OBJECTIVE: To apply the RE-AIM framework to examine factors that may have influenced the impact of a financial incentive smoking cessation intervention delivered at General Electric (GE) worksites. METHODS: Intervention reach and efficacy were examined alone and in combination across worksites. Telephone interviews were conducted with worksite staff to explore organizational-level factors that may have influenced program adoption, implementation, and maintenance. Focus groups were conducted with employees to explore barriers and facilitators to program participation. RESULTS: Intervention impact varied considerably across GE business industries when reach and efficacy both were examined instead of efficacy alone. Barriers that may have hindered program success include time constraints, competing priorities, work stress, and the lack of public visibility. CONCLUSION: Employers considering financial incentive interventions for smoking cessation should examine how organizational context and real-world constraints may influence differential impact across sites.
OBJECTIVE: To apply the RE-AIM framework to examine factors that may have influenced the impact of a financial incentive smoking cessation intervention delivered at General Electric (GE) worksites. METHODS: Intervention reach and efficacy were examined alone and in combination across worksites. Telephone interviews were conducted with worksite staff to explore organizational-level factors that may have influenced program adoption, implementation, and maintenance. Focus groups were conducted with employees to explore barriers and facilitators to program participation. RESULTS: Intervention impact varied considerably across GE business industries when reach and efficacy both were examined instead of efficacy alone. Barriers that may have hindered program success include time constraints, competing priorities, work stress, and the lack of public visibility. CONCLUSION: Employers considering financial incentive interventions for smoking cessation should examine how organizational context and real-world constraints may influence differential impact across sites.
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