Evidence map›Paper›PMID 28103935›Full record

Trial reportThe international journal of behavioral nutrition and physical activity2017

A pragmatic examination of active and passive recruitment methods to improve the reach of community lifestyle programs: The Talking Health Trial.

Paul Estabrooks, Wen You, Valisa Hedrick, Margaret Reinholt, Erin Dohm, Jamie Zoellner

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The international journal of behavioral nutrition and physical activity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02193009 (SipSmarter), which is not on this map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 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.

NCT02193009 nacompletednot on this map

SipSmarter: A Nutrition Literacy Approach to Reducing Sugary Beverages

TypeinterventionalSponsorVirginia Polytechnic Institute and State UniversityRan2011 to 2015Enrolled304ConditionsDietary Habits, Physical ActivityArmsSipSmarter, MoveMore
3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. Electronic Monitoring Of Mom's Schedule (eMOMSPreventive medicine reports · 2023
    Article
  20. Targeted Strategies for Recruitment and Engagement of Latinx Immigrants in Longitudinal Biobehavioral Research.Hispanic health care international : the official journal of the National Association of Hispanic Nurses · 2023
    Article
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

6 authors.

Paul EstabrooksDepartment of Health Promotion, Social and Behavioral Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA. paul.estabrooks@unmc.edu.
Wen YouDepartment of Applied and Agricultural Economics, Virginia Tech, 304 Hutcheson Hall, Virginia Tech, Blacksburg, VA, 24061, USA.
Valisa HedrickDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, 335A Wallace Hall, Virginia Tech, Blacksburg, VA, 24061, USA.
Margaret ReinholtDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, 1981 Kraft Drive, 1031 ILSB, Blacksburg, VA, 24060, USA.
Erin DohmDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, 1981 Kraft Drive, 1031 ILSB, Blacksburg, VA, 24060, USA.
Jamie ZoellnerDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, 1981 Kraft Drive, 1031 ILSB, Blacksburg, VA, 24060, USA.

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI RIZZO, MATTHEW · 2016 to 2025
$42.8M
SIPsmartER: A nutrition literacy approach to reducing sugar-sweetened beveragesR01CA154364 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI ZOELLNER, JAMIE · 2011 to 2015
$2.8M
NCI NIH HHS R01 CA154364NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

backgroundA primary challenge for behavior change strategies is ensuring that interventions can be effective while also attracting a broad and representative sample of the target population. The purpose of this case-study was to report on (1) the reach of a randomized controlled trial targeting reduced sugary beverages, (2) potential participant characteristic differences based on active versus passive recruitment strategies, and (3) recruitment strategy cost.

methodsDemographic and recruitment information was obtained for 8 counties and for individuals screened for participation. Personnel activities and time were tracked. Costs were calculated and compared by active versus passive recruitment.

resultsSix-hundred and twenty, of 1,056 screened, individuals were eligible and 301enrolled (77% women; 90% white; mean income $21,981 ± 16,443). Eighty-two and 44% of those responding to passive and active methods, respectively, enrolled in the trial. However, active recruitment strategies yielded considerably more enrolled (active = 199; passive = 102) individuals. Passive recruitment strategies yielded a less representative sample in terms of gender (more women), education (higher), and income (higher; p's <0.05). The average cost of an actively recruited and enrolled participant was $278 compared to $117 for a passively recruited and enrolled participant.

conclusionsThough passive recruitment is more cost efficient it may reduce the reach of sugary drink reduction strategies in lower educated and economic residents in rural communities.

trial registrationClinicaltrials.gov; ID: NCT02193009 , July 2014, retrospectively registered.

Indexed as

CommunicationDietLife StylePatient SelectionResidence CharacteristicsRural PopulationAdultBeveragesCosts and Cost AnalysisDietary SucroseFeeding BehaviorFemaleHealth PromotionHumansMaleMiddle AgedDietary SucroseBehavioral researchBeveragesRandomized controlled trialReachRepresentativenessRural population

Identifiers

PMID28103935
PMCPMC5248490

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.