C. Bolman

Development of Web-Based Computer-Tailored Advice to Promote Physical Activity Among People Older Than 50 Years

Background The Active Plus project is a systematically developed theory- and evidence-based, computer-tailored intervention, which was found to be effective in changing physical activity behavior in people aged over 50 years. The process and effect outcomes of the first version of the Active Plus project were translated into an adapted intervention using the RE-AIM framework. The RE-AIM model is often used to evaluate the potential public health impact of an intervention and distinguishes five dimensions: reach, effectiveness, adoption, implementation, and maintenance. Objective To gain insight into the systematic translation of the first print-delivered version of the Active Plus project into an adapted (Web-based) follow-up project. The focus of this study was on the reach and effectiveness dimensions, since these dimensions are most influenced by the results from the original Active Plus project. Methods We optimized the potential reach and effect of the interventions by extending the delivery mode of the print-delivered intervention into an additional Web-based intervention. The interventions were adapted based on results of the process evaluation, analyses of effects within subgroups, and evaluation of the working mechanisms of the original intervention. We pretested the new intervention materials and the Web-based versions of the interventions. Subsequently, the new intervention conditions were implemented in a clustered randomized controlled trial. Results Adaptations resulted in four improved tailoring interventions: (1) a basic print-delivered intervention, (2) a basic Web-based intervention, (3) a print-delivered intervention with an additional environmental component, and (4) a Web-based version with an additional environmental component. Pretest results with participants showed that all new intervention materials had modest usability and relatively high appreciation, and that filling in an online questionnaire and performing the online tasks was not problematic. We used the pretest results to improve the usability of the different interventions. Implementation of the new interventions in a clustered randomized controlled trial showed that the print-delivered interventions had a higher response rate than the Web-based interventions. Participants of both low and high socioeconomic status were reached by both print-delivered and Web-based interventions. Conclusions Translation of the (process) evaluation of an effective intervention into an adapted intervention is challenging and rarely reported. We discuss several major lessons learned from our experience. Trial Registration Nederlands Trial Register (NTR): 2297; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2297 (Archived by WebCite at http://www.webcitation.org/65TkwoESp).

Smoking cessation treatment practices: recommendations for improved adoption on cardiology wards.

Background and Objectives:Smoking cessation treatment practices described by the 5 A’s (ask, advise, assess, assist, arrange) are not well applied at cardiology wards because of various reasons, such as a lack of time and appropriate skills of the nursing staff. Therefore, a simplified guideline proposing an ask-advise-refer (AAR) strategy was introduced in Dutch cardiac wards. This study aimed to identify factors that determine the intentions of cardiac ward heads in adopting the simplified AAR guideline, as ward heads are key decision makers in the adoption of new guidelines. Ward heads’ perceptions of current smoking cessation practices at the cardiac ward were also investigated. Methods:A cross-sectional survey with written questionnaires was conducted among heads of cardiology wards throughout the Netherlands, of whom 117 (64%) responded. Results:According to the heads of cardiac wards, smoking cessation practices by cardiologists and nurses were mostly limited to brief practices that are easy to conduct. Only a minority offered intensive counseling or arranged follow-up contact. Heads with strong intentions of adopting the AAR guideline differed significantly on motivational and organizational attributes and perceived more smoking cessation assistance by other health professionals than did heads with weak intentions of adopting. Positive attitudes, social support toward adoption, and perception of much assistance at the ward were significantly associated with increased intentions to adopt the AAR guideline. Conclusions:Brief smoking cessation practices are adequately performed at cardiac wards, but the most effective practices, offering assistance and arranging for follow-up, are less than optimal. The AAR guideline offers a more feasible approach for busy cardiology wards. To ensure successful adoption of this guideline, the heads of cardiac wards should be convinced of its advantages and be encouraged by a supportive work environment. Policies may also facilitate the adoption of the AAR guideline.

Self-Reporting of Smoking Cessation in Cardiac Patients: How Reliable Is It and Is Reliability Associated With Patient Characteristics?

Objectives:The objectives of this study were to determine the accuracy of smoking cessation self-reports by cardiac patients who participated in a smoking cessation program, and to determine which patient characteristics are associated with an inaccurate self-report during a follow-up interview 12 months after the start of the program. Methods:Smoking cessation self-reports (point prevalence abstinence) were validated against salivary cotinine levels. Using &khgr;2 analyses, patients who reported accurately being a nonsmoker were compared with those who reported inaccurately being a nonsmoker (biochemically verified as smokers) on factors the literature has indicated to be associated with inaccurate self-report in smoking. Potential predictors of inaccurate self-report of smoking (P ⩽ 0.20 in univariate analyses) were subsequently tested in a multivariate logistic regression analysis. Results:Of the 95 patients tested, almost 25% inaccurately reported having quit smoking at a cutoff of 10-ng/mL cotinine in saliva. The data show more underreporting of smoking among patients who received a face-to-face counseling intervention and among patients with an intermediate education level. There was significantly less underreporting among patients characterized as having a Type D personality. Conclusions:These findings suggest that underreporting of smoking status in cardiac patients who participate in a smoking cessation program is high, especially in those who receive intensive face-to-face counseling. Having a Type D personality seems to be a protective factor, whereas having an intermediate level of education is a risk factor for inaccurate reporting. Biochemical validation in high-risk populations is highly needed, ideally accompanied by alternative forms of verification. Optimal validation testing in smoking cessation studies of cardiac patients is difficult because of high refusal rates, no-show, and organizational difficulties.

A comparison of time-varying covariates in two smoking cessation interventions for cardiac patients

The aim of the study was to explore the time-varying contribution of social cognitive determinants of smoking cessation following an intervention on cessation. Secondary analyses were performed on data from two comparable randomized controlled trials on brief smoking cessation interventions for cardiac in- and outpatients. Cox regression with time-varying covariates was applied to examine the predictive cognitions for smoking cessation over time. Both samples showed self-efficacy and intention-to-quit to be strong time-varying indicators of smoking cessation during the full 1-year follow-up period, and during the post-treatment phase in particular. Less consistently, time-varying cons of quitting and social influence were also found to be associated with smoking cessation, depending on the sample and type of intervention. Self-efficacy and intention-to-quit were the major covariates and positively related to smoking cessation over time among cardiac patients, in line with social-cognitive theories. Interestingly, both cognitive constructs appeared to act with some delay. Apparently, smoking cessation is a lengthy process in which the interplay between self-efficacy (and intention indirectly) and quitting behavior will largely determine long-term maintenance of abstinence. The presented time-varying analyses seem a valid and feasible way to underpin trajectories of cognitions in datasets with a limited number of time intervals.