Depression is an independent risk factor for cardiovascular disease (CVD), but it is unknown if successful depression treatment reduces CVD risk.

Using eIMPACT trial data, we examined the effect of modernized collaborative care for depression on indicators of CVD risk. A total of 216 primary care patients with depression and elevated CVD risk were randomized to 12 months of the eIMPACT intervention (internet cognitive-behavioral therapy [CBT], telephonic CBT, and select antidepressant medications) or usual primary care. CVD-relevant health behaviors (self-reported CVD prevention medication adherence, sedentary behavior, and sleep quality) and traditional CVD risk factors (blood pressure and lipid fractions) were assessed over 12 months. Incident CVD events were tracked over four years using a statewide health information exchange.

The intervention group exhibited greater improvement in depressive symptoms (p < 0.01) and sleep quality (p < 0.01) than the usual care group, but there was no intervention effect on systolic blood pressure (p = 0.36), low-density lipoprotein cholesterol (p = 0.38), high-density lipoprotein cholesterol (p = 0.79), triglycerides (p = 0.76), CVD prevention medication adherence (p = 0.64), or sedentary behavior (p = 0.57). There was an intervention effect on diastolic blood pressure that favored the usual care group (p = 0.02). The likelihood of an incident CVD event did not differ between the intervention (13/107, 12.1%) and usual care (9/109, 8.3%) groups (p = 0.39).

Successful depression treatment alone is not sufficient to lower the heightened CVD risk of people with depression. Alternative approaches are needed.

ClinicalTrials.gov Identifier: NCT02458690

Low self-esteem is an important factor associated with body dysmorphic concerns. In treatment, self-esteem cannot always be adequately addressed. Internet-based interventions offer a low-threshold and cost-efficient possibility for treating body dysmorphic disorder (BDD).

For this reason, we conducted two studies to explore the effectiveness of an internet-based intervention targeting improving self-esteem in adults with BDD symptoms.

The first study investigated the differential effects of a 1-week self-esteem training compared with a 1-week attention-focus training. Two hundred twenty adults with elevated body dysmorphic symptoms were randomly assigned to one of the two trainings. Our second study (n = 58 adults with body dysmorphic symptoms) evaluated an extended 2-week stand-alone self-esteem training.

In the first study, self-esteem in different domains (appearance, performance and social), self-focused attention, and BDD symptom severity improved in both groups. Other-focused attention only increased in the attention training group. Participants’ overall adherence was high. In the second study we observed significant improvements in self-esteem, BDD symptom severity, and other secondary outcomes, with additional improvements in most outcomes in the second week. Adherence was again high.

Together, these findings show that a brief internet-based intervention may be a highly accepted and effective way of improving self-esteem in people suffering from BDD symptoms.

1. (1) To gain an overview of the articles in the special issue and an understanding of the advances in digital CBT they represent.

2. (2) To understand how the advances suggested by the present studies could be taken forward and extended.

3. (3) To consider key future directions for further advances in digital CBT.

1. (1) To understand what an online peer support platform is and how this can be used to support users’ mental health.

2. (2) To learn how users described their experience of the SHaRON platform.

3. (3) To understand the benefits that online peer support may provide.

4. (4) To consider what users found helpful and unhelpful, and how this might inform the further development of these platforms.

Digital Mental Health holds strategic potential in fulfilling populations’ mental healthcare unmet needs, enabling convenient and equitable access to mental healthcare. However, despite strong evidence of efficacy, uptake by mental healthcare providers remains low and little is known about factors influencing adoption and its interrelationship throughout the Digital Mental Health adoption process.

This study aimed at gaining in-depth understanding of factors influencing adoption and mapping its interrelationship along different stages of the Digital Mental Health adoption process.

This work adopted a qualitative approach consisting of in-depth semi-structured interviews with 13 mental healthcare professionals, including both psychologists and psychiatrists. The interviews were transcribed and analysed thematically, following Braun and Clarke’s method.

In this communication, we will describe how digital technology is currently used by clinicians to deliver mental healthcare. We identify potential factors influencing Digital Mental Health adoption and characterize the different identified stages inherent to this appropriation process: i) Pondering appropriate use; ii) Contractualizing the therapeutic relationship; iii) Performing online psychological assessment; iv) Adapting and/or developing interventions; v) Delivering Digital Mental Health interventions; and vi) Identifying training unmet needs. A discussion on how different factors and its interrelationship impact the adoption process will also be performed.

By characterizing mental healthcare providers journey throughout the Digital Mental Health adoption process, we intend to inform ecosystem stakeholders, such as researchers, policy makers, societies and industry, on key factors influencing adoption, so policies, programs and interventions are developed in compliance with this knowledge and technology is more easily integrated in clinical practice.

1. (1) To understand what therapist-guided internet interventions are and their potential advantages.

2. (2) To understand the current evidence base for these interventions.

3. (3) To learn where further research is needed with regard to both the interventions themselves, and to their broader implementation in IAPT.

Some Internet interventions are regarded as effective treatments for adult depression, but less is known about who responds to this form of treatment.

An elastic net and random forest were trained to predict depression symptoms and related disability after an 8-week course of an Internet intervention, Deprexis, involving adults (N = 283) from across the USA. Candidate predictors included psychopathology, demographics, treatment expectancies, treatment usage, and environmental context obtained from population databases. Model performance was evaluated using predictive R2$\lpar R_{{\rm pred}}^2\rpar\comma $ the expected variance explained in a new sample, estimated by 10 repetitions of 10-fold cross-validation.

An ensemble model was created by averaging the predictions of the elastic net and random forest. Model performance was compared with a benchmark linear autoregressive model that predicted each outcome using only its baseline. The ensemble predicted more variance in post-treatment depression (8.0% gain, 95% CI 0.8–15; total $R_{{\rm pred}}^2 \; $= 0.25), disability (5.0% gain, 95% CI −0.3 to 10; total $R_{{\rm pred}}^2 \; $= 0.25), and well-being (11.6% gain, 95% CI 4.9–19; total $R_{{\rm pred}}^2 \; $= 0.29) than the benchmark model. Important predictors included comorbid psychopathology, particularly total psychopathology and dysthymia, low symptom-related disability, treatment credibility, lower access to therapists, and time spent using certain Deprexis modules.

A number of variables predict symptom improvement following an Internet intervention, but each of these variables makes relatively small contributions. Machine learning ensembles may be a promising statistical approach for identifying the cumulative contribution of many weak predictors to psychosocial depression treatment response.

Despite high levels of mental illness, Vietnamese youth have limited access to mental health care. Internet interventions, evidence-based psychotherapy treatments delivered through the internet, have the potential to increase access to mental health for youth in Vietnam. This study explored the perceptions of youths and parents toward internet interventions for youth mental health.

Four focus groups were conducted with youths (n = 20) and parents (n = 20) in Danang, Vietnam. The Technology Acceptance Model was used a framework for focus group questions. The data were analyzed using direct content analysis.

Most youths and parents agreed that the internet serves well as a care delivery model. Participants expressed that the web would be useful for psychoeducation and sharing and receiving information with others. Both groups reported lack of awareness of web-based interventions and logistical concerns regarding access as main barriers. In addition, many parents were concerned about internet addiction. Specific adaptations in Vietnam such as standalone internet service centers and partnering with local organizations may benefit uptake of internet interventions.

This study suggests that internet-based programs for youth mental health, particularly interventions incorporating psychoeducation and social networking components, will be well received in Vietnam. Barriers need to be addressed to successfully implement internet-based treatment. Future initiatives should incorporate acceptance models to improve development of internet interventions for youth.

Internet interventions are assumed to be cost-effective. However, it is unclear how strong this evidence is, and what the quality of this evidence is.

A comprehensive literature search (1990–2014) in Medline, EMBASE, the Cochrane Central Register of Controlled Trials, NHS Economic Evaluations Database, NHS Health Technology Assessment Database, Office of Health Economics Evaluations Database, Compendex and Inspec was conducted. We included economic evaluations alongside randomized controlled trials of Internet interventions for a range of mental health symptoms compared to a control group, consisting of a psychological or pharmaceutical intervention, treatment-as-usual (TAU), wait-list or an attention control group.

Of the 6587 abstracts identified, 16 papers met the inclusion criteria. Nine studies featured a societal perspective. Results demonstrated that guided Internet interventions for depression, anxiety, smoking cessation and alcohol consumption had favourable probabilities of being more cost-effective when compared to wait-list, TAU, group cognitive behaviour therapy (CBGT), attention control, telephone counselling or unguided Internet CBT. Unguided Internet interventions for suicide prevention, depression and smoking cessation demonstrated cost-effectiveness compared to TAU or attention control. In general, results from cost-utility analyses using more generic health outcomes (quality of life) were less favourable for unguided Internet interventions. Most studies adhered reasonably to economic guidelines.

Results of guided Internet interventions being cost-effective are promising with most studies adhering to publication standards, but more economic evaluations are needed in order to determine cost-effectiveness of Internet interventions compared to the most cost-effective treatment currently available.

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)].

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.

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.

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