Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2020 Sep;115(9):1607-1617.
doi: 10.1111/add.14969. Epub 2020 Feb 11.

Variability and effectiveness of comparator group interventions in smoking cessation trials: a systematic review and meta-analysis

Affiliations
Meta-Analysis

Variability and effectiveness of comparator group interventions in smoking cessation trials: a systematic review and meta-analysis

Nicola Black et al. Addiction. 2020 Sep.

Abstract

Aims: To examine variability and effectiveness of interventions provided to comparator (control) groups in smoking cessation trials.

Methods: Systematic review with meta-analysis of randomized controlled trials (RCTs) of behavioral interventions for smoking cessation, with or without stop-smoking medication. We searched the Cochrane Tobacco Addiction Group Specialized Register for RCTs with objective outcomes measured at ≥ 6 months. Study authors were contacted to obtain comprehensive descriptions of their comparator interventions. Meta-regression analyses examined the relationships of smoking cessation rates with stop-smoking medication and behavior change techniques.

Results: One hundred and four of 142 eligible comparator groups (n = 23 706) had complete data and were included in analyses. There was considerable variability in the number of behavior change techniques delivered [mean = 15.97, standard deviation (SD) = 13.54, range = 0-45] and the provision of smoking cessation medication (43% of groups received medication) throughout and within categories of comparator groups (e.g. usual care, brief advice). Higher smoking cessation rates were predicted by provision of medication [B = 0.334, 95% confidence interval (CI) = 0.030-0.638, P = 0.031] and number of behavior change techniques included (B = 0.020, 95% CI = 0.008-0.032, P < 0.001). Modelled cessation rates in comparator groups that received the most intensive support were 15 percentage points higher than those that received the least (23 versus 8%).

Conclusions: Interventions delivered to comparator groups in smoking cessation randomized controlled trials vary considerably in content, and cessation rates are strongly predicted by stop-smoking medication and number of behavior change techniques delivered.

Keywords: Behavior change techniques; comparator group; control group; meta-analysis; meta-regression; smoking cessation; systematic review.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) flow diagram. BCTs = behavior change techniques
Figure 2
Figure 2
Predicted smoking cessation rates across the observed range of (a) total behavior change techniques (BCTs) and (b) personalized, person‐delivered BCTs. Dotted lines represent 95% confidence intervals. Estimated smoking cessation rates are computed at 6‐month follow‐up, non‐cotinine verified, point prevalence abstinence and mean levels of age and nicotine dependence. [Colour figure can be viewed at wileyonlinelibrary.com]

Similar articles

Cited by

References

    1. Goetzel R. Z., Anderson D. R., Whitmer R. W., Ozminkowski R. J., Dunn R. L., Wasserman J. et al The relationship between modifiable health risks and health care expenditures: an analysis of the multi‐employer HERO health risk and cost database. J Occup Environ Med 1998; 40: 843–854; Available at: ncbi.nlm.nih.gov/pubmed/9800168 (accessed: 29 January 2020). - PubMed
    1. Gakidou E., Afshin A., Abajobir A. A., Abate K. H., Abbafati C., Abbas K. M. et al Global, regional, and national comparative risk assessment of 84 behavioral, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the global burden of disease study 2016. Lancet 2017; 390: 1345–1422. - PMC - PubMed
    1. Lindson‐Hawley N., Thompson T. P., Begh R. Motivational interviewing for smoking cessation. Cochrane Database Syst Rev 2015; 3: CD006936. - PubMed
    1. Lancaster T., Stead L. F. Individual behavioral counselling for smoking cessation. Cochrane Database Syst Rev 2017; 3: CD001292. - PubMed
    1. Stead L. F., Carroll A. J., Lancaster T. Group behavior therapy programmes for smoking cessation. Cochrane Database Syst Rev 2017; 3: CD001007. - PubMed

Publication types

MeSH terms

Substances