Evidence map›Paper›PMID 32532233›Full record

ReviewBMC public health2020

Identifying contexts and mechanisms in multiple behavior change interventions affecting smoking cessation success: a rapid realist review.

Nadia Minian, Tricia Corrin, Mathangee Lingam, Wayne K deRuiter, Terri Rodak, Valerie H Taylor, Heather Manson, Rosa Dragonetti, Laurie Zawertailo, Osnat C Melamed and 2 more

Abstract readReview
In one paragraph

Review in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

12 authors.

Nadia MinianCentre for Addiction and Mental Health, 175 College St, Toronto, Ontario, M5T 1P7, Canada.
Tricia CorrinCentre for Addiction and Mental Health, 175 College St, Toronto, Ontario, M5T 1P7, Canada.
Mathangee LingamCentre for Addiction and Mental Health, 175 College St, Toronto, Ontario, M5T 1P7, Canada.
Wayne K deRuiterCentre for Addiction and Mental Health, 175 College St, Toronto, Ontario, M5T 1P7, Canada.
Terri RodakCentre for Addiction and Mental Health, 175 College St, Toronto, Ontario, M5T 1P7, Canada.
Valerie H TaylorDepartment of Psychiatry, University of Calgary, 1403 - 29 Street NW, Calgary, Alberta, T2N 2T9, Canada.
Heather MansonPublic Health Ontario, 480 University Avenue, Toronto, Ontario, M5G 1V2, Canada.
Rosa DragonettiCentre for Addiction and Mental Health, 175 College St, Toronto, Ontario, M5T 1P7, Canada.
Laurie ZawertailoCentre for Addiction and Mental Health, 175 College St, Toronto, Ontario, M5T 1P7, Canada.
Osnat C MelamedCentre for Addiction and Mental Health, 175 College St, Toronto, Ontario, M5T 1P7, Canada.
Margaret HahnCentre for Addiction and Mental Health, 175 College St, Toronto, Ontario, M5T 1P7, Canada.
Peter SelbyCentre for Addiction and Mental Health, 175 College St, Toronto, Ontario, M5T 1P7, Canada. peter.selby@camh.ca.ORCID http://orcid.org/0000-0001-5401-2996

Funding

Public Health Agency of Canada 1617-HQ-000045
6 · The paper itself

Abstract

backgroundSmoking continues to be a leading cause of preventable chronic disease-related morbidity and mortality, excess healthcare expenditure, and lost work productivity. Tobacco users are disproportionately more likely to be engaging in other modifiable risk behaviours such as excess alcohol consumption, physical inactivity, and poor diet. While hundreds of interventions addressing the clustering of smoking and other modifiable risk behaviours have been conducted worldwide, there is insufficient information available about the context and mechanisms in these interventions that promote successful smoking cessation. The aim of this rapid realist review was to identify possible contexts and mechanisms used in multiple health behaviour change interventions (targeting tobacco and two or more additional risk behaviours) that are associated with improving smoking cessation outcome.

methodsThis realist review method incorporated the following steps: (1) clarifying the scope, (2) searching for relevant evidence, (3) relevance confirmation, data extraction, and quality assessment, (4) data analysis and synthesis.

resultsOf the 20,423 articles screened, 138 articles were included in this realist review. Following Michie et al.'s behavior change model (the COM-B model), capability, opportunity, and motivation were used to identify the mechanisms of behaviour change. Universally, increasing opportunities (i.e. factors that lie outside the individual that prompt the behaviour or make it possible) for participants to engage in healthy behaviours was associated with smoking cessation success. However, increasing participant's capability or motivation to make a behaviour change was only successful within certain contexts.

conclusionIn order to address multiple health behaviours and assist individuals in quitting smoking, public health promotion interventions need to shift away from 'individualistic epidemiology' and invest resources into modifying factors that are external from the individual (i.e. creating a supportive environment).

trial registrationPROSPERO registration number: CRD42017064430.

Indexed as

Health BehaviorBehavior TherapyHumansSmokingSmoking CessationTreatment OutcomeCOM-BMultiple health behaviour interventionsRealist reviewSmoking cessation

Identifiers

PMID32532233
PMCPMC7291527

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.