Usage and longitudinal effectiveness of a Web-based self-help cognitive behavioral therapy program for panic disorder

Demographic and Indication-Specific Characteristics Have Limited Association With Social Network Engagement: Evidence From 24,954 Members of Four Health Care Support Groups

Background

Digital health social networks (DHSNs) are widespread, and the consensus is that they contribute to wellness by offering social support and knowledge sharing. The success of a DHSN is based on the number of participants and their consistent creation of externalities through the generation of new content. To promote network growth, it would be helpful to identify characteristics of superusers or actors who create value by generating positive network externalities.

Objective

The aim of the study was to investigate the feasibility of developing predictive models that identify potential superusers in real time. This study examined associations between posting behavior, 4 demographic variables, and 20 indication-specific variables.

Methods

Data were extracted from the custom structured query language (SQL) databases of 4 digital health behavior change interventions with DHSNs. Of these, 2 were designed to assist in the treatment of addictions (problem drinking and smoking cessation), and 2 for mental health (depressive disorder, panic disorder). To analyze posting behavior, 10 models were developed, and negative binomial regressions were conducted to examine associations between number of posts, and demographic and indication-specific variables.

Results

The DHSNs varied in number of days active (3658-5210), number of registrants (5049-52,396), number of actors (1085-8452), and number of posts (16,231-521,997). In the sample, all 10 models had low R² values (.013-.086) with limited statistically significant demographic and indication-specific variables.

Conclusions

Very few variables were associated with social network engagement. Although some variables were statistically significant, they did not appear to be practically significant. Based on the large number of study participants, variation in DHSN theme, and extensive time-period, we did not find strong evidence that demographic characteristics or indication severity sufficiently explain the variability in number of posts per actor. Researchers should investigate alternative models that identify superusers or other individuals who create social network externalities.

Uptake and adherence to an online intervention for cancer-related distress: older age is not a barrier to adherence but may be a barrier to uptake

PURPOSE

While online interventions are increasingly explored as an alternative to therapist-based interventions for cancer-related distress, limitations to efficacy potentially include low uptake and adherence. Few predictors of uptake or adherence to online interventions have been consistently identified, particularly in individuals with cancer. This study examined rates and predictors of uptake and adherence to Finding My Way, a RCT of an online intervention versus an information-only online control for cancer-related distress.

METHODS

Participants were adults with cancer treated with curative intent. Adherence was assessed by login frequency, duration and activity level; analyses examined demographic, medical and psychological predictors of uptake and adherence.

RESULTS

The study enrolled 191 adults (aged 26-94 years) undergoing active treatment for cancer of any type. Uptake was highest for females and for individuals with ovarian (80%) and breast cancer (49.8%), and lowest for those with melanoma (26.5%). Adherence was predicted by older age and control-group allocation. Baseline distress levels did not predict adherence. High adherers to the full intervention had better emotion regulation and quality of life than low adherers.

CONCLUSIONS

Uptake of online intervention varies according to age, gender and cancer type. While uptake was higher amongst younger individuals, once enrolled, older individuals were more likely to adhere to online interventions for cancer-related distress.

Increasing engagement with, and effectiveness of, an online CBT-based stress management intervention for employees through the use of an online facilitated bulletin board: study protocol for a pilot randomised controlled trial

BACKGROUND

The evidence for the benefits of online cognitive behaviour therapy (CBT)-based programmes delivered in a clinical context is clear, but this evidence does not translate to online CBT-based stress management programmes delivered within a workplace context. One of the challenges to the delivery of online interventions is programme engagement; this challenge is even more acute for interventions delivered in real-world settings such as the workplace. The purpose of this pilot study is to explore the effect of an online facilitated discussion group on engagement, and to estimate the potential effectiveness of an online CBT-based stress management programme.

METHODS

This study is a three-arm randomised controlled trial (RCT) comparing a minimally guided, online, CBT-based stress management intervention delivered with and without an online facilitated bulletin board, and a wait list control group. Up to 90 employees from six UK-based organisations will be recruited to the study. Inclusion criteria will include age 18 years or over, elevated levels of stress (as measured on the PSS-10 scale), access to a computer or a tablet and the Internet. The primary outcome measure will be engagement, as defined by the number of logins to the site; secondary outcome measures will include further measures of engagement (the number of pages visited, the number of modules completed and self-report engagement) and measures of effectiveness (psychological distress and subjective wellbeing). Possible moderators will include measures of intervention quality (satisfaction, acceptability, credibility, system usability), time pressure, goal conflict, levels of distress at baseline and job autonomy. Measures will be taken at baseline, 2 weeks (credibility and expectancy measures only), 8 weeks (completion of intervention) and 16 weeks (follow-up). Primary analysis will be conducted on intention-to-treat principles.

DISCUSSION

To our knowledge this is the first study to explore the effect of an online discussion group on the engagement and effectiveness of an online CBT-based stress management intervention. This study could provide a solution to the growing problem of poor employee psychological health and begin to address the challenge of increasing engagement with Internet-delivered health interventions.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02729987 . Registered on 18 Mar 2016.

Employing the Gini coefficient to measure participation inequality in treatment-focused Digital Health Social Networks

Digital Health Social Networks (DHSNs) are common; however, there are few metrics that can be used to identify participation inequality. The objective of this study was to investigate whether the Gini coefficient, an economic measure of statistical dispersion traditionally used to measure income inequality, could be employed to measure DHSN inequality. Quarterly Gini coefficients were derived from four long-standing DHSNs. The combined data set included 625,736 posts that were generated from 15,181 actors over 18,671 days. The range of actors (8-2323), posts (29-28,684), and Gini coefficients (0.15-0.37) varied. Pearson correlations indicated statistically significant associations between number of actors and number of posts (0.527-0.835, p < .001), and Gini coefficients and number of posts (0.342-0.725, p < .001). However, the association between Gini coefficient and number of actors was only statistically significant for the addiction networks (0.619 and 0.276, p < .036). Linear regression models had positive but mixed R2 results (0.333-0.527). In all four regression models, the association between Gini coefficient and posts was statistically significant (t = 3.346-7.381, p < .002). However, unlike the Pearson correlations, the association between Gini coefficient and number of actors was only statistically significant in the two mental health networks (t = -4.305 and -5.934, p < .000). The Gini coefficient is helpful in measuring shifts in DHSN inequality. However, as a standalone metric, the Gini coefficient does not indicate optimal numbers or ratios of actors to posts, or effective network engagement. Further, mixed-methods research investigating quantitative performance metrics is required.

A Model of Engagement Promotion in a Professionally Facilitated Online Intervention for Couples Affected by Breast Cancer

Professionally facilitated web-based interventions for couples affected by an illness such as cancer are growing in popularity. Attrition rates for such online programs, however, are substantially higher than what is observed in face-to-face therapeutic contexts, and lower levels of participant engagement are associated with poorer outcomes. In the present investigation, a task analysis was employed to develop a model of engagement promotion in an online intervention for couples affected by breast cancer called "Couplelinks." Results indicated that facilitators utilized a variety of meta-processes, such as humanizing the technology, and associated "eBehaviors," to maintain three relationships involved in promoting online engagement: (a) between the facilitator and couple; (b) between the intervention and couple; and (c) between the partners within the couple.

Engagement and attrition in Internet smoking cessation interventions: Insights from a cross-sectional survey of "one-hit-wonders"

INTRODUCTION

Internet interventions can reach large numbers of individuals. However, low levels of engagement and high rates of follow-up attrition are common, presenting major challenges to evaluation. This study investigated why registrants of an Internet smoking cessation intervention did not return after joining ("one hit wonders"), and explored the impact of graduated incentives on survey response rates and responder characteristics.

METHODS

A sample of "one hit wonders" that registered on a free smoking cessation website between 2014 and 2015 were surveyed. The initial invitation contained no incentive. Subsequent invitations were sent to random subsamples of non-responders from each previous wave offering $25 and $50 respectively. Descriptive statistics characterized respondents on demographic characteristics, reasons for not returning, and length of time since last visit. Differences were investigated with Fisher's Exact tests, Kruskal-Wallis, and logistic regression.

RESULTS

Of 8779 users who received the initial invitation, 132 completed the survey (1.5%). Among those subsequently offered a $25 incentive, 127 (3.7%) responded. Among those offered a $50 incentive, 97 responded (5.7%). The most common reasons endorsed for not returning were being unable to quit (51%), not having enough time (33%), having forgotten about the website (28%), and not being ready to quit (21%). Notably, however, 23% reported not returning because they had successfully quit smoking. Paid incentives yielded a higher proportion of individuals who were still smoking than the $0 incentive (72% vs. 61%). Among $0 and $25 responders, likelihood of survey response decreased with time since registration; the $50 incentive removed the negative effect of time-since-registration on probability of response.

CONCLUSIONS

One third of participants that had disengaged from an Internet intervention reported abstinence at follow-up, suggesting that low levels of engagement are not synonymous with treatment failure in all cases. Paid incentives above $25 may be needed to elicit survey responses, especially among those with longer intervals of disengagement from an intervention.

Adherence to Internet-Based Mobile-Supported Stress Management: A Pooled Analysis of Individual Participant Data From Three Randomized Controlled Trials

Background

Nonadherence to treatment is a prevalent issue in Internet interventions. Guidance from health care professionals has been found to increase treatment adherence rates in Internet interventions for a range of physical and mental disorders. Evaluating different guidance formats of varying intensity is important, particularly with respect to improvement of effectiveness and cost-effectiveness. Identifying predictors of nonadherence allows for the opportunity to better adapt Internet interventions to the needs of participants especially at risk for discontinuing treatment.

Objective

The goal of this study was to investigate the influence of different guidance formats (content-focused guidance, adherence-focused guidance, and administrative guidance) on adherence and to identify predictors of nonadherence in an Internet-based mobile-supported stress management intervention (ie, GET.ON Stress) for employees.

Methods

The data from the groups who received the intervention were pooled from three randomized controlled trials (RCTs) that evaluated the efficacy of the same Internet-based mobile-supported stress management intervention (N=395). The RCTs only differed in terms of the guidance format (content-focused guidance vs waitlist control, adherence-focused guidance vs waitlist control, administrative guidance vs waitlist control). Adherence was defined by the number of completed treatment modules (0-7). An ANOVA was performed to compare the adherence rates from the different guidance formats. Multiple hierarchical linear regression analysis was conducted to evaluate predictors of nonadherence, which included gender, age, education, symptom-related factors, and hope for improvement.

Results

In all, 70.5% (93/132) of the content-focused guidance sample, 68.9% (91/132) of the adherence-focused guidance sample, and 42.0% (55/131) of the participants in the administrative guidance sample completed all treatment modules. Guidance had a significant effect on treatment adherence (F_2,392=11.64, P<.001; ω²=.05). Participants in the content-focused guidance (mean 5.70, SD 2.32) and adherence-focused guidance samples (mean 5.58, SD 2.33) completed significantly more modules than participants in the administrative guidance sample (mean 4.36, SD 2.78; t₂₂₃=4.53, P<.001; r=.29). Content-focused guidance was not significantly associated with higher adherence compared to adherence-focused guidance (t₂₆₂=0.42, P=.67; r=.03). The effect size of r=.03 (95% CI –0.09 to 0.15) did not pass the equivalence margin of r=.20 and the upper bound of the 95% CI lay below the predefined margin, indicating equivalence between adherence-focused guidance and content-focused guidance. Beyond the influence of guidance, none of the predictors significantly predicted nonadherence.

Conclusions

Guidance has been shown to be an influential factor in promoting adherence to an Internet-based mobile-supported stress management intervention. Adherence-focused guidance, which included email reminders and feedback on demand, was equivalent to content-focused guidance with regular feedback while requiring only approximately a quarter of the coaching resources. This could be a promising discovery in terms of cost-effectiveness. However, even after considering guidance, sociodemographic, and symptom-related characteristics, most interindividual differences in nonadherence remain unexplained.

Clinical Trial

DRKS00004749; http://drks-neu.uniklinik-freiburg.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL _ID=DRKS00004749 (Archived by WebCite at http://www.webcitation.org/6QiDk9Zn8); DRKS00005112; http://drks-neu.uniklinik-freiburg. de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00005112 (Archived by WebCite at http://www.webcitation.org/6QiDysvev); DRKS00005384; http://drks-neu.uniklinik-freiburg.de/ drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00005384 (Archived by WebCite at http://www.webcitation.org/6QiE0xcpE)

International Phase II clinical trial of CBTPsych: A standalone Internet social anxiety treatment for adults who stutter

PURPOSE

CBTPsych is an individualized, fully automated, standalone Internet treatment program that requires no clinical contact or support. It is designed specifically for those who stutter. Two preliminary trials demonstrated that it may be efficacious for treating the social anxiety commonly associated with stuttering. However, both trials involved pre- and post-treatment assessment at a speech clinic. This contact may have increased compliance, commitment and adherence with the program. The present study sought to establish the effectiveness of CBTPsych in a large international trial with no contact of any kind from researchers or clinicians.

METHOD

Participants were 267 adults with a reported history of stuttering who were given a maximum of 5 months access to CBTPsych. Pre- and post-treatment functioning was assessed within the online program with a range of psychometric measures.

RESULTS

Forty-nine participants (18.4%) completed all seven modules of CBTPsych and completed the post-treatment online assessments. That compliance rate was far superior to similar community trials of self-directed Internet mental health programs. Completion of the program was associated with large, statistically and clinically significant reductions for all measures. The reductions were similar to those obtained in earlier trials of CBTPsych, and those obtained in trials of in-clinic CBT with an expert clinician.

CONCLUSIONS

CBTPsych is a promising individualized treatment for social anxiety for a proportion of adults who stutter, which requires no health care costs in terms of clinician contact or support.

EDUCATIONAL OBJECTIVES

The reader will be able to: (a) discuss the reasons for investigating CBTPsych without any clinical contact; (b) describe the main components of the CBTPsych treatment; (c) summarize the results of this clinical trial; (d) describe how the results might affect clinical practice, if at all.

The relationship between persuasive technology principles, adherence and effect of web-Based interventions for mental health: A meta-analysis

BACKGROUND

Research has shown that web-based interventions concerning mental health can be effective, although there is a broad range in effect sizes. Why some interventions are more effective than others is not clear. Persuasive technology is one of the aspects which has a positive influence on changing attitude and/or behavior, and can contribute to better outcomes. According to the Persuasive Systems Design Model there are various principles that can be deployed. It is unknown whether the number and combinations of principles used in a web-based intervention affect the effectiveness. Another issue in web-based interventions is adherence. Little is known about the relationship of adherence on the effectiveness of web-based interventions.

OBJECTIVE

This study examines whether there is a relationship between the number and combinations of persuasive technology principles used in web-based interventions and the effectiveness. Also the influence of adherence on effectiveness of web-based interventions is investigated.

METHODS

This study elaborates on the systematic review by [37] and therefore the articles were derived from that study. Only web-based interventions were included that were intended to be used on more than one occasion and studies were excluded when no information on adherence was provided. 48 interventions targeted at mental health were selected for the current study. A within-group (WG) and between-group (BG) meta-analysis were performed and subsequently subgroup analyses regarding the relationship between the number and combinations of persuasive technology principles and effectiveness. The influence of adherence on the effectiveness was examined through a meta-regression analysis.

RESULTS

For the WG meta-analysis 40 treatment groups were included. The BG meta-analysis included 19 studies. The mean pooled effect size in the WG meta-analysis was large and significant (Hedges' g=0.94), while for the BG meta-analysis this was moderate to large and significant (Hedges' g=0.78) in favor of the web-based interventions. With regard to the number of persuasive technology principles, the differences between the effect sizes in the subgroups were significant in the WG subgroup analyses for the total number of principles and for the number of principles in the three categories Primary Task Support, Dialogue Support, and Social Support. In the BG subgroup analyses only the difference in Primary Task Support was significant. An increase in the total number of principles and Dialogue Support principles yielded larger effect sizes in the WG subgroup analysis, indicating that more principles lead to better outcomes. The number of principles in the Primary Task Support (WG and BG) and Social Support (WG) did not show an upward trend but had varying effect sizes. We identified a number of combinations of principles that were more effective, but only in the WG analyses. The association between adherence and effectiveness was not significant.

CONCLUSIONS

There is a relationship between the number of persuasive technology principles and the effectiveness of web-based interventions concerning mental health, however this does not always mean that implementing more principles leads to better outcomes. Regarding the combinations of principles, specific principles seemed to work well together (e.g. tunneling and tailoring; reminders and similarity; social learning and comparison), but adding another principle can diminish the effectiveness (e.g. tunneling, tailoring and reduction). In this study, an increase in adherence was not associated with larger effect sizes. The findings of this study can help developers to decide which persuasive principles to include to make web-based interventions more persuasive.

Persuasive user experiences of a health Behavior Change Support System: A 12-month study for prevention of metabolic syndrome

BACKGROUND

Obesity has become a severe health problem in the world. Even a moderate 5% weight loss can significantly reduce the prevalence of metabolic syndrome, which can be vital for preventing comorbidities caused by the obesity. Health Behavior Change Support Systems (hBCSS) emphasize an autogenous approach, where an individual uses the system to influence one's own attitude or behavior to achieve his or her own goal. Regardless of promising results, such health interventions technology has often been considered merely as a tool for delivering content that has no effect or value of its own. More research on actual system features is required.

OBJECTIVES

The objective of this study is to describe how users perceive persuasive software features designed and implemented into a support system.

METHODS

The research medium in this study is a web-based information system designed as a lifestyle intervention for participants who are at risk of developing a metabolic syndrome or who are already suffering from it. The system was designed closely following the principles of the Persuasive Systems Design (PSD) model and the Behavior Change Support Systems (BCSS) framework. A total of 43 system users were interviewed for this study during and after a 52 week intervention period. In addition, the system's login data and subjects' Body Mass Index (BMI) measures were used to interpret the results.

RESULTS

This study explains in detail how the users perceived using the system and its persuasive features. Self-monitoring, reminders, and tunneling were perceived as especially beneficial persuasive features. The need for social support appeared to grow along the duration of the intervention. Unobtrusiveness was found to be very important in all stages of the intervention rather than only at the beginning.

CONCLUSIONS

Persuasive software features have power to affect individuals' health behaviors. Through their systematicity the PSD model and the BCSS framework provide effective support for the design and development of technological health interventions. Designers of such systems may choose, for instance, to implement more self-monitoring tools to help individuals to adjust their personal goals with the system's offerings better.

Internet-based treatment for Romanian adults with panic disorder: protocol of a randomized controlled trial comparing a Skype-guided with an unguided self-help intervention (the PAXPD study)

BACKGROUND

Efficacy of self-help internet-based cognitive behavior therapy (ICBT) for anxiety disorders has been confirmed in several randomized controlled trials. However, the amount and type of therapist guidance needed in ICBT are still under debate. Previous studies have shown divergent results regarding the role of therapist guidance and its impact on treatment outcome. This issue is central to the development of ICBT programs and needs to be addressed directly. The present study aims to compare the benefits of regular therapist guidance via online real-time audio-video communication (i.e. Skype) to no therapist guidance during a 12-week Romanian self-help ICBT program for Panic Disorder. Both treatments are compared to a waiting-list control group.

METHODS/DESIGN

A parallel group randomized controlled trial is proposed. The participants, 192 Romanian adults fulfilling diagnostic criteria for panic disorder according to a diagnostic interview, conducted via secured Skype or telephone, are randomly assigned to one of the three conditions: independent use of the internet-based self-help program PAXonline, the same self-help treatment with regular therapist support via secured Skype, and waiting-list control group. The primary outcomes are severity of self-report panic symptoms (PDSS-SR) and diagnostic status (assessors are blind to group assignment), at the end of the intervention (12 weeks) and at follow-up (months 3 and 6). The secondary measures address symptoms of comorbid anxiety disorders, depression, quality of life, adherence and satisfaction with ICBT. Additional measures of socio-demographic characteristics, personality traits, treatment expectancies, catastrophic cognitions, body vigilance and working alliance are considered as potential moderators and/ or mediators of treatment outcome.

DISCUSSION

To the best of our knowledge, the present study is the first effort to investigate the efficacy of a self-help internet-based intervention with therapist guidance via real-time video communication. A direct comparison between therapist guided versus unguided self-directed intervention for panic disorder will also be addressed for the first time. Findings from this study will inform researchers and practitioners about the added value of online video-therapy guidance sessions and the type of patients who may benefit the most from guided and unguided ICBT for Panic disorder.

TRIAL REGISTRATION

ACTRN12614000547640 (Australian New Zealand Clinical Trials Registry). Registered 22/05/2014.

An Internet-Based Intervention (Mamma Mia) for Postpartum Depression: Mapping the Development from Theory to Practice

BACKGROUND

As much as 10-15% of new mothers experience depression postpartum. An Internet-based intervention (Mamma Mia) was developed with the primary aims of preventing depressive symptoms and enhancing subjective well-being among pregnant and postpartum women. A secondary aim of Mamma Mia was to ease the transition of becoming a mother by providing knowledge, techniques, and support during pregnancy and after birth.

OBJECTIVE

The aim of the paper is to provide a systematic and comprehensive description of the intervention rationale and the development of Mamma Mia.

METHODS

For this purpose, we used the intervention mapping (IM) protocol as descriptive tool, which consists of the following 6 steps: (1) a needs assessment, (2) definition of change objectives, (3) selection of theoretical methods and practical strategies, (4) development of program components, (5) planning adoption and implementation, and (6) planning evaluation.

RESULTS

Mamma Mia is a fully automated Internet intervention available for computers, tablets, and smartphones, intended for individual use by the mother. It starts in gestational week 18-24 and lasts up to when the baby becomes 6 months old. This intervention applies a tunneled design to guide the woman through the program in a step-by-step fashion in accordance with the psychological preparations of becoming a mother. The intervention is delivered by email and interactive websites, combining text, pictures, prerecorded audio files, and user input. It targets risk and protective factors for postpartum depression such as prepartum and postpartum attachment, couple satisfaction, social support, and subjective well-being, as identified in the needs assessment. The plan is to implement Mamma Mia directly to users and as part of ordinary services at well-baby clinics, and to evaluate the effectiveness of Mamma Mia in a randomized controlled trial and assess users' experiences with the program.

CONCLUSIONS

The IM of Mamma Mia has made clear the rationale for the intervention, and linked theories and empirical evidence to the contents and materials of the program. This meets the recent calls for intervention descriptions and may inform future studies, development of interventions, and systematic reviews.

Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia

BACKGROUND

Data from controlled trials indicate that Web-based interventions generally suffer from low engagement and high attrition. This is important because the level of exposure to intervention content is linked to intervention effectiveness. However, data from real-life Web-based behavior change interventions are scarce, especially when looking at physical activity promotion.

OBJECTIVE

The aims of this study were to (1) examine the engagement with the freely available physical activity promotion program 10,000 Steps, (2) examine how the use of a smartphone app may be helpful in increasing engagement with the intervention and in decreasing nonusage attrition, and (3) identify sociodemographic- and engagement-related determinants of nonusage attrition.

METHODS

Users (N=16,948) were grouped based on which platform (website, app) they logged their physical activity: Web only, app only, or Web and app. Groups were compared on sociodemographics and engagement parameters (duration of usage, number of individual and workplace challenges started, and number of physical activity log days) using ANOVA and chi-square tests. For a subsample of users that had been members for at least 3 months (n=11,651), Kaplan-Meier survival curves were estimated to plot attrition over the first 3 months after registration. A Cox regression model was used to determine predictors of nonusage attrition.

RESULTS

In the overall sample, user groups differed significantly in all sociodemographics and engagement parameters. Engagement with the program was highest for Web-and-app users. In the subsample, 50.00% (5826/11,651) of users stopped logging physical activity through the program after 30 days. Cox regression showed that user group predicted nonusage attrition: Web-and-app users (hazard ratio=0.86, 95% CI 0.81-0.93, P<.001) and app-only users (hazard ratio=0.63, 95% CI 0.58-0.68, P<.001) showed a reduced attrition risk compared to Web-only users. Further, having a higher number of individual challenges (hazard ratio=0.62, 95% CI 0.59-0.66, P<.001), workplace challenges (hazard ratio=0.94, 95% CI 0.90-0.97, P<.001), physical activity logging days (hazard ratio=0.921, 95% CI 0.919-0.922, P<.001), and steps logged per day (hazard ratio=0.99999, 95% CI 0.99998-0.99999, P<.001) were associated with reduced nonusage attrition risk as well as older age (hazard ratio=0.992, 95% CI 0.991-0.994, P<.001), being male (hazard ratio=0.85, 95% CI 0.82-0.89, P<.001), and being non-Australian (hazard ratio=0.87, 95% CI 0.82-0.91, P<.001).

CONCLUSIONS

Compared to other freely accessible Web-based health behavior interventions, the 10,000 Steps program showed high engagement. The use of an app alone or in addition to the website can enhance program engagement and reduce risk of attrition. Better understanding of participant reasons for reducing engagement can assist in clarifying how to best address this issue to maximize behavior change.

The Web-Based Osteoarthritis Management Resource My Joint Pain Improves Quality of Care: A Quasi-Experimental Study

Background

Despite the availability of evidence-based guidelines for conservative treatment of osteoarthritis (OA), management is often confined to the use of analgesics and waiting for eventual total joint replacement. This suggests a gap in knowledge for persons with OA regarding the many different treatments available to them.

Objective

Our objective was to evaluate outcomes after usage of a Web-based resource called My Joint Pain that contains tailored, evidence-based information and tools aimed to improve self-management of OA on self-management and change in knowledge.

Methods

A quasi-experimental design was used to evaluate the My Joint Pain website intervention over a 12-month period. The intervention provided participants with general and user-specific information, monthly assessments with validated instruments, and progress-tracking tools. A nationwide convenience sample of 195 participants with self-assessed hip and/or knee OA completed both baseline and 12-month questionnaires (users: n=104; nonusers: n=91). The primary outcome measure was the Health Evaluation Impact Questionnaire (heiQ) to evaluate 8 different domains (health-directed activity, positive and active engagement in life, emotional distress, self-monitoring and insight, constructive attitudes and approaches, skill and technique acquisition, social integration and support, health service navigation) and the secondary outcome measure was the 17-item Osteoarthritis Quality Indicator (OAQI) questionnaire to evaluate the change in appropriateness of care received by participants. Independent t tests were used to compare changes between groups for the heiQ and chi-square tests to identify changes within and between groups from baseline to 12 months for each OAQI item.

Results

Baseline demographics between groups were similar for gender (152/195, 77.9% female), age (mean 60, SD 9 years) and body mass index (mean 31.1, SD 6.8 kg/m²). With the exception of health service navigation, mean effect sizes from all other heiQ domains showed a positive trend for My Joint Pain users compared to the nonusers, although the differences between groups did not reach statistical significance. Within-group changes also showed improvements among the users of the My Joint Pain website for self-management (absolute change score=15%, P=.03), lifestyle (absolute change score=16%, P=.02), and physical activity (absolute change score=11%, P=.04), with no significant improvements for the nonusers. Following 12 months of exposure to the website, there were significant improvements for users compared to nonusers in self-management (absolute change score 15% vs 2%, P=.001) and weight reduction (absolute change scores 3% vs –6%, P=.03) measured on the OAQI.

Conclusions

The My Joint Pain Web resource does not significantly improve overall heiQ, but does improve other important aspects of quality of care in people with hip and/or knee OA. Further work is required to improve engagement with the website and the quality of information delivered in order to provide a greater impact.

Mapping Power Law Distributions in Digital Health Social Networks: Methods, Interpretations, and Practical Implications

Background

Social networks are common in digital health. A new stream of research is beginning to investigate the mechanisms of digital health social networks (DHSNs), how they are structured, how they function, and how their growth can be nurtured and managed. DHSNs increase in value when additional content is added, and the structure of networks may resemble the characteristics of power laws. Power laws are contrary to traditional Gaussian averages in that they demonstrate correlated phenomena.

Objectives

The objective of this study is to investigate whether the distribution frequency in four DHSNs can be characterized as following a power law. A second objective is to describe the method used to determine the comparison.

Methods

Data from four DHSNs—Alcohol Help Center (AHC), Depression Center (DC), Panic Center (PC), and Stop Smoking Center (SSC)—were compared to power law distributions. To assist future researchers and managers, the 5-step methodology used to analyze and compare datasets is described.

Results

All four DHSNs were found to have right-skewed distributions, indicating the data were not normally distributed. When power trend lines were added to each frequency distribution, R² values indicated that, to a very high degree, the variance in post frequencies can be explained by actor rank (AHC .962, DC .975, PC .969, SSC .95). Spearman correlations provided further indication of the strength and statistical significance of the relationship (AHC .987. DC .967, PC .983, SSC .993, P<.001).

Conclusions

This is the first study to investigate power distributions across multiple DHSNs, each addressing a unique condition. Results indicate that despite vast differences in theme, content, and length of existence, DHSNs follow properties of power laws. The structure of DHSNs is important as it gives insight to researchers and managers into the nature and mechanisms of network functionality. The 5-step process undertaken to compare actor contribution patterns can be replicated in networks that are managed by other organizations, and we conjecture that patterns observed in this study could be found in other DHSNs. Future research should analyze network growth over time and examine the characteristics and survival rates of superusers.

Establishing guidelines for executing and reporting Internet intervention research

The field of Internet interventions is growing rapidly. New programs are continually being developed to facilitate health and mental health promotion, disease and emotional distress prevention, risk factor management, treatment, and relapse prevention. However, a clear definition of Internet interventions, guidelines for research, and evidence of effectiveness have been slower to follow. This article focuses on the quality standardization of research on Internet-delivered psychological and behavioural interventions. Although the science underpinning Internet interventions is just starting to be established, across research studies there are often conceptual and methodological difficulties. The authors argue that this situation is due to the lack of universally accepted operational guidelines and evaluation methods. Following a critical appraisal of existing codes of conduct and guidelines for Internet-assisted psychological and health interventions, the authors developed a framework of guidelines for Internet intervention research utilizing aspects of facet theory (Guttman & Greenbaum, 1998). The framework of facets, elements, and guidelines of best practice in reporting Internet intervention research was then sent to several leading researchers in the field for their comment and input, so that a consensus framework could be agreed on. The authors outline 12 key facets to be considered when evaluating and reporting Internet intervention studies. Each facet consists of a range of recommended elements, designed as the minimum features for reporting Internet intervention studies. The authors propose that this framework be utilized when designing and reporting Internet intervention research, so results across studies can be replicated, extended, compared, and contrasted with greater ease and clarity.

Defining the Role of the Online Therapeutic Facilitator: Principles and Guidelines Developed for Couplelinks, an Online Support Program for Couples Affected by Breast Cancer

Development of psychological interventions delivered via the Internet is a rapidly growing field with the potential to make vital services more accessible. However, there is a corresponding need for careful examination of factors that contribute to effectiveness of Internet-delivered interventions, especially given the observed high dropout rates relative to traditional in-person (IP) interventions. Research has found that the involvement of an online therapist in a Web-based intervention reduces treatment dropout. However, the role of such online therapists is seldom well articulated and varies considerably across programs making it difficult to discern processes that are important for online therapist involvement.In this paper, we introduce the concept of "therapeutic facilitation" to describe the role of the online therapist that was developed and further refined in the context of a Web-based, asynchronous psychosocial intervention for couples affected by breast cancer called Couplelinks. Couplelinks is structured into 6 dyadic learning modules designed to be completed on a weekly basis in consultation with a facilitator through regular, asynchronous, online text-based communication.Principles of therapeutic facilitation derived from a combination of theory underlying the intervention and pilot-testing of the first iteration of the program are described. Case examples to illustrate these principles as well as commonly encountered challenges to online facilitation are presented. Guidelines and principles for therapeutic facilitation hold relevance for professionally delivered online programs more broadly, beyond interventions for couples and cancer.

Enhancing Web-based mindfulness training for mental health promotion with the health action process approach: randomized controlled trial

Background

With increasing evidence demonstrating the effectiveness of Web-based interventions and mindfulness-based training in improving health, delivering mindfulness training online is an attractive proposition.

Objective

The aim of this study was to evaluate the efficacy of two Internet-based interventions (basic mindfulness and Health Action Process Approach enhanced mindfulness) with waitlist control. Health Action Process Approach (HAPA) principles were used to enhance participants’ efficacy and planning.

Methods

Participants were recruited online and offline among local universities; 321 university students and staff were randomly assigned to three conditions. The basic and HAPA-enhanced groups completed the 8-week fully automated mindfulness training online. All participants (including control) were asked to complete an online questionnaire pre-program, post-program, and at 3-month follow-up.

Results

Significant group by time interaction effect was found. The HAPA-enhanced group showed significantly higher levels of mindfulness from pre-intervention to post-intervention, and such improvement was sustained at follow-up. Both the basic and HAPA-enhanced mindfulness groups showed better mental well-being from pre-intervention to post-intervention, and improvement was sustained at 3-month follow-up.

Conclusions

Online mindfulness training can improve mental health. An online platform is a viable medium to implement and disseminate evidence-based interventions and is a highly scalable approach to reach the general public.

Trial Registration

Chinese Clinical Trial Registry (ChiCTR): ChiCTR-TRC-12002954; http://www.chictr.org/en/proj/show.aspx?proj=3904 (Archived by WebCite at http://www.webcitation.org/6VCdG09pA).

Breaking Open the Black Box: Isolating the Most Potent Features of a Web and Mobile Phone-Based Intervention for Depression, Anxiety, and Stress

BACKGROUND

Internet-delivered mental health (eMental Health) interventions produce treatment effects similar to those observed in face-to-face treatment. However, there is a large degree of variation in treatment effects observed from program to program, and eMental Health interventions remain somewhat of a black box in terms of the mechanisms by which they exert their therapeutic benefit. Trials of eMental Health interventions typically use large sample sizes and therefore provide an ideal context within which to systematically investigate the therapeutic benefit of specific program features. Furthermore, the growth and impact of mobile phone technology within eMental Health interventions provides an opportunity to examine associations between symptom improvement and the use of program features delivered across computer and mobile phone platforms.

OBJECTIVE

The objective of this study was to identify the patterns of program usage associated with treatment outcome in a randomized controlled trial (RCT) of a fully automated, mobile phone- and Web-based self-help program, "myCompass", for individuals with mild-to-moderate symptoms of depression, anxiety, and/or stress. The core features of the program include interactive psychotherapy modules, a symptom tracking feature, short motivational messages, symptom tracking reminders, and a diary, with many of these features accessible via both computer and mobile phone.

METHODS

Patterns of program usage were recorded for 231 participants with mild-to-moderate depression, anxiety, and/or stress, and who were randomly allocated to receive access to myCompass for seven weeks during the RCT. Depression, anxiety, stress, and functional impairment were examined at baseline and at eight weeks.

RESULTS

Log data indicated that the most commonly used components were the short motivational messages (used by 68.4%, 158/231 of participants) and the symptom tracking feature (used by 61.5%, 142/231 of participants). Further, after controlling for baseline symptom severity, increased use of these alert features was associated with significant improvements in anxiety and functional impairment. Associations between use of symptom tracking reminders and improved treatment outcome remained significant after controlling for frequency of symptom tracking. Although correlations were not statistically significant, reminders received via SMS (ie, text message) were more strongly associated with symptom reduction than were reminders received via email.

CONCLUSIONS

These findings indicate that alerts may be an especially potent component of eMental Health interventions, both via their association with enhanced program usage, as well as independently. Although there was evidence of a stronger association between symptom improvement and use of alerts via the mobile phone platform, the degree of overlap between use of email and SMS alerts may have precluded identification of alert delivery modalities that were most strongly associated with symptom reduction. Future research using random assignment to computer and mobile delivery is needed to fully determine the most ideal platform for delivery of this and other features of online interventions.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ACTRN): 12610000625077; http://www.anzctr.org.au/TrialSearch.aspx? (Archived by WebCite http://www.webcitation.org/6WPqHK0mQ).

Posttreatment attrition and its predictors, attrition bias, and treatment efficacy of the anxiety online programs

Background

Although relatively new, the field of e-mental health is becoming more popular with more attention given to researching its various aspects. However, there are many areas that still need further research, especially identifying attrition predictors at various phases of assessment and treatment delivery.

Objective

The present study identified the predictors of posttreatment assessment completers based on 24 pre- and posttreatment demographic and personal variables and 1 treatment variable, their impact on attrition bias, and the efficacy of the 5 fully automated self-help anxiety treatment programs for generalized anxiety disorder (GAD), social anxiety disorder (SAD), panic disorder with or without agoraphobia (PD/A), obsessive-compulsive disorder (OCD), and posttraumatic stress disorder (PTSD).

Methods

A complex algorithm was used to diagnose participants’ mental disorders based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition, Text Revision; DSM-IV-TR). Those who received a primary or secondary diagnosis of 1 of 5 anxiety disorders were offered an online 12-week disorder-specific treatment program. A total of 3199 individuals did not formally drop out of the 12-week treatment cycle, whereas 142 individuals formally dropped out. However, only 347 participants who completed their treatment cycle also completed the posttreatment assessment measures. Based on these measures, predictors of attrition were identified and attrition bias was examined. The efficacy of the 5 treatment programs was assessed based on anxiety-specific severity scores and 5 additional treatment outcome measures.

Results

On average, completers of posttreatment assessment measures were more likely to be seeking self-help online programs; have heard about the program from traditional media or from family and friends; were receiving mental health assistance; were more likely to learn best by reading, hearing and doing; had a lower pretreatment Kessler-6 total score; and were older in age. Predicted probabilities resulting from these attrition variables displayed no significant attrition bias using Heckman’s method and thus allowing for the use of completer analysis. Six treatment outcome measures (Kessler-6 total score, number of diagnosed disorders, self-confidence in managing mental health issues, quality of life, and the corresponding pre- and posttreatment severity for each program-specific anxiety disorder and for major depressive episode) were used to assess the efficacy of the 5 anxiety treatment programs. Repeated measures MANOVA revealed a significant multivariate time effect for all treatment outcome measures for each treatment program. Follow-up repeated measures ANOVAs revealed significant improvements on all 6 treatment outcome measures for GAD and PTSD, 5 treatment outcome measures were significant for SAD and PD/A, and 4 treatment outcome measures were significant for OCD.

Conclusions

Results identified predictors of posttreatment assessment completers and provided further support for the efficacy of self-help online treatment programs for the 5 anxiety disorders.

Trial Registration

Australian and New Zealand Clinical Trials Registry ACTRN121611000704998; http://www.anzctr.org.au/trial_view.aspx?ID=336143 (Archived by WebCite at http://www.webcitation.org/618r3wvOG).

Retaining homeless veterans in outpatient care: a pilot study of mobile phone text message appointment reminders

OBJECTIVES

We examined the feasibility of using mobile phone text messaging with homeless veterans to increase their engagement in care and reduce appointment no-shows.

METHODS

We sent 2 text message reminders to participants (n = 20) before each of their outpatient appointments at an urban Veterans Affairs medical center. Evaluation included pre- and postsurvey questionnaires, open-ended questions, and review of medical records. We estimated costs and savings of large-scale implementation.

RESULTS

Participants were satisfied with the text-messaging intervention, had very few technical difficulties, and were interested in continuing. Patient-cancelled visits and no-shows trended downward from 53 to 37 and from 31 to 25, respectively. Participants also experienced a statistically significant reduction in emergency department visits, from 15 to 5 (difference of 10; 95% confidence interval [CI]  = 2.2, 17.8; P = .01), and a borderline significant reduction in hospitalizations, from 3 to 0 (difference of 3; 95% CI = -0.4, 6.4; P = .08).

CONCLUSIONS

Text message reminders are a feasible means of reaching homeless veterans, and users consider it acceptable and useful. Implementation may reduce missed visits and emergency department use, and thus produce substantial cost savings.

Perceptions of chronically ill and healthy consumers about electronic personal health records: a comparative empirical investigation

OBJECTIVE

To develop a model of consumer perceptions of electronic personal health records (PHRs) and validate it in a comparative study between consumers who report having a chronic illness and those who report being well.

MATERIALS AND METHODS

A model of PHR use motivators and barriers was built and tested through a national survey across Canada. Data were collected from 800 individuals, 18 years or older. Half reported having a chronic illness or disability and half reported being well. Analyses were performed with structural equation modelling techniques.

RESULTS

A total of 389 answers from chronically ill and 383 from well participants were collected. Perceived usefulness was the key explanation of the intention to use PHRs for both ill and well people (total effect of 0.601 and 0.565, respectively) followed by security, privacy and trust in PHRs (total effect of 0.377 and 0.479, respectively). Conversely, computer anxiety was perceived as a significant barrier (total effect of -0.327 for ill individuals and -0.212 for well individuals).

DISCUSSION

The model proposed was appropriate in explaining key consumer positive and negative perceptions on electronic PHR use. We found little difference in perceptions of electronic PHRs between chronically ill and well individuals, although self-reporting their health status might have influenced the results.

CONCLUSIONS

To increase the adoption rate of electronic PHRs among both chronically ill and well consumers it is necessary to reinforce consumer perceptions of the usefulness of and trust in these eHealth technologies while mitigating their anxieties about computer use in general.

Online anonymous discussion between service users and health professionals to ascertain stakeholder concerns in using e-health services in mental health

Implementation of e-health in mental health services requires that we are aware of stakeholders' concerns. We ascertained the views of mental health professionals and mental health service users through the (1) development of 12 topics based on the research literature, (2) presentation to 31 participants (19 mental health professionals and 12 mental health service users) and discussion in three 1-week programmes, (3) thematic analysis of transcripts, and (4) comparison with the literature to identify areas requiring attention in e-health implementation. This method of engaging mental health service users and mental health professionals was effective. We identified areas that (1) should be the first to implement (e.g. discussion forums, email, and Skype), (2) where further education and engagement are necessary before e-health methods could be used (e.g. unsupported computerised cognitive behavioural therapy, computer-patient interviewing, and patient access to online medical records), and (3) for further research (e.g. the impact of bad online experiences).

Pretreatment attrition and formal withdrawal during treatment and their predictors: an exploratory study of the anxiety online data

BACKGROUND

Although in its infancy, the field of e-mental health interventions has been gaining popularity and afforded considerable research attention. However, there are many gaps in the research. One such gap is in the area of attrition predictors at various stages of assessment and treatment delivery.

OBJECTIVE

This exploratory study applied univariate and multivariate analysis to a large dataset provided by the Anxiety Online (now called Mental Health Online) system to identify predictors of attrition in treatment commencers and in those who formally withdrew during treatment based on 24 pretreatment demographic and personal variables and one clinical measure.

METHODS

Participants were assessed using a complex online algorithm that resulted in primary and secondary diagnoses in accordance with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR). Those who received a primary or secondary diagnosis of 1 of 5 anxiety disorders (generalized anxiety disorder, social anxiety disorder, obsessive-compulsive disorder, posttraumatic stress disorder, and panic disorder) were offered an online 12-week disorder-specific treatment program.

RESULTS

Of 9394 potential participants, a total of 3880 clients enrolled and 5514 did not enroll in one of the treatment programs following the completion of pretreatment assessment measures (pretreatment attrition rate: 58.70%). A total of 3199 individuals did not formally withdraw from the 12-week treatment cycle, whereas 142 individuals formally dropped out (formal withdrawal during treatment dropout rate of 4.25%). The treatment commencers differed significantly (P<.001-.03) from the noncommencers on several variables (reason for registering, mental health concerns, postsecondary education, where first heard about Anxiety Online, Kessler-6 score, stage of change, quality of life, relationship status, preferred method of learning, and smoking status). Those who formally withdrew during treatment differed significantly (P=.002-.03) from those who did not formally withdraw in that they were less likely to express concerns about anxiety, stress, and depression; to rate their quality of life as very poor, poor, or good; to report adequate level of social support; and to report readiness to make or were in the process of making changes.

CONCLUSIONS

This exploratory study identified predictors of pretreatment attrition and formal withdrawal during treatment dropouts for the Anxiety Online program.

TRIAL REGISTRATION

Australian and New Zealand Clinical Trials Registry ACTRN121611000704998; http://www.anzctr.org.au/trial_view.aspx?ID=336143 (Archived by WebCite at http://www.webcitation.org/618r3wvOG).

Netmums: a phase II randomized controlled trial of a guided Internet behavioural activation treatment for postpartum depression

BACKGROUND

Despite the high prevalence of postnatal depression (PND), few women seek help. Internet interventions may overcome many of the barriers to PND treatment use. We report a phase II evaluation of a 12-session, modular, guided Internet behavioural activation (BA) treatment modified to address postnatal-specific concerns [Netmums Helping With Depression (NetmumsHWD)].

METHOD

To assess feasibility, we measured recruitment and attrition to the trial and examined telephone session support and treatment adherence. We investigated sociodemographic and psychological predictors of treatment adherence. Effectiveness outcomes were estimated with the Edinburgh Postnatal Depression Scale (EPDS), Generalized Anxiety Disorder-7, Work and Social Adjustment Scale, Postnatal Bonding Questionnaire, and Social Provisions Scale.

RESULTS

A total of 249 women were recruited via a UK parenting site, Netmums.com. A total of 83 women meeting DSM-IV criteria for major depressive disorder were randomized to NetmumsHWD (n = 41) or treatment-as-usual (TAU; n = 42). Of the 83 women, 71 (86%) completed the EPDS at post-treatment, and 71% (59/83) at the 6-month follow-up. Women completed an average of eight out of 12 telephone support sessions and five out of 12 modules. Working women and those with less support completed fewer modules. There was a large effect size favouring women who received NetmumsHWD on depression, work and social impairment, and anxiety scores at post-treatment compared with women in the TAU group, and a large effect size on depression at 6 months post-treatment. There were small effect sizes for postnatal bonding and perceived social support.

CONCLUSIONS

A supported, modular, Internet BA programme can be feasibly delivered to postpartum women, offering promise to improve depression, anxiety and functioning.

An outcomes study of eTherapy for dual diagnosis using Breaking Free Online

Purpose

– In recent years there has been a proliferation of computer-based psychotherapeutic interventions for common mental health difficulties. Building on this, a small number of such interventions have now been developed to address substance dependence, one of which is Breaking Free Online (BFO). A new “eTherapy” self-help service, which was set up by the UK mental health charity Self-Help Services, has provided access to BFO to service users presenting with comorbid mental health and substance misuse difficulties. The purpose of this paper is to evaluate a range of clinical outcomes in the first cohort of service users accessing this dual diagnosis service.

Design/methodology/approach

– A number of standardised psychometric assessments were conducted with service users at baseline and post-treatment at discharge from the service. Outcome data were available for 47 service users out of an original cohort of 74.

Findings

– Statistically significant improvements were found in terms of measures of social functioning, depression, anxiety, alcohol and drug use and social anxiety. Clinically relevant gains were also identified, with fewer service users reaching threshold scores for depression and anxiety at post-treatment compared to baseline. Effect sizes also indicated that the identified improvements across the psychometric measures were robust and significant.

Research limitations/implications

– These findings provide further support for the clinical effectiveness of BFO, and also provide evidence that an eTherapy self-help service may be appropriate for some individuals presenting with dual diagnosis. Further research is underway with larger and alternative clinical populations to examine the effectiveness of BFO and also this novel eTherapy self-help approach.

Originality/value

– This paper has provided initial data to support effectiveness of a novel eTherapy service for dual diagnosis.

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.

Computerized recovery support for substance use disorders: predictors of posttreatment usage

OBJECTIVE

The primary goal of this study was to examine which characteristics differentiated patients who highly engaged with a computerized recovery support program after alcohol/drug treatment from those who did not engage with the program.

MATERIALS AND METHODS

The program delivered individually tailored clinical content in a multimedia format over 18 months following residential treatment. A key component of the program was access to a recovery coach, a licensed drug and alcohol counselor. Posttreatment logins to the program, the amount of clinical content accessed, and the number of recovery coach contacts were measured.

RESULTS

Several factors were found to predict program engagement, including several demographic variables, the number of recovery coach contacts, motivation to be in recovery, and attendance at 12-step groups.

CONCLUSIONS

These findings, combined with others in the literature, suggest that low engagement with computerized health programs is a widespread problem. Because many of these programs show therapeutic promise, future studies should continue to increase understanding of factors associated with high engagement so that efforts to increase engagement may be applied more effectively.

Participant retention in an automated online monthly depression rescreening program: patterns and predictors

Internet-based mental health resources often suffer from low engagement and retention. An increased understanding of engagement and attrition is needed to realize the potential of such resources. In this study, 45,142 individuals were screened for depression by an automated online screener, with 2,539 enrolling in a year-long monthly rescreening study; they received a single monthly reminder email to rescreen their mood. We found that, even with such a minimal cohort maintenance strategy, a third of the participants completed 1 or more follow-ups, and 22% completed 2 or more follow-ups. Furthermore, completion of earlier follow-ups was highly predictive of future completions. We also found a number of participant characteristics (e.g., current depression status, previous depression treatment seeking, education level) predicted follow-up rates, singly or in interactions.

The 1% rule in four digital health social networks: an observational study

BACKGROUND

In recent years, cyberculture has informally reported a phenomenon named the 1% rule, or 90-9-1 principle, which seeks to explain participatory patterns and network effects within Internet communities. The rule states that 90% of actors observe and do not participate, 9% contribute sparingly, and 1% of actors create the vast majority of new content. This 90%, 9%, and 1% are also known as Lurkers, Contributors, and Superusers, respectively. To date, very little empirical research has been conducted to verify the 1% rule.

OBJECTIVE

The 1% rule is widely accepted in digital marketing. Our goal was to determine if the 1% rule applies to moderated Digital Health Social Networks (DHSNs) designed to facilitate behavior change.

METHODS

To help gain insight into participatory patterns, descriptive data were extracted from four long-standing DHSNs: the AlcoholHelpCenter, DepressionCenter, PanicCenter, and StopSmokingCenter sites.

RESULTS

During the study period, 63,990 actors created 578,349 posts. Less than 25% of actors made one or more posts. The applicability of the 1% rule was confirmed as Lurkers, Contributors, and Superusers accounted for a weighted average of 1.3% (n=4668), 24.0% (n=88,732), and 74.7% (n=276,034) of content.

CONCLUSIONS

The 1% rule was consistent across the four DHSNs. As social network sustainability requires fresh content and timely interactions, these results are important for organizations actively promoting and managing Internet communities. Superusers generate the vast majority of traffic and create value, so their recruitment and retention is imperative for long-term success. Although Lurkers may benefit from observing interactions between Superusers and Contributors, they generate limited or no network value. The results of this study indicate that DHSNs may be optimized to produce network effects, positive externalities, and bandwagon effects. Further research in the development and expansion of DHSNs is required.

Internet-based interventions for cancer-related distress: exploring the experiences of those whose needs are not met

OBJECTIVE

Low levels of engagement in Internet-based interventions are common. Understanding users' experiences with these interventions is a key to improving efficacy. Although qualitative methods are well-suited for this purpose, few qualitative studies have been conducted in this area. In the present study, we assessed experiences with an Internet-based intervention among cancer survivors who made minimal use of the intervention.

METHODS

Semi-structured interviews were conducted with 25 cancer survivors who were minimally engaged (i.e., spent around 1 h total on website) with the online intervention, health-space.net. The intervention was a 12-week, facilitated support group with social and informational components. Interviews were analyzed using an interpretive descriptive design.

RESULTS

Three broad categories, consisting of 18 specific themes, were identified from the interviews, which included connecting with similar others, individual expectations, and problems with the site (Κ = 0.88). The 'similar others' category reflected the significance of interacting with relatable survivors (i.e., same cancer type), the 'individual expectations' category reflected the significance of participants' expectations about using online interventions (i.e., personally relevant information), and the 'problems with the site' category reflected the significance of study procedures (i.e., website structure).

CONCLUSIONS

The data indicate that minimally engaged participants have high variability regarding their needs and preferences for Internet-based interventions. Using qualitative methodologies to identify and incorporate these needs into the next generation of interventions has the potential to increase engagement and outcomes. The current study provides a foundation for future research to characterize survivors' needs and offer suggestions for better meeting these needs.

Partnership for health-2, a web-based versus print smoking cessation intervention for childhood and young adult cancer survivors: randomized comparative effectiveness study

BACKGROUND

Smoking among cancer survivors increases the risk of late effects and second cancers. This article reports on Partnership for Health-2 (PFH-2)-an effort to develop an effective and scalable version of Partnership for Health (PFH), which was a previously tested peer-delivered telephone counseling program that doubled smoking cessation rates among childhood cancer survivors who smoke.

OBJECTIVE

This paper presents results from a randomized controlled trial evaluating the effectiveness of PFH-2 in targeted and tailored Web-based versus print formats. The overall goal was to determine whether the intervention outcomes in these self-guided scalable formats approximate what was found in a more intensive telephone counseling program.

METHODS

This study was a randomized controlled trial with a 15-month follow-up that included 374 smokers who were survivors of childhood or young adult cancers, recruited from five survivorship clinics. Participants were randomly assigned to a Web-based or print format of the PFH intervention; all had access to free pharmacotherapy. The website was designed to provide new content at each log-on, and a peer counselor moderated a forum/chat feature. The primary outcome was smoking status at 15 months post randomization.

RESULTS

In total, 58.3% (77/132) of Web participants logged on at least once (mean visits 3.25). Using multiple imputation methods for missing data, there were similar rates of cessation in the two arms (print: 20/128, 15.6%; Web: 33/201, 6.4%), and no differences in quit attempts or readiness to quit. The quit rates were equivalent to those found in our previous telephone counseling intervention. There were high rates of satisfaction with both of the PFH-2 interventions.

CONCLUSIONS

The print and Web formats yielded equivalent levels of success to those found with our telephone-delivered intervention and are comparable to other Internet treatment studies. This study provides important options for survivorship programs that may not have resources for interpersonal forms of cessation counseling. Efforts to increase patient use of the interventions may result in higher cessation rates.

Internet-based behavioral activation--treatment for postnatal depression (Netmums): a randomized controlled trial

BACKGROUND

Despite the high prevalence of postnatal depression (PND), few women seek help. The internet may increase timely access to treatment. We report a randomized controlled trial of a minimal intervention internet Behavioral Activation (iBA) treatment modified to address postnatal specific concerns (Postnatal-iBA).

METHODS

Women (n=910) recruited via a popular UK parenting site, Netmums.com, scoring above 12 on the Edinburgh Postnatal Depression Scale (EPDS) were randomly assigned to receive either Postnatal-iBA delivered or treatment-as-usual (TAU). We investigated the feasibility (recruitment, trial and treatment adherence) and effectiveness (depression status EPDS >12) of the intervention.

RESULTS

Recruitment was excellent; 1261 women, 961 of whom met inclusion criteria, signed up to the trial within two 2-week recruitment periods. Thirty-eight percent (343/910) of women completed the 15-week outcome assessment. Of those who completed 15-week assessment, fewer exceeded the depression cutoff in the Postnatal-iBA group (n=66/181) compared to TAU (n=91/162). Assuming all non-respondents remained depressed, the Postnatal-iBA effect was reduced.

LIMITATIONS

The study suffered from high attrition and future trials need to consider strategies for improving outcome completion. Some women reported struggles "keeping up" with the treatment.

CONCLUSIONS

A minimal support, widely accessible internet Behavioral Activation program for PND is feasible to deliver to community populations when embedded within popular parenting sites. For women who provide outcome data, postnatal-iBA offers promise as an effective treatment for PND. The addition of support may reduce women's struggles to keep pace with the treatment.

Participants, usage, and use patterns of a web-based intervention for the prevention of depression within a randomized controlled trial

Background

Although Web-based interventions have been shown to be effective, they are not widely implemented in regular care. Nonadherence (ie, participants not following the intervention protocol) is an issue. By studying the way Web-based interventions are used and whether there are differences between adherers (ie, participants that started all 9 lessons) and nonadherers, more insight can be gained into the process of adherence.

Objective

The aims of this study were to (1) describe the characteristics of participants and investigate their relationship with adherence, (2) investigate the utilization of the different features of the intervention and possible differences between adherers and nonadherers, and (3) identify what use patterns emerge and whether there are differences between adherers and nonadherers.

Methods

Data were used from 206 participants that used the Web-based intervention Living to the full, a Web-based intervention for the prevention of depression employing both a fully automated and human-supported format. Demographic and baseline characteristics of participants were collected by using an online survey. Log data were collected within the Web-based intervention itself. Both quantitative and qualitative analyses were performed.

Results

In all, 118 participants fully adhered to the intervention (ie, started all 9 lessons). Participants with an ethnicity other than Dutch were more often adherers (χ²₁=5.5, P=.02), and nonadherers used the Internet more hours per day on average (F_1,203=3.918, P=.049). A logistic regression showed that being female (OR 2.02, 95% CI 1.01-4.04; P=.046) and having a higher need for cognition (OR 1.02; 95% CI 1.00-1.05; P=.02) increased the odds of adhering to the intervention. Overall, participants logged in an average of 4 times per lesson, but adherers logged in significantly more times per lesson than nonadherers (F_1,204=20.710; P<.001). For use patterns, we saw that early nonadherers seemed to use fewer sessions and spend less time than late nonadherers and adherers, and fewer sessions to complete the lesson than adherers. Furthermore, late nonadherers seemed to have a shorter total duration of sessions than adherers.

Conclusions

By using log data combined with baseline characteristics of participants, we extracted valuable lessons for redesign of this intervention and the design of Web-based interventions in general. First, although characteristics of respondents can significantly predict adherence, their predictive value is small. Second, it is important to design Web-based interventions to foster adherence and usage of all features in an intervention.

Trial Registration

Dutch Trial Register Number: NTR3007; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=3007 (Archived by WebCite at http://www.webcitation.org/6ILhI3rd8).

Assessing your mood online: acceptability and use of Moodscope

BACKGROUND

Moodscope is an entirely service-user-developed online mood-tracking and feedback tool with built-in social support, designed to stabilize and improve mood. Many free internet tools are available with no assessment of acceptability, validity or usefulness. This study provides an exemplar for future assessments. Method A mixed-methods approach was used. Participants with mild to moderate low mood used the tool for 3 months. Correlations between weekly assessments using the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder Assessment (GAD-7) with daily Moodscope scores were examined to provide validity data. After 3 months, focus groups and questionnaires assessed use and usability of the tool.

RESULTS

Moodscope scores were correlated significantly with scores on the PHQ-9 and the GAD-7 for all weeks, suggesting a valid measure of mood. Low rates of use, particularly toward the end of the trial, demonstrate potential problems relating to ongoing motivation. Questionnaire data indicated that the tool was easy to learn and use, but there were concerns about the mood adjectives, site layout and the buddy system. Participants in the focus groups found the tool acceptable overall, but felt clarification of the role and target group was required.

CONCLUSIONS

With appropriate adjustments, Moodscope could be a useful tool for clinicians as a way of initially identifying patterns and influences on mood in individuals experiencing low mood. For those who benefit from ongoing mood tracking and the social support provided by the buddy system, Moodscope could be an ongoing adjunct to therapy.

Suitability and acceptability of computerised cognitive behaviour therapy for anxiety disorders in secondary care

OBJECTIVE

To evaluate the suitability and acceptability of computerised cognitive behaviour therapy (CCBT).

METHOD

Participants were patients who had been referred to a secondary care service in the usual manner, and then offered participation in a randomised controlled trial comparing the efficacy of CCBT with a control condition (waitlist) for patients with a current primary diagnosis of generalised anxiety disorder, panic disorder or social phobia. Data were collected regarding the recruitment and retention of patients, and patient ratings (anchored Likert scales) of treatment credibility, treatment satisfaction, treatment acceptability and telephone support.

RESULTS

A total of 1141 referrals were received by the secondary care service. Of the 1141, 748 (66%) were not suitable for the study, 178 (16%) declined to participate and 127 (11%) were not contactable. Therefore, of the 1141 patients referred to the secondary care service, only 88 patients (8%) were eligible and consenting for the study. The single most common reason for patients not being suitable for the study was that the referral was urgent. In a clinical setting where CCBT could be used alongside clinical management, many of these patients may have been suitable for CCBT. Of the patients randomised to treatment (n = 40), 65% completed treatment. Drop-out rates were not significantly different across diagnostic groups. The single most commonly cited reason for not completing treatment was 'too busy'. Patient ratings of treatment were typically favourable (credibility, satisfaction, acceptability and telephone support).

CONCLUSIONS

CCBT was typically rated favourably by patients referred to a secondary care service and randomised to treatment. However, only a small minority of patients was eligible and consenting for the trial. Therefore, while CCBT may be an acceptable treatment, its suitability for secondary care settings remains unclear.

Cancer patient and survivor research from the cancer information service research consortium: a preview of three large randomized trials and initial lessons learned

The authors describe 3 large randomized trials from the Cancer Information Service Research Consortium. Three web-based multimedia programs are being tested to help newly diagnosed prostate (Project 1) and breast cancer patients (Project 2) make informed treatment decisions and breast cancer patients prepare for life after treatment (Project 3). Project 3 also tests a telephone callback intervention delivered by a cancer information specialist. All participants receive standard print material specific to each project. Preliminary results from the 2-month follow-up interviews are reported for the initial wave of enrolled participants, most of whom were recruited from the Cancer Information Service (1-800-4-CANCER) telephone information program (Project 1: n =208; Project 2: n =340; Project 3: n =792). Self-reported use of the multimedia program was 51%, 52%, and 67% for Projects 1, 2, and 3, respectively. Self-reported use of the print materials (read all, most, or some) was 90%, 85%, and 83% for Projects 1, 2, and 3, respectively. The callback intervention was completed by 92% of Project 3 participants. Among those using the Cancer Information Service Research Consortium interventions, perceived usefulness and benefit was high, and more than 90% reported that they would recommend them to other cancer patients. The authors present 5 initial lessons learned that may help inform future cancer communications research.

Web-Based Intervention for Postpartum Depression: Formative Research and Design of the MomMoodBooster Program

Background

Postpartum depression is a significant public health problem affecting approximately 13% of women. There is strong evidence supporting Cognitive Behavioral Therapy (CBT) for successful psychosocial treatment. This treatment model combines cognitive and behavioral strategies to address pessimism, attributions for failure, low self-esteem, low engagement in pleasant activities, social withdrawal, anxiety, and low social support. Encouraging results have been reported for using Web-based CBT interventions for mental health domains, including the treatment of panic disorder, post-traumatic stress disorder, and complicated grief and depression. To date, however, Web-based interventions have not been used and evaluated specifically for the treatment of postpartum depression.

Objective

We describe the formative work that contributed to the development of our Web-based intervention for helping to ameliorate symptoms of postpartum depression, and the design and key components of the program.

Methods

A total of 17 focus group participants and 22 usability testers, who shared key characteristics with the participants of our planned feasibility study, took part.

The proposed structure and ingredients of the program and mock-ups of selected webpages were presented to focus group participants. At various points, participants were asked a series of thought questions designed to elicit opinions and set the occasion for group discussion. At the end of the session, participants were asked to describe their overall reaction to the proposed features of the program emphasizing candid opinions about what they did not like and features they thought were missing and should be added.

Usability testers were asked to interact with a series of seven different Web-based interactions planned for the program while receiving minimal direction. Each tester was asked to describe her thoughts using a think-aloud technique. They were then asked to consider all that they had learned about the program and complete the System Usability Scale that we adapted slightly to be appropriate for evaluating the proposed website.

Transcripts from the focus groups and usability tests were reviewed by research team members for overarching themes with particular emphasis on suggested changes. A list emerged, and iterative and incremental adjustments were made as a result.

Results

The qualitative and quantitative data gathered in the focus groups and usability sessions reported here suggest that the new mothers involved had largely positive reactions to the major features of the program and that those program features performed well in terms of usability.

Conclusions

An overview of the eventual design, architecture, and key program ingredients of the MomMoodBooster program is provided including innovative features supplementing 6 core CBT sessions, which include a partner’s website, a library, and individual feedback by a personal coach.

Persuasive system design does matter: a systematic review of adherence to web-based interventions

Background

Although web-based interventions for promoting health and health-related behavior can be effective, poor adherence is a common issue that needs to be addressed. Technology as a means to communicate the content in web-based interventions has been neglected in research. Indeed, technology is often seen as a black-box, a mere tool that has no effect or value and serves only as a vehicle to deliver intervention content. In this paper we examine technology from a holistic perspective. We see it as a vital and inseparable aspect of web-based interventions to help explain and understand adherence.

Objective

This study aims to review the literature on web-based health interventions to investigate whether intervention characteristics and persuasive design affect adherence to a web-based intervention.

Methods

We conducted a systematic review of studies into web-based health interventions. Per intervention, intervention characteristics, persuasive technology elements and adherence were coded. We performed a multiple regression analysis to investigate whether these variables could predict adherence.

Results

We included 101 articles on 83 interventions. The typical web-based intervention is meant to be used once a week, is modular in set-up, is updated once a week, lasts for 10 weeks, includes interaction with the system and a counselor and peers on the web, includes some persuasive technology elements, and about 50% of the participants adhere to the intervention. Regarding persuasive technology, we see that primary task support elements are most commonly employed (mean 2.9 out of a possible 7.0). Dialogue support and social support are less commonly employed (mean 1.5 and 1.2 out of a possible 7.0, respectively). When comparing the interventions of the different health care areas, we find significant differences in intended usage (p = .004), setup (p < .001), updates (p < .001), frequency of interaction with a counselor (p < .001), the system (p = .003) and peers (p = .017), duration (F = 6.068, p = .004), adherence (F = 4.833, p = .010) and the number of primary task support elements (F = 5.631, p = .005). Our final regression model explained 55% of the variance in adherence. In this model, a RCT study as opposed to an observational study, increased interaction with a counselor, more frequent intended usage, more frequent updates and more extensive employment of dialogue support significantly predicted better adherence.

Conclusions

Using intervention characteristics and persuasive technology elements, a substantial amount of variance in adherence can be explained. Although there are differences between health care areas on intervention characteristics, health care area per se does not predict adherence. Rather, the differences in technology and interaction predict adherence. The results of this study can be used to make an informed decision about how to design a web-based intervention to which patients are more likely to adhere.

The effectiveness of online cognitive behavioral treatment in routine clinical practice

CONTEXT

Randomized controlled trails have identified online cognitive behavioral therapy as an efficacious intervention in the management of common mental health disorders.

OBJECTIVE

To assess the effectiveness of online CBT for different mental disorders in routine clinical practice.

DESIGN

An uncontrolled before-after study, with measurements at baseline, posttest, 6-week follow-up, and 1-year follow-up.

PARTICIPANTS & SETTING

1500 adult patients (female: 67%; mean age: 40 years) with a GP referral for psychotherapy were treated at a Dutch online mental health clinic for symptoms of depression (n = 413), panic disorder (n = 139), posttraumatic stress (n = 478), or burnout (n = 470).

INTERVENTIONS

Manualized, web-based, therapist-assisted CBT, of which the efficacy was previously demonstrated in a series of controlled trials. Standardized duration of treatment varied from 5 weeks (online CBT for Posttraumatic stress) to 16 weeks (online CBT for Depression).

MAIN OUTCOME MEASURES

Validated self-report questionnaires of specific and general psychopathology, including the Beck Depression Inventory, the Impact of Event Scale, the Panic Disorder Severity Scale-Self Report, the Oldenburg Burnout Inventory, and the Depression Anxiety Stress Scales.

RESULTS

Treatment adherence was 71% (n = 1071). Study attrition was 21% at posttest, 33% at 6-week FU and 65% at 1-year FU. Mixed-model repeated measures regression identified large short-term reductions in all measures of primary symptoms (d = 1.9±0.2 to d = 1.2±0.2; P<.001), which sustained up to one year after treatment. At posttest, rates of reliable improvement and recovery were 71% and 52% in the completer sample (full sample: 55%/40%). Patient satisfaction was high.

CONCLUSIONS

Results suggest that online therapist-assisted CBT may be as effective in routine practice as it is in clinical trials. Although pre-treatment withdrawal and long-term outcomes require further study, results warrant continued implementation of online CBT.

Effectiveness of computerised cognitive behaviour therapy for anxiety disorders in secondary care

OBJECTIVE

This study aimed to compare the effectiveness of computerised cognitive behaviour therapy (CCBT) with a wait list control (WLC) for the treatment of patients with an anxiety disorder (social phobia, panic disorder, generalised anxiety disorder) referred to a specialist, publically funded, outpatient anxiety service.

METHOD

Patients with social phobia (n = 37), panic disorder (n = 32) or generalised anxiety disorder (n = 14) were randomised to treatment with either CCBT (n = 40) or WLC (n = 43). Self-report rating scale assessments were conducted at baseline, 12 and 24 weeks.

RESULTS

Compared with WLC, the CCBT group improved significantly on approximately half of the self-report primary (the Work and Social Adjustment Scale) and approximately half of the secondary measures at both 12 and 24 weeks (the Liebowitz Social Anxiety Scale, the Penn State Worry Questionnaire, the Generalised Anxiety inventory and the Fear Questionnaire). Effect sizes in this study were moderate.

CONCLUSION

This is one of the few studies to investigate CCBT for anxiety disorders in patients in a secondary care service. The results show that CCBT in this secondary care setting has the potential to be beneficial and confirms and extends the findings from previous studies of self-referral or primary care settings.

Superusers in social networks for smoking cessation: analysis of demographic characteristics and posting behavior from the Canadian Cancer Society's smokers' helpline online and StopSmokingCenter.net

BACKGROUND

Online social networks are popular components of behavior-change websites. Research has identified the participation of certain network members who assume leadership roles by providing support, advice, and direction to other members. In the literature, these individuals have been variously defined as key players, posters, active users, or caretakers. Despite their identification, very little research has been conducted on the contributions or demographic characteristics of this population. For this study, we collectively categorized key players, posters, active users, and caretakers as superusers.

OBJECTIVES

To analyze data from two large but distinct Web-assisted tobacco interventions (WATI) to help gain insight into superuser demographic characteristics and how they use social networks.

METHODS

We extracted cross-sectional data sets containing posting behaviors and demographic characteristics from a free, publicly funded program (the Canadian Cancer Society's Smokers' Helpline Online: SHO), and a free, privately run program (StopSmokingCenter.net: SSC).

RESULTS

Within the reporting period (SHO: June 26, 2008 to October 12, 2010; SSC: May 17, 2007 to October 12, 2010), 21,128 individuals registered for the SHO and 11,418 registered for the SSC. Within the same period, 1670 (7.90%) registrants made at least one post in the SHO social network, and 1627 (14.25%) registrants made at least one post in the SSC social network. SHO and SSC superusers accounted for 0.4% (n = 95) and 1.1% (n = 124) of all registrants, and 5.7% (95/1670) and 7.62% (124/1627) of all social network participants, and contributed to 34.78% (29,422/84,599) and 46.22% (61,820/133,753) of social network content, respectively. Despite vast differences in promotion and group management rules, and contrary to the beliefs of group moderators, there were no statistically significant differences in demographic characteristics between the two superuser groups.

CONCLUSIONS

To our knowledge, this is the first study that compared demographic characteristics and posting behavior from two separate eHealth social networks. Despite vast differences in promotional efforts and management styles, both WATI attracted superusers with similar characteristics. As superusers drive network traffic, organizations promoting or supporting WATI should dedicate resources to encourage superuser participation. Further research regarding member dynamics and optimization of social networks for health care purposes is required.

Motivators and motivations to persist with online psychological interventions: a qualitative study of treatment completers

BACKGROUND

Many users of Internet interventions do not persist with the full treatment program. As persistence may influence outcomes of such interventions, being able to maximize persistence is vital. However, while studies have begun to explore the predictors of dropout in Internet interventions, few have explored reasons why users persist with the programs, which may not just be the converse of the reasons for dropout.

OBJECTIVE

To answer the question of what influences persistence with online interventions.

METHODS

We interviewed participants in the Cardiovascular Risk E-couch Depression Outcome (CREDO), a trial evaluating the efficacy of an eHealth intervention (e-couch) in treating depressive symptoms in those with comorbid depression and cardiovascular risk factors. Interviews were semistructured in nature and were analyzed using a grounded theory approach. Interview numbers were curtailed (n = 12) after theoretical saturation.

RESULTS

All participants reported substantial barriers to completing the program including time constraints, competing priorities, anxiety about spending time on the computer, and perception of limited worth of the intervention. Participants who persisted with the trial reported intrinsic motivations such as personal values about task completion and sense of control, and recognized external motivators that aided the development of habits and identified personal benefits attributable to the program.

CONCLUSIONS

Online interventions may benefit from content that enhances the intrinsic motivations such as a having sense of control and being able to identify with the program, and by increasing the relative value of the program in order to enhance persistence. Persistence within a trial setting appears modifiable through explicit messages regarding supporting others. In terms of motivators, the use of a hook to engage participants who are starting the intervention due to curiosity and the use of reminder systems to prompt participants may also improve persistence. The worth of such additions should be evaluated using adherence and outcomes metrics.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12610000085077; http://www.anzctr.org.au/ACTRN12610000085077.aspx (Archived by WebCite at http://www.webcitation.org/68MtyPO3w).