2011
DOI: 10.1093/her/cyr099
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Influence of recruitment strategy on the reach and effect of a web-based multiple tailored smoking cessation intervention among Dutch adult smokers

Abstract: This study investigated the influence of two different recruitment strategies on the reach and effect of a web-based multiple tailored smoking cessation program. From May 2009 until June 2010, Dutch adult smokers were recruited via mass media or general practices. Those who completed the baseline questionnaire were followed up during 6 weeks (two follow-ups). Differences between the two samples were assessed regarding baseline characteristics, retention rates, quit attempts and 24-hour point prevalence abstine… Show more

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Cited by 33 publications
(33 citation statements)
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“…As mentioned previously, many participants failed to view the intervention, highlighting the importance of tracking and reporting program exposure in studies testing the effectiveness of online interventions. Additionally, follow-up retention rates were lower than ideal (68.6% at 2 months, 63.3% at 6 months, and 72.4% at 12 months) but higher than reported in other recent online smoking intervention studies (Pike, Rabius, McAlister, & Geiger, 2007;Richardson et al, 2013;Smit, Hoving, Cox, & de Vries, 2012;Stoddard, Augustson, & Moser, 2008;Swartz et al, 2006). This did not impact our treatment utilization outcomes, but it could have resulted in lower abstinence rates than actually occurred among participants because missing participants were counted as smokers.…”
Section: Discussionmentioning
confidence: 57%
“…As mentioned previously, many participants failed to view the intervention, highlighting the importance of tracking and reporting program exposure in studies testing the effectiveness of online interventions. Additionally, follow-up retention rates were lower than ideal (68.6% at 2 months, 63.3% at 6 months, and 72.4% at 12 months) but higher than reported in other recent online smoking intervention studies (Pike, Rabius, McAlister, & Geiger, 2007;Richardson et al, 2013;Smit, Hoving, Cox, & de Vries, 2012;Stoddard, Augustson, & Moser, 2008;Swartz et al, 2006). This did not impact our treatment utilization outcomes, but it could have resulted in lower abstinence rates than actually occurred among participants because missing participants were counted as smokers.…”
Section: Discussionmentioning
confidence: 57%
“…Clinician referral to a DBCI enhan-ces engagement, compared with interventions being simply made freely available over the Internet or as apps 66 ; this suggests that positive endorsement and follow-up by a familiar health professional promotes trust in the intervention. However, remote (telephone, e-mail, or text) coaching to help the user implement the intervention can also be effective, 67 even without the referral or endorsement of a clinician.…”
Section: Promoting Effective Engagementmentioning
confidence: 99%
“…For example, professional support from primary health care could prevent early dropout and reinforce adherence. It has been found that users of a Web-based smoking cessation program referred by general practitioners showed lower dropout rates compared to those who accessed the program directly [75]. Another therapeutic measure for increasing adherence to free-of-charge programs could be the payment of a fee to achieve higher commitment to the program, which would be reimbursable if completion is achieved.…”
Section: Discussionmentioning
confidence: 99%