
doi: 10.1136/bmj.f7535
pmid: 24423971
#### Summary points Despite the decrease in prevalence of tobacco use in developed countries, smoking remains the most common preventable cause of disease and death in the world today. Advice on smoking cessation from doctors and other health professionals has been shown to improve quit rates and is highly cost effective.1 Given the importance to health of tobacco use and the benefits of cessation, every doctor should encourage attempts to stop, be able to provide brief smoking cessation intervention, and be aware of referral options (see box 1). Over the past decade there have been advances in the science and practice of smoking cessation support. These include new medicines to treat nicotine dependence, new ways of using existing medicines, and increasing use of technology to support behavioural change. This review provides an update on evidence based approaches to maximise the effectiveness of the treatment of tobacco dependence. #### Sources and selection criteria This review is based on evidence synthesis from relevant Cochrane systematic reviews; review and distillation of clinical practice guidelines from Australia, the United States, and New Zealand; information from UK National Centre for Smoking Cessation and Training (www.ncsct.co.uk); and other evidence from the authors’ personal libraries. We have focused on developments since the review by Aveyard and West in 2007.2 The prevalence of tobacco use varies around the world. Of …
Evidence-Based Medicine, Cognitive Behavioral Therapy, Humans, Smoking Cessation, Tobacco Use Disorder, Global Health, Tobacco Use Cessation Devices
Evidence-Based Medicine, Cognitive Behavioral Therapy, Humans, Smoking Cessation, Tobacco Use Disorder, Global Health, Tobacco Use Cessation Devices
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 75 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
