Cited by 87Mobile Health and mHealth ApplicationsDiabetes Management and EducationDiabetes Management and Research

Improving Diabetes Management With Mobile Health Technology

Sieverdes, John C., Treiber, Frank, Jenkins, Carolyn, Hermayer, Kathie·2013·The American Journal of the Medical Sciences

Abstract

Diabetes affects 25.8 million persons in the United States, and these persons make more than 35 million ambulatory care visits annually. Yet, less than half of persons with diabetes meet the recommended levels of A1C, blood pressure and lipid control. One innovative approach is to use mobile health technologies to help patients better manage their diabetes and related conditions, and 85% to 90% of patients have access to mobile health technology. A brief review of the guidelines for diabetes care and mobile health technology that can support the guidelines are reported related to (1) glycemic control and self-monitoring of blood glucose, (2) pharmacological approaches and medication management, (3) medical nutrition therapy, (4) physical activity and resistance training, (5) weight loss, (6) diabetes self-management education and (7) blood pressure control and hypertension. The patient and provider are encouraged to explore possibilities for mobile health technologies that can support behavior change.

Integrity signals

Registry

Crossref · 10.1097/maj.0b013e3182896cee

Cites

46 of 46 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • A number of systematic or integrated reviews examined RCTs in diabetes management and demonstrated positive physiological and behavioral outcomes as well as incentive-driven outcomes with mHealth systems.

    “a number of systematic or integrated reviews examined randomized controlled trials (RCTs) in diabetes management. These studies have demonstrated positive physiological and behavioral outcomes as well as incentive driven outcomes with mHealth systems [14–17].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Sieverdes, J. C., Treiber, F., Jenkins, C., & Hermayer, K.
Affiliations
Medical University of South Carolina (US)
Corresponding author
Jenkins, Carolyn
Venue
The American Journal of the Medical Sciences
Publisher
Elsevier BV
Published
2013-04
Volume
345
Issue
4
Pages
289-295
ISSN
0002-9629 (ISSN-L)
OpenAlex
W2009260169
Cited by
87
References
46
Citations by year
2026: 2 · 2024: 3 · 2023: 7 · 2022: 8 · 2021: 5 · 2020: 6 · 2019: 7 · 2018: 14 · 2017: 8 · 2016: 8 · 2015: 11 · 2014: 7 · 2013: 1
FWCI
1.08
Type
journal article
Language
en
Open access
closed
Locations
  • The American Journal of the Medical Sciences (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Keywords
diabetes management, mobile health, glycemic control, self-monitoring of blood glucose, medication management, medical nutrition therapy, physical activity, resistance training, weight loss, diabetes self-management education, blood pressure control, hypertension, behavior change, diabetes management guidelines
MeSH terms
Diabetes Mellitus, Humans, Hypertension, Weight Loss, Exercise, Telemedicine, Nutrition Therapy

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