Cited by 13Smoking Behavior and CessationSubstance Abuse Treatment and OutcomesChronic Obstructive Pulmonary Disease (COPD) Research

Treatment Outcomes From a Specialist Model for Treating Tobacco Use Disorder in a Medical Center

Open access
Burke, Michael V., Ebbert, Jon O., Schroeder, Darrell R., McFadden, David D., Hays, J. Taylor·2015·Medicine

Abstract

Cigarette smoking causes premature mortality and multiple morbidity; stop smoking improves health. Higher rates of smoking cessation can be achieved through more intensive treatment, consisting of medication and extended counseling of patients, but there are challenges to integrating these interventions into healthcare delivery systems. A care model using a master-level counselor trained as a tobacco treatment specialist (TTS) to deliver behavioral intervention, teamed with a supervising physician/prescriber, affords an opportunity to integrate more intensive tobacco dependence treatment into hospitals, clinics, and other medical systems. This article analyzes treatment outcomes and predictors of abstinence for cigarette smokers being treated using the TTS-physician team in a large outpatient clinic over a 7-year period.This is an observational study of a large cohort of cigarette smokers treated for tobacco dependence at a medical center. Patients referred by the primary healthcare team for a TTS consult received a standard assessment and personalized treatment planning guided by a workbook. Medication and behavioral plans were developed collaboratively with each patient. Six months after the initial assessment, a telephone call was made to ascertain a 7-day period of self-reported abstinence. The univariate association of each baseline patient characteristic with self-reported tobacco abstinence at 6 months was evaluated using the chi-squared test. In addition, a multiple logistic regression analysis was performed with self-reported tobacco abstinence as the dependent variable and all baseline characteristics included as explanatory variables.Over a period of 7 years (2005-2011), 6824 cigarette smokers who provided general research authorization were seen for treatment. The 6-month self-reported abstinence rate was 28.1% (95% confidence interval: 27.7-30.1). The patients most likely to report abstinence were less dependent, more motivated to quit, and did not have a past year diagnosis of depression or alcoholism.Predictable patient characteristics such as level of dependence did predict abstinence, but all patient groups achieved comparable abstinence outcomes. While this study has limitations inherent in a single-center retrospective cohort study, it does suggest that the TTS model is an effective way to integrate more intensive tobacco dependence treatment into outpatient settings.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/md.0000000000001903

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The clinic's 1-year abstinence rate (38%) is higher than that of UK stop smoking services (~8%) and the Mayo clinic (28% at 6 months).

    “These are very high success rates compared for example with around 8% achieved in UK stop smoking services [25] (which also deliver a combination of behavioural support and pharmacotherapy, albeit usually restricted to a shorter period of time ) and compared with the Mayo clinic which uses a similar treatment model and reported 28% self-reported abstinence at 6 months [26].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [25]McAfee T Babb S McNabb S Helping smokers quit—opportunities created by the Affordable Care Act. N Engl J Med 2015; 372: 5– 7. 25409263 PMC4465216

Cited by

Sorted by citations

Authors
Burke, M. V., Ebbert, J. O., Schroeder, D. R., McFadden, D. D., & Hays, J. T.
Affiliations
Mayo Clinic (US)
Corresponding author
Burke, Michael V.
Venue
Medicine
Published
2015-11
Volume
94
Issue
44
Pages
e1903
ISSN
0025-7974 (ISSN-L)
OpenAlex
W2329939972
Cited by
13
References
33
Citations by year
2024: 1 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 1
FWCI
1.23
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Medicine (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
Keywords
tobacco use disorder, smoking cessation, tobacco dependence treatment, behavioral interventions, medication-assisted treatment, predictors of abstinence, motivation to quit, depression, alcoholism, outpatient clinics
MeSH terms
Adolescent, Adult, Aged, Ambulatory Care, Female, Follow-Up Studies, Humans, Male, Middle Aged, Retrospective Studies, Tobacco Use Disorder, Smoking Cessation, Treatment Outcome, Young Adult, Tobacco Use Cessation Devices

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review