What factors influence quit rates for smoking cessation service clients in Scotland? Results from a secondary analysis of routine data
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Author(s)
Dr JJ Kerssens Senior Information Analyst, Information Services Division (ISD) NHS National Services Scotland.
Linsey Galbraith, Principal Information Analyst, Information Services Division (ISD) NHS National Services Scotland.
Professor Sally Haw, Professor of Public & Population Health, School of Nursing, Midwifery and Health, University of Stirling.
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| Presenter(s) |
Dr Jan Kerssens Senior Information Analyst, Information Services Division (ISD), NHS National Services Scotland |
Abstract We aimed to determine the effectiveness of Scottish Smoking cessation services for different sub-groups of clients and different intervention types and to determine the added value of each service after taking into account the differences in client- and intervention mix. The analysis was conducted using routinely collected data from the national database (2010-2011).
The outcome measure was a self-reported cessation at one month after the quit date (Russel standard). In remote parts of Scotland follow-up is by telephone only and timely CO-verification is difficult. 192,194 quit attempts were analysed using multilevel multiple logistic regression analysis.
38% of clients reported that they had stopped smoking at four week follow up. Success increased with age (OR 1.25 (1.24-1.26)) and being employed (OR 1.42 (1.35-1.49)). Group support was more successful (OR 1.29 (1.23-1.36)) than one-to-one. Varenicline (OR 2.09 (2.01-2.18)) or multiple products NRT (OR 1.13 (1.10-1.16)) had more success than single product NRT. Interventions showed larger differences than client characteristics. Smoking cessation services in Scotland still showed large differences in quit rates (range 30% to 61%) after controlling for client- and intervention mix, some of which were explained by the volume of clients setting a quit date and a rural-non-rural distinction between services.
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Presenter biography Dr JJ Kerssens has been working in the field of medical/health statistics for over 20 years and is specialised in multi-level analysis
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Source of funding: SHEFCE through the Scottish School of Public Health
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Declaration of interest: None
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