Iman Elfeddali

Preventing Smoking Relapse via Web-Based Computer-Tailored Feedback: A Randomized Controlled Trial

Background Web-based computer-tailored approaches have the potential to be successful in supporting smoking cessation. However, the potential effects of such approaches for relapse prevention and the value of incorporating action planning strategies to effectively prevent smoking relapse have not been fully explored. The Stay Quit for You (SQ4U) study compared two Web-based computer-tailored smoking relapse prevention programs with different types of planning strategies versus a control group. Objectives To assess the efficacy of two Web-based computer-tailored programs in preventing smoking relapse compared with a control group. The action planning (AP) program provided tailored feedback at baseline and invited respondents to do 6 preparatory and coping planning assignments (the first 3 assignments prior to quit date and the final 3 assignments after quit date). The action planning plus (AP+) program was an extended version of the AP program that also provided tailored feedback at 11 time points after the quit attempt. Respondents in the control group only filled out questionnaires. The study also assessed possible dose–response relationships between abstinence and adherence to the programs. Methods The study was a randomized controlled trial with three conditions: the control group, the AP program, and the AP+ program. Respondents were daily smokers (N = 2031), aged 18 to 65 years, who were motivated and willing to quit smoking within 1 month. The primary outcome was self-reported continued abstinence 12 months after baseline. Logistic regression analyses were conducted using three samples: (1) all respondents as randomly assigned, (2) a modified sample that excluded respondents who did not make a quit attempt in conformance with the program protocol, and (3) a minimum dose sample that also excluded respondents who did not adhere to at least one of the intervention elements. Observed case analyses and conservative analyses were conducted. Results In the observed case analysis of the randomized sample, abstinence rates were 22% (45/202) in the control group versus 33% (63/190) in the AP program and 31% (53/174) in the AP+ program. The AP program (odds ratio 1.95, P = .005) and the AP+ program (odds ratio 1.61, P = .049) were significantly more effective than the control condition. Abstinence rates and effects differed per sample. Finally, the results suggest a dose–response relationship between abstinence and the number of program elements completed by the respondents. Conclusion Despite the differences in results caused by the variation in our analysis approaches, we can conclude that Web-based computer-tailored programs combined with planning strategy assignments and feedback after the quit attempt can be effective in preventing relapse 12 months after baseline. However, adherence to the intervention seems critical for effectiveness. Finally, our results also suggest that more research is needed to assess the optimum intervention dose. Trial Registration Dutch Trial Register: NTR1892; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1892 (Archived by WebCite at http://www.webcitation.org/693S6uuPM)

The role of self-efficacy, recovery self-efficacy, and preparatory planning in predicting short-term smoking relapse

OBJECTIVES This study aims to identify the role of self-efficacy, recovery self-efficacy, and preparatory planning with regard to short-term smoking relapse. We also assessed whether the importance of these variables differed for smokers quitting individually and without help (self-quitters) and smokers quitting with the help of a smoking cessation course (group quitters). DESIGN A longitudinal quasi-experimental study with follow-ups at 1 and 3 months after the quit attempt was conducted in order to assess the role of baseline self-efficacy, recovery self-efficacy, and preparatory planning on short-term relapse. METHODS The recruitment included adult daily smokers (N= 121), quitting in a smoking cessation course (N= 57) and self-quitters (N= 64). Respondents received internet-based questionnaires 2 weeks before quitting (baseline) and 1 and 3 months after the quit attempt. Predictors of relapse were analysed using logistic regression analyses. RESULTS Relapse at 1 and 3 months after the quit attempt was predicted by low levels of baseline self-efficacy. Simple slope analyses revealed that less preparatory planning significantly predicted relapse at 1 month after the quit attempt among group quitters, but not among self-quitters. Recovery self-efficacy was only predictive of relapse after 1 month when self-efficacy was excluded from the analyses. Moreover, among group quitters, the results indicated a borderline significant curved relation between recovery self-efficacy and relapse after 1 month. CONCLUSIONS Our results suggest that more research is needed on the role of preparatory planning and recovery self-efficacy. Moreover, we recommend incorporating self-efficacy increasing techniques in relapse-prevention interventions.

Randomised controlled trial of a psychiatric consultation model for treatment of common mental disorder in the occupational health setting

BackgroundCommon mental disorders are the most prevalent of all mental disorders, with the highest burden in terms of work absenteeism and utilization of health care services. Evidence-based treatments are available, but recognition and treatment could be improved, especially in the occupational health setting. The situation in this setting has recently changed in the Netherlands because of new legislation, which has resulted in reduced sickness absence. Severe mental disorder has now become one of the main causes of work absenteeism. Occupational physicians (OPs) are expected to take an active role in diagnosis and treatment, and seem to be in need of support for a new approach to handle cases of more complex mental disorders. Psychiatric consultation can be a collaborative care model to achieve this.Methods/designThis is a two-armed cluster-randomized clinical trial, with randomization among OPs. Forty OPs in two big companies providing medical care for multiple companies will be randomized to either the intervention group, i.e. psychiatric consultation embedded in a training programme, or the control group, i.e. only training aimed at recognition and providing Care As Usual. 60 patients will be included who have been absent from work for 6–52 weeks and who, after screening and a MINI interview, are diagnosed with depressive disorder, anxiety disorder or somatoform disorder based on DSM-IV criteria. Baseline measurements and follow up measurements (at 3 months and 6 months) will be assessed with questionnaires and an interview. The primary outcome measure is level of general functioning according to the SF-20. Secondary measures are severity of the mental disorder according to the PHQ and the SCL-90, quality of life (EQ-D5), measures of Return To Work and cost-effectiveness of the treatment assessed with the TiC-P. Process measures will be adherence to the treatment plan and assessment of the treatment provided by the Psychiatric Consultant (PC) in both groups.DiscussionIn the current study, a psychiatric consultation model that has already proved to be effective in the primary care setting, and aimed to enhance evidence-based care for patients with work absenteeism and common mental disorder will be evaluated for its efficacy and cost-effectiveness in the occupational health setting.

Towards horizon 2020: challenges and advances for clinical mental health research - outcome of an expert survey

Background The size and increasing burden of disease due to mental disorders in Europe poses substantial challenges to its population and to the health policy of the European Union. This warrants a specific research agenda concerning clinical mental health research as one of the cornerstones of sustainable mental health research and health policy in Europe. The aim of this research was to identify the top priorities needed to address the main challenges in clinical research for mental disorders. Methods The research was conducted as an expert survey and expert panel discussion during a scientific workshop. Results Eighty-nine experts in clinical research and representing most European countries participated in this survey. Identified top priorities were the need for new intervention studies, understanding the diagnostic and therapeutic implications of mechanisms of disease, and research in the field of somatic-psychiatric comorbidity. The “subjectivity gap” between basic neuroscience research and clinical reality for patients with mental disorders is considered the main challenge in psychiatric research, suggesting that a shift in research paradigms is required. Conclusion Innovations in clinical mental health research should bridge the gap between mechanisms underlying novel therapeutic interventions and the patient experience of mental disorder and, if present, somatic comorbidity. Clinical mental health research is relatively underfunded and should receive specific attention in Horizon 2020 funding programs.

A randomized controlled trial of web-based attentional bias modification to help smokers quit

OBJECTIVE To assess the efficacy of a multiple-sessions Web-based Attentional Bias Modification (ABM) self-help intervention in 434 smokers who made a quit-attempt. METHOD Respondents were randomized to receive 6 sessions of ABM- or placebo-training in a period of 2 weeks. Smoking-related cognitions (e.g., self-efficacy and intention to quit) and cognitive biases (i.e., attentional and approach bias) for smoking-cues were assessed before training (pretest). Primary outcome-variable was continued abstinence, 6 months after baseline. Bias reduction at the posttraining assessment was the secondary outcome. A 2 × 2 mixed analysis of variance (ANOVA) and logistic regression analyses were conducted using the whole sample (N = 434) as well as subsamples of light to moderate smokers (<15 cigarettes, N = 115) and heavy smokers (15 or more cigarettes, N = 319). Conservative analyses (coding drop-outs as smokers) as well as complete case analyses were conducted. RESULTS The ABM training had no significant effect regarding bias reduction and no behavioral effects in the whole sample of smokers. Subsample analyses revealed a significant positive effect on continued abstinence in heavy smokers only (complete case analyses: odds ratio [OR] = 3.15; p = .02; confidence interval [CI] = 1.24-7.99; conservative analyses: OR = 2.49; p = .02; CI = 1.13-5.48). CONCLUSION Web-based ABM training is ineffective in fostering cognitive bias reduction and continued smoking abstinence. However, the positive effects in heavy smokers-as indicated by exploratory subsample analyses-warrant further research into the potential of multiple sessions ABM training to foster continued smoking abstinence in heavy smokers who make a quit-attempt. (PsycINFO Database Record

Factors underlying smoking relapse prevention: results of an international Delphi study

No definitive picture of the factors determining smoking relapse exists, and many smoking relapse prevention programmes have only modest behavioural effects. This study aims to identify the level of consensus among and compare the opinions of two groups of experts (researchers and coaches who provide smoking cessation courses) regarding factors already studied in relation to smoking relapse, factors that have not yet been addressed and ideas on how to improve prevention programmes. A three-round Delphi method was employed. In the first round, 15 researchers completed an electronic questionnaire on factors associated with relapse. The results were used to develop a structured questionnaire for the second round, which was completed by 47 researchers and 61 coaches. The second-round results were then presented to the same experts in the third round, enabling them to re-rate their answers. Results revealed high consensus on some factors already identified as predicting relapse (e.g. self-efficacy), new factors (e.g. action planning) and several methods to improve prevention programmes. Generally speaking, the researchers and coaches provided similar suggestions. The results paint a picture of the current state of knowledge on relapse-related factors and point the way to areas for further research.

SQ4U — A computer tailored smoking relapse prevention program incorporating planning strategy assignments and multiple feedback time points after the quit-attempt: Development and design protocol ☆

BACKGROUND The SQ4U (Stay Quit for You)-study aims to test the efficacy of two computer tailored smoking relapse prevention programs which incorporate planning strategy assignments and provide tailored feedback at multiple time points after the quit-attempt. The programs differ in the support provided after the quit-attempt. This paper aims to describe the development and design of SQ4U. METHODS/DESIGN SQ4U-respondents were daily smokers in the 18-65 years age group, who were motivated to quit smoking and willing to make a quit-attempt within 1 month of registration. The study is a randomized controlled trial with three conditions: 1. Control group, 2. Action planning (AP) program, 3. Action planning plus (AP+) program. Respondents in the control group only filled out questionnaires. The AP program consisted of computer tailored baseline feedback based on the I-Change Model and six planning strategy assignments. The AP+ program provided the same program elements as the AP program, but was extended with tailored feedback at eleven time points after the quit-attempt. The feedback targeted (recovery) self-efficacy, planning and negative affect. There were two follow-up measurements at 6 and 12 months after baseline. User experiences and the efficacy of the programs in fostering seven-day point prevalence and continued abstinence were examined using a process evaluation and logistic regression analyses. DISCUSSION The present paper outlines the development and design of the SQ4U-study. This study has the potential to provide a new effective computer tailored smoking relapse prevention program as well as insight into effective smoking relapse prevention strategies.

Horizon 2020 priorities in clinical mental health research: results of a consensus-based ROAMER expert survey.

Within the ROAMER project, which aims to provide a Roadmap for Mental Health Research in Europe, a two-stage Delphi survey among 86 European experts was conducted in order to identify research priorities in clinical mental health research. Expert consensus existed with regard to the importance of three challenges in the field of clinical mental health research: (1) the development of new, safe and effective interventions for mental disorders; (2) understanding the mechanisms of disease in order to be able to develop such new interventions; and (3) defining outcomes (an improved set of outcomes, including alternative outcomes) to use for clinical mental health research evaluation. Proposed actions involved increasing the utilization of tailored approaches (personalized medicine), developing blended eHealth/mHealth decision aids/guidance tools that help the clinician to choose between various treatment modalities, developing specific treatments in order to better target comorbidity and (further) development of biological, psychological and psychopharmacological interventions. The experts indicated that addressing these priorities will result in increased efficacy and impact across Europe; with a high probability of success, given that Europe has important strengths, such as skilled academics and a long research history. Finally, the experts stressed the importance of creating funding and coordinated networking as essential action needed in order to target the variety of challenges in clinical mental health research.

Changing fit and fat bias using an implicit retraining task

Objective: To change implicit and explicit bias so that active obese people are regarded as more fit and normal weight sedentary people as less fit. Design: Study one created a questionnaire that measured perceptions of active obese persons and sedentary normal weight persons on fitness-related items. Study two used a modified visual probe task to retrain perceptions regarding active obese persons and sedentary normal weight persons. Main outcome measures: Self-reported explicit bias was measured with a questionnaire and implicit bias was measured with response times collected during a visual probe task. Results: The questionnaire reliably measured ‘fitness and fatness’ perceptions. In study two, pairing images of active obese persons with positive activity-related words resulted in active obese persons being explicitly rated more fit; pairing images of normal weight sedentary persons with negative words associated with sedentary lifestyles increased endorsement of normal weight people as unfit. There were no changes in implicit bias. Conclusions: Bias regarding how body weight is thought of relative to fitness can be altered by pairing images of obese persons being active with words such as ‘health’ and ‘fit’. This is evidence that representations of persons of all body weight should be used when promoting physical activity.

Situational and affective risk situations of relapse and the quality of implementation intentions in an e-health smoking relapse prevention programme.

The quality of coping plans made to deal with personal smoking related risk situations and the relation between plan quality (PQ) and continued smoking abstinence (CA) were assessed. The respondents (N = 563) were smokers who had made a coping planning assignment in the experimental conditions of a larger randomized controlled trial. Descriptive and logistic regression analyses were conducted. The specificity of the plans made was related to short and long-term CA and was significantly lower for plans made to deal with situational situations. More research on how to foster specificity and target the difficulties that quitters have with specifying plans for affective situations is required.