Division of General Internal Medicine, University of California, San Francisco, San Francisco, California, USA.
Epidemiology, University of California, Berkeley, Berkeley, California, USA.
Cochrane Database Syst Rev. 2020 Dec 3;12(12):CD013413. doi: 10.1002/14651858.CD013413.pub2.
Populations experiencing homelessness have high rates of tobacco use and experience substantial barriers to cessation. Tobacco-caused conditions are among the leading causes of morbidity and mortality among people experiencing homelessness, highlighting an urgent need for interventions to reduce the burden of tobacco use in this population.
To assess whether interventions designed to improve access to tobacco cessation interventions for adults experiencing homelessness lead to increased numbers engaging in or receiving treatment, and whether interventions designed to help adults experiencing homelessness to quit tobacco lead to increased tobacco abstinence. To also assess whether tobacco cessation interventions for adults experiencing homelessness affect substance use and mental health.
We searched the Cochrane Tobacco Addiction Group Specialized Register, MEDLINE, Embase and PsycINFO for studies using the terms: un-housed*, homeless*, housing instability, smoking cessation, tobacco use disorder, smokeless tobacco. We also searched trial registries to identify unpublished studies. Date of the most recent search: 06 January 2020.
We included randomized controlled trials that recruited people experiencing homelessness who used tobacco, and investigated interventions focused on the following: 1) improving access to relevant support services; 2) increasing motivation to quit tobacco use; 3) helping people to achieve abstinence, including but not limited to behavioral support, tobacco cessation pharmacotherapies, contingency management, and text- or app-based interventions; or 4) encouraging transitions to long-term nicotine use that did not involve tobacco. Eligible comparators included no intervention, usual care (as defined by the studies), or another form of active intervention.
We followed standard Cochrane methods. Tobacco cessation was measured at the longest time point for each study, on an intention-to-treat basis, using the most rigorous definition available. We calculated risk ratios (RRs) and 95% confidence intervals (CIs) for smoking cessation for each study where possible. We grouped eligible studies according to the type of comparison (contingent reinforcement in addition to usual smoking cessation care; more versus less intensive smoking cessation interventions; and multi-issue support versus smoking cessation support only), and carried out meta-analyses where appropriate, using a Mantel-Haenszel random-effects model. We also extracted data on quit attempts, effects on mental and substance-use severity, and meta-analyzed these outcomes where sufficient data were available.
We identified 10 studies involving 1634 participants who smoked combustible tobacco at enrolment. One of the studies was ongoing. Most of the trials included participants who were recruited from community-based sites such as shelters, and three included participants who were recruited from clinics. We judged three studies to be at high risk of bias in one or more domains. We identified low-certainty evidence, limited by imprecision, that contingent reinforcement (rewards for successful smoking cessation) plus usual smoking cessation care was not more effective than usual care alone in promoting abstinence (RR 0.67, 95% CI 0.16 to 2.77; 1 trial, 70 participants). We identified very low-certainty evidence, limited by risk of bias and imprecision, that more intensive behavioral smoking cessation support was more effective than brief intervention in promoting abstinence at six-month follow-up (RR 1.64, 95% CI 1.01 to 2.69; 3 trials, 657 participants; I = 0%). There was low-certainty evidence, limited by bias and imprecision, that multi-issue support (cessation support that also encompassed help to deal with other challenges or addictions) was not superior to targeted smoking cessation support in promoting abstinence (RR 0.95, 95% CI 0.35 to 2.61; 2 trials, 146 participants; I = 25%). More data on these types of interventions are likely to change our interpretation of these data. Single studies that examined the effects of text-messaging support, e-cigarettes, or cognitive behavioral therapy for smoking cessation provided inconclusive results. Data on secondary outcomes, including mental health and substance use severity, were too sparse to draw any meaningful conclusions on whether there were clinically-relevant differences. We did not identify any studies that explicitly assessed interventions to increase access to tobacco cessation care; we were therefore unable to assess our secondary outcome 'number of participants receiving treatment'.
AUTHORS' CONCLUSIONS: There is insufficient evidence to assess the effects of any tobacco cessation interventions specifically in people experiencing homelessness. Although there was some evidence to suggest a modest benefit of more intensive behavioral smoking cessation interventions when compared to less intensive interventions, our certainty in this evidence was very low, meaning that further research could either strengthen or weaken this effect. There is insufficient evidence to assess whether the provision of tobacco cessation support and its effects on quit attempts has any effect on the mental health or other substance-use outcomes of people experiencing homelessness. Although there is no reason to believe that standard tobacco cessation treatments work any differently in people experiencing homelessness than in the general population, these findings highlight a need for high-quality studies that address additional ways to engage and support people experiencing homelessness, in the context of the daily challenges they face. These studies should have adequate power and put effort into retaining participants for long-term follow-up of at least six months. Studies should also explore interventions that increase access to cessation services, and address the social and environmental influences of tobacco use among people experiencing homelessness. Finally, studies should explore the impact of tobacco cessation on mental health and substance-use outcomes.
无家可归者人群的吸烟率很高,且他们戒烟面临着重重阻碍。吸烟导致的疾病是无家可归者人群发病率和死亡率的主要原因之一,这突显了迫切需要干预措施来减少这一人群的吸烟负担。
评估旨在增加无家可归成年人获得戒烟干预机会的干预措施是否会导致更多人参与或接受治疗,以及旨在帮助无家可归成年人戒烟的干预措施是否会导致更多人戒烟。还评估了针对无家可归成年人的戒烟干预措施是否会影响物质使用和心理健康。
我们检索了 Cochrane 烟草成瘾组专业注册库、MEDLINE、Embase 和 PsycINFO,使用的术语包括:无住房、无家可归、住房不稳定、戒烟、烟草使用障碍、无烟烟草。我们还检索了试验注册库,以确定未发表的研究。检索日期为 2020 年 1 月 6 日。
我们纳入了招募使用烟草的无家可归者人群的随机对照试验,且研究的干预措施重点关注以下方面:1)改善获得相关支持服务的机会;2)提高戒烟动机;3)帮助人们实现戒烟,包括但不限于行为支持、烟草戒断药理学治疗、条件强化和基于文本或应用的干预;或 4)鼓励过渡到不涉及烟草的长期尼古丁使用。合格的对照包括不干预、(由研究定义的)常规护理或另一种形式的主动干预。
我们遵循了标准的 Cochrane 方法。根据每个研究最长的随访时间点,以意向性治疗为基础,使用最严格的可用定义来衡量戒烟情况。在可能的情况下,我们计算了每一项研究的吸烟率,计算了每个研究的戒烟率,使用了风险比(RR)和 95%置信区间(CI)。我们根据比较类型(除了常规戒烟护理之外的条件强化;更强化与更弱强化的干预;以及多问题支持与戒烟支持)对合格研究进行分组,并在适当的情况下进行了荟萃分析,使用了 Mantel-Haenszel 随机效应模型。我们还提取了关于戒烟尝试、心理健康和物质使用严重程度的效果数据,并在有足够数据的情况下进行了荟萃分析。
我们确定了 10 项涉及 1634 名参与者的研究,这些参与者在入组时都吸烟。其中一项研究正在进行中。大多数试验都包括从社区场所(如收容所)招募的参与者,三项试验包括从诊所招募的参与者。我们判断三项研究在一个或多个领域存在高偏倚风险。我们发现,由于精度有限,低确定性证据表明,条件强化(戒烟成功的奖励)加常规戒烟护理并不比常规护理更能促进戒烟(RR 0.67,95%CI 0.16 至 2.77;1 项试验,70 名参与者)。我们发现,由于存在偏倚和精度限制,更强化的行为戒烟支持比简短干预在六个月随访时更有效地促进戒烟(RR 1.64,95%CI 1.01 至 2.69;3 项试验,657 名参与者;I = 0%),存在极低确定性证据。由于存在偏倚和精度限制,有限的证据表明,多问题支持(包括解决其他挑战或成瘾问题的帮助在内的戒烟支持)并不优于针对戒烟的支持(RR 0.95,95%CI 0.35 至 2.61;2 项试验,146 名参与者;I = 25%)。关于这些类型的干预措施的数据更多,可能会改变我们对这些数据的解释。单独研究电子香烟或认知行为疗法对戒烟的影响提供的结果不一致。关于心理健康和物质使用严重程度等次要结果的数据过于稀疏,无法得出任何有意义的结论,即是否存在有临床意义的差异。我们没有发现任何专门评估增加获得烟草戒断护理机会的干预措施的研究;因此,我们无法评估我们的次要结果“接受治疗的参与者人数”。
没有足够的证据评估专门针对无家可归者的任何戒烟干预措施的效果。虽然有一些证据表明,与较弱的干预措施相比,更强化的行为戒烟干预措施可能会带来适度的益处,但我们对这一证据的确定性非常低,这意味着进一步的研究可能会加强或削弱这一效果。没有足够的证据评估提供戒烟支持及其对戒烟尝试的影响是否会对无家可归者的心理健康或其他物质使用结果产生任何影响。尽管没有理由认为标准的戒烟治疗在无家可归者中的效果与一般人群不同,但这些发现强调了需要高质量的研究,以解决在无家可归者面临的日常挑战的背景下,吸引和支持他们的额外方法。这些研究应该有足够的效力,并努力留住参与者进行至少六个月的长期随访。研究还应探讨增加戒烟服务机会的干预措施,并解决无家可归者吸烟的社会和环境影响。最后,研究应探讨戒烟对心理健康和物质使用结果的影响。