The ISAC Paradigm to Tame Oral Cancer in Saudi Arabia: A Quasi-experimental Study.

Late detection of oral cancer (OC) cases in Saudi Arabia is concerning. It reduces survival rate and complicates treatment. The ISAC intervention was developed to bridge the gaps observed in dentists' practice of OC examination and patient education. The ISAC stands for I, informing patients of OC screenings; S, screening for OC; A, advising high-risk patients to quit risk factors; and C, connecting patients to advanced services. This study tested the potential effect of the ISAC in influencing dentists' cognitive and behavioral skills, to enhance early detection and prevention of OC. A quasi-experimental study was conducted among dental interns (DIs) at dental setting to test the effect on comprehensive oral cancer examination score (COCE), awareness, self-efficacy, descriptive-norms, and self-reported behavior. Data were collected through triangulation of methods pre and post the intervention at two-months. Multiple linear mixed effects regression models were utilized for data analysis. Between October 2020 and April 2021, 47 DIs participated in the study. The final model showed the significant effects of time (ISAC) on COCE (95% CI = 25.12-29.42, P < .001). DIs had a significant improvement in awareness, self-efficacy, descriptive norms, and self-reported behavior. The findings showed promising effects of the intervention toward the early detection and prevention of OC. Dentists, dental organizations, and policymakers in areas with a high risk of OC could benefit from the current intervention which contributes to capacity building and improved community health. A pragmatic study with a robust design is needed to test the effectiveness of the intervention on a wider scale.

Using tailored eHealth programmes to stimulate primary health care professionals' lifestyle counselling guideline adherence - Lessons learned from the STAR project.

BACKGROUND: Although individually tailored eHealth programmes have shown to be effective in changing patient and citizen health behaviours, they have so far not been applied to lifestyle counselling guideline adherence in primary health care professionals beyond our STAR project. The programme aimed to support general practice nurses adhering to national smoking cessation counselling guidelines and showed encouraging positive impacts on both nurse and patient level. OBJECTIVE: To identify lessons learned from our successful application of a tailored eHealth programme in primary health care. METHODS: Triangulation of information from different sources collected throughout the project run time (e.g., project meetings, discussions with experts in the fields of computer tailoring, smoking cessation and professional education and interactions with general practice nurses). RESULTS: We identify four lessons learned which developers and testers of tailored eHealth programmes in primary health care should consider, relating to 1) Choosing outcome measures, 2) Measuring outcomes, 3) Practical feedback application & Programme accessibility, and 4) Programme interaction. PRACTICE IMPLICATIONS: We share this information in the hope that we will see more applications of this promising intervention strategy - that can build on our work - in the future.

Active Ingredients of Interventions Improving Smoking Cessation Support by Dutch Primary Care Providers: A Systematic Review.

The objective was to assess active ingredients, change mechanisms, and fidelity in interventions aiming to increase the quality of smoking cessation care in the Dutch primary healthcare setting. We conducted a systematic review searching five scientific databases on August 2nd, 2019, updated on October 28th, 2021. We included effect data of behavioural interventions aiming at improving the provision of smoking cessation support by Dutch primary care providers to their patients. We excluded studies published before 2000 and those without a behavioural support intervention for primary care providers targeting smoking cessation in their patients. We found 1939 articles and included 15 distinct interventions in the review. We provided an overview of study characteristics, intervention effects, fidelity, active ingredients and change mechanisms using the Behaviour Change Techniques (BCT) Taxonomy and Mechanisms of Action (MoAs) protocols. Interventions seemed more effective when including a face-to-face component, using active learning strategies and providing a tool to help follow the guidelines in practice (e.g., physical cards with information). BCTs, MoAs, and fidelity were overall poorly reported on. To support the application of smoking cessation practices in Dutch primary care, we recommend implementation of face-to-face training programs incorporating active skill training elements combined with practical tools.

Effects of an Explicit Value Clarification Method With Computer-Tailored Advice on the Effectiveness of a Web-Based Smoking Cessation Decision Aid: Findings From a Randomized Controlled Trial.

BACKGROUND: Smoking continues to be a driver of mortality. Various forms of evidence-based cessation assistance exist; however, their use is limited. The choice between them may also induce decisional conflict. Offering decision aids (DAs) may be beneficial; however, insights into their effective elements are lacking. OBJECTIVE: This study tested the added value of an effective element (ie, an "explicit value clarification method" paired with computer-tailored advice indicating the most fitting cessation assistance) of a web-based smoking cessation DA. METHODS: A web-based randomized controlled trial was conducted among smokers motivated to stop smoking within 6 months. The intervention group received a DA with the aforementioned elements, and the control group received the same DA without these elements. The primary outcome measure was 7-day point prevalence abstinence 6 months after baseline (time point 3 [t=3]). Secondary outcome measures were 7-day point prevalence of abstinence 1 month after baseline (time point 2 [t=2]), evidence-based cessation assistance use (t=2 and t=3), and decisional conflict (immediately after DA; time point 1). Logistic and linear regression analyses were performed to assess the outcomes. Analyses were conducted following 2 (decisional conflict) and 3 (smoking cessation) outcome scenarios: complete cases, worst-case scenario (assuming that dropouts still smoked), and multiple imputations. A priori sample size calculation indicated that 796 participants were needed. The participants were mainly recruited on the web (eg, social media). All the data were self-reported. RESULTS: Overall, 2375 participants were randomized (intervention n=1164, 49.01%), of whom 599 (25.22%; intervention n=275, 45.91%) completed the DAs, and 276 (11.62%; intervention n=143, 51.81%), 97 (4.08%; intervention n=54, 55.67%), and 103 (4.34%; intervention n=56, 54.37%) completed time point 1, t=2, and t=3, respectively. More participants stopped smoking in the intervention group (23/63, 37%) than in the control group (14/52, 27%) after 6 months; however, this was only statistically significant in the worst-case scenario (crude P=.02; adjusted P=.04). Effects on the secondary outcomes were only observed for smoking abstinence after 1 month (15/55, 27%, compared with 7/46, 15%, in the crude and adjusted models, respectively; P=.02) and for cessation assistance uptake after 1 month (26/56, 46% compared with 18/47, 38% only in the crude model; P=.04) and 6 months (38/61, 62% compared with 26/50, 52%; crude P=.01; adjusted P=.02) but only in the worst-case scenario. Nonuse attrition was 34.19% higher in the intervention group than in the control group (P<.001). CONCLUSIONS: Currently, we cannot confidently recommend the inclusion of explicit value clarification methods and computer-tailored advice. However, they might result in higher nonuse attrition rates, thereby limiting their potential. As a lack of statistical power may have influenced the outcomes, we recommend replicating this study with some adaptations based on the lessons learned. TRIAL REGISTRATION: Netherlands Trial Register NL8270; https://www.trialregister.nl/trial/8270. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/21772.

Process Evaluation of a Comprehensive Intervention for the Early Detection and Prevention of Oral Cancer: A Mixed Methods Study.

Process evaluations help to understand and refine health interventions. The "ISAC" intervention targeted the enhancement of early detection and prevention of oral cancer (OC) through tobacco-cessation counseling, patient communications, and ISAC role-modeling. Over six months, throughout ISAC implementation in the Jazan region of Saudi Arabia, Linnan and Steckler's process evaluation framework's specified indicators were assessed, by mixed methods, on context, reach, dose delivered, dose received, fidelity, recruitment, and participant's satisfaction. Findings showed that 47 of 80 (58.75%) eligible dentists were reached and received all components. Thirty-six (76.6%) participants reported reading all intervention materials, visited the ISAC website, scored high on the perceived quality of provided information (M = 4.62 ± 0.63), and provided support (M = 4.67 ± 0.57). The fidelity was scored high across all intervention components. Role-modeling of the ISAC had the highest satisfaction score (M = 9.77 ± 0.58 out of 10). High perceived-effects were reported in relation to feeling confident in performing OC examination and training patients on OC self-examination (3.95 ± 0.22). The intervention attained high implementation levels for dose delivered, dose received, and fidelity. The intervention delivery was associated with high satisfaction and perceived effects. Using multiple data sources enhanced the understanding of the implementation process and strengthened the validity of the study's findings.

Message Frame-Tailoring in Digital Health Communication: Intervention Redesign and Usability Testing.

BACKGROUND: Message frame-tailoring based on the need for autonomy is a promising strategy to improve the effectiveness of digital health communication interventions. An example of a digital health communication intervention is Personal Advice in Stopping smoking (PAS), a web-based content-tailored smoking cessation program. PAS was effective in improving cessation success rates, but its effect sizes were small and disappeared after 6 months. Therefore, investigating whether message frame-tailoring based on the individual's need for autonomy might improve effect rates is worthwhile. However, to our knowledge, this has not been studied previously. OBJECTIVE: To investigate whether adding message frame-tailoring based on the need for autonomy increases the effectiveness of content-tailored interventions, the PAS program was redesigned to incorporate message frame-tailoring also. This paper described the process of redesigning the PAS program to include message frame-tailoring, providing smokers with autonomy-supportive or controlling message frames-depending on their individual need for autonomy. Therefore, we aimed to extend framing theory, tailoring theory, and self-determination theory. METHODS: Extension of the framing theory, tailoring theory, and self-determination theory by redesigning the PAS program to include message frame-tailoring was conducted in close collaboration with scientific and nonscientific smoking cessation experts (n=10), smokers (n=816), and communication science students (n=19). Various methods were used to redesign the PAS program to include message frame-tailoring with optimal usability: usability testing, think-aloud methodology, heuristic evaluations, and a web-based experiment. RESULTS: The most autonomy-supportive and controlling message frames were identified, the cutoff point for the need for autonomy to distinguish between people with high and those with low need for autonomy was determined, and the usability was optimized. CONCLUSIONS: This resulted in a redesigned digital health communication intervention that included message frame-tailoring and had optimal usability. A detailed description of the redesigning process of the PAS program is provided. TRIAL REGISTRATION: Netherlands Trial Register NL6512 (NRT6700); https://www.trialregister.nl/trial/6512.

Dentists' perceptions and usability testing toward the implementation of the ISAC, a comprehensive oral cancer intervention in dental practices: a qualitative study in Jazan region, Saudi Arabia.

OBJECTIVE: We aimed to explore dentists' perceptions toward the implementation of a comprehensive intervention (ISAC) for the early detection and prevention of oral cancer in a dental clinic. METHODS: The ISAC intervention was presented to ten purposefully sampled dentists in Jazan Dental School (JDS). Participating dental interns were asked to practice the ISAC intervention whilst thinking aloud. A semi-structured interview technique was used to allow free expression of participants' perceptions related to the ISAC intervention and to control the flow of topics. Fleuren's framework theory informed the analysis. The interviews were transcribed verbatim and analyzed using the deductive-inductive framework analysis. RESULTS: Practicing the ISAC intervention was perceived to enhance the early detection and prevention of oral cancer. Serving community needs and engaging community groups were perceived to be related to a high relevance and compatibility of the ISAC intervention. Being a comprehensive intervention with well-defined objectives and being built on relevant data from the participants' community and having dentists as a target group were the perceived relative advantages of the ISAC intervention compared to other programs. A supportive environment, gender-concordance, use of regional trainers, standard examination form and collaboration with other sectors were perceived to be the facilitators. Competition with clinical time, use of different examination forms and low organizational leader interests were perceived as impeding factors against effective implementation in a real-world context. Reward, easy to practice, feeling confidence and satisfaction, advertisement as well as use of a role model approach were perceived to be motivating factors. CONCLUSIONS: Integrating data from representers of different participant groups during intervention conceptualization and development are critical for the intervention compatibility and acceptability. The study findings showed the opportunities of intertwining the intrinsic motivators of satisfaction and altruism existing in the target group and the extrinsic motivator of official diagnostic skill, certification that may boost and sustain the behavior change. Intervention features that influence perceived relevance, compatibility, relative advantage and motivation may be of great importance for intervention practice.

Do professional perspectives on evidence-based smoking cessation methods align? A Delphi study among researchers and healthcare professionals.

The use of evidence-based smoking cessation interventions (SCIs) can significantly increase the number of successful smoking cessation attempts. To obtain an overview of the knowledge and viewpoints on the effectiveness and use of SCIs, a three-round online Delphi study was conducted among researchers and primary care professionals (PCPs). The four objectives of this study are to gain an overview of (i) the criteria important for recommending SCIs, (ii) the perceptions of both groups on the effectiveness of SCIs, (iii) the factors to consider when counseling different (high-risk) groups of smokers and (iv) the perceptions of both groups on the use of e-cigarettes as an SCI. We found a high level of agreement within groups on which smoker characteristics should be considered when recommending an SCI to smokers. We also found that PCPs display a lower degree of consensus on the effectiveness of SCIs. Both groups see a value in the use of special protocols for different (high-risk) groups of patients, but the two groups did not reach consensus on the use of e-cigarettes as a means to quit. Making an inventory of PCPs' needs regarding SCIs and their usage may provide insight into how to facilitate a better uptake in the primary care setting.

An economic evaluation of an online computer-tailored smoking cessation intervention that includes message frame-tailoring: A randomized controlled trial.

Evidence of economic evaluations of behaviour change interventions is scarce, but needed to guide policy makers' decision-making. This study economically evaluated 4 versions of an innovative online computer-tailored smoking cessation intervention. The economic evaluation from a societal perspective was embedded in a randomized controlled trial among 532 smokers using a 2 (message frame-tailoring, i.e. how messages are presented: autonomy-supportive vs controlling) x 2 (content-tailoring, i.e. what content is presented: tailored vs. generic) design. Both kinds of tailoring, content-tailoring and message frame-tailoring, were based on a set of questions asked at baseline. Self-reported costs, prolonged smoking abstinence (cost-effectiveness) and quality of life (cost-utility) were assessed during a 6-month-follow-up. For cost-effectiveness analysis, costs per abstinent smoker were calculated. For cost-utility analysis, costs per QALY (i.e. quality-adjusted life year) gained were calculated. A willingness-to-pay (WTP) threshold of €20.000 was used. Bootstrapping and sensitivity analysis were conducted. Cost-effectiveness analysis showed that up to a WTP of €2.000, the combination of message frame- and content-tailoring dominated all study groups. From a WTP of €2.005, the content-tailored group dominated all study groups. Cost-utility analysis revealed that the combination of message frame-tailoring and content-tailoring had the highest probability of being the most efficient study group at all levels of the WTP. The combination of message frame-tailoring and content-tailoring in online smoking cessation programmes seemed to have high potential for cost-effectiveness (smoking abstinence) and cost-utility (quality of life), thus providing good value for money. Yet, when the WTP for each abstinent smoker is high (i.e., €2.005 or higher), the addition of message frame-tailoring might not be worth the effort and content-tailoring only is preferred.

Identifying Active Ingredients, Working Mechanisms, and Fidelity Characteristics Reported in Smoking Cessation Interventions in Dutch Primary Care: A Systematic Review.

BACKGROUND: Evidence-based smoking cessation interventions provided by healthcare professionals can be successful in helping citizens to quit smoking. Yet, evidence is needed about the active ingredients of these interventions, how these ingredients work and how they are implemented in practice. Such knowledge is required to effectively support healthcare professionals to optimally put evidence-based smoking cessation interventions to (inter)national practice. OBJECTIVE: To identify active ingredients (including behavior change techniques), mechanisms of action and implementation fidelity reported in smoking cessation interventions in Dutch primary care settings and to relate these to intervention effectiveness. METHODS: A systematic review was conducted by searching nine national intervention or funding databases, five international scientific databases and consulting 17 national smoking cessation experts. Out of 1066 identified manuscripts, 40 interventions were eligible for this review. Based on published protocols, information regarding behavior change techniques and mechanisms of action was systematically abstracted. Additionally, information regarding study characteristics and other active ingredients, effects on smoking behavior and implementation fidelity was abstracted. Comparative effectiveness concerning abstracted intervention characteristics was qualitatively explored. RESULTS: Active ingredients, mechanisms of action and implementation fidelity were moderately to poorly reported. Interventions applying behavior change techniques and interventions with a single behavioral target (i.e. smoking-only versus multiple behaviors) seemed to provide stronger evidence for successfully changing smoking behavior. CONCLUSION: Attention to and reporting on interventions' active ingredients (e.g. behavior change techniques), mechanisms of action and implementation fidelity are prerequisites for developing more effective evidence-based smoking cessation interventions to be successfully implemented in primary healthcare. IMPLICATIONS: This systematic review provides an overview of smoking cessation interventions in Dutch primary care settings, identified since the year 2000. Smoking cessation support is offered in various forms, but our qualitative findings show that interventions including more behavior change techniques and interventions targeting only smoking cessation (compared to multiple behaviors) might be more effective. Results also show that-based on available intervention reports-it is difficult to distinguish patterns of active ingredients (such as behavior change techniques), mechanisms of action and fidelity of implementation in relation to interventions' effectiveness. This means (quality of) reporting on these intervention characteristics should improve.

Identifying Behavior Change Techniques Used in Tobacco Cessation Interventions by Oral Health Professionals and Their Relation to Intervention Effects-A Review of the Scientific Literature.

This review aimed to identify the behavioral change techniques (BCTs) used in behavioral interventions for tobacco cessation at dental practices in relation to their effect on tobacco use. Six scientific databases were searched for behavior change interventions for tobacco cessation and were coded using the BCT taxonomy of behavioral support for smoking cessation (BCTTsm). Fifteen interventions were identified, and data related to intervention characteristics were abstracted. Sixteen BCTs were identified, mainly related to increased motivation and teaching regulatory skills. Goal setting was the most commonly used BCT. Ten out of fifteen interventions effectively impacted tobacco cessation outcomes (OR = 2 to 5.25). Effective interventions more frequently included goal setting, written materials, readiness to quit and ability assessment, tobacco-use assessment, self-efficacy boost, listing reasons for quitting, action planning and environment restructuring. Other BCTs were not clearly associated with an increased effect. Among the behavioral interventions, certain techniques were associated with successful tobacco quitting. Tobacco cessation interventions in a dental setting appear to benefit from using BCTs that increase motivation and teach regulatory skills. The identified BCTs in this review could provide a source to better inform researchers and dentists about the active ingredients in behavior change interventions for tobacco cessation in a dental setting.

Decision aids to facilitate decision making around behavior change in the field of health promotion: A scoping review.

OBJECTIVE: To broadly synthesize literature regarding decision aids (DAs) supporting decision making about diet, physical activity, sleeping and substance use a scoping review was performed. METHODS: Multiple sources were used: (1) Scientific literature searches, (2) excluded references from a Cochrane review regarding DAs for treatments and screenings, and (3) results from additional searches. Interventions had to (1) support informed decision making and (2) provide information and help to choose between at least two options. Two researchers screened titles and abstracts. Relevant information was extracted descriptively. RESULTS: Thirty-five scientific articles and four DAs (grey literature) were included. Results were heterogeneous. Twenty-nine (94%) studies described substance use DAs. All DAs offered information and value and/or preference clarification. Many other elements were included (e.g., goal-setting). DA's effects were mixed. Few studies used standardized measures, e.g., decisional conflict (n = 4, 13%). Some positive behavioral effects were reported: e.g., smoking abstinence (n = 1). CONCLUSIONS: This research shows only some positive behavioral effects of DAs. However, studies reported heterogeneous results/outcomes, impeding knowledge synthesis. Areas of improvement were identified, e.g., establishing which intervention elements are effective regarding health behavior decision making. PRACTICE IMPLICATIONS: DAs can potentially be beneficial in supporting people to change health behaviors - especially regarding smoking.

A smoker's choice? Identifying the most autonomy-supportive message frame in an online computer-tailored smoking cessation intervention.

OBJECTIVE: To test the effect of autonomy-supportive message framing on people's perceived autonomy-support while considering the individual need for autonomy as a moderator. Also, to test whether autonomy-supportive message frames - through increased perceived autonomy-support - lead to more self-determined motivation, and increased intention to quit smoking. DESIGN: An online 2(autonomy-supportive; controlling language) × 2(choice; no choice) between-subjects design with control condition (generic advice) with adult smokers intending to quit (N = 626). MAIN OUTCOME: Intention to quit smoking (Theory of Planned Behaviour). MEASURES: Perceived autonomy-support (Virtual Climate Care Questionnaire), need for autonomy (Health Causality Orientations Scale), self-determined motivation (Treatment Self-Regulation Questionnaire), attitudes, social influence, self-efficacy (I-Change Model). RESULTS: Structural equation modelling revealed no significant effect of autonomy-supportive-message frames on perceived autonomy-support or self-determined motivation, neither did the need for autonomy moderate these effects. Self-determined motivation had a positive, significant effect on intention to quit, mediated by attitudes, social influence, and self-efficacy. CONCLUSION: Although message frames did not affect perceived autonomy-support or self-determined motivation, higher self-determined motivation increased intention to quit via attitudes, social influence, and self-efficacy. Before drawing the conclusion that message framing has no effect, we recommend to replicate this study in a real-life setting with smokers more likely to read and process the message frames more attentively.

An Autonomy-Supportive Online Decision Aid to Assist Smokers in Choosing Evidence-Based Cessation Assistance: Development Process and Protocol of a Randomized Controlled Trial.

BACKGROUND: Decision aids (DAs) may be used to facilitate an autonomous, informed decision to cease smoking and promote the uptake of evidence-based cessation assistance (ie, behavioral support, nicotine replacement therapy, or prescription medication). However, knowledge is lacking regarding their effective elements and (cost-)effectiveness. OBJECTIVE: We describe the development process of an online DA (called "VISOR") that helps smokers to choose evidence-based cessation assistance. Additionally, we provide a description of the protocol of an ongoing randomized controlled trial in which the DA containing an explicit value clarification method (VCM) and tailored advice is compared with a DA without an explicit VCM and tailored advice. METHODS: The development of "VISOR" was based on the International Patient Decision Aid Standards guidelines. Viewpoints of end users (collected through 20 interviews with smokers) and clinical and scientific experts (assessed using 2 Delphi studies with 24 scientists and 38 clinicians) were assessed regarding cessation tool decision making and preferred DA content. These findings, together with principles from the Self-Determination Theory, served as input for the development of the online DA. A first DA prototype was alpha-tested in September 2019 and beta-tested for usability in December 2019; feedback was incorporated and resulted in a final version. The final DA contains (1) an information section, (2) an optional knowledge quiz, (3) a brief smoking assessment, (4) intuitive decision, (5) intermediate advice, (6) an explicit VCM, (7) tailored advice, and (8) access information. A randomized controlled trial is currently being conducted to assess the DA's (cost-)effectiveness compared to a DA that does not include the explicit VCM and the tailored advice; specifically, the DA's effect on smoking abstinence, uptake of evidence-based cessation assistance, smoking abstinence mediated through uptake of evidence-based cessation assistance, and decisional conflict are investigated. Participants are randomly allocated to receive access to 1 of the 2 DAs and are asked to complete 5 questionnaires (including the baseline questionnaire) over a period of 12 months. To evaluate the effects of the DA on the outcome measures, logistic and linear regression analyses as well as mediation analyses will be carried out. An economic evaluation will be performed to assess the cost-effectiveness. RESULTS: Data regarding the effect of the VISOR DA are currently being collected, and data collection is expected to be concluded in 2021. CONCLUSIONS: By making use of an iterative process that integrated different stakeholders' perspectives (including end users), we were able to systematically design an evidence-based DA. The study will contribute to the current knowledge regarding smoking cessation DA application, the added value of explicit VCMs, and the effect of behavioral and informed decision-making outcomes. TRIAL REGISTRATION: Netherlands Trial Register NL8270; https://www.trialregister.nl/trial/8270. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/21772.

Effectiveness of Message Frame-Tailoring in a Web-Based Smoking Cessation Program: Randomized Controlled Trial.

BACKGROUND: The content of online computer-tailored interventions is often determined to match an individual's characteristics, beliefs, and behavioral factors. These content-tailored interventions lead to better message processing and a higher likelihood of behavior change such as smoking cessation. However, a meta-analysis of online computer-tailored interventions showed that effect sizes, albeit positive, remain small, suggesting room for improvement. A promising strategy to enhance the effectiveness of online computer-tailored interventions is to tailor the message frame (ie, how a message is communicated) based on the preferred communication style of the user in addition to content-tailoring. One factor that determines an individual's communication style preference is the need for autonomy; some individuals prefer an autonomy-supportive communication style (offering choice and use of suggestive language), whereas others might prefer a directive communication style, which is replete with imperatives and does not provide choice. Tailoring how messages are presented (eg, based on the need for autonomy) is called message frame-tailoring. OBJECTIVE: The aim of the present study was to test the effectiveness of message frame-tailoring based on the need for autonomy, in isolation and in combination with content-tailoring, within the context of an online computer-tailored smoking cessation intervention. The primary outcome measure was the 7-day point-prevalence of smoking abstinence. Secondary outcomes were perceived message relevance, self-determined motivation to quit smoking, and sociocognitive beliefs. METHODS: A randomized controlled trial with a 2 (message frame-tailoring vs no message frame-tailoring) by 2 (content-tailoring vs no content-tailoring) design was conducted among adult smokers intending to quit smoking (N=273). RESULTS: Structural equation modeling revealed that the content-tailored condition increased smoking abstinence rates 1 month after the start of the intervention (beta=.57, P=.02). However, neither message frame-tailoring nor its interaction with content-tailoring significantly predicted smoking abstinence. In our model, message frame-tailoring, content-tailoring, as well as their interaction significantly predicted perceived relevance of the smoking cessation messages, which consequently predicted self-determined motivation. In turn, self-determined motivation positively affected attitudes and self-efficacy for smoking cessation, but only self-efficacy consequently predicted smoking abstinence. Participants in the control condition perceived the highest level of message relevance (mean 4.78, SD 1.27). However, messages that were frame-tailored for individuals with a high need for autonomy in combination with content-tailored messages led to significantly higher levels of perceived message relevance (mean 4.83, SD 1.03) compared to those receiving content-tailored messages only (mean 4.24, SD 1.05, P=.003). CONCLUSIONS: Message frame-tailoring based on the need for autonomy seems to be an effective addition to conventional content-tailoring techniques in online smoking cessation interventions for people with a high need for autonomy; however, this is not effective in its current form for people with a low need for autonomy. TRIAL REGISTRATION: Dutch Trial Register (NL6512/NRT-6700); https://www.trialregister.nl/trial/6512.

Smoker profiles and their influence on smokers' intention to use a digital decision aid aimed at the uptake of evidence-based smoking cessation tools: An explorative study.

OBJECTIVES: Evidence-based smoking cessation support tools (EBSTs) can double the quitting chances, but uptake among smokers is low. A digital decision aid (DA) could help smokers choose an EBST in concordance with their values and preferences, but it is unclear which type of smokers are interested in a digital DA. We hypothesized that smokers' general decision-making style (GDMS) could be used to identify early adopters. This study therefore aimed to identify smoker profiles based on smokers' GDMS and investigate these profiles' association with intention to use a digital DA. DESIGN: A cross-sectional dataset (N = 200 smokers intending to quit) was used to perform a hierarchical cluster analysis based on smokers' GDMS scores. METHODS: Clusters were compared on demographic and socio-cognitive variables. Mediation analyses were conducted to see if the relationship between cluster membership and intention was mediated through socio-cognitive variables (e.g., attitude). RESULTS: Two clusters were identified; " Avoidant Regretters " (n = 134) were more avoidant, more regretful and tended to depend more on others in their decision making, while " Intuitive Non-regretters " (n = 66) were more spontaneous and intuitive in their decision making. Cluster membership was significantly related to intention to use a DA, with " Avoidant Regretters " being more interested. Yet, this association ceased to be significant when corrected for socio-cognitive variables (e.g., attitude). This indicates that cluster membership affected intention via socio-cognitive variables. CONCLUSIONS: The GDMS can be used to identify smokers who are interested in a digital DA early on. As such, the GDMS can be used to tailor recruitment and DA content.

Perceived facilitating and limiting factors for healthcare professionals to adopting a patient decision aid for breast cancer aftercare: A cross-sectional study.

OBJECTIVE: Effective healthcare innovations are often not adopted and implemented. An implementation strategy based on facilitators and barriers for use as perceived by healthcare professionals could increase adoption rates. This study therefore aimed to identify the most relevant facilitators and barriers for use of an innovative breast cancer aftercare decision aid (PtDA) in healthcare practice. METHODS: Facilitators and barriers (related to the PtDA, adopter and healthcare organisation) were assessed among breast cancer aftercare health professionals (n = 81), using the MIDI questionnaire. For each category, a backward regression analysis was performed (dependent = intention to adopt). All significant factors were then added to a final regression analysis to identify to most relevant determinants of PtDA adoption. RESULTS: Expecting higher compatibility with daily practice and clinical guidelines, more positive outcomes of use, higher perceived relevance for the patient and increased self-efficacy were significantly associated with a higher intention to adopt. Self-efficacy and perceived patient relevance remained significant in the final model. CONCLUSIONS: Low perceived self-efficacy and patient relevance are the most important barriers for health professions to adopt a breast cancer aftercare PtDA. PRACTICE IMPLICATIONS: To target self-efficacy and perceived patient relevance, the implementation strategy could apply health professional peer champions.

An economic evaluation of a computer-tailored e-learning program to promote smoking cessation counseling guideline adherence among practice nurses.

OBJECTIVE: To conduct an economic evaluation of a tailored e-learning program, which successfully improved practice nurses' smoking cessation guideline adherence. METHODS: The economic evaluation was embedded in a randomized controlled trial, in which 269 practice nurses recruited 388 smoking patients. Cost-effectiveness was assessed using guideline adherence as effect measure on practice nurse level, and continued smoking abstinence on patient level. Cost-utility was assessed on patient level, using patients' Quality Adjusted Life Years (QALYs) as effect measure. RESULTS: The e-learning program was likely to be cost-effective on practice nurse level, as adherence to an additional guideline step cost €1,586. On patient level, cost-effectiveness was slightly likely after six months (cost per additional quitter: €7,126), but not after twelve months. The cost-utility analysis revealed slight cost-effectiveness (cost per QALY gained: €18,431) on patient level. CONCLUSION: Providing practice nurses with a tailored e-learning program is cost-effective to improve their smoking cessation counseling. Though, cost-effectiveness on patient level was not found after twelve months, potentially resulting from smoking relapse. PRACTICE IMPLICATIONS: Widespread implementation of the e-learning program can improve the quality of smoking cessation care in general practice. Strategies to prevent patients' smoking relapse should be further explored to improve patients' long-term abstinence.

A novel patient decision aid for aftercare in breast cancer patients: A promising tool to reduce costs by individualizing aftercare.

OBJECTIVE: A patient decision aid (PtDA), was developed to support breast cancer patients making choices about their aftercare. The aim of this pilot was to test the effects of the PtDA on Shared Decision Making (SDM), Decision Evaluation (DES) in patients, consultation time, choice of aftercare and hospital costs. METHODS: A prospective before-and-after study including a control (no PtDA-usage) and experimental group (PtDA-usage during consultation) was conducted in six hospitals. Patients were offered a choice between intensive (face-to-face consultations) and less intensive (telephonic or on demand consultations) aftercare. All patients filled out three validated questionnaires (baseline (T0), directly after the consultation (T1), three months later (T2)), assessing demographics (T0), SDM(T1) and DES (T1, T2). Hospital costs and choice of aftercare were assessed from the patients' files (T2). Effect sizes ( ɳp2: 0.01 = small; 0.06 = medium; 0.14 = large; φ: 0.1 = small, 0.3 = medium, 0.5 = large) and p-values were calculated using both univariate and multivariate GLMs, a repeated measures GLM and chi-square-tests. RESULTS: A small improvement in SDM ( ɳp2 = 0.02) and an effect ( ɳp2 = 0.10) on DES was found in the experimental group. Significantly more PtDA-users (51% vs. 29%, φ = 0.22) chose less intensive aftercare, leading to a small reduction of hospital costs (122 vs. 92 Euro, ɳp2 = 0.01), and a large increase in average consultation time (12.5 min; ɳp2 = 0.29). CONCLUSION: This pilot study showed promising effects of the PtDA on SDM and hospital costs. The PtDA can be developed further to potentially reduce the increased consultation time.

The Effectiveness of a Computer-Tailored E-Learning Program for Practice Nurses to Improve Their Adherence to Smoking Cessation Counseling Guidelines: Randomized Controlled Trial.

BACKGROUND: Improving practice nurses' (PN) adherence to smoking cessation counseling guidelines will benefit the quality of smoking cessation care and will potentially lead to higher smoking abstinence rates. However, support programs to aid PNs in improving their guideline uptake and adherence do not exist yet. OBJECTIVE: The aim of this study was to assess the effects of a novel computer-tailored electronic learning (e-learning) program on PNs' smoking cessation guideline adherence. METHODS: A Web-based randomized controlled trial (RCT) was conducted in which an intervention group (N=147) with full access to the e-learning program for 6 months was compared with a control group (N=122) without access. Data collection was fully automated at baseline and 6-month follow-up via online questionnaires, assessing PNs' demographics, work-related factors, potential behavioral predictors based on the I-Change model, and guideline adherence. PNs also completed counseling checklists to retrieve self-reported counseling activities for each consultation with a smoker (N=1175). To assess the program's effectiveness in improving PNs' guideline adherence (ie, overall adherence and adherence to individual counseling guideline steps), mixed linear and logistic regression analyses were conducted, thus accommodating for the smokers being nested within PNs. Potential effect moderation by work-related factors and behavioral predictors was also examined. RESULTS: After 6 months, 121 PNs in the intervention group (82.3%, 121/147) and 103 in the control group (84.4%, 103/122) completed the follow-up questionnaire. Mixed linear regression analysis revealed that counseling experience moderated the program's effect on PNs' overall guideline adherence (beta=.589; 95% CI 0.111-1.068; PHolm-Bonferroni =.048), indicating a positive program effect on adherence for PNs with a more than average level of counseling experience. Mixed logistic regression analyses regarding adherence to individual guideline steps revealed a trend toward moderating effects of baseline levels of behavioral predictors and counseling experience. More specifically, for PNs with less favorable scores on behavioral predictors (eg, low baseline self-efficacy) and high levels of counseling experience, the program significantly increased adherence. CONCLUSIONS: Results from our RCT showed that among PNs with more than average counseling experience, the e-learning program resulted in significantly better smoking cessation guideline adherence. Experienced PNs might have been better able to translate the content of our e-learning program into practically applicable counseling strategies compared with less experienced colleagues. Less favorable baseline levels of behavioral predictors among PNs possibly contributed to this effect, as there was more room for improvement by consulting the tailored content of the e-learning program. To further substantiate the effectiveness of e-learning programs on guideline adherence by health care professionals (HCPs), it is important to assess how to support a wider range of HCPs. TRIAL REGISTRATION: Netherlands Trial Register NTR4436; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4436 (Archived by WebCite at http://www.webcitation.org/6zJQuSRq0).