Iris Kanera

84 Chapter 4 a healthy body mass index (BMI), a healthier lifestyle, and having a low QoL were predictors for a higher use of (multiple behavior) eHealth interventions among the general population (Brouwer et al., 2010; Reinwand, Schulz, Crutzen, Kremers, & de Vries, 2015b). Figure 4.2 Module Referral Advice (MRA) that encourage participants to follow relevant KNWmodules. Adapted fromWillems et al. (2015); © 2015 Willems et al. Reprinted with permission Reported intervention characteristics that might predict usage were peer or counselor support, in-person contact, updates of the intervention, and sending reminders (Brouwer et al., 2011; Kelders et al., 2012; Ritterband et al., 2009). According to previously published studies, mixed results were found on the relationship between intervention usage and outcomes, such as symptom distress, depression, and lifestyle behaviors (Berry et al., 2015; Donkin et al., 2013; Schulz et al., 2012). With regard to appreciation, prior studies reported that web-based interventions were positively evaluated by cancer survivors, and a higher usewas associatedwith a higher appreciation in a generic web-based intervention for breast cancer survivors (De Cocker et al., 2015; Ritterband et al., 2012; van den Berg et al., 2013). The design of the KNW portal differs from most of the existing web-based interventions for cancer survivors by providing personalized self-management training on seven topics and by allowing users to choose which modules they want to use during an intervention period of six months. Previously identified effective intervention characteristics of web- based lifestyle interventions were tailored feedback, the use of theory, interactivity, goal setting, and online or in-person contact (Kelders et al., 2012; Kohl et al., 2013). The KNW