%0 Journal Article %T Study protocol of a Dutch smoking cessation e-health program %A Nicola E Stanczyk %A Catherine Bolman %A Jean WM Muris %A Hein de Vries %J BMC Public Health %D 2011 %I BioMed Central %R 10.1186/1471-2458-11-847 %X Respondents who smoked at the time of the study inclusion, who were motivated to quit within the following six months and who were aged 18 or older were included in the program. The study is a randomized control trial with a 2 (video/text) * 2(LSES/HSES) design. Respondents were assigned either to one of the intervention groups (text versus video tailored feedback) or to the control group (non-tailored generic advice). In all three conditions participants were asked to fill in the baseline questionnaire based on the I-Change model. The questionnaire assessed socio-demographics, attitude towards smoking, knowledge, self-efficacy, social influence, depression, level of addiction, action planning, goal actions, intention to quit smoking, seven-day point prevalence and continued abstinence. Follow-up measurements were conducted at six and twelve months after baseline.The present paper describes the development of the two computer-tailored smoking cessation programs, their components and the design of the study. The study results reveal different working mechanisms of multiple tailored smoking cessation interventions and will help us to gain more insight into effective strategies to target different subgroups, especially smokers with a lower socio-economic status.Dutch Trial Register NTR3102Smoking tobacco is one of the most preventable causes of illness and premature death in the world [1]. The development of effective smoking cessation programs is essential to prevent illnesses [2].One effective strategy for health promotion that has been developed during the last decades concerns computer-tailored interventions [3,4]. CT has developed since the 1990s as a new technique for health promotion, as it provides the individual with personalized information and feedback on health behaviour. Tailored health messages are based on knowledge of a person generated from his or her answers to a questionnaire on issues related to health behaviour (in the case of smoking, for example, %U http://www.biomedcentral.com/1471-2458/11/847