Evidence map›Paper›PMID 32343253›Full record

SynthesisJMIR mHealth and uHealth2020

Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews.

Youfa Wang, Jungwon Min, Jacob Khuri, Hong Xue, Bo Xie, Leonard A Kaminsky, Lawrence J Cheskin

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06623006 (Self Management of Type 2 Diabetes Using a Co-designed Mobile Health), which is not on this map. Cited by 156 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed, 15 pooled it
39.4field-weighted citation impact, top 1% 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.

NCT06623006 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

Self Management of Type 2 Diabetes Using a Co-designed Mobile Health (Mhealth) Intervention in Nepal: A Randomized Control Trial

TypeinterventionalSponsorUniversity of HuddersfieldRan2025 to 2026Enrolled154ConditionsType 2 Diabetes Mellitus (T2DM)Armsmobile health (mhealth)
3 · Its place in the literature

Who cites it

156 citing papers in PubMed, 15 syntheses or guidelines pooled it, 247 citations in OpenAlex.

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96 more citing papers are in PubMed but not listed here.

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

7 authors at 6 institutions in 2 countries.

Youfa Wang *Fisher Institute of Health and Well-Being, College of Health, Ball State University, Muncie, IN, United States.ORCID 0000-0001-9916-9233
Jungwon Min *Fisher Institute of Health and Well-Being, College of Health, Ball State University, Muncie, IN, United States.ORCID 0000-0002-5518-9782
Jacob KhuriSchool of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-6760-777X
Hong XueDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA, United States.ORCID 0000-0002-3641-6396
Bo XieSchool of Nursing, The University of Texas at Austin, Austin, TX, United States.ORCID 0000-0002-6016-6008
Leonard A KaminskyFisher Institute of Health and Well-Being, College of Health, Ball State University, Muncie, IN, United States.ORCID 0000-0001-5736-9106
Lawrence J CheskinDepartment of Nutrition and Food Studies, George Mason University, Fairfax, VA, United States.ORCID 0000-0003-0262-1030
Ball State University · USChildren's Hospital of Philadelphia · USImperial College London · GBJohns Hopkins University · USThe University of Texas at Austin · USVirginia Commonwealth University · US

Funding

MULTILEVEL SYSTEMS-ORIENTED CHILDHOOD OBESITY STUDY IN CHINAU54HD070725 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LEE, BRUCE Y · 2011 to 2016
$15.9M
NICHD NIH HHS U54 HD070725
6 · The paper itself

Abstract

backgroundDiabetes and obesity have become epidemics and costly chronic diseases. The impact of mobile health (mHealth) interventions on diabetes and obesity management is promising; however, studies showed varied results in the efficacy of mHealth interventions.

objectiveThis review aimed to evaluate the effectiveness of mHealth interventions for diabetes and obesity treatment and management on the basis of evidence reported in reviews and meta-analyses and to provide recommendations for future interventions and research.

methodsWe systematically searched the PubMed, IEEE Xplore Digital Library, and Cochrane databases for systematic reviews published between January 1, 2005, and October 1, 2019. We analyzed 17 reviews, which assessed 55,604 original intervention studies, that met the inclusion criteria. Of those, 6 reviews were included in our meta-analysis.

resultsThe reviews primarily focused on the use of mobile apps and text messaging and the self-monitoring and management function of mHealth programs in patients with diabetes and obesity. All reviews examined changes in biomarkers, and some reviews assessed treatment adherence (n=7) and health behaviors (n=9). Although the effectiveness of mHealth interventions varied widely by study, all reviews concluded that mHealth was a feasible option and had the potential for improving patient health when compared with standard care, especially for glycemic control (-0.3% to -0.5% greater reduction in hemoglobin A

conclusionsmHealth interventions are promising, but there is limited evidence about their effectiveness in glycemic control and weight reduction. Future research to develop evidence-based mHealth strategies should use valid measures and rigorous study designs. To enhance the effectiveness of mHealth interventions, future studies are warranted for the optimal formats and the frequency of contacting patients, better tailoring of messages, and enhancing usability, which places a greater emphasis on maintaining effectiveness over time.

Indexed as

Diabetes MellitusMobile ApplicationsObesityTelemedicineText MessagingHumansdiabetes mellitusmHealthmobile appobesityoverweighttelemedicine

Identifiers

PMID32343253
PMCPMC7218595
OpenAlexW3003551974

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.