Evidence map›Paper›PMID 26458380›Full record

SynthesisCurrent diabetes reports2015

Mobile Phone and Smartphone Technologies for Diabetes Care and Self-Management.

Laura F Garabedian, Dennis Ross-Degnan, J Frank Wharam

Registry-linked trialAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Current diabetes reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03249896 (Effects of a Web/Smartphone-based Lifestyle Coaching Program on Gestational Weight Gain in Pregnant Women With Gestational Diabetes), which is not on this map. Cited by 79 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 6 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.

NCT03249896 naunknown statusnot on this mapstarted 2017, after this paper: background citation

Effects of a Web/Smartphone-based Lifestyle Coaching Program on Gestational Weight Gain in Pregnant Women With Gestational Diabetes

TypeinterventionalSponsorNational University Hospital, SingaporeRan2017 to 2019Enrolled340ConditionsGestational Diabetes, Pregnancy Complications, Weight GainArmsHabits-GDM mobile app
3 · Its place in the literature

Who cites it

79 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  9. Content Analysis: First-Time Patient User Challenges with Top-Rated Commercial Diabetes Apps.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2021
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19 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

3 authors.

Laura F GarabedianDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 133 Brookline Ave, 6th Floor, Boston, MA, 02215, USA. Laura.garabedian@post.harvard.edu.
Dennis Ross-DegnanDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 133 Brookline Ave, 6th Floor, Boston, MA, 02215, USA. Dennis_Ross-Degnan@hms.harvard.edu.
J Frank WharamDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 133 Brookline Ave, 6th Floor, Boston, MA, 02215, USA. Jwharam@post.harvard.edu.

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
NIDDK NIH HHS P30 DK092924
6 · The paper itself

Abstract

Mobile and smartphone (mHealth) technologies have the potential to improve diabetes care and self-management, but little is known about their effectiveness and how patients, providers, and payers currently interact with them. We conducted a systematic review and found only 20 peer-reviewed articles, published since 2010, with robust evidence about the effectiveness of mHealth interventions for diabetes. The majority of these interventions showed improvement on primary endpoints, such as HbA1c; mHealth technologies that interacted with both patients and providers were more likely to be effective. There was little evidence about persistent use by patients, use by a patient's health care provider, or long-term effectiveness. None of the studies discussed regulatory oversight of mHealth technologies or payer reimbursement for them. No robust studies evaluated the more than 1100 publicly available smartphone apps for diabetes. More research with valid study designs and longer follow-up is needed to evaluate the impact of mHealth technologies for diabetes care and self-management.

Indexed as

Cell PhoneSmartphoneTelemedicineDiabetes MellitusHumansSelf CareDiabetesmHealthMobile phonesSelf-managementSmartphone applications

Identifiers

PMID26458380
PMCPMC6525331

What OpenQuestion holds

Textmetadata
LicenceTDM
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.