Evidence map›Paper›PMID 28456513›Full record

SynthesisPreventive medicine2017

Lifestyle interventions based on the diabetes prevention program delivered via eHealth: A systematic review and meta-analysis.

Kevin L Joiner, Soohyun Nam, Robin Whittemore

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03249077 (Evaluating the Implementation of the Diabetes Prevention Program in an Integrated Health System), which is not on this map. Cited by 139 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 9 pooled it
31.5field-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.

NCT03249077 completednot on this map

Evaluating the Implementation of the Diabetes Prevention Program in an Integrated Health System

TypeobservationalSponsorKaiser PermanenteRan2017 to 2021Enrolled8,198ConditionsDiabetesArmsDigital DPP, In-person DPP, DPP not enrolled
3 · Its place in the literature

Who cites it

139 citing papers in PubMed, 9 syntheses or guidelines pooled it, 237 citations in OpenAlex.

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79 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 at 1 institution in 1 country.

Kevin L JoinerYale University, School of Nursing, 400 West Campus Drive, Orange, CT 06477, United States. Electronic address: Kevin.Joiner@yale.edu.
Soohyun NamYale University, School of Nursing, 400 West Campus Drive, Orange, CT 06477, United States. Electronic address: Soohyun.Nam@yale.edu.
Robin WhittemoreYale University, School of Nursing, 400 West Campus Drive, Orange, CT 06477, United States. Electronic address: Robin.Whittemore@yale.edu.
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NURSING RESEARCH TRAINING IN SYMPTOM MANAGEMENTT32NR007088 · NINR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEE, KATHRYN · 1996 to 2015
$7.5M
Multidisciplinary Behavioral Research Training in T1DT32DK097718 · NIDDK · YALE UNIVERSITY · PI GREY, MARGARET, WEINZIMER, STUART ALAN · 2012 to 2017
$771k
Understanding Social Networks and Obesity-risk Behaviors Among Black WomenK23NR014661 · NINR · YALE UNIVERSITY · PI NAM, SOOHYUN · 2014 to 2016
$391k
NCATS NIH HHS UL1 TR001863NIDDK NIH HHS T32 DK097718NINR NIH HHS K23 NR014661NINR NIH HHS T32 NR007088
6 · The paper itself

Abstract

The objective was to describe Diabetes Prevention Program (DPP)-based lifestyle interventions delivered via electronic, mobile, and certain types of telehealth (eHealth) and estimate the magnitude of the effect on weight loss. A systematic review was conducted. PubMed and EMBASE were searched for studies published between January 2003 and February 2016 that met inclusion and exclusion criteria. An overall estimate of the effect on mean percentage weight loss across all the interventions was initially conducted. A stratified meta-analysis was also conducted to determine estimates of the effect across the interventions classified according to whether behavioral support by counselors post-baseline was not provided, provided remotely with communication technology, or face-to-face. Twenty-two studies met the inclusion/exclusion criteria, in which 26 interventions were evaluated. Samples were primarily white and college educated. Interventions included Web-based applications, mobile phone applications, text messages, DVDs, interactive voice response telephone calls, telehealth video conferencing, and video on-demand programing. Nine interventions were stand-alone, delivered post-baseline exclusively via eHealth. Seventeen interventions included additional behavioral support provided by counselors post-baseline remotely with communication technology or face-to-face. The estimated overall effect on mean percentage weight loss from baseline to up to 15months of follow-up across all the interventions was -3.98%. The subtotal estimate across the stand-alone eHealth interventions (-3.34%) was less than the estimate across interventions with behavioral support given by a counselor remotely (-4.31%), and the estimate across interventions with behavioral support given by a counselor in-person (-4.65%). There is promising evidence of the efficacy of DPP-based eHealth interventions on weight loss. Further studies are needed particularly in racially and ethnically diverse populations with limited levels of educational attainment. Future research should also focus on ways to optimize behavioral support.

Indexed as

Life StyleWeight LossCell PhoneDiabetes MellitusHumansRisk Reduction BehaviorTelemedicineText MessagingDiabetes mellitus, type 2Risk reduction behaviorTelemedicine

Identifiers

PMID28456513
PMCPMC5699208
OpenAlexW2610117647

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.