Evidence map›Paper›PMID 25638283›Full record

Trial reportAddiction science & clinical practice2015

A pre-post pilot study of a brief, web-based intervention to engage disadvantaged smokers into cessation treatment.

Mary F Brunette, William Gunn, Hilary Alvarez, Patricia C Finn, Pamela Geiger, Joelle C Ferron, Gregory J McHugo

Abstract readClinical Trial
In one paragraph

Trial report in Addiction science & clinical practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

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

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

  1. Pooled it
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  9. Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2019
    Article
  10. Spillover Effect of Evidence-Based Postoperative Opioid Prescribing.Journal of the American College of Surgeons · 2018
    Article
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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

7 authors.

Mary F BrunetteGeisel School of Medicine at Dartmouth, Department of Psychiatry, Psychiatric Research Center, 105 Pleasant St, Concord, NH, 03301, USA. Mary.f.brunette@dartmouth.edu.
William GunnGeisel School of Medicine at Dartmouth, Department of Psychiatry, Psychiatric Research Center, 105 Pleasant St, Concord, NH, 03301, USA. wgunn@crhc.org.
Hilary AlvarezConcord Hospital Family Health Center, Concord, USA. halvarez@crhc.org.
Patricia C FinnConcord Hospital Family Health Center, Concord, USA. pfinn@crhc.org.
Pamela GeigerGeisel School of Medicine at Dartmouth, Department of Psychiatry, Psychiatric Research Center, 105 Pleasant St, Concord, NH, 03301, USA. pgeiger@dartmouth.edu.
Joelle C FerronGeisel School of Medicine at Dartmouth, Department of Psychiatry, Psychiatric Research Center, 105 Pleasant St, Concord, NH, 03301, USA. joelle.ferron@dartmouth.edu.
Gregory J McHugoGeisel School of Medicine at Dartmouth, Department of Psychiatry, Psychiatric Research Center, 105 Pleasant St, Concord, NH, 03301, USA. gregory.mchugo@dartmouth.edu.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
NCI NIH HHS P30 CA023108NIDA NIH HHS P30 DA029926
6 · The paper itself

Abstract

backgroundPeople with low education and/or income are more likely to smoke, less likely to quit, and experience disparately poor health outcomes compared to those with education and income advantage. Cost-effective strategies are needed to inform and engage this group into effective cessation treatments. We developed a novel, web-based, motivational, decision-support system that was designed to engage disadvantaged smokers into tobacco cessation treatment. We piloted the system among smokers in a primary care safety net clinic.

methodsThirty-nine eligible subjects were assessed at baseline and used the decision-support system; 38 were assessed 2 months later. Chi-square or Fisher's exact tests were used to assess whether participants who used the program were more likely to use cessation treatment than a randomly selected group of 60 clinic patients.

resultsThirty-nine percent of smokers initiated cessation treatment after using the decision-support system, compared to 3 percent of the comparison group (Fisher's exact = 21.2; p = 0.000). Over 10 percent achieved continuous abstinence over the 2-month follow-up. Users were satisfied with the program - 100 percent stated they would recommend it to a friend.

conclusionsOur data indicate that this web-based, motivational, decision-support system is feasible, satisfactory, and promising in its ability to engage smokers into cessation treatment in a primary care safety net clinic. Further evaluation research is warranted.

Indexed as

Decision Support TechniquesInternetPovertyAdultChronic DiseaseCounselingFemaleHumansMaleMental DisordersMiddle AgedMotivationPatient SatisfactionPilot ProjectsSafety-net ProvidersSmoking Cessation

Identifiers

PMID25638283
PMCPMC4410579

What OpenQuestion holds

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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.