An expert system intervention for smoking cessation

Factor Structure of the Smoking Temptation Scale: Cross-Validation in Iranian Men

Background

The transtheoretical model (TTM) is used as a framework to implement smoking cessation programs. This model has some subscales based on which the smoking temptation scale is proposed as stages movement factor. This study aimed to translate and validate the temptation subscales of the TTM questionnaire in the Iranian population.

Methods

This cross-sectional study was conducted on 387 smokers. The participants were selected using convenience sampling method. First, the smoking temptation scale designed by Velicer et al. was translated into Persian, and then, factorial validity of the hierarchical three-factor structure for this subscale was studied using factor analysis and measurement invariance (MI) methods. All analyses were performed using Mplus software.

Findings

It was observed that the hierarchical three-factor structure model had a good fit to the data [confirmatory fit index (CFI) = 0.944, Tucker-Lewis index (TLI) = 0.915, Root Mean Square Error of Approximation (RMSEA) = 0.067, standardized root mean square residual (SRMR) = 0.042]. This study showed that this factorial structure had an identical measurement and structural model in subgroups of the population such as rural and urban residence, highly educated and low educated, high income and low income, three stages of quitting, and across the three ethnicities.

Conclusion

Given the validity and reliability of the hierarchical three-factor structure for smoking temptation scale, this measure can be used in interventional programs for smoking cessation in the Iranian male population.

Longitudinal analysis of intervention effects on temptations and stages of change for dietary fat using parallel process latent growth modeling

The Dietary Guidelines for Americans recommend a 20-35 percent daily intake of fat. Resisting the temptation to eat high-fat foods, in conjunction with stage of readiness to avoid these foods, has been shown to influence healthy behavior change. Data ( N = 6516) from three randomized controlled trials were pooled to examine the relationships among direct intervention effects on temptations and stage of change for limiting high-fat foods. Findings demonstrate separate simultaneous growth processes in which baseline level of temptations, but not the rate of change in temptations, was significantly related to the change in readiness to avoid high-fat foods.

Print-based self-help interventions for smoking cessation

BACKGROUND

Many smokers give up smoking on their own, but materials that provide a structured programme for smokers to follow may increase the number who quit successfully.

OBJECTIVES

The aims of this review were to determine the effectiveness of different forms of print-based self-help materials that provide a structured programme for smokers to follow, compared with no treatment and with other minimal contact strategies, and to determine the comparative effectiveness of different components and characteristics of print-based self-help, such as computer-generated feedback, additional materials, tailoring of materials to individuals, and targeting of materials at specific groups.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Trials Register, ClinicalTrials.gov, and the International Clinical Trials Registry Platform (ICTRP). The date of the most recent search was March 2018.

SELECTION CRITERIA

We included randomised trials of smoking cessation with follow-up of at least six months, where at least one arm tested print-based materials providing self-help compared with minimal print-based self-help (such as a short leaflet) or a lower-intensity control. We defined 'self-help' as structured programming for smokers trying to quit without intensive contact with a therapist.

DATA COLLECTION AND ANALYSIS

We extracted data in accordance with standard methodological procedures set out by Cochrane. The main outcome measure was abstinence from smoking after at least six months' follow-up in people smoking at baseline. We used the most rigorous definition of abstinence in each study and biochemically validated rates when available. Where appropriate, we performed meta-analysis using a random-effects model.

MAIN RESULTS

We identified 75 studies that met our inclusion criteria. Many study reports did not include sufficient detail to allow judgement of risk of bias for some domains. We judged 30 studies (40%) to be at high risk of bias for one or more domains.Thirty-five studies evaluated the effects of standard, non-tailored self-help materials. Eleven studies compared self-help materials alone with no intervention and found a small effect in favour of the intervention (n = 13,241; risk ratio (RR) 1.19, 95% confidence interval (CI) 1.03 to 1.37; I² = 0%). We judged the evidence to be of moderate certainty in accordance with GRADE, downgraded for indirect relevance to populations in low- and middle-income countries because evidence for this comparison came from studies conducted solely in high-income countries and there is reason to believe the intervention might work differently in low- and middle-income countries. This analysis excluded two studies by the same author team with strongly positive outcomes that were clear outliers and introduced significant heterogeneity. Six further studies of structured self-help compared with brief leaflets did not show evidence of an effect of self-help materials on smoking cessation (n = 7023; RR 0.87, 95% CI 0.71 to 1.07; I² = 21%). We found evidence of benefit from standard self-help materials when there was brief contact that did not include smoking cessation advice (4 studies; n = 2822; RR 1.39, 95% CI 1.03 to 1.88; I² = 0%), but not when self-help was provided as an adjunct to face-to-face smoking cessation advice for all participants (11 studies; n = 5365; RR 0.99, 95% CI 0.76 to 1.28; I² = 32%).Thirty-two studies tested materials tailored for the characteristics of individual smokers, with controls receiving no materials, or stage-matched or non-tailored materials. Most of these studies used more than one mailing. Pooling studies that compared tailored self-help with no self-help, either on its own or compared with advice, or as an adjunct to advice, showed a benefit of providing tailored self-help interventions (12 studies; n = 19,190; RR 1.34, 95% CI 1.20 to 1.49; I² = 0%) with little evidence of difference between subgroups (10 studies compared tailored with no materials, n = 14,359; RR 1.34, 95% CI 1.19 to 1.51; I² = 0%; two studies compared tailored materials with brief advice, n = 2992; RR 1.13, 95% CI 0.86 to 1.49; I² = 0%; and two studies evaluated tailored materials as an adjunct to brief advice, n = 1839; RR 1.72, 95% CI 1.17 to 2.53; I² = 10%). When studies compared tailored self-help with non-tailored self-help, results favoured tailored interventions when the tailored interventions involved more mailings than the non-tailored interventions (9 studies; n = 14,166; RR 1.42, 95% CI 1.20 to 1.68; I² = 0%), but not when the two conditions were contact-matched (10 studies; n = 11,024; RR 1.07, 95% CI 0.89 to 1.30; I² = 50%). We judged the evidence to be of moderate certainty in accordance with GRADE, downgraded for risk of bias.Five studies evaluated self-help materials as an adjunct to nicotine replacement therapy; pooling three of these provided no evidence of additional benefit (n = 1769; RR 1.05, 95% CI 0.86 to 1.30; I² = 0%). Four studies evaluating additional written materials favoured the intervention, but the lower confidence interval crossed the line of no effect (RR 1.20, 95% CI 0.91 to 1.58; I² = 73%). A small number of other studies did not detect benefit from using targeted materials, or find differences between different self-help programmes.

AUTHORS' CONCLUSIONS

Moderate-certainty evidence shows that when no other support is available, written self-help materials help more people to stop smoking than no intervention. When people receive advice from a health professional or are using nicotine replacement therapy, there is no evidence that self-help materials add to their effect. However, small benefits cannot be excluded. Moderate-certainty evidence shows that self-help materials that use data from participants to tailor the nature of the advice or support given are more effective than no intervention. However, when tailored self-help materials, which typically involve repeated assessment and mailing, were compared with untailored materials delivered similarly, there was no evidence of benefit.Available evidence tested self-help interventions in high-income countries, where more intensive support is often available. Further research is needed to investigate effects of these interventions in low- and middle-income countries, where more intensive support may not be available.

Control Engineering Methods for the Design of Robust Behavioral Treatments

In this paper, a robust control approach is used to address the problem of adaptive behavioral treatment design. Human behavior (e.g., smoking and exercise) and reactions to treatment are complex and depend on many unmeasurable external stimuli, some of which are unknown. Thus, it is crucial to model human behavior over many subject responses. We propose a simple (low order) uncertain affine model subject to uncertainties whose response covers the most probable behavioral responses. The proposed model contains two different types of uncertainties: uncertainty of the dynamics and external perturbations that patients face in their daily life. Once the uncertain model is defined, we demonstrate how least absolute shrinkage and selection operator (lasso) can be used as an identification tool. The lasso algorithm provides a way to directly estimate a model subject to sparse perturbations. With this estimated model, a robust control algorithm is developed, where one relies on the special structure of the uncertainty to develop efficient optimization algorithms. This paper concludes by using the proposed algorithm in a numerical experiment that simulates treatment for the urge to smoke.

Results of the PAS Study: A Randomized Controlled Trial Evaluating the Effectiveness of a Web-Based Multiple Tailored Smoking Cessation Program Combined With Tailored Counseling by Practice Nurses

This study investigated the effects of Web-based multiple computer tailoring and counseling by a practice nurse (MTC) compared with computer tailoring without counseling (MT) and usual care (UC) on smoking cessation rates, via a randomized controlled trial with 414 Dutch adult smokers, recruited by 91 practice nurses from May 2009 to June 2010. Logistic multilevel regression analyses were conducted with 24-hour point prevalence, 7-day point prevalence, and prolonged abstinence after 6 and 12 months as dependent variables and experimental condition as the independent variable. After 6 and 12 months, 38% and 56% of respondents were followed up, respectively. At both follow-ups, no main effects of the interventions could be identified when comparing them with care as usual and with each other-neither in analyses using available data nor in analyses using a negative scenario in which respondents lost to follow-up were considered to still be smoking. A Web-based multiple computer-tailored smoking cessation program combined with a single face-to-face counseling session by a practice nurse may not be more effective than this computer-tailored program alone or than usual smoking cessation care in the general practice setting. Yet before concluding that the addition of counseling to Web-based computer tailoring cannot be successful, more research needs to be conducted to identify the optimal number of counseling sessions to be combined with the Web-based program and to how to best attune the two modalities.

Development of Personalized Health Messages to Promote Engagement in Advance Care Planning

OBJECTIVES

To develop and test the acceptability of personalized intervention materials to promote advance care planning (ACP) based on the Transtheoretical Model (TTM), in which readiness to change is a critical organizing construct.

DESIGN

Development study creating an expert system delivering TTM-personalized feedback reports and stage-matched brochures with more-general information on ACP and modifications based on participant reviews.

SETTING

Senior centers.

PARTICIPANTS

Community-living persons aged 65 and older (N = 77).

MEASUREMENTS

Participant ratings of length, attractiveness, and trustworthiness of and reactions to reports and brochures.

RESULTS

The expert system assessed participants' readiness to engage in each of four ACP behaviors: completion of a living will, naming a health care proxy, communication with loved ones about quality vs quantity of life, and communication with clinicians about quality vs quantity of life. The system also assessed pros and cons of engagement and values and beliefs that influence engagement. The system provided individualized feedback based on the assessment, with brochures providing additional general information. Initial participant review indicating unacceptable length led to revision of feedback reports from full-sentence paragraph format to bulleted format. After review, the majority of participants rated the materials as easy to read, trustworthy, providing new information, making them more comfortable reading about ACP, and increasing interest in participating in ACP.

CONCLUSION

Older adults found an expert system individualized feedback report and accompanying brochure to promote ACP engagement to highly acceptable and engaging. Additional research is necessary to examine the effects of these materials on behavior change.

Commitment language and homework completion in a behavioral employment program for gang-affiliated youth

Research with substance-abusing samples suggests that eliciting commitment language during treatment may improve motivation to change, increase treatment engagement, and promote positive treatment outcomes. However, the relationship between in-session client language and treatment success is not well-understood for youth offender populations. This study evaluated the relationship between commitment language, treatment engagement (i.e., homework completion), and weekly employment outcomes for six gang-affiliated juvenile offenders participating in an employment counseling intervention. Weekly counseling sessions were audio-recorded, transcribed, and coded for commitment language strength. Multilevel models were fit to the data to examine the relationship between commitment language and counseling homework or employment outcomes within participants over time. Commitment language strength predicted subsequent homework completion but not weekly employment. These findings imply that gang-affiliated delinquent youth who express motivation to change during employment counseling will be more likely to comply with counselor-initiated homework. Further research on counselor techniques for promoting commitment language among juvenile gang offenders is needed.

Print-based self-help interventions for smoking cessation

BACKGROUND

Many smokers give up smoking on their own, but materials giving advice and information may help them and increase the number who quit successfully.

OBJECTIVES

The aims of this review were to determine: the effectiveness of different forms of print-based self-help materials, compared with no treatment and with other minimal contact strategies; the effectiveness of adjuncts to print-based self help, such as computer-generated feedback, telephone hotlines and pharmacotherapy; and the effectiveness of approaches tailored to the individual compared with non-tailored materials.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group trials register. Date of the most recent search April 2014.

SELECTION CRITERIA

We included randomized trials of smoking cessation with follow-up of at least six months, where at least one arm tested a print-based self-help intervention. We defined self help as structured programming for smokers trying to quit without intensive contact with a therapist.

DATA COLLECTION AND ANALYSIS

We extracted data in duplicate on the participants, the nature of the self-help materials, the amount of face-to-face contact given to intervention and to control conditions, outcome measures, method of randomization, and completeness of follow-up.The main outcome measure was abstinence from smoking after at least six months follow-up in people smoking at baseline. We used the most rigorous definition of abstinence in each trial, and biochemically validated rates when available. Where appropriate, we performed meta-analysis using a fixed-effect model.

MAIN RESULTS

We identified 74 trials which met the inclusion criteria. Many study reports did not include sufficient detail to judge risk of bias for some domains. Twenty-eight studies (38%) were judged at high risk of bias for one or more domains but the overall risk of bias across all included studies was judged to be moderate, and unlikely to alter the conclusions.Thirty-four trials evaluated the effect of standard, non-tailored self-help materials. Pooling 11 of these trials in which there was no face-to-face contact and provision of structured self-help materials was compared to no intervention gave an estimate of benefit that just reached statistical significance (n = 13,241, risk ratio [RR] 1.19, 95% confidence interval [CI] 1.04 to 1.37). This analysis excluded two trials with strongly positive outcomes that introduced significant heterogeneity. Six further trials without face-to-face contact in which the control group received alternative written materials did not show evidence for an effect of the smoking self-help materials (n = 7023, RR 0.88, 95% CI 0.74 to 1.04). When these two subgroups were pooled, there was no longer evidence for a benefit of standard structured materials (n = 20,264, RR 1.06, 95% CI 0.95 to 1.18). We failed to find evidence of benefit from providing standard self-help materials when there was brief contact with all participants (5 trials, n = 3866, RR 1.17, 95% CI 0.96 to 1.42), or face-to-face advice for all participants (11 trials, n = 5365, RR 0.97, 95% CI 0.80 to 1.18).Thirty-one trials offered materials tailored for the characteristics of individual smokers, with controls receiving either no materials, or stage matched or non-tailored materials. Most of the trials used more than one mailing. Pooling these showed a benefit of tailored materials (n = 40,890, RR 1.28, 95% CI 1.18 to 1.37) with moderate heterogeneity (I² = 32%). The evidence is strongest for the subgroup of nine trials in which tailored materials were compared to no intervention (n = 13,437, RR 1.35, 95% CI 1.19 to 1.53), but also supports tailored materials as more helpful than standard materials. Part of this effect could be due to the additional contact or assessment required to obtain individual data, since the subgroup of 10 trials where the number of contacts was matched did not detect an effect (n = 11,024, RR 1.06, 95% CI 0.94 to 1.20). In two trials including a direct comparison between tailored materials and brief advice from a health care provider, there was no evidence of a difference, but confidence intervals were wide (n = 2992, RR 1.13, 95% CI 0.86 to 1.49).Only four studies evaluated self-help materials as an adjunct to nicotine replacement therapy, with no evidence of additional benefit (n = 2291, RR 1.05, 95% CI 0.88 to 1.25). A small number of other trials failed to detect benefits from using additional materials or targeted materials, or to find differences between different self-help programmes.

AUTHORS' CONCLUSIONS

Standard, print-based self-help materials increase quit rates compared to no intervention, but the effect is likely to be small. We did not find evidence that they have an additional benefit when used alongside other interventions such as advice from a healthcare professional, or nicotine replacement therapy. There is evidence that materials that are tailored for individual smokers are more effective than non-tailored materials, although the absolute size of effect is still small. Available evidence tested self-help interventions in high income countries; further research is needed to investigate their effect in contexts where more intensive support is not available.

Share2Quit: Web-Based Peer-Driven Referrals for Smoking Cessation

Background

Smoking is the number one preventable cause of death in the United States. Effective Web-assisted tobacco interventions are often underutilized and require new and innovative engagement approaches. Web-based peer-driven chain referrals successfully used outside health care have the potential for increasing the reach of Internet interventions.

Objective

The objective of our study was to describe the protocol for the development and testing of proactive Web-based chain-referral tools for increasing the access to Decide2Quit.org, a Web-assisted tobacco intervention system.

Methods

We will build and refine proactive chain-referral tools, including email and Facebook referrals. In addition, we will implement respondent-driven sampling (RDS), a controlled chain-referral sampling technique designed to remove inherent biases in chain referrals and obtain a representative sample. We will begin our chain referrals with an initial recruitment of former and current smokers as seeds (initial participants) who will be trained to refer current smokers from their social network using the developed tools. In turn, these newly referred smokers will also be provided the tools to refer other smokers from their social networks. We will model predictors of referral success using sample weights from the RDS to estimate the success of the system in the targeted population.

Results

This protocol describes the evaluation of proactive Web-based chain-referral tools, which can be used in tobacco interventions to increase the access to hard-to-reach populations, for promoting smoking cessation.

Conclusions

Share2Quit represents an innovative advancement by capitalizing on naturally occurring technology trends to recruit smokers to Web-assisted tobacco interventions.

Baseline transtheoretical and dietary behavioral predictors of dietary fat moderation over 12 and 24 months

Longitudinal predictors of dietary behavior change are important and in need of study. This secondary data analysis combined primary data across three randomized trials to examine transtheoretical model (TTM) and specific dietary predictors of successful dietary change at 12 and 24 months separately in treatment and control groups (N = 4178). The treatment group received three TTM-tailored print interventions over 12 months between 1995 and 2000. Chi-square and MANOVA analyses were used to examine baseline predictors of dietary outcome at 12 and 24 months. Last, a multivariable logistic regression was conducted with all baseline variables included. Across all analyses in both treatment and control groups, the most robust predictors of successful change were for TTM-tailored treatment group, preparation stage of change, and increased use of dietary behavior variables such as moderating fat intake, substitution of lower fat foods, and increasing intake of healthful foods. These results provide strong evidence for treatment, stage and behavioral dietary severity effects predicting dietary behavior change over time, and for targeting these variables with the strongest relationships to outcome in interventions, such as TTM-tailored dietary interventions.

Who participates in Web-assisted tobacco interventions? The QUIT-PRIMO and National Dental Practice-Based Research Network Hi-Quit studies

INTRODUCTION

Smoking is the most preventable cause of death. Although effective, Web-assisted tobacco interventions are underutilized and recruitment is challenging. Understanding who participates in Web-assisted tobacco interventions may help in improving recruitment.

OBJECTIVES

To understand characteristics of smokers participating in a Web-assisted tobacco intervention (Decide2Quit.org).

METHODS

In addition to the typical Google advertisements, we expanded Decide2Quit.org recruitment to include referrals from medical and dental providers. We assessed how the expanded recruitment of smokers changed the users' characteristics, including comparison with a population-based sample of smokers from the national Behavioral Risk Factors Surveillance Survey (BRFSS). Using a negative binomial regression, we compared demographic and smoking characteristics by recruitment source, in particular readiness to quit and association with subsequent Decide2Quit.org use.

RESULTS

The Decide2Quit.org cohort included 605 smokers; the 2010 BRFSS dataset included 69,992. Compared to BRFSS smokers, a higher proportion of Decide2Quit.org smokers were female (65.2% vs 45.7%, P=.001), over age 35 (80.8% vs 67.0%, P=.001), and had some college or were college graduates (65.7% vs 45.9%, P=.001). Demographic and smoking characteristics varied by recruitment; for example, a lower proportion of medical- (22.1%) and dental-referred (18.9%) smokers had set a quit date or had already quit than Google smokers (40.1%, P<.001). Medical- and dental-referred smokers were less likely to use Decide2Quit.org functions; in adjusted analysis, Google smokers (predicted count 17.04, 95% CI 14.97-19.11) had higher predicted counts of Web page visits than medical-referred (predicted count 12.73, 95% CI 11.42-14.04) and dental-referred (predicted count 11.97, 95% CI 10.13-13.82) smokers, and were more likely to contact tobacco treatment specialists.

CONCLUSIONS

Recruitment from clinical practices complimented Google recruitment attracting smokers less motivated to quit and less experienced with Web-assisted tobacco interventions.

Determinants of practice nurses' intention to implement a new smoking cessation intervention: the importance of attitude and innovation characteristics

AIMS

To identify determinants of practice nurses' intention to implement a new smoking cessation intervention and to investigate the independent value of attitude and Rogers' innovation characteristics.

BACKGROUND

While effective smoking cessation interventions exist, implementation is often suboptimal. No previous studies have disentangled the independent value of beliefs towards implementation and innovation characteristics in explaining implementation.

DESIGN

A cross-sectional descriptive study.

METHODS

In 2010, 56 of 91 general practice nurses who participated in an intervention effectiveness trial completed an online questionnaire concerning demographics, patient population characteristics, attitude, innovation characteristics, self-efficacy, perceived social influence and intention to implement the intervention in the future. Recruitment success during the trial was defined as the number of patients participating. To detect differences between intending and non-intending practice nurses, independent sample t-tests and Chi-squared tests were conducted. Correlation coefficients were calculated to identify associations between potential determinants of intention. To identify significant determinants logistic hierarchical regression analyses were conducted.

RESULTS

Innovation characteristics and attitude were both significantly associated with practice nurses' intention to implement. While recruitment success showed a significant positive association with intention, perceived patient support was only a significant determinant when including innovation characteristics or attitude.

CONCLUSION

To increase new interventions' implementation rates, it is most important to convince health professionals of its beneficial characteristics, to generate a positive attitude towards the intervention, to aid practice nurses in recruiting smoking patients and to increase perceived patient support.

Transtheoretical model-based passive smoking prevention programme among pregnant women and mothers of young children

BACKGROUND

We evaluated the effectiveness of a transtheoretical model (TTM)-based passive smoking prevention programme developed to enhance passive smoking avoidance among pregnant women and women with young children in Taiwan.

METHODS

Subjects were pregnant women recruited from the obstetrics/gynaecology department and women with children younger than age 3 recruited from the paediatrics department of four hospitals in Taiwan. Participants were randomly assigned to a group receiving a TTM-based intervention programme or a comparison group receiving routine care. The intervention programme consisted of educational materials and phone counselling. Baseline assessment and post-test data were collected from both groups using a self-reported questionnaire developed based on stages of change related to readiness for passive smoking avoidance.

RESULTS

Determinants of change, post-test scores of knowledge, experiential and behavioural processes and self-efficacy were significantly different between the intervention group and comparison group among both pregnant women and mothers. Among pregnant women, the intervention group had significantly higher post-test scores than the comparison group. The distribution of percentages in three stages of change (Precontemplation, Contemplation/Preparation and Action/Maintenance) was significantly different between the two groups among both pregnant women and mothers. However, a higher percentage of mothers made progress in stages of change compared with pregnant women.

CONCLUSION

A TTM-based intervention programme was potentially effective in passive smoking prevention by improving knowledge, experiential and behavioural processes and self-efficacy among pregnant women and women with young children. A higher percentage of mothers with young children had progressed in stages of change post-intervention compared with pregnant women.

Comparing strategies to assess multiple behavior change in behavioral intervention studies

BACKGROUND

Alternatives to individual behavior change methods have been proposed, however, little has been done to investigate how these methods compare.

PURPOSE

To explore four methods that quantify change in multiple risk behaviors targeting four common behaviors.

METHODS

We utilized data from two cluster-randomized, multiple behavior change trials conducted in two settings: small businesses and health centers. Methods used were: (1) summative; (2) z-score; (3) optimal linear combination; and (4) impact score.

RESULTS

In the Small Business study, methods 2 and 3 revealed similar outcomes. However, physical activity did not contribute to method 3. In the Health Centers study, similar results were found with each of the methods. Multivitamin intake contributed significantly more to each of the summary measures than other behaviors.

CONCLUSIONS

Selection of methods to assess multiple behavior change in intervention trials must consider study design, and the targeted population when determining the appropriate method/s to use.

Evaluation of a real-time virtual intervention to empower persons living with HIV to use therapy self-management: study protocol for an online randomized controlled trial

BACKGROUND

Living with HIV makes considerable demands on a person in terms of self-management, especially as regards adherence to treatment and coping with adverse side-effects. The online HIV Treatment, Virtual Nursing Assistance and Education (Virus de I'immunodéficience Humaine-Traitement Assistance Virtuelle Infirmière et Enseignement; VIH-TAVIE™) intervention was developed to provide persons living with HIV (PLHIV) with personalized follow-up and real-time support in managing their medication intake on a daily basis. An online randomized controlled trial (RCT) will be conducted to evaluate the efficacy of this intervention primarily in optimizing adherence to combination anti-retroviral therapy (ART) among PLHIV.

METHODS/DESIGN

A convenience sample of 232 PLHIV will be split evenly and randomly between an experimental group that will use the web application, and a control group that will be handed a list of websites of interest. Participants must be aged 18 years or older, have been on ART for at least 6 months, and have internet access. The intervention is composed of four interactive computer sessions of 20 to 30 minutes hosted by a virtual nurse who engages the PLHIV in a skills-learning process aimed at improving self-management of medication intake. Adherence constitutes the principal outcome, and is defined as the intake of at least 95% of the prescribed tablets. The following intermediary measures will be assessed: self-efficacy and attitude towards antiretroviral medication, symptom-related discomfort, and emotional support. There will be three measurement times: baseline (T0), after 3 months (T3) and 6 months (T6) of baseline measurement. The principal analyses will focus on comparing the two groups in terms of treatment adherence at the end of follow-up at T6. An intention-to-treat (ITT) analysis will be carried out to evaluate the true value of the intervention in a real context.

DISCUSSION

Carrying out this online RCT poses various challenges in terms of recruitment, ethics, and data collection, including participant follow-up over an extended period. Collaboration between researchers from clinical disciplines (nursing, medicine), and experts in behavioral sciences information technology and media will be crucial to the development of innovative solutions to supplying and delivering health services.

TRIAL REGISTRATION

CE 11.184 / NCT 01510340.

Results of a transtheoretical model-based alcohol, tobacco and other drug intervention in middle schools

BACKGROUND

Early use of alcohol, tobacco, and other drugs threatens the physical and mental well-being of students and continued use negatively affects many areas of development. An internet-based, tailored intervention based on the Transtheoretical Model of Behavior Change was delivered to middle school students to reduce alcohol, tobacco, and other drug use. This internet-based approach requires very little faculty and staff time, which is efficient given curricular demands.

METHODS

Twenty-two middle schools in the United States were matched and randomly assigned to either the intervention or control conditions (N=1590 students who had ever used substances). Participants received one pre-test assessment, three thirty-minute intervention sessions over three months, and two post-test assessments (3 and 14 months after pre-test, respectively).

RESULTS

Random effects logistic models showed significant treatment effects for the intervention group when compared to the control group at the 3-month post-test.

CONCLUSIONS

This program has the potential to be applied as stand-alone practice or as part of more intensive interventions to promote substance use cessation.

Influence of recruitment strategy on the reach and effect of a web-based multiple tailored smoking cessation intervention among Dutch adult smokers

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 abstinence. Smokers recruited via general practices (N = 409) were significantly lower educated, less addicted, more motivated to quit smoking and to maintain non-smoking, more often female and more often suffering from cardiovascular or respiratory diseases than mass media respondents (N = 1154). They showed higher retention rates and were more likely to report a quit attempt (64.3 versus 50.7%) and abstinence (43.3 versus 33.1%). More respondents could be recruited via mass media, while general practices respondents showed higher retention rates and were more successful in quitting smoking, though these effects became non-significant when controlling for experimental condition and baseline differences. The choice for a particular recruitment strategy appeared to determine the number and type of smokers recruited and might consequently influence the intervention's potential public health impact.

Cluster subtypes appropriate for preventing postpartum smoking relapse

OBJECTIVE

While the majority of women quit smoking either before or during pregnancy, 60 to 80% relapse in the postpartum period. The objective of this research was to examine postpartum women who quit smoking during their pregnancies and to determine the predictive factors for relapse in the postpartum period by identifying different subgroups that predict risk of relapse.

METHOD

One hundred forty four postpartum women who were abstinent at the time of delivery were recruited. Data regarding the Acquisition Stage of Change, Decisional Balance and Situational Temptations to Smoke were assessed in the immediate postpartum period. Based on their intention to remain abstinent, 121 women identified in the acquisition-Precontemplation (aPC) group comprised the study sample. Smoking status was assessed again at 2 months postpartum.

RESULTS

A cluster analysis was performed to identify subgroups of the acquisition-Precontemplation (aPC) group. Four subgroups were identified and were labeled Most Protected, Ambivalent, Risk Denial, and High Risk. Logistic regression was performed to establish external validity of the clusters. The clusters and exclusive breastfeeding were the only statistically significant variables associated with relapse at 2 months postpartum.

CONCLUSIONS

The results confirmed the clusters identified in previous prevention research with both adolescents and postpartum women, The cluster profiles can serve to guide the development of a tailored intervention program.

Cluster subtypes within the precontemplation stage of change for sun protection behavior

The aim of this study is to identify replicable cluster subtypes within the precontemplation stage of change for sun protection. Secondary data analysis of baseline data from a sample of participants in a home-based expert system intervention was performed. Three random samples were selected from participants in the precontemplation stage (N = 570). Cluster analyses were performed using the scales of pros, cons, and self-efficacy. Interpretability of pattern, pseudo F-test, and dendograms were used to determine the number of clusters. A four-cluster solution replicated across subsamples. Significant differences between clusters on the nine processes of change and on behavioral measures were found. Cluster solutions were robust, interpretable and with good initial external validity. They replicated patterns found for other behaviors, demonstrating long-term predictability and providing basis for tailored interventions.

Development of an interactive, Web-delivered system to increase provider-patient engagement in smoking cessation

BACKGROUND

Patient self-management interventions for smoking cessation are effective but underused. Health care providers do not routinely refer smokers to these interventions.

OBJECTIVE

The objective of our study was to uncover barriers and facilitators to the use of an e-referral system that will be evaluated in a community-based randomized trial. The e-referral system will allow providers to refer smokers to an online smoking intervention during routine clinical care.

METHODS

We devised a four-step development and pilot testing process: (1) system conceptualization using Delphi to identify key functionalities that would overcome barriers in provider referrals for smoking cessation, (2) Web system programming using agile software development and best programming practices with usability refinement using think-aloud testing, (3) implementation planning using the nominal group technique for the effective integration of the system into the workflow of practices, and (4) pilot testing to identify practice recruitment and system-use barriers in real-world settings.

RESULTS

Our Delphi process (step 1) conceptualized three key e-referral functions: (1) Refer Your Smokers, allowing providers to e-refer patients at the point of care by entering their emails directly into the system, (2) practice reports, providing feedback regarding referrals and impact of smoking-cessation counseling, and (3) secure messaging, facilitating provider-patient communication. Usability testing (step 2) suggested the system was easy to use, but implementation planning (step 3) suggested several important approaches to encourage use (eg, proactive email cues to encourage practices to participate). Pilot testing (step 4) in 5 practices had limited success, with only 2 patients referred; we uncovered important recruitment and system-use barriers (eg, lack of study champion, training, and motivation, registration difficulties, and forgetting to refer).

CONCLUSIONS

Implementing a system to be used in a clinical setting is complex, as several issues can affect system use. In our ongoing large randomized trial, preliminary analysis with the first 50 practices using the system for 3 months demonstrated that our rigorous preimplementation evaluation helped us successfully identify and overcome these barriers before the main trial.

TRIAL

Clinicaltrials.gov NCT00797628; http://clinicaltrials.gov/ct2/show/NCT00797628 (Archived by WebCite at http://www.webcitation.org/61feCfjCy).

Cost effectiveness of interventions to promote screening for colorectal cancer: a randomized trial

Objectives

Screening for colorectal cancer is considered cost effective, but is underutilized in the U.S. Information on the efficiency of "tailored interventions" to promote colorectal cancer screening in primary care settings is limited. The paper reports the results of a cost effectiveness analysis that compared a survey-only control group to a Centers for Disease Control (CDC) web-based intervention (screen for life) and to a tailored interactive computer-based intervention.

Methods

A randomized controlled trial of people 50 and over, was conducted to test the interventions. The sample was 1224 partcipants 50-70 years of age, recruited from Kelsey-Seybold Clinic, a large multi-specialty clinic in Houston, Texas. Screening status was obtained by medical chart review after a 12-month follow-up period. An "intention to treat" analysis and micro costing from the patient and provider perspectives were used to estimate the costs and effects. Analysis of statistical uncertainty was conducted using nonparametric bootstrapping.

Results

The estimated cost of implementing the web-based intervention was $40 per person and the cost of the tailored intervention was $45 per person. The additional cost per person screened for the web-based intervention compared to no intervention was $2602 and the tailored intervention was no more effective than the web-based strategy.

Conclusions

The tailored intervention was less cost-effective than the web-based intervention for colorectal cancer screening promotion. The web-based intervention was less cost-effective than previous studies of in-reach colorectal cancer screening promotion. Researchers need to continue developing and evaluating the effectiveness and cost-effectiveness of interventions to increase colorectal cancer screening.

A Risk-based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health

This paper examines how control engineering and risk management techniques can be applied in the field of behavioral health through their use in the design and implementation of adaptive behavioral interventions. Adaptive interventions are gaining increasing acceptance as a means to improve prevention and treatment of chronic, relapsing disorders, such as abuse of alcohol, tobacco, and other drugs, mental illness, and obesity. A risk-based Model Predictive Control (MPC) algorithm is developed for a hypothetical intervention inspired by Fast Track, a real-life program whose long-term goal is the prevention of conduct disorders in at-risk children. The MPC-based algorithm decides on the appropriate frequency of counselor home visits, mentoring sessions, and the availability of after-school recreation activities by relying on a model that includes identifiable risks, their costs, and the cost/benefit assessment of mitigating actions. MPC is particularly suited for the problem because of its constraint-handling capabilities, and its ability to scale to interventions involving multiple tailoring variables. By systematically accounting for risks and adapting treatment components over time, an MPC approach as described in this paper can increase intervention effectiveness and adherence while reducing waste, resulting in advantages over conventional fixed treatment. A series of simulations are conducted under varying conditions to demonstrate the effectiveness of the algorithm.

Internet-based intervention for the treatment of online addiction for college students in China: a pilot study of the Healthy Online Self-helping Center

Internet addiction among college students has become a serious problem in China. This pilot study involved the development of an online expert system named Healthy Online Self-helping Center (HOSC) as an intervention tool to help those who wish to reduce online usage. The study also explored the effectiveness of HOSC for college students' Internet addiction behavior. Participants (N = 65) were recruited from a university in Beijing, and were randomly assigned to one of four conditions: using HOSC within a laboratory environment, using HOSC within a natural environment, using a noninteractive program, and a control group. All the participants were asked to answer questionnaires at the baseline and at the 1-month follow-up. The questionnaires included the participants' online hours per week, the legitimate ratio of Internet usage, online satisfaction, and the Young's Diagnostic Questionnaire. The results revealed that HOSC under both natural and laboratory environments could effectively reduce the participants' online hours per week as well as their Young's Diagnostic Questionnaire score, and improve online satisfaction at a 1-month follow-up. Participants using a noninteractive program also had similar results. The article concludes with a discussion of the limitations of the study, as well as the implications of the findings and future research directions.

Baseline stage, severity, and effort effects differentiate stable smokers from maintainers and relapsers

This cross-sectional study (N = 4,144) compared three longitudinal dynatypes (Maintainers, Relapsers, and Stable Smokers) of smokers on baseline demographics, stage, addiction severity, and transtheoretical model effort effect variables. There were significant small-to-medium-sized differences between the Stable Smokers and the other two groups on stage, severity, and effort effect variables in both treatment and control groups. There were few significant, very small differences on baseline effort variables between Maintainers and Relapsers in the control, but not the treatment group. The ability to identify Stable Smokers at baseline could permit enhanced tailored treatments that could improve population cessation rates.

Stage-based interventions for smoking cessation

BACKGROUND

The transtheoretical model is the most widely known of several stage-based theories of behaviour. It proposes that smokers move through a discrete series of motivational stages before they quit successfully. These are precontemplation (no thoughts of quitting), contemplation (thinking about quitting), preparation (planning to quit in the next 30 days), action (quitting successfully for up to six months), and maintenance (no smoking for more than six months). According to this influential model, interventions which help people to stop smoking should be tailored to their stage of readiness to quit, and are designed to move them forward through subsequent stages to eventual success. People in the preparation and action stages of quitting would require different types of support from those in precontemplation or contemplation.

OBJECTIVES

Our primary objective was to test the effectiveness of stage-based interventions in helping smokers to quit.

SEARCH STRATEGY

We searched the Cochrane Tobacco Addiction Group's specialised register for trials, using the terms ('stage* of change', 'transtheoretical model*', 'trans-theoretical model*, 'precaution adoption model*', 'health action model', 'processes of change questionnaire*', 'readiness to change', 'tailor*') and 'smoking' in the title or abstract, or as keywords. The latest search was in August 2010.

SELECTION CRITERIA

We included randomized controlled trials, which compared stage-based interventions with non-stage-based controls, with 'usual care' or with assessment only. We excluded trials which did not report a minimum follow-up period of six months from start of treatment, and those which measured stage of change but did not modify their intervention in the light of it.

DATA COLLECTION AND ANALYSIS

We extracted data in duplicate on the participants, the dose and duration of intervention, the outcome measures, the randomization procedure, concealment of allocation, and completeness of follow up.The main outcome was abstinence from smoking for at least six months. We used the most rigorous definition of abstinence, and preferred biochemically validated rates where reported. Where appropriate we performed meta-analysis to estimate a pooled risk ratio, using the Mantel-Haenszel fixed-effect model.

MAIN RESULTS

We found 41 trials (>33,000 participants) which met our inclusion criteria. Four trials, which directly compared the same intervention in stage-based and standard versions, found no clear advantage for the staging component. Stage-based versus standard self-help materials (two trials) gave a relative risk (RR) of 0.93 (95% CI 0.62 to 1.39). Stage-based versus standard counselling (two trials) gave a relative risk of 1.00 (95% CI 0.82 to 1.22). Six trials of stage-based self-help systems versus any standard self-help support demonstrated a benefit for the staged groups, with an RR of 1.27 (95% CI 1.01 to 1.59). Twelve trials comparing stage-based self help with 'usual care' or assessment-only gave an RR of 1.32 (95% CI 1.17 to 1.48). Thirteen trials of stage-based individual counselling versus any control condition gave an RR of 1.24 (95% CI 1.08 to 1.42). These findings are consistent with the proven effectiveness of these interventions in their non-stage-based versions. The evidence was unclear for telephone counselling, interactive computer programmes or training of doctors or lay supporters. This uncertainty may be due in part to smaller numbers of trials.

AUTHORS' CONCLUSIONS

Based on four trials using direct comparisons, stage-based self-help interventions (expert systems and/or tailored materials) and individual counselling were neither more nor less effective than their non-stage-based equivalents. Thirty-one trials of stage-based self help or counselling interventions versus any control condition demonstrated levels of effectiveness which were comparable with their non-stage-based counterparts. Providing these forms of practical support to those trying to quit appears to be more productive than not intervening. However, the additional value of adapting the intervention to the smoker's stage of change is uncertain. The evidence is not clear for other types of staged intervention, including telephone counselling, interactive computer programmes and training of physicians or lay supporters. The evidence does not support the restriction of quitting advice and encouragement only to those smokers perceived to be in the preparation and action stages.

A meta-analysis of computer-tailored interventions for health behavior change

OBJECTIVE

Computer-tailored interventions have become increasingly common for facilitating improvement in behaviors related to chronic disease and health promotion. A sufficient number of outcome studies from these interventions are now available to facilitate the quantitative analysis of effect sizes, permitting moderator analyses that were not possible with previous systematic reviews.

METHOD

The present study employs meta-analytic techniques to assess the mean effect for 88 computer-tailored interventions published between 1988 and 2009 focusing on four health behaviors: smoking cessation, physical activity, eating a healthy diet, and receiving regular mammography screening. Effect sizes were calculated using Hedges g. Study, tailoring, and demographic moderators were examined by analyzing between-group variance and meta-regression.

RESULTS

Clinically and statistically significant overall effect sizes were found across each of the four behaviors. While effect sizes decreased after intervention completion, dynamically tailored interventions were found to have increased efficacy over time as compared with tailored interventions based on one assessment only. Study effects did not differ across communication channels nor decline when up to three behaviors were identified for intervention simultaneously.

CONCLUSION

This study demonstrates that computer-tailored interventions have the potential to improve health behaviors and suggests strategies that may lead to greater effectiveness of these techniques.

Treatment of smokers with co-occurring disorders: emphasis on integration in mental health and addiction treatment settings

This article reviews the research on the treatment of cigarette smoking in individuals who have comorbid mental illnesses or non-nicotinic addictions. The prevalence of smoking in mentally ill and substance-abusing populations is presented, as well as reasons for this high prevalence. The historical role of cigarettes and tobacco in mental illness and addiction is reviewed to help the reader better understand the pervasiveness of smoking in these disorders and the relative absence of intervention efforts in mental heath and addiction treatment settings. The article then discusses the several reasons for integrating smoking treatment into mental health and addiction settings. The outcome research for adult and adolescent comorbid smokers is reviewed, and barriers to treatment are discussed. The review closes with a brief discussion of models of integration and thoughts about prevention.

An examination of mandated versus voluntary referral as a determinant of clinical outcome

A literature review was undertaken to examine evidence for the effectiveness of psychotherapy with mandated clients. The primary question addressed was whether or not clients mandated to therapy, whether by court order or by order of their employers, show poorer outcomes than clients who enter therapy voluntarily. To this end, research on client resistance and motivational readiness to change was reviewed. This was followed by an examination of research on the effectiveness of mandated treatment. The question of the potential influence of relationship factors such as the therapeutic alliance was also addressed. The literature review was followed by suggestions for future research on the effectiveness of treatment for clients with mandated or voluntary referral status.

Review of strategies to recruit smokers for smoking cessation: a population impact perspective

This paper reviews published articles describing several instruments used currently to "capture" the attention of smokers for quit-smoking interventions and emphasizes the distinction between the strategies used to reach eligible individuals and those used to recruit them for the proposed smoking cessation intervention. The search for articles was conducted using MEDLINE, PsychARTICLE, and LILACS. Key words for the search included recruitment, enrollment, reach, smoking cessation, quitline, and helpline mentioned in the abstracts and titles of the articles. Articles published in English, Portuguese, and Spanish through November 2006 that emphasized capture instruments related to different populations and specific interventions were included in this review. Twenty-nine studies met the inclusion criteria. Studies that used active and mixed strategies reached, on average, a smaller and less diverse possible number of eligible individuals and had greater participation proportions than those that used reactive strategies. Future studies are needed to evaluate the effectiveness of new associations between current interventions and reactive capture strategies, in view of the potential for increasing the population impact related to reactive capture.

Secondhand tobacco smoke in children with asthma: sources of and parental perceptions about exposure in children and parental readiness to change

BACKGROUND

Secondhand smoke triggers childhood asthma. Understanding sources of exposure, parental beliefs about exposure, and readiness to change that exposure are important for designing smoke exposure reduction interventions.

METHODS

As part of screening for a clinical trial of a smoke exposure reduction intervention, 519 smoke-exposed children 3 to 12 years old with asthma provided urine specimens for cotinine testing, and their primary caregivers completed questionnaires.

RESULTS

The urine cotinine to creatinine ratio (CCR) was lowest if neither the primary caregiver nor day-care provider smoked (mean CCR, 14.0; SD, 14.4), greater if either smoked (mean CCR, 22.2; SD, 21.3; and mean, CCR, 26.3; SD, 22.2, respectively), and greatest if both smoked (mean CCR, 39.6; SD, 27.5; p < 0.01). Parental perception of their child's exposure was weakly associated with the child's CCR (r(2) = 0.11, p < 0.001). Most parents (58.3%) reported that tobacco smoke exposure had small/no negative effect on their child's asthma. Substantial proportions of those for whom a specific exposure reduction action was relevant were classified as contemplating, preparing, or had recently taken action to reduce their child's exposure, including smoking cessation (61.3%), keeping the child out of smoke-exposed places (72.7%), and making the child's home (49.2%) and areas out of the home smoke free (66.9%).

CONCLUSIONS

Smoking by the primary caregiver and day-care provider are important sources of exposure for children with asthma. Parental assessment of their child's exposure is associated with biologically confirmed exposure but cannot be relied on to assess that exposure. Although the harm of smoke exposure was frequently underestimated, many parents appeared receptive to considering action to reduce their child's exposure.

TRIAL REGISTRATION

(Clinicaltrials.gov). Identifier: NCT00217958.

Methods of quantifying change in multiple risk factor interventions

OBJECTIVE

Risky behaviors such as smoking, alcohol abuse, physical inactivity, and poor diet are detrimental to health, costly, and often co-occur. Greater efforts are being targeted at changing multiple risk behaviors to more comprehensively address the health needs of individuals and populations. With increased interest in multiple risk factor interventions, the field will need ways to conceptualize the issue of overall behavior change.

METHOD

Analyzing data from over 8000 participants in four multibehavioral interventions, we present five different methods for quantifying and reporting changes in multiple risk behaviors.

RESULTS

The methods are: (a) the traditional approach of reporting changes in individual risk behaviors; (b) creating a combined statistical index of overall behavior change, standardizing scores across behaviors on different metrics; (c) using a behavioral index; (d) calculating an overall impact factor; and (e) using overarching outcome measures such as quality of life, related biometrics, or cost outcomes. We discuss the methods' interpretations, strengths, and limitations.

CONCLUSION

Given the lack of consensus in the field on how to examine change in multiple risk behaviors, we recommend researchers employ and compare multiple methods in their publications. A dialogue is needed to work toward developing a consensus for optimal ways of conceptualizing and reporting changes in multibehavioral interventions.

Transtheoretical model-based multiple behavior intervention for weight management: effectiveness on a population basis

BACKGROUND

The increasing prevalence of overweight and obesity underscores the need for evidence-based, easily disseminable interventions for weight management that can be delivered on a population basis. The Transtheoretical Model (TTM) offers a promising theoretical framework for multiple behavior weight management interventions.

METHODS

Overweight or obese adults (BMI 25-39.9; n=1277) were randomized to no-treatment control or home-based, stage-matched multiple behavior interventions for up to three behaviors related to weight management at 0, 3, 6, and 9 months. All participants were re-assessed at 6, 12, and 24 months.

RESULTS

Significant treatment effects were found for healthy eating (47.5% versus 34.3%), exercise (44.90% versus 38.10%), managing emotional distress (49.7% versus 30.30%), and untreated fruit and vegetable intake (48.5% versus 39.0%) progressing to Action/Maintenance at 24 months. The groups differed on weight lost at 24 months. Co-variation of behavior change occurred and was much more pronounced in the treatment group, where individuals progressing to Action/Maintenance for a single behavior were 2.5-5 times more likely to make progress on another behavior. The impact of the multiple behavior intervention was more than three times that of single behavior interventions.

CONCLUSIONS

This study demonstrates the ability of TTM-based tailored feedback to improve healthy eating, exercise, managing emotional distress, and weight on a population basis. The treatment produced a high level of population impact that future multiple behavior interventions can seek to surpass.

Transtheoretical principles and processes for quitting smoking: a 24-month comparison of a representative sample of quitters, relapsers, and non-quitters

This longitudinal study compared 14 principles and processes of change applied by successful quitters, relapsers and non-quitters over 24 months in a representative sample of 4144 smokers in intervention and control groups. The successful quitters showed a decrease in the use of experiential processes (cognitive, affective and effective) and an increase in behavioral processes (e.g., counter-conditioning and stimulus control). The non-quitters showed little change in their use of almost all of the processes. The relapsers' use of the processes tended to initially parallel the successful quitters, but over time, their use ended up between the quitters and the non-quitters. In general, the relapsers ended up working harder but not smarter than the successful quitters. The pattern of use of change processes in the treatment and control groups were remarkably similar, suggesting common pathways to change.

Variability of tailoring of a smoking cessation intervention based on the transtheoretical model

OBJECTIVE

This study examines smoking cessation intervention materials that are based on the transtheoretical model from a content-based perspective.

METHODS

Data of 2 population-based intervention studies with total N=1044 were used. Analyses compared how many unique intervention materials could be generated theoretically and how many unique intervention materials were needed empirically.

RESULTS

The intervention system was able to generate theoretically a total of 1040 unique intervention materials with normative feedback only, and almost half a million unique intervention materials with normative and ipsative feedback. This variability was needed empirically. For smokers in precontemplation, all possible intervention materials were used. For smokers in contemplation, preparation, action, and maintenance, intervention materials were hardly created more than once.

CONCLUSION

Using the transtheoretical model to create tailored intervention materials yields an enormous variability of tailoring. However, tailoring for precontemplation needs improvement. Additional tailoring variables for precontemplation could be long-term quitting plans, intention to reduce smoking, experiences with past behavior, or severity of nicotine dependence.

Addressing tobacco-related health disparities

AIMS

The aim of this review is to outline a transdisciplinary research framework for identifying, explaining and intervening to address tobacco-related health disparities (TRHD). We will show the importance of an approach that integrates the human life-cycle (developmental) and tobacco addiction cycle (behavioral) for interventions that address group-specific vulnerabilities.

METHODS

The existing empirical knowledge base on tobacco-related health disparities is mapped onto a conceptual framework built around life-cycle and addiction cycle trajectories for disparate population groups.

FINDINGS

Current knowledge about developmental trajectories of tobacco use is based on general population studies with minimal information on group differences. At the national level, early onset of tobacco use is associated with a high level of tobacco dependence, low number of quit attempts, long-term smoking history and tobacco-related health harm. These relationships cannot be assumed for all population groups: African Americans and Asian Americans typically have a later age of tobacco use onset compared to European Americans, yet health consequences of smoking are higher among African Americans but not Asian Americans. Even less is known about group differences in the temporal progression from smoking onset to daily smoking. Determining the time-frame from initial to regular smoking seems crucial for targeted secondary prevention, before the establishment of addictive tobacco use patterns. Group-specific data characterizing the duration from daily tobacco use to a quit attempt or request for cessation treatment are also scant.

CONCLUSIONS

A comprehensive, integrated, transdisciplinary framework is needed to guide efforts to understand tobacco-related health disparities and to increase the effectiveness of evidence-based interventions delivered in culturally appropriate and economically practicable ways, while optimizing the balance between demand for and access to services.

Internet methods for delivering behavioral and health-related interventions (eHealth)

Emerging communications technologies allow us to potentially reach more individuals with effective health-related advice and information at a very low cost. As we begin a new era of "personalized medicine," advances in consumer health informatics will parallel and eventually merge with those being made in bioinformatics (e.g., genomic information), medical informatics (e.g., electronic medical records), and public health informatics (e.g., disease surveillance). This article discusses access, use, quality, and types of eHealth programming with a focus on the Internet as the initial instantiation of this programming. Also discussed are criteria relevant to the dissemination of eHealth programming in real-world settings. Finally, possible directions for future eHealth research are presented.

Evaluation of an Internet virtual world chat room for adolescent smoking cessation

The goal of this longitudinal study was to test an innovative approach to smoking cessation that might be particularly attractive to adolescent smokers. The study was a participatory research effort between academic and school partners. The intervention used an Internet-based, virtual reality world combined with motivational interviewing conducted in real-time by a smoking cessation counselor. Participants were 136 adolescent smokers recruited from high schools randomized to the intervention or a measurement-only control condition. Those who participated in the program were significantly more likely than controls to report at the immediate post-intervention assessment that they had abstained from smoking during the past week (p<or=.01), smoked fewer days in the past week (p<or=.001), smoked fewer cigarettes in the past week (p<or=.01), and considered themselves a former smoke (p<or=.05). Only the number of times quit was statistically significant at a one-year follow-up assessment (p<or=.05). The lack of longer-term results is discussed, as are methodological challenges in conducting a cluster-randomized smoking cessation study.

Donation intentions among African American college students: decisional balance and self-efficacy measures

Although the need for transplantation among African Americans is high, their donation rates are disproportionately low. This study describes the development and validation of culturally adapted psychosocial measures, including Transtheoretical Model constructs, Stages of Change, Decisional Balance, and Self-efficacy, related to deceased organ and tissue donation for an African American college population. Exploratory and confirmatory analyses for Decisional Balance and Self-efficacy measures demonstrated factor structures similar to previous studies of other behavioral applications, indicated excellent model fit and showed good internal and external validity. This study developed brief measures with good psychometric properties for an emerging behavior change domain in a new population.

Population impact—Definition, calculation and its use in prevention science in the example of tobacco smoking reduction

INTRODUCTION

Population Impact is a criterion that can enhance prevention practices and provide a solid foundation for integrating policies and programs for prevention. However, to quantify the population impact of programs a statistical measure is needed. The objective of this article is to (a) deduct a formula to quantify population impact (PI), (b) define the formula for population impact of smoking prevention measures and (c) apply this formula on smoking prevention programs.

METHODS

Decision analytical approach.

RESULTS

The measurement of PI is defined with four parameters: recruitment, retention, efficacy and prevalence. A formula is mathematically deducted and the PI for different smoking prevention programs is calculated.

DISCUSSION

The formula supports decision makers in deciding what prevention measure shows a higher impact on the population, gives hints where to improve the measure to increase the impact, whether recruitment, retention or efficacy needs to be improved and makes it easy to do analyses of costs on the population level.

CONCLUSIONS

To enhance prevention practice prevention measures need to provide all parameters to calculate the PI, research needs to focus on all parameters influencing the PI and costs of prevention measures need to be provided.

Using engineering control principles to inform the design of adaptive interventions: a conceptual introduction

The goal of this paper is to describe the role that control engineering principles can play in developing and improving the efficacy of adaptive, time-varying interventions. It is demonstrated that adaptive interventions constitute a form of feedback control system in the context of behavioral health. Consequently, drawing from ideas in control engineering has the potential to significantly inform the analysis, design, and implementation of adaptive interventions, leading to improved adherence, better management of limited resources, a reduction of negative effects, and overall more effective interventions. This article illustrates how to express an adaptive intervention in control engineering terms, and how to use this framework in a computer simulation to investigate the anticipated impact of intervention design choices on efficacy. The potential benefits of operationalizing decision rules based on control engineering principles are particularly significant for adaptive interventions that involve multiple components or address co-morbidities, situations that pose significant challenges to conventional clinical practice.

Skalen zur Erfassung der Konstrukte des Transtheoretischen Modells zur Änderung des Rauchverhaltens

Zusammenfassung. Das Transtheoretische Modell der Verhaltensänderung (TTM) stellt eine verbreitete theoretische Basis für die Konzeption von bevölkerungsbezogenen und individualisierten Interventionen dar. Voraussetzung hierfür ist eine valide, reliable und ökonomische Erfassung der Konstrukte des TTM. Für die Implementation derartiger Interventionen stellt die hausärztliche Praxis einen viel versprechenden Zugangsweg dar. Aussagekräftige Daten zu psychometrischen Eigenschaften deutschsprachiger Kurzskalen aus genanntem Setting fehlen jedoch bisher. Im Rahmen der vorliegenden Studie wurden 1653 rauchende Patienten (Teilnahmerate 82%) aus 34 zufällig ausgewählten hausärztlichen Praxen (Teilnahmerate 87%) schriftlich befragt. Es erfolgte eine Prüfung der psychometrischen Eigenschaften der Skalen Entscheidungsbalance, Selbstwirksamkeitserwartung und Prozesse der Verhaltensänderung. Es konnte für alle Skalen die postulierte faktorielle Struktur bestätigt werden. Die Skalen zur Entscheidungsbalance und zur Selbstwirksamkeitserwartung wiesen bei der Reliabilität Mängel auf. Die vorliegenden Kurzskalen und Normdaten bilden eine empirische Basis für die Individualisierung von Interventionen zur Abstinenzförderung in der hausärztlichen Praxis. Einschränkungen und Weiterentwicklungsbedarf der Skalen werden diskutiert.

Smoking during pregnancy: where next for stage-based interventions?

Pregnancy is a 'window of opportunity' for encouraging positive behaviour change, such as quitting smoking. Associations have been shown between smoking stage of change and other health behaviour during pregnancy. For example, women in the precontemplative stage have poorer assessment of risks associated with smoking, feel less personally responsible for their unborn child's health and in turn are less likely to adopt health-promoting behaviour. Stage of change models are a popular tool within the health services, but the results of stage-based smoking cessation interventions are mixed. Identifying the crucial components of effective interventions is an important imperative for research in this area. This article reviews the literature to ascertain these components and makes recommendations for designing effective interventions.