Evidence map›Paper›PMID 31339104›Full record

ArticleJMIR research protocols2019

Dissemination and Effectiveness of the Peer Marketing and Messaging of a Web-Assisted Tobacco Intervention: Protocol for a Hybrid Effectiveness Trial.

Jamie M Faro, Elizabeth A Orvek, Amanda C Blok, Catherine S Nagawa, Annalise J McDonald, Gregory Seward, Thomas K Houston, Ariana Kamberi, Jeroan J Allison, Sharina D Person and 7 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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.

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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

17 authors.

Jamie M FaroDivision of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID http://orcid.org/0000-0002-6592-463X
Elizabeth A OrvekDivision of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID http://orcid.org/0000-0001-6974-6263
Amanda C BlokDivision of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID http://orcid.org/0000-0002-5329-0393
Catherine S NagawaDivision of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID http://orcid.org/0000-0002-7761-118X
Annalise J McDonaldDivision of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID http://orcid.org/0000-0001-5668-0728
Gregory SewardDivision of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID http://orcid.org/0000-0002-6858-5207
Thomas K HoustonDivision of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID http://orcid.org/0000-0002-2909-4018
Ariana KamberiDivision of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID http://orcid.org/0000-0001-5363-825X
Jeroan J AllisonDivision of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID http://orcid.org/0000-0003-4472-2112
Sharina D PersonDivision of Biostatistics And Health Services Research, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID http://orcid.org/0000-0001-9121-9566
Bridget M SmithCenter of Innovation for Complex Chronic Healthcare, Spinal Cord Injury Quality Enhancement Research Initiative, Hines VA Medical Center, Chicago, IL, United States.ORCID http://orcid.org/0000-0002-3301-8843
Kathleen BradyS2S Patient Panel, Worcester, MA, United States.ORCID http://orcid.org/0000-0002-5963-2294
Tina GrosowskyS2S Patient Panel, Worcester, MA, United States.ORCID http://orcid.org/0000-0003-4086-1713
Lewis L JacobsenS2S Patient Panel, Worcester, MA, United States.ORCID http://orcid.org/0000-0003-4011-075X
Jennifer PaineS2S Patient Panel, Worcester, MA, United States.ORCID http://orcid.org/0000-0002-7638-4587
James M WelchS2S Patient Panel, Worcester, MA, United States.ORCID http://orcid.org/0000-0002-9999-4783
Rajani S SadasivamDivision of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID http://orcid.org/0000-0001-8406-6207

Funding

Implementation Research Training Program in Cancer Prevention and ControlR25CA172009 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HOUSTON, THOMAS K, LEMON, STEPHENIE C. · 2014 to 2018
$1.9M
Prevention And Control of Cancer: Training for Change in Individuals and SystemsT32CA172009 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEMON, STEPHENIE C., OCKENE, JUDITH K · 2019 to 2023
$1.5M
Developing Smokers for Smoker (S4S): A Collective Intelligence tailoring systemK07CA172677 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SADASIVAM, RAJANI · 2013 to 2017
$702k
NCI NIH HHS K07 CA172677NCI NIH HHS R25 CA172009NCI NIH HHS T32 CA172009
6 · The paper itself

Abstract

backgroundSmoking continues to be the leading preventable cause of death. Digital Interventions for Smoking Cessation (DISCs) are health communication programs accessible via the internet and smartphones and allow for greater reach and effectiveness of tobacco cessation programs. DISCs have led to increased 6-month cessation rates while also reaching vulnerable populations. Despite this, the impact of DISCs has been limited and new ways to increase access and effectiveness are needed.

objectiveWe are conducting a hybrid effectiveness-dissemination study. We aim to evaluate the effectiveness of a machine learning-based approach (recommender system) for computer-tailored health communication (CTHC) over a standard CTHC system based on quit rates and risk reduction. In addition, this study will assess the dissemination of providing access to a peer recruitment toolset on recruitment rate and variability of the sample.

methodsThe Smoker-to-Smoker (S2S) study is a 6-month hybrid effectiveness dissemination trial conducted nationally among English-speaking, current smokers aged ≥18 years. All eligible participants will register for the DISC (Decide2quit) and be randomized to the recommender system CTHC or the standard CTHC, followed by allocation to a peer recruitment toolset group or control group. Primary outcomes will be 7-day point prevalence and risk reduction at the 6-month follow-up. Secondary outcomes include recruitment rate, website engagement, and patient-reported outcomes collected via the 6-month follow-up questionnaire. All primary analyses will be conducted on an intent-to-treat basis.

resultsThe project is funded from 2017 to 2020 by the Patient Centered Outcomes Research Institute. Enrollment was completed in early 2019, and 6-month follow-ups will be completed by late 2019. Preliminary data analysis is currently underway.

conclusionsConducting a hybrid study with both effectiveness and dissemination hypotheses raises some unique challenges in the study design and analysis. Our study addresses these challenges to test new innovations and increase the effectiveness and reach of DISCs. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/14814.

Indexed as

digital Interventionpeer recruitmentsmoking cessationtailored, dissemination

Identifiers

PMID31339104
PMCPMC6683651

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.