Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK.
Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK.
Lancet Public Health. 2019 Dec;4(12):e628-e644. doi: 10.1016/S2468-2667(19)30220-8.
Socioeconomic inequalities in smoking cessation have led to development of interventions that are specifically tailored for smokers from disadvantaged groups. We aimed to assess whether the effectiveness of interventions for disadvantaged groups is moderated by tailoring for socioeconomic position.
For this systematic review and meta-regression, we searched MEDLINE, PsycINFO, Embase, Cochrane Central Register, and Tobacco Addiction Register of Clinical Trials and the IC-SMOKE database from their inception until Aug 18, 2019, for randomised controlled trials of socioeconomic-position-tailored or non-socioeconomic-position-tailored individual-level behavioural interventions for smoking cessation at 6 months or longer of follow-up in disadvantaged groups. Studies measured socioeconomic position via income, eligibility for government financial assistance, occupation, and housing. Studies were excluded if they were delivered at the community or population level, did not report differential effects by socioeconomic position, did not report smoking cessation outcomes from 6 months or longer after the start of the intervention, were delivered at a group level, or provided pharmacotherapy with standard behavioural support compared with behavioural support alone. Individual patient-level data were extracted from published reports and from contacting study authors. Random-effects meta-analyses and mixed-effects meta-regression analyses were done to assess associations between tailoring of the intervention and effectiveness. Meta-analysis outcomes were summarised as risk ratios (RR). Certainty of evidence was assessed within each study using the Cochrane risk-of-bias tool version 2 and the grading of recommendations assessment, development, and evaluation approach. The study is registered with PROSPERO, CRD42018103008.
Of 2376 studies identified by our literature search, 348 full-text articles were retrieved and screened for eligibility. Of these, 42 studies (26 168 participants) were included in the systematic review. 30 (71%) of 42 studies were done in the USA, three (7%) were done in the UK, two (5%) each in the Netherlands and Australia, and one (2%) each in Switzerland, Sweden, Turkey, India, and China. 26 (62%) of 42 studies were trials of socioeconomic-position-tailored interventions and 16 (38%) were non-socioeconomic-position-tailored interventions. 17 (65%) of 26 socioeconomic-position-tailored interventions were in-person or telephone-delivered behavioural interventions, four (15%) were digital interventions, three (12%) involved financial incentives, and two (8%) were brief interventions. Individuals who participated in an intervention, irrespective of tailoring, were significantly more likely to quit smoking than were control participants (RR 1·56, 95% CI 1·39-1·75; I=54·5%). Socioeconomic-position-tailored interventions did not yield better outcomes compared with non-socioeconomic-position-tailored interventions for disadvantaged groups (adjusted RR 1·01, 95% CI 0·81-1·27; β=0·011, SE=0·11; p=0·93). We observed similar effect sizes in separate meta-analyses of non-socioeconomic-position-tailored interventions using trial data from participants with high socioeconomic position (RR 2·00, 95% CI 1·36-2·93; I=82·7%) and participants with low socioeconomic position (1·94, 1·31-2·86; I=76·6%), although certainty of evidence from these studies was graded as low.
We found evidence that individual-level interventions can assist disadvantaged smokers with quitting, but there were no large moderating effects of tailoring for disadvantaged smokers. Improvements in tailored intervention development might be necessary to achieve equity-positive smoking cessation outcomes.
Cancer Research UK.
吸烟戒断方面的社会经济不平等导致了专门为弱势群体吸烟者量身定制的干预措施的发展。我们旨在评估针对弱势群体的干预措施的有效性是否受到社会经济地位调整的调节。
在这项系统评价和荟萃回归中,我们从建立到 2019 年 8 月 18 日,在 MEDLINE、PsycINFO、Embase、Cochrane 中心注册中心、临床试验烟草成瘾登记册和 IC-SMOKE 数据库中搜索了社会经济地位量身定制或非社会经济地位量身定制的个体行为干预措施的随机对照试验,这些干预措施针对的是在随访 6 个月或更长时间内的弱势群体中吸烟的戒烟效果。研究通过收入、政府财政援助资格、职业和住房来衡量社会经济地位。如果研究是在社区或人群层面进行的,如果没有报告社会经济地位的差异效果,如果没有报告从干预开始后 6 个月或更长时间的戒烟结果,如果是在群体层面进行的,或者如果提供了与标准行为支持相比的药物治疗与行为支持,那么研究将被排除在外。从已发表的报告和联系研究作者中提取了个体患者水平的数据。采用随机效应荟萃分析和混合效应荟萃回归分析来评估干预措施的调整与效果之间的关联。汇总了meta 分析结果作为风险比(RR)。使用 Cochrane 风险偏倚工具版本 2 和推荐评估、制定和评价方法(GRADE)评估每个研究中的证据确定性。该研究在 PROSPERO 上注册,注册号为 CRD42018103008。
通过我们的文献搜索,共确定了 2376 项研究,对 348 篇全文文章进行了筛选,以确定其是否符合纳入标准。其中,42 项研究(26168 名参与者)被纳入系统评价。42 项研究中有 30 项(71%)在美国进行,3 项(7%)在英国进行,2 项(5%)在荷兰和澳大利亚进行,1 项(2%)在瑞士、瑞典、土耳其、印度和中国进行。26 项(62%)研究为社会经济地位调整干预措施,16 项(38%)为非社会经济地位调整干预措施。26 项社会经济地位调整干预措施中有 17 项(65%)是基于个人或电话的行为干预措施,4 项(15%)是数字干预措施,3 项(12%)涉及经济奖励,2 项(8%)是简短干预措施。无论是否进行了调整,参与干预的个体戒烟的可能性都明显高于对照组(RR 1.56,95%CI 1.39-1.75;I=54.5%)。与非社会经济地位调整干预措施相比,社会经济地位调整干预措施并没有为弱势群体带来更好的结果(调整 RR 1.01,95%CI 0.81-1.27;β=0.011,SE=0.11;p=0.93)。我们在使用高社会经济地位(RR 2.00,95%CI 1.36-2.93;I=82.7%)和低社会经济地位(1.94,1.31-2.86;I=76.6%)参与者的试验数据进行的单独非社会经济地位调整干预措施的荟萃分析中观察到了相似的效果大小,但这些研究的证据确定性被评为低。
我们有证据表明,个体水平的干预措施可以帮助弱势吸烟者戒烟,但针对弱势吸烟者的调整并没有很大的调节作用。可能需要改进针对弱势吸烟者的干预措施的开发,以实现积极的戒烟结果。
英国癌症研究中心。