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Programme fidelity was studied by means of several surveys. Yearly data on police-recorded assaults, per 100?000 inhabitants aged 15 and above, committed on weekend nights, were used as dependent selleck inhibitor variable. A fixed-effects panel data regression model was used to examine the effect of the programme. Each extension of the programme, by one component, was associated with a significant 3.1% reduction in assaults. However, this effect was seen mainly in smaller municipalities. Of the different components of the programme, the presence of a community coalition steering group had a significant effect on assaults. No significant effect was found regarding RBS training or supervision of on-licensed premises. Multi-component Responsible Beverage Service programmes can have a significant effect on police-recorded assaults even when implemented on a large scale in many communities. ""A network of Stop Smoking Services has been set up within the National Health Service (NHS) in England. The services deliver a combination of behavioural support and medication. It is important to establish the degree of variability in quit rates attributable to differences between individual practitioners, to gauge the scope for improvement by training and professional support. The aim of the present analysis was to examine how far short-term quit RecBCD rates depend on the practitioner delivering the intervention after adjusting for potential confounding variables. Observational study using routinely collected data. Thirty-one NHS Stop Smoking Services in England. Data from 46?237 one-to-one treatment episodes (supported quit attempts) delivered by specialist practitioners. Three-level logistic regression models were fitted for carbon monoxide (CO)-validated short-term (4-week) quit rates. Models adjusted for age, gender, exemption from prescription charges, medication and intervention setting for each treatment episode, number of clients for each practitioner and economic deprivation at the level of the Stop Smoking Service. Secondary analyses included (i) the Heaviness-of-Smoking Index (HSI) as predictor and (ii) 4-week quit rates whether or not confirmed by CO. Differences between individual specialist practitioners explained 7.6% of the variance in CO-verified quit rates after adjusting for client demographics, intervention characteristics and practitioner and service variables Anti-diabetic Compound Library price (P?