Cited by 97Mobile Health and mHealth ApplicationsDiabetes Management and EducationMobile Learning in Education

Mobile Apps for the Management of Diabetes

Open access
Chavez, Sarah, Fedele, David, Guo, Yi, Bernier, Angelina, Smith, Megan, Warnick, Jennifer, Modave, François·2017·Diabetes Care

Abstract

Approximately 29 million Americans are diagnosed with diabetes. The increased prevalence of type 2 diabetes (T2D) and required intensity of disease management programs are straining health systems, especially in primary care where physicians often lack adequate time with patients. Mobile technologies (e.g., smartphones, wearable devices) provide highly scalable new approaches to T2D management. Approximately 77% of American adults have access to a smartphone regardless of socioeconomic status or ethnicity (1), and more than 50% of smartphone owners use their mobile devices to obtain health information (2). However, mobile health (mHealth) applications (apps) have been found to lack evidence-based support when functionalities and information provided in apps are compared with clinical guidelines for specific disease management (3). The objective of this study was to assess whether popular apps for diabetes management were of sufficient quality to complement clinical care. We used the Mobile App Rating Scale (MARS) (4), a reliable and validated scoring instrument of mHealth app quality, to assess the quality of the most popular free …

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2337/dc17-0853

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • MARS has been diversely and widely used in evaluating smartphone-based health apps, including pain management, weight management, diabetes management, and rheumatology apps.

    “In addition, MARS has been diversely and widely used in evaluating smartphone-based health apps, for instance, pain management apps [31], weight management apps [32], diabetes management apps [33], and rheumatology apps [34,35].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [5]AADE AADE7 Self-Care Behaviors. Diabetes Educ 2008; 34: 445– 449 18535317

Cited by

Sorted by citations

Authors
Chavez, S., Fedele, D., Guo, Y., Bernier, A., Smith, M., Warnick, J., & Modave, F.
Affiliations
  • University of Florida (US)
  • University of Florida Health (US)
  • Department of Health Outcomes and Policy, College of Medicine, University of Florida, Gainesville, FL
Venue
Diabetes Care
Published
2017-08-03
Volume
40
Issue
10
Pages
e145-e146
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W2743794147
Cited by
97
References
4
Citations by year
2026: 3 · 2025: 9 · 2024: 7 · 2023: 10 · 2022: 12 · 2021: 16 · 2020: 12 · 2019: 15 · 2018: 12 · 2017: 1
FWCI
17.73
Type
journal article
Language
en
Open access
Locations
  • Diabetes Care (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (UL1TR001427)
  • National Institute on Aging (P30AG028740)
  • National Center for Advancing Translational Sciences
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Keywords
mobile health apps, diabetes management, type 2 diabetes, app quality assessment, Mobile App Rating Scale, wearable devices, clinical guidelines, primary care

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review