Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Individual and setting level predictors of the implementation of a skin cancer prevention program: a multilevel analysis | Rabin et al. Implementation Science 2010 5 40 http content 5 1 40 IMPLEMENTATION SCIENCE Implementation Science RESEARCH ARTICLE Open Access Individual and setting level predictors of the implementation of a skin cancer prevention program a multilevel analysis Borsika A Rabin 1 Eric Nehl2 Tom Elliott2 Anjali D Deshpande3 Ross C Brownson4 5 and Karen Glanz2 6 Abstract Background To achieve widespread cancer control a better understanding is needed of the factors that contribute to successful implementation of effective skin cancer prevention interventions. This study assessed the relative contributions of individual- and setting-level characteristics to implementation of a widely disseminated skin cancer prevention program. Methods A multilevel analysis was conducted using data from the Pool Cool Diffusion Trial from 2004 and replicated with data from 2005. Implementation of Pool Cool by lifeguards was measured using a composite score implementation variable range 0 to 10 that assessed whether the lifeguard performed different components of the intervention. Predictors included lifeguard background characteristics lifeguard sun protection-related attitudes and behaviors pool characteristics and enhanced . more technical assistance tailored materials and incentives are provided versus basic treatment group. Results The mean value of the implementation variable was 4 in both years 2004 and 2005 SD 2 in 2004 and SD 3 in 2005 indicating a moderate implementation for most lifeguards. Several individual-level lifeguard characteristics and setting-level pool characteristics and treatment group factors were found to be significantly associated with implementation of Pool Cool by lifeguards. All three lifeguard-level domains lifeguard background characteristics lifeguard sun protection-related attitudes and behaviors and six pool-level predictors number of weekly pool visitors intervention intensity geographic latitude pool location sun .