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用于戒烟的动机性访谈。

Motivational interviewing for smoking cessation.

作者信息

Lindson Nicola, Thompson Tom P, Ferrey Anne, Lambert Jeffrey D, Aveyard Paul

机构信息

Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, Oxfordshire, UK, OX2 6GG.

出版信息

Cochrane Database Syst Rev. 2019 Jul 31;7(7):CD006936. doi: 10.1002/14651858.CD006936.pub4.

Abstract

BACKGROUND

Motivational Interviewing (MI) is a directive patient-centred style of counselling, designed to help people to explore and resolve ambivalence about behaviour change. It was developed as a treatment for alcohol abuse, but may help people to a make a successful attempt to stop smoking.

OBJECTIVES

To evaluate the efficacy of MI for smoking cessation compared with no treatment, in addition to another form of smoking cessation treatment, and compared with other types of smoking cessation treatment. We also investigated whether more intensive MI is more effective than less intensive MI for smoking cessation.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register for studies using the term motivat* NEAR2 (interview* OR enhanc* OR session* OR counsel* OR practi* OR behav*) in the title or abstract, or motivation* as a keyword. We also searched trial registries to identify unpublished studies. Date of the most recent search: August 2018.

SELECTION CRITERIA

Randomised controlled trials in which MI or its variants were offered to smokers to assist smoking cessation. We excluded trials that did not assess cessation as an outcome, with follow-up less than six months, and with additional non-MI intervention components not matched between arms. We excluded trials in pregnant women as these are covered elsewhere.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods. Smoking cessation was measured after at least six months, using the most rigorous definition available, on an intention-to-treat basis. We calculated risk ratios (RR) and 95% confidence intervals (CI) for smoking cessation for each study, where possible. We grouped eligible studies according to the type of comparison. We carried out meta-analyses where appropriate, using Mantel-Haenszel random-effects models. We extracted data on mental health outcomes and quality of life and summarised these narratively.

MAIN RESULTS

We identified 37 eligible studies involving over 15,000 participants who smoked tobacco. The majority of studies recruited participants with particular characteristics, often from groups of people who are less likely to seek support to stop smoking than the general population. Although a few studies recruited participants who intended to stop smoking soon or had no intentions to quit, most recruited a population without regard to their intention to quit. MI was conducted in one to 12 sessions, with the total duration of MI ranging from five to 315 minutes across studies. We judged four of the 37 studies to be at low risk of bias, and 11 to be at high risk, but restricting the analysis only to those studies at low or unclear risk did not significantly alter results, apart from in one case - our analysis comparing higher to lower intensity MI.We found low-certainty evidence, limited by risk of bias and imprecision, comparing the effect of MI to no treatment for smoking cessation (RR = 0.84, 95% CI 0.63 to 1.12; I = 0%; adjusted N = 684). One study was excluded from this analysis as the participants recruited (incarcerated men) were not comparable to the other participants included in the analysis, resulting in substantial statistical heterogeneity when all studies were pooled (I = 87%). Enhancing existing smoking cessation support with additional MI, compared with existing support alone, gave an RR of 1.07 (95% CI 0.85 to 1.36; adjusted N = 4167; I = 47%), and MI compared with other forms of smoking cessation support gave an RR of 1.24 (95% CI 0.91 to 1.69; I = 54%; N = 5192). We judged both of these estimates to be of low certainty due to heterogeneity and imprecision. Low-certainty evidence detected a benefit of higher intensity MI when compared with lower intensity MI (RR 1.23, 95% CI 1.11 to 1.37; adjusted N = 5620; I = 0%). The evidence was limited because three of the five studies in this comparison were at risk of bias. Excluding them gave an RR of 1.00 (95% CI 0.65 to 1.54; I = n/a; N = 482), changing the interpretation of the results.Mental health and quality of life outcomes were reported in only one study, providing little evidence on whether MI improves mental well-being.

AUTHORS' CONCLUSIONS: There is insufficient evidence to show whether or not MI helps people to stop smoking compared with no intervention, as an addition to other types of behavioural support for smoking cessation, or compared with other types of behavioural support for smoking cessation. It is also unclear whether more intensive MI is more effective than less intensive MI. All estimates of treatment effect were of low certainty because of concerns about bias in the trials, imprecision and inconsistency. Consequently, future trials are likely to change these conclusions. There is almost no evidence on whether MI for smoking cessation improves mental well-being.

摘要

背景

动机性访谈(MI)是一种以患者为中心的指导性咨询方式,旨在帮助人们探索并解决行为改变方面的矛盾心理。它最初是作为一种治疗酒精滥用的方法而开发的,但可能有助于人们成功尝试戒烟。

目的

评估与不进行治疗相比,MI辅助戒烟的疗效,以及与其他形式的戒烟治疗相比的疗效。我们还研究了强化MI在戒烟方面是否比非强化MI更有效。

检索方法

我们在Cochrane烟草成瘾小组专业注册库中进行检索,查找标题或摘要中使用“motivat* NEAR2 (interview* OR enhanc* OR session* OR counsel* OR practi* OR behav*)”这一术语,或使用“motivation*”作为关键词的研究。我们还检索了试验注册库以识别未发表的研究。最近一次检索日期为2018年8月。

入选标准

将MI或其变体提供给吸烟者以辅助戒烟的随机对照试验。我们排除了未将戒烟作为一项结局进行评估、随访时间少于六个月、以及双臂之间未匹配额外非MI干预成分的试验。我们排除了孕妇相关的试验,因为这些试验在其他地方已有涵盖。

数据收集与分析

我们遵循Cochrane的标准方法。在至少六个月后,采用可获得的最严格定义,基于意向性分析来衡量戒烟情况。我们尽可能为每项研究计算戒烟的风险比(RR)和95%置信区间(CI)。我们根据比较类型对符合条件的研究进行分组。在适当情况下,使用Mantel-Haenszel随机效应模型进行荟萃分析。我们提取了心理健康结局和生活质量的数据,并进行了描述性总结。

主要结果

我们识别出37项符合条件的研究,涉及超过15000名吸烟参与者。大多数研究招募了具有特定特征的参与者,这些参与者通常来自比普通人群更不太可能寻求戒烟支持的群体。尽管有少数研究招募了打算不久后戒烟或无意戒烟的参与者,但大多数招募的人群并未考虑其戒烟意愿。MI进行了1至12次会话,各项研究中MI的总时长从5分钟到315分钟不等。我们判定37项研究中的4项偏倚风险较低,11项偏倚风险较高,但仅将分析限制在那些偏倚风险低或不明确的研究中,除了一个案例外,并未显著改变结果——我们比较高强度MI与低强度MI的分析。我们发现,将MI与不进行治疗对戒烟的效果进行比较时,证据确定性低,受偏倚风险和不精确性的限制(RR = 0.84,95% CI 0.63至1.12;I² = 0%;校正N = 684)。一项研究被排除在该分析之外,因为所招募的参与者(被监禁男性)与分析中纳入的其他参与者不可比,当所有研究合并时导致了显著的统计学异质性(I² = 87%)。与仅提供现有戒烟支持相比,额外增加MI来强化现有戒烟支持,RR为1.07(95% CI 0.85至1.36;校正N = 4167;I² = 47%),而MI与其他形式的戒烟支持相比,RR为1.24(95% CI 0.91至1.69;I² = 54%;N = 5192)。由于异质性和不精确性,我们判定这两个估计值的确定性均较低。低确定性证据表明,与低强度MI相比,高强度MI有获益(RR 1.23,95% CI 1.11至1.37;校正N = 5620;I² = 0%)。该证据有限,因为此比较中的五项研究中有三项存在偏倚风险。排除这些研究后RR为1.00(95% CI 0.65至1.54;I² = 无可用数据;N = 482),改变了结果的解读。仅有一项研究报告了心理健康和生活质量结局,几乎没有提供关于MI是否改善心理健康的证据。

作者结论

与不进行干预相比,作为其他类型戒烟行为支持的补充,或与其他类型的戒烟行为支持相比,没有足够证据表明MI是否有助于人们戒烟。强化MI是否比非强化MI更有效也不清楚。由于对试验中的偏倚、不精确性和不一致性的担忧,所有治疗效果估计的确定性均较低。因此,未来的试验可能会改变这些结论。几乎没有证据表明戒烟的MI是否能改善心理健康。

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