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The number of mobile applications (apps) related to health is increasing, and diabetes mellitus (DM) is not an exception. The aim of this study was to assess the free mobile applications for the management of diabetes available, in Spanish, in the Spanish market.GooglePlay (Android) and AppStore (iOS) were reviewed to identify free apps, in Spanish, aimed at people with diabetes. Their main functions and a series of quality and usability features were evaluated and scored. These scores were used to make a top list with the best apps.Out of 794 registered apps, 42 were evaluated and included in the quality assessment, while 34 apps were included in the usability assessment. The main function of most of the apps was to act as a blood glucose diary (n: 30; 71.43%). As for privacy, most of the applications (33 apps; 78.6%) access device/personal data. Only a minority of apps [3 (7.1%)] reported being based on evidence, and only 3 apps (7.1%) had a quality label. The top scored apps were: OneTouch Reveal™, Social Diabetes™, mySugr: App Diario de diabetes™, Diabetes menú™, Tactio SALUD™ and Diabetes:M™.There are few free apps for diabetes management available in Spanish, most lack quality certification and very few provide scientific references about their content. Furthermore, most of the apps access personal/device data.
Blood Glucose, Self-Management, Mhealth, Spanish, Mobile Applications, Apps de salud, Autogestión, 3206 Ciencias de la nutrición, Health Apps, Telehealth, mHealth, Spain, Diabetes Mellitus, Humans, Smartphone, Cell Phone, Language
Blood Glucose, Self-Management, Mhealth, Spanish, Mobile Applications, Apps de salud, Autogestión, 3206 Ciencias de la nutrición, Health Apps, Telehealth, mHealth, Spain, Diabetes Mellitus, Humans, Smartphone, Cell Phone, Language
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 34 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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