Related Experiment Video
Updated: Jan 29, 2026

06:42
Wide-field Fluorescent Microscopy and Fluorescent Imaging Flow Cytometry on a Cell-phone
Published on: April 11, 2013
24.1K
Mobile phone applications for diabetes management: A systematic review
Adrián Quevedo Rodríguez1, Ana M Wägner2
1Universidad de Las Palmas de Gran Canaria, Spain.
Endocrinologia, Diabetes Y Nutricion
|February 13, 2019
Summary
Free mobile apps for diabetes management in Spanish are limited. Most lack quality certification and scientific evidence, and many access personal data, raising privacy concerns for users managing diabetes.
Area of Science:
- Digital Health
- Mobile Health (mHealth)
- Diabetes Management Technology
Background:
- The proliferation of health-related mobile applications extends to diabetes mellitus (DM).
- Assessing the landscape of free, Spanish-language diabetes management apps in the Spanish market is crucial.
Purpose of the Study:
- To evaluate the quality and usability of free mobile applications for diabetes management available in Spanish.
- To identify and rank the top-performing apps based on defined criteria.
Main Methods:
- Systematic review of free Spanish-language diabetes apps on Google Play (Android) and App Store (iOS).
- Evaluation of main functions, quality features, and usability of identified apps.
- Scoring and ranking of apps to create a top list.
Main Results:
- Out of 794 apps, 42 underwent quality assessment and 34 usability assessment.
- The primary function identified was blood glucose diary keeping (71.43%).
- Few apps (7.1%) were evidence-based or had quality labels; most (78.6%) accessed personal data.
Conclusions:
- The availability of free Spanish-language diabetes management apps is limited.
- Most apps lack quality certification and scientific validation.
- Privacy is a concern, as a majority of apps access user data without clear evidence-based foundations.
Related Concept Videos
Diabetes: Management and Pharmacotherapy
1.1K
The therapy for diabetes aims to alleviate hyperglycemia-related symptoms, prevent acute metabolic decompensation, and reduce chronic end-organ complications. Glycemic control is evaluated through short-term (self-monitoring, continuous glucose monitoring) and long-term (A1c, fructosamine) metrics, enabling near real-time tracking of blood glucose levels and reflecting glycemic control over specific time frames.
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
1.1K
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.2K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.2K
Applications of GIS: Disaster Management and Emergency Response
519
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
519
Random and Systematic Errors
14.9K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.9K
Systematic Sampling Method
13.0K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
13.0K

