Evidence map›Paper›PMID 26995281›Full record

Trial reportContemporary clinical trials2016

Track: A randomized controlled trial of a digital health obesity treatment intervention for medically vulnerable primary care patients.

Perry Foley, Dori Steinberg, Erica Levine, Sandy Askew, Bryan C Batch, Elaine M Puleo, Laura P Svetkey, Hayden B Bosworth, Abigail DeVries, Heather Miranda and 1 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Contemporary clinical trials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 7 pooled it
12.2field-weighted citation impact, top 2% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 7 syntheses or guidelines pooled it, 85 citations in OpenAlex.

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  7. Understanding the impact of rural weight loss interventions: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
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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

11 authors at 5 institutions in 1 country.

Perry FoleyDuke Global Digital Health Science Center, Duke Global Health Institute, 310 Trent Drive, Box 90519, Durham, NC 27710, USA. Electronic address: perry.foley@duke.edu.
Dori SteinbergDuke Global Digital Health Science Center, Duke Global Health Institute, 310 Trent Drive, Box 90519, Durham, NC 27710, USA. Electronic address: dori.steinberg@duke.edu.
Erica LevineDuke Global Digital Health Science Center, Duke Global Health Institute, 310 Trent Drive, Box 90519, Durham, NC 27710, USA. Electronic address: erica.levine@duke.edu.
Sandy AskewDuke Global Digital Health Science Center, Duke Global Health Institute, 310 Trent Drive, Box 90519, Durham, NC 27710, USA. Electronic address: sandy.askew@duke.edu.
Bryan C BatchDepartment of Medicine, Division of Endocrinology, Duke University Medical Center, Durham, NC 27710, USA; Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27710, USA. Electronic address: bryan.batch@duke.edu.
Elaine M PuleoSchool of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003-9304, USA. Electronic address: epuleo@schoolph.umass.edu.
Laura P SvetkeyDepartment of Medicine, Division of Endocrinology, Duke University Medical Center, Durham, NC 27710, USA; Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27710, USA. Electronic address: laura.svetkey@duke.edu.
Hayden B BosworthCenter for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, NC 27705, USA. Electronic address: hayden.bosworth@dm.duke.edu.
Abigail DeVriesPiedmont Health Services, Inc., Carrboro, NC 27510, USA. Electronic address: devriesa@piedmonthealth.org.
Heather MirandaPiedmont Health Services, Inc., Carrboro, NC 27510, USA. Electronic address: mirandah@piedmonthealth.org.
Gary G BennettDuke Global Digital Health Science Center, Duke Global Health Institute, 310 Trent Drive, Box 90519, Durham, NC 27710, USA; Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA. Electronic address: gary.bennett@duke.edu.
Duke Institute for Health Innovation · USDuke University · USPiedmont HealthCare · USDuke University Hospital · USUniversity of Massachusetts Amherst · US

Funding

New Media Obesity Treatment in Community Health CentersR01DK093829 · NIDDK · DUKE UNIVERSITY · PI BENNETT, GARY G · 2012 to 2016
$3.2M
Community Based Obesity Prevention Among Black WomenR01DK078798 · NIDDK · DUKE UNIVERSITY · PI BENNETT, GARY G · 2008 to 2012
$3.0M
NIDDK NIH HHS R01 DK078798NIDDK NIH HHS R01 DK093829
6 · The paper itself

Abstract

introductionObesity continues to disproportionately affect medically vulnerable populations. Digital health interventions may be effective for delivering obesity treatment in low-resource primary care settings.

methodsTrack is a 12-month randomized controlled trial of a digital health weight loss intervention in a community health center system. Participants are 351 obese men and women aged 21 to 65years with an obesity-related comorbidity. Track participants are randomized to usual primary care or to a 12-month intervention consisting of algorithm-generated tailored behavior change goals, self-monitoring via mobile technologies, daily self-weighing using a network-connected scale, skills training materials, 18 counseling phone calls with a Track coach, and primary care provider counseling. Participants are followed over 12months, with study visits at baseline, 6, and 12months. Anthropometric data, blood pressure, fasting lipids, glucose and HbA1C and self-administered surveys are collected. Follow-up data will be collected from the medical record at 24months.

resultsParticipants are 68% female and on average 50.7years old with a mean BMI of 35.9kg/m(2). Participants are mainly black (54%) or white (33%); 12.5% are Hispanic. Participants are mostly employed and low-income. Over 20% of the sample has hypertension, diabetes and hyperlipidemia. Almost 27% of participants currently smoke and almost 20% score above the clinical threshold for depression.

conclusionsTrack utilizes an innovative, digital health approach to reduce obesity and chronic disease risk among medically vulnerable adults in the primary care setting. Baseline characteristics reflect a socioeconomically disadvantaged, high-risk patient population in need of evidence-based obesity treatment.

Indexed as

Primary Health CareTelemedicineVulnerable PopulationsAdultAgedBlack or African AmericanBlood GlucoseBlood PressureCommunity Health CentersComorbidityCounselingDiabetes MellitusFemaleGlycated HemoglobinGoalsHealth BehaviorBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanLipidsDigital healthMinority healthMobile healthObesityPrimary careRural healthWeight loss

Identifiers

PMID26995281
PMCPMC4885789
OpenAlexW2301364902

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.