Covariates of success in quitting smoking: a systematic review of studies from 2008 to 2021 conducted to inform the statistical analyses of quitting outcomes of a hospital-based tobacco dependence treatment service in the United Kingdom.

Background

Smoking cessation interventions are being introduced into routine secondary care in the United Kingdom (UK), but there are person and setting-related factors that could moderate their success in quitting smoking. This review was conducted as part of an evaluation of the QUIT hospital-based tobacco dependence treatment service ( https://sybics-quit.co.uk). The aim of the review was to identify a comprehensive set of variables associated with quitting success among tobacco smokers contacting secondary healthcare services in the UK who are offered support to quit smoking and subsequently set a quit date. The results would then be used to inform the development of a statistical analysis plan to investigate quitting outcomes.

Methods

Systematic literature review of five electronic databases. Studies eligible for inclusion investigated quitting success in one of three contexts: (a) the general population in the UK; (b) people with a mental health condition; (c) quit attempts initiated within a secondary care setting. The outcome measures were parameters from statistical analysis showing the effects of covariates on quitting success with a statistically significant (i.e., p-value <0.05) association.

Results

The review identified 29 relevant studies and 14 covariates of quitting success, which we grouped into four categories: demographics (age; sex; ethnicity; socio-economic conditions; relationship status, cohabitation and social network), individual health status and healthcare setting (physical health, mental health), tobacco smoking variables (current tobacco consumption, smoking history, nicotine dependence; motivation to quit; quitting history), and intervention characteristics (reduction in amount smoked prior to quitting, the nature of behavioural support, tobacco dependence treatment duration, pharmacological aids).

Conclusions

In total, 14 data fields were identified that should be considered for inclusion in datasets and statistical analysis plans for evaluating the quitting outcomes of smoking cessation interventions initiated in secondary care contexts in the UK.

PROSPERO registration

CRD42021254551 (13/05/2021).

Stop smoking interventions are being incorporated as a systematic and opt-out component of secondary care services in the UK’s National Health Service (NHS), driven by the NHS’s Long Term Plan. This review was conducted as part of an evaluation of the QUIT hospital-based tobacco dependence treatment service ( https://sybics-quit.co.uk). To support the development of statistical analyses to find out what affects smokers’ success in quitting smoking after contacting the service, research was needed to identify what characteristics of the individual smokers and the healthcare setting might be important for success in quitting. The main purpose of the review was to support the development of a statistical analysis plan of quitting outcomes. We looked at academic papers published between 2008 and 2021 that estimated the influence of different factors on success in quitting smoking. The results of the review summarise the list of factors that previous studies have found to have an influence on quitting outcomes. The list of factors was used to inform discussions with the service about what data fields it would be important for the service to collect because that data could be important for helping the service to understand variation in quitting outcomes.

Informations de copyright

Copyright: © 2023 Hock ES et al.

Déclaration de conflit d'intérêts

No competing interests were disclosed.