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

Process and effect evaluation of a referral aid for smoking cessation counselling in primary care: Findings of a randomized controlled trial

INTRODUCTION

This study explored the use and effects of a smoking cessation referral in: 1) practice nurses (PNs), and 2) smokers. The use of evidence-based smoking cessation interventions (EBSCIs) can double the likelihood of a successful smoking cessation attempt. A referral aid was developed to aid Dutch PNs in primary care in deciding which smokers are the most suitable for EBSCI.

METHODS

Two different studies were conducted: 1) a randomized controlled trial with a process evaluation (n=82) and effect evaluation (n=285) among smoking patients recruited by PNs (n=73), and 2) a process evaluation among a subgroup of PNs (n=40) from January 2019 to September 2020.

RESULTS

Overall, the response in both groups was low. PNs found the referral aid materials clear and understandable. Smokers had similar but (slightly) less-positive opinions. The smokers in both groups did not differ in the amount of discussion and use of EBSCIs, nor on smoking abstinence.

CONCLUSIONS

Further research should assess how to better involve PNs and smokers when recruiting for an RCT and how to foster effective counselling. Additional research should also look deeper into barriers to referral of both PNs and smokers, and how to stimulate referral to EBSCIs best and help smokers to make a decision; for example by implementing a simplified strategy both within the primary care setting and outside, by involving other healthcare professionals or options outside healthcare such as the workplace and social domain.

Trial registration

The study was registered at the Netherlands Trial Register (NL7020, https://www.trialregister.nl/trial/7020).

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

Background

Smoking continues to be a driver of mortality. Various forms of evidence-based cessation assistance exist; however, their use is limited. The choice between them may also induce decisional conflict. Offering decision aids (DAs) may be beneficial; however, insights into their effective elements are lacking.

Objective

This study tested the added value of an effective element (ie, an “explicit value clarification method” paired with computer-tailored advice indicating the most fitting cessation assistance) of a web-based smoking cessation DA.

Methods

A web-based randomized controlled trial was conducted among smokers motivated to stop smoking within 6 months. The intervention group received a DA with the aforementioned elements, and the control group received the same DA without these elements. The primary outcome measure was 7-day point prevalence abstinence 6 months after baseline (time point 3 [t=3]). Secondary outcome measures were 7-day point prevalence of abstinence 1 month after baseline (time point 2 [t=2]), evidence-based cessation assistance use (t=2 and t=3), and decisional conflict (immediately after DA; time point 1). Logistic and linear regression analyses were performed to assess the outcomes. Analyses were conducted following 2 (decisional conflict) and 3 (smoking cessation) outcome scenarios: complete cases, worst-case scenario (assuming that dropouts still smoked), and multiple imputations. A priori sample size calculation indicated that 796 participants were needed. The participants were mainly recruited on the web (eg, social media). All the data were self-reported.

Results

Overall, 2375 participants were randomized (intervention n=1164, 49.01%), of whom 599 (25.22%; intervention n=275, 45.91%) completed the DAs, and 276 (11.62%; intervention n=143, 51.81%), 97 (4.08%; intervention n=54, 55.67%), and 103 (4.34%; intervention n=56, 54.37%) completed time point 1, t=2, and t=3, respectively. More participants stopped smoking in the intervention group (23/63, 37%) than in the control group (14/52, 27%) after 6 months; however, this was only statistically significant in the worst-case scenario (crude P=.02; adjusted P=.04). Effects on the secondary outcomes were only observed for smoking abstinence after 1 month (15/55, 27%, compared with 7/46, 15%, in the crude and adjusted models, respectively; P=.02) and for cessation assistance uptake after 1 month (26/56, 46% compared with 18/47, 38% only in the crude model; P=.04) and 6 months (38/61, 62% compared with 26/50, 52%; crude P=.01; adjusted P=.02) but only in the worst-case scenario. Nonuse attrition was 34.19% higher in the intervention group than in the control group (P<.001).

Conclusions

Currently, we cannot confidently recommend the inclusion of explicit value clarification methods and computer-tailored advice. However, they might result in higher nonuse attrition rates, thereby limiting their potential. As a lack of statistical power may have influenced the outcomes, we recommend replicating this study with some adaptations based on the lessons learned.

Trial Registration

Netherlands Trial Register NL8270; https://www.trialregister.nl/trial/8270

International Registered Report Identifier (IRRID)

RR2-10.2196/21772

The Usability of an Online Tool to Promote the Use of Evidence-Based Smoking Cessation Interventions

To increase usage of evidence-based smoking cessation interventions (EBSCIs) among smokers, an online decision aid (DA) was developed. The aims of this study were (1) to conduct a usability evaluation; (2) to conduct a program evaluation and evaluate decisional conflict after using the DA and (3) to determine the possible change in the intention to use EBSCIs before and directly after reviewing the DA. A cross-sectional study was carried out in September 2020 by recruiting smokers via the Internet (n = 497). Chi-squared tests and t-tests were conducted to test the differences between smokers who differed in the perceived usability of the DA on the program evaluation and in decisional conflict. The possible changes in intention to use EBSCIs during a cessation attempt before and after reviewing the DA were tested using t-tests, McNemar's test and χ2 analysis. The participants evaluated the usability of the DA as moderate (MU; n = 393, 79.1%) or good (GU; n = 104, 20.9%). GU smokers rated higher on all the elements of the program evaluation and experienced less decisional conflict, but also displayed a higher intention to quit. After reviewing the DA, the participants on average had a significantly higher intention to use more EBSCIs, in particular in the form of eHealth. Recommendations to make the DA more usable could include tailoring, using video-based information and including value clarification methods. Furthermore, a hybrid variant in which smokers can use the DA independently and with the guidance of a primary care professional could aid both groups in choosing a fitting EBSCI option.

Tailored Web-Based Smoking Interventions and Reduced Attrition: Systematic Review and Meta-Analysis

Background

The increasing number of internet users presents an opportunity to deliver health interventions to large populations. Despite their potential, many web-based interventions, including those for smoking cessation, face high rates of attrition. Further consideration of how intervention features impact attrition is needed.

Objective

The aim of this systematic review is to investigate whether tailored web-based smoking cessation interventions for smokers are associated with reduced rates of attrition compared with active or passive untailored web-based interventions. The outcomes of interest were dropout attrition at 1-, 3-, 6-, and 12-month follow-ups.

Methods

Literature searches were conducted in May 2018 and updated in May 2020 on MEDLINE (Medical Literature Analysis and Retrieval System Online), PsycINFO (Psychological Information), EMBASE (Excerpta Medica dataBASE), CINAHL (Cumulated Index to Nursing and Allied Health Literature), Scopus, and the Cochrane Tobacco Addiction Group Specialized Register with the following search terms: smoking cessation, tailored, or web- or internet-based. Included studies were published in English before or in May 2020 using a randomized controlled trial design. Studies were restricted to those with web-based delivery, a tailored intervention group, an untailored control group, and a reported outcome of smoking cessation. Studies were assessed for methodological quality using the Cochrane Risk of Bias tool. Two reviewers independently extracted the study characteristics and the number of participants lost to follow-up for each treatment group.

Results

A total of 13 studies were included in the systematic review, of which 11 (85%) were included in the meta-analysis. Tailoring had no statistically significant effect on dropout attrition at 1-month (risk ratio [RR]=1.02, 95% CI 0.95-1.09; P=.58; I²=78%), 3-month (RR=0.99, 95% CI 0.95-1.04; P=.80; I²=73%), 6-month (RR=1.00, 95% CI 0.95-1.05; P=.90; I²=43%), or 12-month (RR=0.97, 95% CI 0.92-1.02; P=.26; I²=28%) follow-ups. Subgroup analyses suggested that there was a statistically significant effect of tailoring between the active and passive subgroups at 1-month (P=.03), 3-month (P<.001), and 6-month (P=.02) follow-ups but not at 12-month follow-up (P=.25).

Conclusions

The results suggest that tailoring of web-based smoking cessation interventions may not be associated with reduced rates of dropout attrition at 1-, 3-, 6-, or 12-month follow-ups. Significant differences between studies that include untailored active and passive control groups suggest that the role of tailoring may be more prominent when studies include a passive control group. These findings may be because of variability in the presence of additional features, the definition of smokers used, and the duration of smoking abstinence measured. Future studies should incorporate active web-based controls, compare the impact of different tailoring strategies, and include populations outside of the Western countries.

Recruiting participants to an Internet-based eating disorder prevention trial: Impact of the recruitment strategy on symptom severity and program utilization

OBJECTIVE

Using data from a randomized controlled trial, we examined two different strategies to recruit participants for an indicated preventive intervention (StudentBodies-AN) for women at risk for anorexia nervosa and compared symptom severity and program utilization in participants recruited through each strategy.

METHOD

We recruited participants by announcing the study (a) in lectures at universities and handing out screening questionnaires (face-to-face recruitment) and (b) through different media channels, and the participants completed the screening questionnaire on our study website (media-based recruitment). We compared symptom severity and program utilization between the two groups.

RESULTS

A total of 4,646 women (face-to-face: 3,741, media-based: 905) were screened and 168 women (face-to-face: 114, media-based: 54) were randomized to the intervention. We found a statistically and clinically significant association between recruitment strategy and symptom severity: Participants who were recruited through media were more likely to fulfill the inclusion criteria (40.6% vs. 13.3%; p < .001) and endorsed significantly more frequently core behaviors and attitudes of disordered eating (EDE global score: 2.72 vs. 2.17, p < .05; Weight Concerns Scale [WCS] score: 66.05 vs. 56.40, p < .05) at baseline than participants recruited face-to-face. Also, participants recruited through media were more likely to log onto the program (χ² = 5.06; p = .029) and accessed more of the intervention.

DISCUSSION

Recruitment through media seems both more feasible and suitable to reach individuals in need of indicative prevention, and should be part of a multimodal recruitment package. Future studies should be explicitly designed to investigate the impact of recruitment modality on reach and effectiveness including cost-effectiveness analyses.

Dissemination of an Internet-Based Program for the Prevention and Early Intervention in Eating Disorders

Objective: Research on the dissemination of e-mental health interventions is in an early stage, so that little is known about the reach, costs, participant characteristics, and patterns of program utilization associated with different recruitment strategies and access paths. This study investigated differences between user groups informed about an Internet-based program for the prevention and early intervention in eating disorders via different recruitment channels. Method: Participant characteristics and user behavior of 3548 participants in the Internet-based program ProYouth were analyzed. Participants were informed about ProYouth via different channels (e. g., print materials, high school, Internet). Results: Results indicate significant relationships between access paths and both user characteristics and program utilization. Participants who were informed about ProYouth at their high schools were more likely to be male, younger, and at lower risk of developing eating disorders. In contrast, other recruitment channels (e. g., Internet, print materials) resulted in participants with significantly higher risk and symptom levels who used the program more frequently and with higher intensity. Conclusion: Efforts aimed at the dissemination of Internet-based interventions should consider the effects that different recruitment channels and access paths may have on sample composition and utilization of the intervention.

Subgroups Among Smokers in Preparation: A Cluster Analysis Using the I-Change Model

BACKGROUND

Investigating potential sub-stages of change could provide important information that could be used to improve the tailoring of smoking cessation interventions to individual smokers' profiles. Smokers in the preparation stage may be most interesting, as they are most likely to participate in smoking cessation interventions.

OBJECTIVE

To examine whether Dutch adult smokers in the preparation stage of change, i.e. motivated to quit smoking within one month, can be organized into subgroups.

METHODS

Data from 753 smokers who participated in an effectiveness trial of a web-based, computer-tailored smoking cessation programme were subjected to secondary analysis. Cluster analyses were based on respondents' baseline responses to items on pros and cons of quitting and quitting self-efficacy. Chi-squared tests and ANOVA were used to compare the baseline characteristics of the resulting clusters. Logistic and multinomial regression were used for longitudinal comparisons of clusters with respect to smoking abstinence and stage transition at six-week and six-month follow-ups.

RESULTS

Four clusters were identified; Classic, Unprepared, Progressing and Disengaged Preparers. Cross-sectional and longitudinal analyses validated these clusters: they differed with respect to the clustering variables, gender, cigarette dependence and educational level. Disengaged Preparers were less likely than Progressing Preparers to report smoking abstinence at six months (OR = 0.28; p < .05).

CONCLUSIONS

These results suggest that smoking cessation interventions tailored to the preparation stage of change, i.e. the set of cognitions usually present in preparers, are only appropriate for the subgroup we defined as Classic Preparers. The other clusters might need different interventions as they display different cognition sets.

Evaluation and Implementation of a Proactive Telephone Smoking Cessation Counseling for Parents: A Study Protocol of an Effectiveness Implementation Hybrid Design

Detrimental health consequences of smoking for both parents and children stress the importance for parents to quit. A Dutch efficacy trial supported the efficacy of proactive telephone counseling on parents. Still, how this program would function in "real world" conditions and how parents could be optimally reached is unclear. Therefore, this study will use an innovative method to examine the recruitment success of two implementation approaches (i.e., via a healthcare approach and a mass media approach) to test the (cost)effectiveness of the program. A two-arm randomized controlled trial and an implementation study (i.e., process evaluation) are conducted. Parents (N = 158) will be randomly assigned to the intervention (i.e., telephone counseling) or control conditions (i.e., self-help brochure). Primary outcome measure is 7-day point prevalence abstinence at three months post-intervention. Qualitative and quantitative research methods are used for the process evaluation. We expect that parents in the intervention condition have higher cessation rates than parents in the control condition. We also expect that the recruitment of parents via (youth) health care services is a more promising implementation approach compared to mass media. Results will have implications for the effectiveness of a proactive telephone counseling and provide directions for its successful implementation.

Internet-based interventions for smoking cessation

BACKGROUND

Tobacco use is estimated to kill 7 million people a year. Nicotine is highly addictive, but surveys indicate that almost 70% of US and UK smokers would like to stop smoking. Although many smokers attempt to give up on their own, advice from a health professional increases the chances of quitting. As of 2016 there were 3.5 billion Internet users worldwide, making the Internet a potential platform to help people quit smoking.

OBJECTIVES

To determine the effectiveness of Internet-based interventions for smoking cessation, whether intervention effectiveness is altered by tailoring or interactive features, and if there is a difference in effectiveness between adolescents, young adults, and adults.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, which included searches of MEDLINE, Embase and PsycINFO (through OVID). There were no restrictions placed on language, publication status or publication date. The most recent search was conducted in August 2016.

SELECTION CRITERIA

We included randomised controlled trials (RCTs). Participants were people who smoked, with no exclusions based on age, gender, ethnicity, language or health status. Any type of Internet intervention was eligible. The comparison condition could be a no-intervention control, a different Internet intervention, or a non-Internet intervention. To be included, studies must have measured smoking cessation at four weeks or longer.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed and extracted data. We extracted and, where appropriate, pooled smoking cessation outcomes of six-month follow-up or more, reporting short-term outcomes narratively where longer-term outcomes were not available. We reported study effects as a risk ratio (RR) with a 95% confidence interval (CI).We grouped studies according to whether they (1) compared an Internet intervention with a non-active control arm (e.g. printed self-help guides), (2) compared an Internet intervention with an active control arm (e.g. face-to-face counselling), (3) evaluated the addition of behavioural support to an Internet programme, or (4) compared one Internet intervention with another. Where appropriate we grouped studies by age.

MAIN RESULTS

We identified 67 RCTs, including data from over 110,000 participants. We pooled data from 35,969 participants.There were only four RCTs conducted in adolescence or young adults that were eligible for meta-analysis.Results for trials in adults: Eight trials compared a tailored and interactive Internet intervention to a non-active control. Pooled results demonstrated an effect in favour of the intervention (RR 1.15, 95% CI 1.01 to 1.30, n = 6786). However, statistical heterogeneity was high (I2 = 58%) and was unexplained, and the overall quality of evidence was low according to GRADE. Five trials compared an Internet intervention to an active control. The pooled effect estimate favoured the control group, but crossed the null (RR 0.92, 95% CI 0.78 to 1.09, n = 3806, I2 = 0%); GRADE quality rating was moderate. Five studies evaluated an Internet programme plus behavioural support compared to a non-active control (n = 2334). Pooled, these studies indicated a positive effect of the intervention (RR 1.69, 95% CI 1.30 to 2.18). Although statistical heterogeneity was substantial (I2 = 60%) and was unexplained, the GRADE rating was moderate. Four studies evaluated the Internet plus behavioural support compared to active control. None of the studies detected a difference between trial arms (RR 1.00, 95% CI 0.84 to 1.18, n = 2769, I2 = 0%); GRADE rating was moderate. Seven studies compared an interactive or tailored Internet intervention, or both, to an Internet intervention that was not tailored/interactive. Pooled results favoured the interactive or tailored programme, but the estimate crossed the null (RR 1.10, 95% CI 0.99 to 1.22, n = 14,623, I2 = 0%); GRADE rating was moderate. Three studies compared tailored with non-tailored Internet-based messages, compared to non-tailored messages. The tailored messages produced higher cessation rates compared to control, but the estimate was not precise (RR 1.17, 95% CI 0.97 to 1.41, n = 4040), and there was evidence of unexplained substantial statistical heterogeneity (I2 = 57%); GRADE rating was low.Results should be interpreted with caution as we judged some of the included studies to be at high risk of bias.

AUTHORS' CONCLUSIONS

The evidence from trials in adults suggests that interactive and tailored Internet-based interventions with or without additional behavioural support are moderately more effective than non-active controls at six months or longer, but there was no evidence that these interventions were better than other active smoking treatments. However some of the studies were at high risk of bias, and there was evidence of substantial statistical heterogeneity. Treatment effectiveness in younger people is unknown.

The Impact of Participant Characteristics on Use and Satisfaction of a Web-Based Computer-Tailored Chronic Obstructive Pulmonary Disease Self-Management Intervention: A Process Evaluation

BACKGROUND

A randomized controlled trial (RCT) showed that a Web-based computer-tailored self-management intervention for people with or at risk for chronic obstructive pulmonary disease (COPD) did not have a significant treatment effect. Process evaluation measures such as application use and satisfaction with the intervention can help understand these results.

OBJECTIVES

The aim of this paper is to uncover reasons for suboptimal application use, evaluate satisfaction with the intervention, and investigate which participant characteristics predict application use and user satisfaction.

METHODS

Participants were recruited through 2 different channels: an online panel and general practice. The intervention group received the intervention, which consisted of 2 modules (smoking cessation and physical activity). The control group received no intervention. The study employed a mixed methods design. Quantitative and qualitative data were gathered assessing participant characteristics, application use, reasons for not using the application, and satisfaction with the intervention.

RESULTS

The RCT included 1325 participants. The proportion of individuals who participated was significantly higher in the online group (4072/6844, 59.5%) compared to the general practice group (43/335, 12.8%) (P<.001). Application use was low. Of all participants in the intervention group, 52.9% (348/658) initiated use of one or both modules, 36.0% (237/658) completed an intervention component (prolonged use), and 16.6% (109/658) revisited one of the modules after completing an intervention component (sustained use). Older age, established diagnosis of COPD, or experiencing breathlessness predicted sustained use. Participant satisfaction with the 2 modules was 6.7 (SD 1.6) on a scale from 0 to 10. The interviews revealed that a computer application was believed not to be sufficient and the help of a health care professional was necessary. Participants with a greater intention to change were more satisfied with the application.

CONCLUSIONS

The application was not used sufficiently. Study materials should be further tailored to younger individuals, those at risk for COPD, and those who do not experience breathlessness in order to increase sustained use among them. Involvement of a health care professional could improve satisfaction with the intervention and potentially increase engagement with the intervention materials. However, to make this possible, recruitment in general practice needs to be improved. Recommendations are made for improving the study design, strengthening the intervention (eg, practice facilitation), and linking the computer application to interaction with a health care provider.

The Impact of Participant Characteristics on Use and Satisfaction of a Web-Based Computer-Tailored Chronic Obstructive Pulmonary Disease Self-Management Intervention: A Process Evaluation

BACKGROUND

A randomized controlled trial (RCT) showed that a Web-based computer-tailored self-management intervention for people with or at risk for chronic obstructive pulmonary disease (COPD) did not have a significant treatment effect. Process evaluation measures such as application use and satisfaction with the intervention can help understand these results.

OBJECTIVES

The aim of this paper is to uncover reasons for suboptimal application use, evaluate satisfaction with the intervention, and investigate which participant characteristics predict application use and user satisfaction.

METHODS

Participants were recruited through 2 different channels: an online panel and general practice. The intervention group received the intervention, which consisted of 2 modules (smoking cessation and physical activity). The control group received no intervention. The study employed a mixed methods design. Quantitative and qualitative data were gathered assessing participant characteristics, application use, reasons for not using the application, and satisfaction with the intervention.

RESULTS

The RCT included 1325 participants. The proportion of individuals who participated was significantly higher in the online group (4072/6844, 59.5%) compared to the general practice group (43/335, 12.8%) (P<.001). Application use was low. Of all participants in the intervention group, 52.9% (348/658) initiated use of one or both modules, 36.0% (237/658) completed an intervention component (prolonged use), and 16.6% (109/658) revisited one of the modules after completing an intervention component (sustained use). Older age, established diagnosis of COPD, or experiencing breathlessness predicted sustained use. Participant satisfaction with the 2 modules was 6.7 (SD 1.6) on a scale from 0 to 10. The interviews revealed that a computer application was believed not to be sufficient and the help of a health care professional was necessary. Participants with a greater intention to change were more satisfied with the application.

CONCLUSIONS

The application was not used sufficiently. Study materials should be further tailored to younger individuals, those at risk for COPD, and those who do not experience breathlessness in order to increase sustained use among them. Involvement of a health care professional could improve satisfaction with the intervention and potentially increase engagement with the intervention materials. However, to make this possible, recruitment in general practice needs to be improved. Recommendations are made for improving the study design, strengthening the intervention (eg, practice facilitation), and linking the computer application to interaction with a health care provider.

Effectiveness and Cost-effectiveness of School-based Dissemination Strategies of an Internet-based Program for the Prevention and Early Intervention in Eating Disorders: A Randomized Trial

Only little is known about costs and effects (i.e., success) of dissemination strategies, although cost-effective dissemination strategies are crucial for the transfer of interventions into routine care. This study investigates the effects and cost-effectiveness of five school-based dissemination strategies for an Internet-based intervention for the prevention and early intervention of eating disorders. Three-hundred ninety-five schools were randomly assigned to one of five dissemination strategies. Strategies varied with respect to intensity from only sending advertisement materials and asking the school to distribute them among students to organizing presentations and workshops at schools. Effects were defined as the number of page visits, the number of screenings conducted, and the number of registrations to the Internet-based intervention. More expensive strategies proved to be more cost-effective. Cost per page visit ranged from 2.83€ (introductory presentation plus workshop) to 20.37€ (dissemination by student representatives/peers). Costs per screening ranged from 3.30€ (introductory presentation plus workshop) to 75.66€ (dissemination by student representatives/peers), and costs per registration ranged from 6.86€ (introductory presentation plus workshop) to 431.10€ (advertisement materials only). Dissemination of an Internet-based intervention for prevention and early intervention is challenging and expensive. More intense, expensive strategies with personal contact proved to be more cost-effective. The combination of an introductory presentation on eating disorders and a workshop in the high school was most effective and had the best cost-effectiveness ratio. The sole distribution of advertisement materials attracted hardly any participants to the Internet-based program.

Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions

This paper is one in a series developed through a process of expert consensus to provide an overview of questions of current importance in research into engagement with digital behavior change interventions, identifying guidance based on research to date and priority topics for future research. The first part of this paper critically reflects on current approaches to conceptualizing and measuring engagement. Next, issues relevant to promoting effective engagement are discussed, including how best to tailor to individual needs and combine digital and human support. A key conclusion with regard to conceptualizing engagement is that it is important to understand the relationship between engagement with the digital intervention and the desired behavior change. This paper argues that it may be more valuable to establish and promote "effective engagement," rather than simply more engagement, with "effective engagement" defined empirically as sufficient engagement with the intervention to achieve intended outcomes. Appraisal of the value and limitations of methods of assessing different aspects of engagement highlights the need to identify valid and efficient combinations of measures to develop and test multidimensional models of engagement. The final section of the paper reflects on how interventions can be designed to fit the user and their specific needs and context. Despite many unresolved questions posed by novel and rapidly changing technologies, there is widespread consensus that successful intervention design demands a user-centered and iterative approach to development, using mixed methods and in-depth qualitative research to progressively refine the intervention to meet user requirements.

Choice of smoking cessation counselling via phone, text, or email in emergency department patients

Globally, tobacco smoke is the leading cause of preventable deaths. Smoking cessation counselling services are widely available in Canada. In British Columbia, our government-funded smoking cessation service offers counselling via phone, text, or email. In this study, we sought to determine whether age, gender, or motivation to quit affect a patient's choice of service modality.

We included all adults ≥ 18 years who had used tobacco within 30 days prior to their Emergency Department (ED) visit and who chose to receive phone, text, or email counselling services from November 2011–February 2013 at Vancouver General Hospital as part of a randomized-controlled trial (ClinicalTrials.gov, NCT0145437). A one-way ANOVA was used to compare the mean age of patients in each group. Chi-squared tests of independence were used to determine if gender or motivation to quit were associated with modality selection.

In total, 368 patients were included. The average age was 41.7 years and 67% were female. In our study, 44% chose phone, 17% chose text, and 40% chose email services. The average age for patients preferring text services (mean = 33.6 years) was significantly lower than both the email (mean = 41.3 years) and phone (mean = 45.1 years) groups (p < 0.001). Gender and motivation to quit were not associated with service modality choice.

Over 80% of ED smokers who accepted a referral to counselling services chose the phone or email modality. The lesser chosen text modality was more popular with younger patients. With further research, smoking cessation counselling services can refine their programs to meet the needs of the population they serve.

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Many smoking cessation quit lines offer counselling by phone, text, or internet.

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> 80% of smokers in our study who accepted referral chose phone or internet counselling.

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The lesser chosen text referral modality was more popular with younger patients.

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Smoking cessation counselling services should work to meet their demographic's needs.

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Counselling services that text should know they may attract a younger population.

Development and preliminary evaluation of culturally specific web-based intervention for parents of adolescents

WHAT IS KNOWN ON THE SUBJECT?: Problematic parent-child relationships have been identified as one of the main predictors of adolescents' mental health problems, but there are few existing interventions that address this issue. The format and delivery method of existing interventions for parents are relatively inaccessible for parents with full-time jobs and families living in rural areas. WHAT DOES THIS PAPER ADD TO EXISTING KNOWLEDGE?: The newly developed 'Stepping Stone' culturally specific web-based intervention, which is intended to help Korean parents of adolescents to acquire both knowledge and communication and conflict management skills, was found to be feasible and well-accepted by parents. This study enabled us to identify areas for improvement in the content and format of the intervention and strategies. This will potentially increase effect sizes for the outcome variables of parents' perception and behaviours. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: This web-based intervention could be delivered across diverse settings, such as schools and community mental health centers, to increase parents' knowledge of adolescent's mental health and allow for early detection of mental health problems. Mental health nurses working in schools may spend a significant amount of time addressing students' mental health issues; thus, this web-based intervention could be a useful resource to share with parents and children. In this way, the mental health nurses could facilitate parental engagement in the intervention and then help them to continue to apply and practice the knowledge and skills obtained through the program.

ABSTRACT

Introduction There is a need for accessible, culturally specific web-based interventions to address parent-child relationships and adolescents' mental health. Aims This study developed and conducted a preliminary evaluation of a 4-week web-based intervention for parents of adolescents aged 11 to 16 years in Korea. Methods We used a two-group, repeated measures, quasi-experimental study design to assess the feasibility of developing and implementing a web-based intervention for parents. Descriptive statistics, chi-square and t tests, and mixed effect modeling were used for data analysis. Results The intervention and 1-month follow-up survey were completed by 47 parents in the intervention group and 46 parents in the attention control (AC) group. The intervention was found to be feasible and well-accepted by parents. Discussion This culturally specific web-based intervention is a useful tool for knowledge dissemination among large numbers of parents. Areas for improvement in the content and format of the intervention and strategies to elicit significant parent-child interactions are provided. Implications for practice and conclusion The intervention could be disseminated in collaboration with mental health nurses working in schools to facilitate parents' participation.

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.

Usage and effectiveness of a fully automated, open-access, Spanish Web-based smoking cessation program: randomized controlled trial

BACKGROUND

The Internet is an optimal setting to provide massive access to tobacco treatments. To evaluate open-access Web-based smoking cessation programs in a real-world setting, adherence and retention data should be taken into account as much as abstinence rate.

OBJECTIVE

The objective was to analyze the usage and effectiveness of a fully automated, open-access, Web-based smoking cessation program by comparing interactive versus noninteractive versions.

METHODS

Participants were randomly assigned either to the interactive or noninteractive version of the program, both with identical content divided into 4 interdependent modules. At baseline, we collected demographic, psychological, and smoking characteristics of the smokers self-enrolled in the Web-based program of Universidad Nacional de Educación a Distancia (National Distance Education University; UNED) in Madrid, Spain. The following questionnaires were administered: the anxiety and depression subscales from the Symptom Checklist-90-Revised, the 4-item Perceived Stress Scale, and the Heaviness of Smoking Index. At 3 months, we analyzed dropout rates, module completion, user satisfaction, follow-up response rate, and self-assessed smoking abstinence.

RESULTS

A total of 23,213 smokers were registered, 50.06% (11,620/23,213) women and 49.94% (11,593/23,213) men, with a mean age of 39.5 years (SD 10.3). Of these, 46.10% (10,701/23,213) were married and 34.43% (7992/23,213) were single, 46.03% (10,686/23,213) had university education, and 78.73% (18,275/23,213) were employed. Participants smoked an average of 19.4 cigarettes per day (SD 10.3). Of the 11,861 smokers randomly assigned to the interactive version, 2720 (22.93%) completed the first module, 1052 (8.87%) the second, 624 (5.26%) the third, and 355 (2.99%) the fourth. Completion data was not available for the noninteractive version (no way to record it automatically). The 3-month follow-up questionnaire was completed by 1085 of 23,213 enrolled smokers (4.67%). Among them, 406 (37.42%) self-reported not smoking. No difference between groups was found. Assuming missing respondents continued to smoke, the abstinence rate was 1.74% (406/23,213), in which 22,678 were missing respondents. Among follow-up respondents, completing the 4 modules of the intervention increased the chances of smoking cessation (OR 1.95, 95% CI 1.27-2.97, P<.001), as did smoking 30 minutes (OR 1.58, 95% CI 1.04-2.39, P=.003) or 1 hour after waking (OR 1.93, 95% CI 1.27-2.93, P<.001) compared to smoking within the first 5 minutes after waking.

CONCLUSIONS

The findings suggest that the UNED Web-based smoking cessation program was very accessible, but a high level of attrition was confirmed. This could be related to the ease of enrollment, its free character, and the absence of direct contact with professionals. It is concluded that, in practice, the greater the accessibility to the program, the lower the adherence and retention. Professional support from health services and the payment of a reimbursable fee could prevent high rates of attrition.

Exploring the "active ingredients" of an online smoking intervention: a randomized factorial trial

INTRODUCTION

Research needs to systematically identify which components increase online intervention effectiveness (i.e., active ingredients). This study explores the effects of 4 potentially important design features in an Internet-based, population-level smoking intervention.

METHODS

Smokers (n = 1,865) were recruited from a large health care organization, regardless of readiness to quit. Using a full factorial design, participants were randomized to 1 of the 2 levels of each experimental factor (message tone [prescriptive vs. motivational], navigation autonomy [dictated vs. not], e-mail reminders [yes vs. no], and receipt of personally tailored testimonials [yes vs. no]) and provided access to the online intervention. Primary outcomes were self-reported 7-day point-prevalent smoking abstinence and confirmed utilization of adjunct treatment (pharmacotherapy or phone counseling) available through the health plan at 1 year. Outcomes were also assessed at 2 and 6 months and were examined among all enrolled participants (intent-to-treat [ITT]) and all who viewed the intervention (modified ITT).

RESULTS

At 1 year, 13.7% were abstinent and 26.0% utilized adjunct treatment. None of the contrasting factor levels differentially influenced abstinence or treatment utilization at 12 months. In the modified ITT sample, smokers receiving testimonials were less likely to use adjunct treatment at 6 months (odds ratio = 0.54, 95% confidence interval = 0.30-0.98, p = .04).

CONCLUSIONS

None of the design features enhanced treatment outcome. The negative effect observed for testimonials is provocative, but it should be viewed with caution. This study offers a model for future research testing the "active ingredients" of online interventions.

'I bet I can do it!' - Reach and effectiveness of a television show about smoking cessation among low, moderate, and high educated smokers

INTRODUCTION

Smoking is in the Netherlands more prevalent among lower and moderate educated than among higher educated people. The entertainment-education television show 'I bet I can do it!' was specifically designed to stimulate smoking cessation among low and moderate educated smokers.

METHODS

The effect of the television show was evaluated with longitudinal data of the International Tobacco Control Policy Evaluation Project. Dutch smokers (n = 1,743) aged 15 years and older filled in a survey before and after the seven episodes of 'I bet I can do it!' in 2008.

RESULTS

Low educated (OR = 1,55, p = 0,048) and moderate educated respondents (OR = 1,99, p < 0,001) had seen the television show significantly more often than high educated respondents. The show was not significantly associated with self efficacy, quit intention, and quit success, but it was significantly associated with more quit attempts among moderate educated respondents (OR = 2,36, p < 0,001).

CONCLUSION

The reach of 'I bet I can do it!' and the effect on quit attempts was larger among moderate educated smokers. The entertainment-education strategy for smoking cessation television programs should be further refined. This can possible lead to a program that has positive effects on the quit intention, self efficacy, quit attempts and the quit success of low and moderate educated smokers.

How to encourage smokers to participate in web-based computer-tailored smoking cessation programs: a comparison of different recruitment strategies

The reach, retention and costs of four strategies aimed to recruit smokers for participation in a computer-tailored smoking cessation intervention was explored. The study was part of a randomized controlled trial whereby 832 respondents were randomized to three conditions. Smokers were invited by general practitioners (GPs), newspapers, Internet and other strategies (i.e. mailing organizations) to take part. ANOVA's/Chi-square tests explored sample differences. Logistic regression analyses investigated differences between the samples regarding retention and smoking behaviour. Smokers recruited via GPs (N = 144) had a lower educational level and suffered more from chronic obstructive pulmonary disease compared with respondents recruited via Internet (N = 307) (χ(2) = 11.554, df = 3, P = 0.009). Less motivated respondents recruited by GPs were more likely to return to study compared with the less motivated respondents recruited by 'other recruitment' strategies (χ(2) = 6.416, df = 3, P = 0.093). Highly addicted respondents recruited from newspapers (N = 213) were less likely to make a quit attempt compared with highly addicted respondents recruited by GPs (OR = 0.334, P = 0.035). Females from newspapers were less likely to remain abstinent compared with the GP sample (OR = 0.337, P = 0.005). Recruitment via GPs showed highest costs. Recruitment strategy influenced the type of smokers. Group differences were associated with different patterns of quitting.

Recruiting and engaging smokers in treatment in a primary care setting: developing a chronic care model implemented through a modified electronic health record

Almost 35 million U.S. smokers visit primary care clinics annually, creating a need and opportunity to identify such smokers and engage them in evidence-based smoking treatment. The purpose of this study is to examine the feasibility and effectiveness of a chronic care model of treating tobacco dependence when it is integrated into primary care systems using electronic health records (EHRs). The EHR prompted primary care clinic staff to invite patients who smoked to participate in a tobacco treatment program. Patients who accepted and were eligible were offered smoking reduction or cessation treatment. More than 65 % of smokers were invited to participate, and 12.4 % of all smokers enrolled in treatment-30 % in smoking reduction and 70 % in cessation treatment. The chronic care model developed for treating tobacco dependence, integrated into the primary care system through the EHR, has the potential to engage up to 4.3 million smokers in treatment a year.

Pilot randomized trial on mindfulness training for smokers in young adult binge drinkers

Background

We report results of a pilot study designed to test a novel smoking cessation intervention, Mindfulness Training for Smokers (MTS), in smokers age 18-29 years with regular episodes of binge drinking. Mindfulness is a cognitive skill of applying close moment-to-moment attention to experience with a mental posture of acceptance and non-reactivity. The MTS intervention consisted of six weekly classes that provided instruction on how to use mindfulness to manage known precursors of smoking relapse including smoking triggers, strong emotions, stressful situations, addictive thoughts, urges, and withdrawal symptoms.

Methods

The MTS intervention was compared to Interactive Learning for Smokers (ILS), a time/intensity matched control group using daily non-directed walking instead of mindfulness meditation. Recruitment was conducted primarily at local technical colleges. Primary outcome measures included biochemically-confirmed smoking abstinence and reduction in alcohol use at the end of treatment (2-weeks post-quit attempt).

Results

The sample (N = 55) was 70.9% male, with a mean age of 21.9 years, and a mean of 11.76 alcoholic drinks consumed per week. Intent-to-treat analysis showed biochemically-confirmed 7-day point prevalence abstinence rates at 2-weeks post-quit for MTS = 20.0% and ILS = 4.0%, p = .08. Secondary analysis showed number of drinks per week in the first 2-weeks post-quit correlated with smoking relapse at 2-weeks post-quit (p < .01).

Conclusions

This pilot study demonstrated that Mindfulness Training for Smokers shows promise for smoking cessation and alcohol use reduction in treating young adult smokers with alcohol abuse. Results suggest the need for a study with larger sample size and methods that reduce attrition.

Trial registration

ClnicalTrial.gov, NCT01679236

Internet-based interventions for smoking cessation

BACKGROUND

The Internet is now an indispensable part of daily life for the majority of people in many parts of the world. It offers an additional means of effecting changes to behaviour such as smoking.

OBJECTIVES

To determine the effectiveness of Internet-based interventions for smoking cessation.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialized Register. There were no restrictions placed on language of publication or publication date. The most recent search was conducted in April 2013.

SELECTION CRITERIA

We included randomized and quasi-randomized trials. Participants were people who smoked, with no exclusions based on age, gender, ethnicity, language or health status. Any type of Internet intervention was eligible. The comparison condition could be a no-intervention control, a different Internet intervention, or a non-Internet intervention.

DATA COLLECTION AND ANALYSIS

Two authors independently assessed and extracted data. Methodological and study quality details were extracted using a standardized form. We extracted smoking cessation outcomes of six months follow-up or more, reporting short-term outcomes where longer-term outcomes were not available. We reported study effects as a risk ratio (RR) with a 95% confidence interval (CI). Clinical and statistical heterogeneity limited our ability to pool studies.

MAIN RESULTS

This updated review includes a total of 28 studies with over 45,000 participants. Some Internet programmes were intensive and included multiple outreach contacts with participants, whilst others relied on participants to initiate and maintain use.Fifteen trials compared an Internet intervention to a non-Internet-based smoking cessation intervention or to a no-intervention control. Ten of these recruited adults, one recruited young adult university students and two recruited adolescents. Seven of the trials in adults had follow-up at six months or longer and compared an Internet intervention to usual care or printed self help. In a post hoc subgroup analysis, pooled results from three trials that compared interactive and individually tailored interventions to usual care or written self help detected a statistically significant effect in favour of the intervention (RR 1.48, 95% CI 1.11 to 2.78). However all three trials were judged to be at high risk of bias in one domain and high statistical heterogeneity was detected (I² = 53%), with no obvious clinical explanation. Pooled results from two studies of an interactive, tailored intervention involving the Internet and automated phone contacts also detected a significant effect (RR 2.05, 95% CI 1.42 to 2.97, I² = 42%). Results from a sixth study comparing an interactive but non-tailored intervention to control did not detect a significant effect, nor did the seventh study, which compared a non-interactive, non-tailored intervention to control. Three trials comparing Internet interventions to face-to-face or phone counselling also did not detect evidence of an effect, nor did two trials evaluating Internet interventions as adjuncts to other behavioural interventions. A trial in college students increased point prevalence abstinence after 30 weeks but had no effect on sustained abstinence. Two small trials in adolescents did not detect an effect on cessation compared to control.Fourteen trials, all in adult populations, compared different Internet sites or programmes. Pooled estimates from three trials that compared tailored and/or interactive Internet programmes with non-tailored, non-interactive Internet programmes did not detect evidence of an effect (RR 1.12, 95% CI 0.95 to 1.32, I² = 0%). One trial detected evidence of a benefit from a tailored email compared to a non-tailored one, whereas a second trial comparing tailored messages to a non-tailored message did not detect evidence of an effect. Trials failed to detect a benefit of including a mood management component (three trials), or an asynchronous bulletin board.

AUTHORS' CONCLUSIONS

Results suggest that some Internet-based interventions can assist smoking cessation at six months or longer, particularly those which are interactive and tailored to individuals. However, the trials that compared Internet interventions with usual care or self help did not show consistent effects and were at risk of bias. Further research is needed despite 28 studies on the subject. Future studies should carefully consider optimising the interventions which promise most effect such as tailoring and interactivity.

Influence of delivery strategy on message-processing mechanisms and future adherence to a Dutch computer-tailored smoking cessation intervention

BACKGROUND

Smoking tobacco is one of the most preventable causes of illness and death. Web-based tailored smoking cessation interventions have shown to be effective. Although these interventions have the potential to reach a large number of smokers, they often face high attrition rates, especially among lower educated smokers. A possible reason for the high attrition rates in the latter group is that computer-tailored smoking cessation interventions may not be attractive enough as they are mainly text-based. Video-based messages might be more effective in attracting attention and stimulating comprehension in people with a lower educational level and could therefore reduce attrition rates.

OBJECTIVE

The objective of the present study was to investigate whether differences exist in message-processing mechanisms (attention, comprehension, self-reference, appreciation, processing) and future adherence (intention to visit/use the website again, recommend the website to others), according to delivery strategy (video or text based messages) and educational level, to a Dutch computer-tailored smoking cessation program.

METHODS

Smokers who were motivated to quit within the following 6 months and who were aged over 16 were included in the program. Participants were randomly assigned to one of two conditions (video/text CT). The sample was stratified into 2 categories: lower and higher educated participants. In total, 139 participants completed the first session of the web-based tailored intervention and were subsequently asked to fill out a questionnaire assessing message-processing mechanisms and future adherence. ANOVAs and regression analyses were conducted to investigate the differences in message-processing mechanisms and future adherence with regard to delivery strategy and education.

RESULTS

No interaction effects were found between delivery strategy (video vs text) and educational level on message-processing mechanisms and future adherence. Delivery strategy had no effect on future adherence and processing mechanisms. However, in both groups results indicated that lower educated participants showed higher attention (F(1,138)=3.97; P=.05) and processing levels (F(1,138)=4.58; P=.04). Results revealed also that lower educated participants were more inclined to visit the computer-tailored intervention website again (F(1,138)=4.43; P=.04).

CONCLUSIONS

Computer-tailored programs have the potential to positively influence lower educated groups as they might be more involved in the computer-tailored intervention than higher educated smokers. Longitudinal studies with a larger sample are needed to gain more insight into the role of delivery strategy in tailored information and to investigate whether the intention to visit the intervention website again results in the ultimate goal of behavior change.

TRIAL REGISTRATION

Netherlands Trial Register (NTR3102).

Engagement promotes abstinence in a web-based cessation intervention: cohort study

Background

Web-based smoking cessation interventions can have a public health impact because they are both effective in promoting cessation and can reach large numbers of smokers in a cost-efficient manner. Their potential impact, however, has not been realized. It is still unclear how such interventions promote cessation, who benefits most, and how to improve their population impact.

Objective

To examine the effectiveness of a highly promoted Web-based smoking cessation intervention to promote quit behavior over time, identify the most effective features, and understand who is most likely to use those features by using unweighted and weighted analyses to estimate the impact in the broader pool of registered site users.

Methods

A sample of 1033 new adult registrants was recruited from a Web-based smoking cessation intervention by using an automated study management system. Abstinence was assessed by self-report through a mixed-mode follow-up (online survey with telephone follow-up for nonrespondents) at 1, 3, and 6 months. Software tracked respondents’ online activity. Generalized estimating equations (GEE) were used to examine predictors of website utilization and how utilization promoted abstinence using unweighted and weighted data.

Results

The 7-day point prevalence abstinence rates at 6 months ranged from 20.68% to 11.13% in the responder and intent-to-treat samples, respectively. Predictors of abstinence in unweighted analyses included number of visits to the website as well as accessing specific interactive or engaging features. In weighted analyses, only number of visits was predictive of abstinence. Motivation to quit was a key predictor of website utilization, whereas negative partner support decreased the likelihood of increasing visits or accessing engaging features.

Conclusions

Engagement is critical to promoting smoking cessation. The next generation of Web-based smoking cessation interventions needs to maximize the initial engagement of all new visitors and work to retain those smokers who proceed to register on the site.

Interventions for recruiting smokers into cessation programmes

BACKGROUND

Tobacco control is a top public health priority around the globe due to the high prevalence of cigarette smoking and its associated morbidity and mortality. Much effort has been focused on establishing the effectiveness of different smoking cessation strategies. This review, however, aims to address the initial challenge faced by smoking cessation programmes: recruitment of smokers.

OBJECTIVES

The primary objective of this review was to determine the effectiveness of different strategies for recruiting smokers into cessation programmes. The secondary objective was to determine the impact that these strategies had on smoking cessation rates at least six months after enrolment into a cessation programme.

SEARCH METHODS

We searched the specialised register of the Cochrane Tobacco Addiction Group using a search strategy which included the terms ('recruit$', 'invit$', 'enter', 'entry', 'enrolment') combined with ('smok$', 'cigarette', 'smoking cessation', 'tobacco') in the title, abstract or keyword fields. We searched MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL), and registers of current and ongoing trials. We also searched the reference lists of included studies.

SELECTION CRITERIA

We included randomised controlled trials and cluster randomised controlled trials that compared at least two different methods of recruiting current smokers into a smoking cessation programme. We also included those studies which focused on the effectiveness of a smoking cessation programme as long as the study involved multiple recruitment methods and reported results of the recruitment phase.

DATA COLLECTION AND ANALYSIS

From each included study, we extracted data on the type of participants, type of recruitment strategies (i.e., setting, mode of communication used, intensity and duration) and comparisons, and on randomisation, allocation concealment, and blinding procedures.Our primary outcome was the proportion of smokers successfully recruited to each cessation programme compared to alternative modalities of recruitment. Our secondary outcome was smoking cessation for at least six months. Given the substantial heterogeneity across recruitment interventions and participants, we adopted a narrative synthesis approach for summarising results.

MAIN RESULTS

This review includes 19 studies with a total of 14,890 participants. We categorised the included studies according to the modes used to deliver the recruitment strategy: head to head comparison of individual recruitment strategies; comparison of the same delivery mode but with different content or intensity; and the addition of another mode to an existing recruitment method.We identified three studies that made head-to-head comparisons of different types of recruitment strategies. Of these, only one study detected a significant effect, finding that a personal phone call was more effective than a generic invitation letter (RR 40.73, 95% CI 2.53 to 654.74). Five studies compared interventions using the same delivery modes but different content. Results showed that tailored messages through an interactive voice response system resulted in a higher recruitment rate than assessment of smoking status alone using the same system (RR 8.64, 95% CI 4.41 to 16.93), and that text messages indicating scarcity of places available were more effective than generic text message reminders (RR 1.45, 95% CI 1.07 to 1.96). One study compared interventions using the same delivery mode but different intensity and found that allowing for more phone call attempts to reach potential participants can result in better recruitment (RR 1.87, 95% CI 1.61 to 2.18). Finally, 10 studies investigated the effect of adding a recruitment mode to existing recruitment strategies. Findings showed that: adding a text message reminder or real quotes from participants to a personal phone call improved recruitment of participants (RR 3.38, 95% CI 1.26 to 9.08 and RR 29.07, 95% CI 1.74 to 485.70, respectively); that adding a personal phone call to an existing newsletter can also increase recruitment rates (RR 65.12, 95% CI 4.06 to 1045.4]); that a reactive-proactive recruitment phase is more effective than a proactive phase alone (63.8% versus 47.5%, RR not available); and that active recruitment at schools is more effective than passive recruitment (p < 0.001, denominator not available for calculation of RR). Additionally, a number of studies in this category showed that providing incentives can effectively increase the number of participants recruited into smoking cessation programmes.Out of the 19 included studies, only four reported on the effect of recruitment strategy on smoking cessation at six months or longer. Three of these studies compared strategies that used the same delivery mode with different content. Their results were non-significant. The remaining three studies evaluated adding an additional mode to an existing recruitment intervention. Only one of them showed a significant difference in the levels of smoking cessation that favoured the enhanced recruitment strategy, but this may have reflected the offer of incentives once in the programme rather than the recruitment strategy itself (RR at 15 or 18 months 2.60, 95% CI 1.48 to 4.56).

AUTHORS' CONCLUSIONS

The substantial heterogeneity across the included studies restricts our ability to draw firm conclusions about the effectiveness of different recruitment strategies in relation to recruitment of participants into smoking cessation programmes or levels of smoking cessation. The limited evidence, however, suggests that the following elements may improve the recruitment of smokers into cessation programmes: personal, tailored interventions; recruitment methods that are proactive in nature; and more intensive recruitment strategies (i.e., those strategies that require increased contact with potential participants).

Exploring the reach and program use of Hello World, an email-based health promotion program for pregnant women in the Netherlands

Background

In 2006, the Dutch government initiated Hello World, an email-based program promoting healthy lifestyles among pregnant women through quizzes with pregnancy-related questions. In 2008, an updated version was released.

The present study aimed to (1) examine the reach of Hello World and the representativeness of its users for all pregnant women in the Netherlands, (2) explore the relationship between program engagement and lifestyle characteristics, and (3) explore the relationship between the program content participants accessed (content on smoking, physical activity, and nutrition) and their lifestyle characteristics.

Methods

Data from 4,363 pregnant women were included. After registration, women received an online questionnaire with demographic and lifestyle questions. To evaluate their representativeness, their demographic characteristics were compared with existing data for Dutch (pregnant) women. Women were classified on the following lifestyle characteristics: smoking, nutrition, physical activity, and pre-pregnancy weight status. Program use was tracked and the relationships between lifestyle characteristics, program engagement, and the percentage of smoking, physical activity, and nutrition questions accessed after opening a quiz were explored using Mann–Whitney U tests and Kruskal-Wallis tests.

Results

Hello World reached ±4% of its target population. Ten percent of participants were low educated and 22% immigrants. On average, women received 6.1 (SD:2.8) quiz emails and opened 32% of the associated quizzes (2.0, SD:2.1). A significant positive association was found between the number of quizzes opened and the number of healthy lifestyle characteristics. After opening a quiz, women accessed most smoking, nutrition, and physical activity questions. Significant relationships were found between several lifestyle characteristics and the percentage of smoking, physical activity, and nutrition questions accessed. However, between-group differences were small, quiz topics were largely unrelated to their lifestyle characteristics, and inconsistencies were found regarding the directions of these associations.

Conclusions

Hello World reached ±4% of its target population, which is lower than the reach of its previous version (±8%). Relatively few low educated and immigrant women registered for the program. Active participation in the program was positively associated with the number of healthy behaviours participants engaged in. The program content participants chose to access was largely unrelated to their lifestyle characteristics.