by 113 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 12 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07364760 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

The Effect of Wellness Coaching and Mobile Application Given To Women Newly Diagnosed With Breast Cancer on Their Psychosocial Adjustment to The Disease and Their Well-Being

TypeinterventionalSponsorSaglik Bilimleri UniversitesiRan2026 to 2026Enrolled124ConditionsBreast Cancer FemalesArmsWellness coaching program with mobile application, Group Wellness Coaching Program, Mobile app and group wellness coaching program
3 · Its place in the literature

Who cites it

113 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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  13. Exploring mobile applications for oral health promotion: a randomized clinical trial.Canadian journal of dental hygiene : CJDH = Journal canadien de l'hygiene dentaire : JCHD · 2026
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53 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Martin F MendiolaSocialWellth, Inc, Las Vegas, NV, United States. mfmmdmph@gmail.com.ORCID http://orcid.org/0000-0002-8871-7115

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

objectivesThe 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.

methodsA 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.

resultsAnalysis 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.

conclusionsThese 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.

Indexed as

Affordable Care Actconsumer preferencemHealthmobile apps

Identifiers

PMID25972309
PMCPMC4446515

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.