http://hdl.handle.net/1893/11512
Appears in Collections: | Faculty of Health Sciences and Sport Journal Articles |
Peer Review Status: | Refereed |
Title: | The effectiveness of NHS smoking cessation services: A systematic review |
Author(s): | Bauld, Linda Bell, Kirsten McCullough, Lucy Richardson, Lindsay Greaves, Lorraine |
Contact Email: | linda.bauld@stir.ac.uk |
Keywords: | Deprivation Gender NHS stop smoking services Smoking cessation Smoking treatment Systematic review Physician and patient Delivery of health care Smoking cessation programmes Great Britain |
Issue Date: | Mar-2010 |
Date Deposited: | 25-Mar-2013 |
Citation: | Bauld L, Bell K, McCullough L, Richardson L & Greaves L (2010) The effectiveness of NHS smoking cessation services: A systematic review. Journal of Public Health, 32 (1), pp. 71-82. https://doi.org/10.1093/pubmed/fdp074 |
Abstract: | Objectives: To analyse evidence on the effectiveness of intensive NHS treatments for smoking cessation in helping smokers to quit. Methods: A systematic review of studies published between 1990 and 2007. Electronic databases were searched for published studies. Unpublished reports were identified from the national research register and experts. Results: Twenty studies were included. They suggest that intensive NHS treatments for smoking cessation are effective in helping smokers to quit. The national evaluation found 4-week carbon monoxide monitoring validated quit rates of 53%, falling to 15% at 1 year. There is some evidence that group treatment may be more effective than one-to-one treatment, and the impact of ‘buddy support' varies based on treatment type. Evidence on the effectiveness of in-patient interventions is currently very limited. Younger smokers, females, pregnant smokers and more deprived smokers appear to have lower short-term quit rates than other groups. Conclusion: Further research is needed to determine the most effective models of NHS treatment for smoking cessation and the efficacy of those models with subgroups. Factors such as gender, age, socio-economic status and ethnicity appear to influence outcomes, but a current lack of diversity-specific analysis of results makes it impossible to ascertain the differential impact of intervention types on particular subpopulations. |
DOI Link: | 10.1093/pubmed/fdp074 |
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