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.

NIHR open research Pub Date : 2023-10-20 eCollection Date: 2023-01-01 DOI:10.3310/nihropenres.13427.2
Emma S Hock, Matthew Franklin, Susan Baxter, Mark Clowes, James Chilcott, Duncan Gillespie
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Abstract

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).

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戒烟成功的协变量:对2008年至2021年的研究进行的系统回顾,该研究旨在为英国一家医院烟草依赖治疗服务的戒烟结果统计分析提供信息。
背景:在英国,戒烟干预措施正在被引入常规的二级护理,但有一些与个人和环境相关的因素可能会影响他们戒烟的成功。这篇综述是作为对QUIT医院烟草依赖治疗服务(https://sybics-quit.co.uk)。这项审查的目的是在英国联系二级医疗服务的吸烟者中确定一组与戒烟成功相关的综合变量,这些吸烟者得到了戒烟支持,并随后确定了戒烟日期。然后,这些结果将用于制定统计分析计划,以调查戒烟结果。方法:对五个电子数据库进行系统的文献综述。符合入选条件的研究调查了三种情况之一的戒烟成功率:(a)英国的普通人群;(b) 有心理健康状况的人;(c) 退出在二级护理环境中启动的尝试。结果测量是来自统计分析的参数,显示协变量对戒烟成功的影响具有统计学意义(即p值)。结果:该综述确定了29项相关研究和14项戒烟成功的协变量,我们将其分为四类:人口统计学(年龄;性别;种族;社会经济条件;关系状况、同居和社会网络)、个人健康状况和医疗环境(身体健康、心理健康)、吸烟变量(当前烟草消费、吸烟史、尼古丁依赖;戒烟动机;戒烟史),以及干预特征(戒烟前吸烟量的减少、行为支持的性质、烟草依赖治疗的持续时间、药物辅助),确定了14个数据字段,应考虑将其纳入数据集和统计分析计划,以评估在英国二级护理环境中启动的戒烟干预措施的戒烟结果。Prospero注册:CRD42021254551(2021年5月13日)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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