Evidence map›Paper›PMID 35712029›Full record

ArticleJournal of diabetes research2022

Use and Trends of Diabetes Self-Management Technologies: A Correlation-Based Study.

Jesús Fontecha, Iván González, Alfonso Barragán, Theodore Lim

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 12% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. The role of advanced technologies in improving diabetes outcomes.The American journal of managed care · 2025
    Review
  6. Article
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

4 authors at 2 institutions in 2 countries.

Jesús FontechaMAmI Research Lab. University of Castilla-La Mancha, Ciudad Real, Spain.ORCID https://orcid.org/0000-0001-6379-6841
Iván GonzálezMAmI Research Lab. University of Castilla-La Mancha, Ciudad Real, Spain.ORCID https://orcid.org/0000-0001-5302-1831
Alfonso BarragánMAmI Research Lab. University of Castilla-La Mancha, Ciudad Real, Spain.ORCID https://orcid.org/0000-0002-7752-3905
Theodore LimSchool of Engineering & Physical Sciences, Heriot-Watt University, Edinburgh, UK.ORCID https://orcid.org/0000-0001-8931-2745
University of Castilla-La Mancha · ESHeriot-Watt University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Applications and systems for diabetes self-management are growing and involve a vast majority of factors to consider. This study was aimed at examining the integration of portable technologies for diabetes self-management, as well as benefits and issues arising of its use. From a web-based study on several groups of people with diabetes, most of them accustomed to the daily use of devices and applications for self-control, a deeper analysis based on correlations and inference was conducted considering information about the disease, technology knowledge and devices handling, use of technologies for diabetes control and management, and training with devices from a clinical and educational viewpoint. In this study, more than 70% of participants use Continuous Glucose Systems and additional devices (41.85% also use insulin pumps) which impacts positively on the knowledge of incoming technologies. The "easy to use" factor of current apps for diabetes self-management is the most valuable feature. Also, 88.98% of participants did not use gamification-based methods during the initial training sessions, although gamification is a useful technique in learning stages. An inference analysis shows how specific characteristics of diabetes devices and apps should improve. On the basis of the results, we discuss about benefits, shortcomings, and the state of these technologies and patient needs for the future.

Indexed as

Diabetes MellitusMobile ApplicationsSelf-ManagementHumansInsulin Infusion SystemsTechnology

Identifiers

PMID35712029
PMCPMC9197631
OpenAlexW4281647179

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.