Evidence map›Paper›PMID 28728038›Full record

ArticleAddictive behaviors2017

Predictors of smoking cessation group treatment engagement among veterans with serious mental illness.

Letitia E Travaglini, Lan Li, Clayton H Brown, Melanie E Bennett

Abstract read
In one paragraph

Article in Addictive behaviors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Letitia E TravagliniVA Capital Healthcare Network Mental Illness, Research, Education, and Clinical Center (MIRECC), Baltimore, MD 21201, United States; Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, United States. Electronic address: letitia.travaglini@va.gov.
Lan LiDepartment of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, United States. Electronic address: lanli@som.umaryland.edu.
Clayton H BrownVA Capital Healthcare Network Mental Illness, Research, Education, and Clinical Center (MIRECC), Baltimore, MD 21201, United States; Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD 21201, United States. Electronic address: clbrown@som.umaryland.edu.
Melanie E BennettVA Capital Healthcare Network Mental Illness, Research, Education, and Clinical Center (MIRECC), Baltimore, MD 21201, United States; Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, United States. Electronic address: mbennett@som.umaryland.edu.
Capital Health · USUniversity of Maryland, Baltimore · US

Funding

Randomized Trial of a Smoking Cessation Program for Persons with SMII01CX000135 · VA · BALTIMORE VA MEDICAL CENTER · PI DIXON, LISA B. · 2009 to 2013
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CSRD VA I01 CX000135
6 · The paper itself

Abstract

High prevalence rates of tobacco use, particularly cigarettes, pose a serious health threat for individuals with serious mental illness (SMI), and research has demonstrated the effectiveness of pharmacotherapy and psychosocial interventions to reduce tobacco use in this group. However, few studies have considered predictors of tobacco cessation treatment engagement among individuals with SMI. The current study examined predictors of engagement in smoking cessation groups among veterans with SMI engaged in mental health services at three VA medical centers. All veterans were participating in a smoking cessation treatment study. Of 178 veterans who completed baseline assessments, 127 (83.6%) engaged in treatment, defined as attending at least three group sessions. Forty-one (N=41) predictors across five domains (demographics, psychiatric concerns, medical concerns, smoking history, and self-efficacy to quit smoking) were identified based on previous research and clinical expertise. Using backward elimination to determine a final multivariable logistic regression model, three predictors were found to be significantly related to treatment engagement: marital status (never-married individuals more likely to engage); previous engagement in group smoking cessation services; and greater severity of positive symptoms on the Brief Psychiatric Rating Scale. When included in the multivariable logistic regression model, the full model discriminates between engagers and non-engagers reasonably well (c statistic=0.73). Major considerations based on these findings are: individuals with SMI appear to be interested in smoking cessation services; and serious psychiatric symptomatology should not discourage treatment providers from encouraging engagement in smoking cessation services.

Indexed as

Patient ParticipationVeteransBipolar DisorderComorbidityFemaleHumansMajor Depressive DisorderMaleMarital StatusMental DisordersMiddle AgedPsychotherapy, GroupPsychotic DisordersRandomized Controlled Trials as TopicSchizophreniaSmoking CessationSerious mental illnessSmoking cessationTreatment engagementVeterans

Identifiers

PMID28728038
PMCPMC5616105
OpenAlexW2735186390

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.