Evidence map›Paper›PMID 30316305›Full record

Trial reportPreventing chronic disease2018

A Novel Decision Aid to Encourage Smoking Cessation Among Patients at an Urban Safety Net Clinic.

Sumit D Agarwal, Matthew Kerwin, Jacob Meindertsma, Andrew M D Wolf

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Preventing chronic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Strategies to improve smoking cessation rates in primary care.The Cochrane database of systematic reviews · 2021
    Pooled it
  2. Article
  3. 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

4 authors.

Sumit D AgarwalDivision of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital; Harvard Medical School; Boston, Massachusetts.
Matthew KerwinDepartment of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia.
Jacob MeindertsmaDepartment of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia.
Andrew M D WolfDivision of General, Geriatric, Palliative & Hospital Medicine, Department of Medicine University of Virginia School of Medicine, Charlottesville, Virginia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDecision aids are not readily available to individualize the benefits of smoking cessation but could help health care providers engage in meaningful conversations with their patients to explore and encourage an attempt to quit smoking. We conducted a pilot study of a novel decision aid among an underserved population to assess its effectiveness in increasing readiness to quit and quit attempts.

methodsWe designed a decision aid that used images of birthday cakes to highlight the number of years of life that could be gained from smoking cessation and tested it in an urban safety net clinic. Active adult smokers were randomized to receive smoking cessation counseling, either with motivational interviewing techniques alone (control) or with motivational interviewing and the decision aid (intervention). The primary outcome assessed was readiness to quit, measured by using a previously validated contemplation ladder. The secondary outcome assessed was making a quit attempt.

resultsImmediately following the interview, 21.1% of patients rose on the readiness-to-quit ladder; at 1 month, 40.6%; and at 3 months, 46.6%. We saw no significant difference between the control and intervention groups immediately after the interview (P = .79), at 1 month (P = .92), or at 3 months (P = .79). Over the 3-month follow-up period, 25% of patients in the control group made a quit attempt, and 15.4% of patients in the intervention group made a quit attempt (P = .30). Patients found the decision aid useful and easy to understand.

conclusionPatients from an underserved population were highly receptive to a visual and personalized decision aid that highlighted the positive impact of smoking cessation. However, we found no difference in readiness to quit between patients who received motivational interviewing with the decision aid or without it.

Indexed as

Decision Support TechniquesPrimary Health CareSafety-net ProvidersAdultFemaleHumansMaleMiddle AgedMotivational InterviewingPilot ProjectsSmokersSmoking CessationUrban PopulationVirginia

Identifiers

PMID30316305
PMCPMC6198679

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Registered trials

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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.