Evidence mapPaperPMID 28507010Full record

SynthesisAdvances in nutrition (Bethesda, Md.)2017

A Systematic Review of Application and Effectiveness of mHealth Interventions for Obesity and Diabetes Treatment and Self-Management.

Youfa Wang, Hong Xue, Yaqi Huang, Lili Huang, Dongsong Zhang

2 registry-linked trialsAbstract readSystematic Review
In one paragraph

Synthesis in Advances in nutrition (Bethesda, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 152 papers, 25 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
152citing papers in PubMed, 25 pooled it
field-weighted citation impact
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.

NCT03834181 nacompletednot on this mapstarted 2019, after this paper: background citation

Evaluation of a Telemedicine System for Patients Carried for Bariatric Surgery

TypeinterventionalSponsorIHU StrasbourgRan2019 to 2020Enrolled24ConditionsBariatric Surgery CandidateArmsMonitoring evaluation by connected devices: Wristband activity tracker "Garmin Vivosmart® 3", "Fora® Scale 550", "Terraillon® Tensioscreen", Pulse oximeter "Nonin® 3230", thermometer "Fora® IR20b"
NCT05121844 naactive not recruitingnot on this mapstarted 2021, after this paper: background citation

Use of Continuous Glucose Monitoring in Non-Diabetic Population to Compliment Signos Mobile Health Platform: Comprehensive Weight Optimization Program and Customized Lifestyle Modifications

TypeinterventionalSponsorSignos IncRan2021 to 2027Enrolled31,187ConditionsWeight Loss, Metabolic Syndrome, Pre-diabetes, Central ObesityArmsContinuous Glucose Monitor Device
3 · Its place in the literature

Who cites it

152 citing papers in PubMed, 25 syntheses or guidelines pooled it.

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  9. Getting Connected to M-Health Technologies through a Meta-Analysis.International journal of environmental research and public health · 2023
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92 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

5 authors.

Youfa WangSystems-Oriented Global Childhood Obesity Intervention Program, Fisher Institute of Health and Well-being, College of Health, Ball State University, Muncie, IN; ywang26@bsu.edu zhangd@umbc.edu.
Hong XueSystems-Oriented Global Childhood Obesity Intervention Program, Fisher Institute of Health and Well-being, College of Health, Ball State University, Muncie, IN.
Yaqi HuangSystems-Oriented Global Childhood Obesity Intervention Program, Fisher Institute of Health and Well-being, College of Health, Ball State University, Muncie, IN.
Lili HuangSchool of Public Health, Jilin University, Jilin, China.
Dongsong ZhangSoftware School, North University of China, Shanxi, China; and ywang26@bsu.edu zhangd@umbc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of mobile and wireless technologies and wearable devices for improving health care processes and outcomes (mHealth) is promising for health promotion among patients with chronic diseases such as obesity and diabetes. This study comprehensively examined published mHealth intervention studies for obesity and diabetes treatment and management to assess their effectiveness and provide recommendations for future research. We systematically searched PubMed for mHealth-related studies on diabetes and obesity treatment and management published during 2000-2016. Relevant information was extracted and analyzed. Twenty-four studies met inclusion criteria and varied in terms of sample size, ethnicity, gender, and age of the participating patients and length of follow-up. The mHealth interventions were categorized into 3 types: mobile phone text messaging, wearable or portable monitoring devices, and applications running on smartphones. Primary outcomes included weight loss (an average loss ranging from -1.97 kg in 16 wk to -7.1 kg in 5 wk) or maintenance and blood glucose reduction (an average decrease of glycated hemoglobin ranging from -0.4% in 10 mo to -1.9% in 12 mo); main secondary outcomes included behavior changes and patient perceptions such as self-efficacy and acceptability of the intervention programs. More than 50% of studies reported positive effects of interventions based on primary outcomes. The duration or length of intervention ranged from 1 wk to 24 mo. However, most studies included small samples and short intervention periods and did not use rigorous data collection or analytic approaches. Although some studies suggest that mHealth interventions are effective and promising, most are pilot studies or have limitations in their study designs. There is an essential need for future studies that use larger study samples, longer intervention (≥ 6 mo) and follow-up periods (≥ 6 mo), and integrative and personalized innovative mobile technologies to provide comprehensive and sustainable support for patients and health service providers.

Indexed as

Self-ManagementWeight LossBlood GlucoseCell PhoneDiabetes MellitusHealth PromotionHumansMobile ApplicationsMonitoring, AmbulatoryObesityTelemedicineText MessagingBlood GlucosediabetesinterventionmHealthobesityoverweight

Identifiers

PMID28507010
PMCPMC5421120

What Socratic holds

Textmetadata
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 Socratic graph.