It's time for disruptive innovation in psychotherapy

Acceptability and Utility of a Digital Group Intervention to Prevent Perinatal Depression in Youths via Interactive Maternal Group for Information and Emotional Support (IMAGINE): Pilot Cohort Study

BACKGROUND

Perinatal depression (depression during pregnancy or the first year postpartum) affects 10%-25% of perinatal individuals, with a higher risk among youths aged <25 years. The Mothers and Babies Course (MB) is an evidence-based intervention for the prevention of perinatal depression, grounded in cognitive behavioral therapy, attachment theory, and psychoeducation.

OBJECTIVE

We developed a digital adaptation of MB (Interactive Maternal Group for Information and Emotional Support [IMAGINE]) and evaluated it in a pre-post mixed methods pilot among young perinatal people in the United States.

METHODS

IMAGINE was a structured digital group of up to 7 participants, with scheduled MB content and open discussion for 12 weeks, facilitated by a social worker. Scheduled content included asynchronous SMS text messages, graphics, prerecorded videos, mood polls, and optional weekly synchronous video calls. Eligible participants were pregnant or ≤80 days postpartum, aged 16 to 24 years, had access to a smartphone, spoke English, and had a Patient Health Questionnaire score <10. Participants were recruited throughout the United States from August 2020 to January 2021 through paid social media ads, in-person outreach at clinics, and respondent-driven sampling. Participants completed quantitative questionnaires at enrollment and 3 months, and qualitative interviews at 3 months. We determined uptake, acceptability (by Acceptability of Intervention Measure score), and utility (by use of cognitive behavioral therapy skills). We compared depression symptoms (by Patient Health Questionnaire score), social support (by abbreviated Social Support Behavior score), and perceived stress (by Perceived Stress Score) between enrollment and follow-up by paired 2-tailed t test.

RESULTS

Among 68 individuals who contacted this study, 22 were screened, 13 were eligible, and 10 enrolled, for an uptake of 76.9%. Furthermore, 4 (40%) participants were pregnant at enrollment. Participants had a median age of 17.9 (IQR 17.4-21.7) years, 6 (67%) identified as Black, 5 (56%) Latinx, and 6 (67%) using Medicaid health insurance. Further, 9 (90%) participants completed follow-up. Among these, the mean acceptability score was 4.3 out of 5 (SD 0.6) and all participants said they would recommend IMAGINE to a friend. Participants reported using a median of 7 of 11 skills (IQR 5-7 skills) at least half the days. We found no significant changes in depression symptoms, perceived stress, or social support. Qualitatively, participants reported one-to-one support from the facilitator, connection with other parents, and regular mood reflection were especially helpful aspects of the intervention. Additionally, participants reported that the intervention normalized their mental health challenges, improved their ability to manage their mood, and increased their openness to mental health care.

CONCLUSIONS

This pilot study provides promising evidence of the acceptability and utility of IMAGINE among perinatal youths. Our study's small sample size did not detect changes in clinical outcomes; our findings suggest IMAGINE warrants larger-scale evaluation.

Cognitive bias modification for adult's depression: A systematic review and meta-analysis

Objects

This study aimed to elucidate the effect of cognitive bias modification on depression.

Methods

This research included 10 randomized studies searching four major databases: PubMed, Embase, PsycINFO, and Cochrane Library, with a total sample size of 467. Moreover, they were examined for quality and possible publication bias.

Results

Cognitive bias modification (CBM) had statistically significant results, g = -0.64, 95% CI = [-0.97-0.32]. The interpretation of cognitive bias modification shows the highest effect size, g = -1.45, 95% CI = [-2.05-0.88]. When the training place is located in the laboratory, the training effect is significant, g = -1.11, 95% CI = [-1.62-0.61]. The difference is statistically significant when the training environment was changed to home, g = -0.28, 95% CI = [-0.51-0.05]. CBM has a statistical effect on moderate-to-severe depression, g = -0.70, 95% CI = [-1.04-0.36].

Conclusion

We found that CBM had a moderate therapeutic effect on depression, whether the setting was at home or in the lab. Especially when the interpretation of cognitive bias modification (CBM-I) was used, we got the highest effect value. Furthermore, CBM has a statistical effect on moderate-to-severe depression.

Mental Health Mobile Apps in the French App Store: Assessment of Functionality and Quality (Preprint)

Background

Approximately 800 million people, representing 11% of the world’s population, are affected by mental health problems. The COVID-19 pandemic exacerbated problems and triggered a decline in well-being, with drastic increase in the incidence of conditions such as anxiety, depression, and stress. Approximately 20,000 mental health apps are listed in mobile app stores. However, no significant evaluation of mental health apps in French, spoken by approximately 300 million people, has been identified in the literature yet.

Objective

This study aims to review the mental health mobile apps currently available on the French Apple App Store and Google Play Store and to evaluate their quality using Mobile App Rating Scale–French (MARS-F).

Methods

Screening of mental health apps was conducted from June 10, 2022, to June 17, 2022, on the French Apple App Store and Google Play Store. A shortlist of 12 apps was identified using the criteria of selection and assessed using MARS-F by 9 mental health professionals. Intraclass correlation was used to evaluate interrater agreement. Mean (SD) scores and their distributions for each section and item were calculated.

Results

The highest scores for MARS-F quality were obtained by Soutien psy avec Mon Sherpa (mean 3.85, SD 0.48), Evoluno (mean 3.54, SD 0.72), and Teale (mean 3.53, SD 0.87). Mean engagement scores (section A) ranged from 2.33 (SD 0.69) for Reflexe reussite to 3.80 (SD 0.61) for Soutien psy avec Mon Sherpa. Mean aesthetics scores (section C) ranged from 2.52 (SD 0.62) for Mental Booster to 3.89 (SD 0.69) for Soutien psy avec Mon Sherpa. Mean information scores (section D) ranged from 2.00 (SD 0.75) for Mental Booster to 3.46 (SD 0.77) for Soutien psy avec Mon Sherpa. Mean Mobile App Rating Scale subjective quality (section E) score varied from 1.22 (SD 0.26) for VOS – journal de l’humeur to 2.69 (SD 0.84) for Soutien psy avec Mon Sherpa. Mean app specificity (section F) score varied from 1.56 (SD 0.97) for Mental Booster to 3.31 (SD 1.22) for Evoluno. For all the mental health apps studied, except Soutien psy avec Mon Sherpa (11/12, 92%), the subjective quality score was always lower than the app specificity score, which was always lower than the MARS-F quality score, and that was lower than the rating score from the iPhone Operating System or Android app stores.

Conclusions

Mental health professionals assessed that, despite the lack of scientific evidence, the mental health mobile apps available on the French Apple App Store and Google Play Store were of good quality. However, they are reluctant to use them in their professional practice. Additional investigations are needed to assess their compliance with recommendations and their long-term impact on users.

Evaluation of Repeated Web-Based Screening for Predicting Postpartum Depression: Prospective Cohort Study

BACKGROUND

Postpartum depression (PPD) is a severe mental disorder that often results in poor maternal-infant attachment and negatively impacts infant development. Universal screening has recently been recommended to identify women at risk, but the optimal screening time during pregnancy has not been defined so far. Thus, web-based technologies with widespread use among women of childbearing age create new opportunities to detect pregnancies with a high risk for adverse mental health outcomes at an early stage.

OBJECTIVE

The aim of this study was to stratify the risk for PPD and to determine the optimal screening time during pregnancy by using a web-based screening tool collecting electronic patient-reported outcomes (ePROs) as the basis for a screening algorithm.

METHODS

In total, 214 women were repeatedly tested for depressive symptoms 5 times during and 3 times after pregnancy by using the Edinburgh Postnatal Depression Scale (EPDS), accessible on a web-based pregnancy platform, developed by the authors of this study. For each prenatal assessment, the area under the curve (AUC), sensitivity, specificity, and predictive values for PPD were calculated. Multivariate logistic regression analyses were applied to identify further potential predictors, such as age, education, parity, relationship quality, and anxiety, to increase predictive accuracy.

RESULTS

Digitally collected data from 214 pregnant women were analyzed. The predictive accuracy of depressive symptoms 3 and 6 months postpartum was reasonable to good regarding the screening in the second (AUC=0.85) and third (AUC=0.75) trimester. The multivariate logistic regression analyses resulted in an excellent AUC of 0.93 at 3 months and a good AUC of 0.87 at 6 months postpartum.

CONCLUSIONS

The best predictive accuracy for PPD has been shown for screening between the 24th and the 28th gestational week (GW) and seems to be beneficial for identifying women at risk. In combination with the aforementioned predictive factors, the discriminatory power improved, particularly at 3 months postpartum. Screening for depression during pregnancy, combined with the women's personal risk profile, can be used as a starting point for developing a digital screening algorithm. Thereby, web-based assessment tools constitute feasible, efficient, and cost-effective approaches. Thus, they seem to be beneficial in detecting high-risk pregnancies in order to improve maternal and infant birth outcomes in the long term.

Acceptability and Feasibility of the Transfer of Face-to-Face Group Therapy to Online Group Chats in a Psychiatric Outpatient Setting During the COVID-19 Pandemic: Longitudinal Observational Study

BACKGROUND

At the height of the COVID-19 pandemic, several mental health care providers were obliged to shut down outpatient services, including group therapy and psychoeducational sessions. The lockdown in many countries is a serious threat to people's mental well-being, especially for individuals with severe mental illnesses. Discontinued outpatient treatments and disruption of daily routines are considered to be risk factors for destabilization of patients with mental illness.

OBJECTIVE

The aim of this study was to evaluate the acceptability, usability, and feasibility of a group chat program to replace cancelled face-to-face group sessions in an outpatient psychiatric department.

METHODS

Participants (N=33) were recruited in the outpatient department of a large university medical center in Leipzig, Germany. Former face-to-face group participants were invited to take part in a therapist-guided group-chat for 4 weeks (8 sessions) and were asked to evaluate the program via self-administered standardized questionnaires at baseline (T0, preintervention), after every chat session (T1), and posttreatment (T2, after 4-6 weeks). The chat groups were specific to the following mental disorder diagnoses and based on the same therapeutic principles and techniques as the former face-to-face groups: anxiety, depression, obsessive-compulsive disorder, and adult attention-deficit/hyperactivity disorder (ADHD). Sociodemographic measures, attitudes toward the COVID-19 pandemic, depressive symptoms (Patient Health Questionnaire-9), quality of life (abbreviated World Health Organization Quality of Life assessment), treatment credibility/expectancy (Credibility Expectancy Questionnaire), and participants' satisfaction (Client Satisfaction Questionnaire-8 [ZUF-8]) were measured.

RESULTS

Participants joined an average of 5 out of 8 offered chat sessions. Participation rates in the respective groups were highest in the ADHD group (8.6/11, 78%) and lowest in the anxiety group (3.7/9, 41%). The overall preintervention level of depressive symptoms was moderate and showed a slight, nonsignificant improvement at posttreatment (T0: mean 10.7, SD 5.5; T2: mean 10.2, SD 5.5). A similar result was observed regarding quality of life (T0: median 41.7-68.8; T2: median 50-70.3). Treatment credibility and expectancy scores were medium-high (T0: meancredibility 18.1, SD 3.8; meanexpectancy 11.2, SD 5.1; T2: meancredibility 17.1, SD 4.8; meanexpectancy 10.3, SD 5.8). Further, significant correlations were detected between posttreatment expectancy score and posttreatment PHQ-9 score (r=-0.41, P=.02), posttreatment physical quality of life (r=0.54, P=.001), and posttreatment psychological quality of life (r=0.53, P=.002). Overall, participants' satisfaction with the program was very high, both after chat sessions and at posttreatment (ZUF-8: mean score 20.6, SD 1.0). Of all participants, a majority (27/31, 87%) rated the program as excellent/good and indicated they would recommend the group chat program to a friend in need of similar help (23/31, 74%).

CONCLUSIONS

A therapist-guided group chat program to substitute outpatient group setting treatment during the COVID-19 lockdown was shown to be feasible, usable, and highly acceptable for participants. Web-based programs such as this one provide an easy-to-implement tool to successfully stabilize participants during a difficult time, such as the COVID-19 pandemic.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00021527; https://tinyurl.com/3btyxc2r.

Co-developing a Mental Health and Wellbeing Chatbot With and for Young People

There are many young people who experience mental health and wellbeing challenges. A potential negative mental health trigger for some youth is a struggle to cope with stress at school, feelings of depression and anxiety and availability of adequate help for these stressors. In response to youth needs a mental health and wellbeing Chatbot has been co-developed with youth, technology partners and expert stakeholders. An element of the Chatbot is powered by artificial intelligence and rules based AI using natural language processing. It is created to communicate evidence based resources, wellbeing support, educational mental health information and adaptive coping strategies. This paper will discuss how the Chatbot has been developed, highlighting its participatory, co-design process with youth who are the key stakeholders to benefit from this digital tool. Research from interviews and surveys informed the creation of the Chabots personality and its character design. Examples of the conversation design and content development are provided. The paper finishes with how, if at all, digital tools such as Chatbot applications could support the mental health of young people in secondary schools or health care settings in conjunction with the wellbeing or health care team, concluding with lessons learned and cautions.

An mHealth intervention for the treatment of patients with an eating disorder: A multicenter randomized controlled trial

OBJECTIVE

The current multicentre randomized controlled trial assessed the clinical efficacy of a combined mHealth intervention for eating disorders (EDs) based on cognitive behavioral therapy (CBT).

METHOD

A total of 106 ED patients from eight different public and private mental health services in Spain were randomly assigned to two parallel groups. Patients of the experimental group (N = 53) received standard face-to-face CBT plus a mobile intervention through an application called "TCApp," which provides self-monitoring and an online chat with the therapist. The control group (N = 53) received standard face-to-face CBT only. Patients completed self-report questionnaires on ED symptomatology, anxiety, depression, and quality of life, before and after treatment.

RESULTS

Significant reductions in primary and secondary outcomes were observed for participants of both groups, with no differences between groups. Results also suggested that the frequency with which patients attended their referral mental health institution after the intervention was lower for patients in the experimental group than for those in the control group.

DISCUSSION

The current study showed that CBT can help to reduce symptoms relating to ED, regardless of whether its delivery includes online components in addition to traditional face-to-face treatment. Besides, the additional component offered by the TCApp does not appear to be promising from a purely therapeutic perspective but perhaps as a cost-effective tool, reducing thus the costs and time burden associated with weekly visits to health professionals.

Mobile Health for Perinatal Depression and Anxiety: Scoping Review

Background

The perinatal period is a vulnerable time during which depression and anxiety commonly occur. If left untreated or undertreated, there may be significant adverse effects; therefore, access to rapid, effective treatment is essential. Treatments for mild-to-moderate symptoms according to a stepped-care approach involve psychoeducation, peer support, and psychological therapy, all of which have been shown to be efficaciously delivered through digital means. Women experience significant barriers to care because of system- and individual-level factors, such as cost, accessibility, and availability of childcare. The use of mobile phones is widespread in this population, and the delivery of mental health services via mobile phones has been suggested as a means of reducing barriers.

Objective

This study aimed to understand the extent, range, and nature of mobile health (mHealth) tools for prevention, screening, and treatment of perinatal depression and anxiety in order to identify gaps and inform opportunities for future work.

Methods

Using a scoping review framework, 4 databases were searched for terms related to mobile phones, perinatal period, and either depression or anxiety. A total of 477 unique records were retrieved, 81 of which were reviewed by full text. Peer-reviewed publications were included if they described the population as women pregnant or up to 1 year postpartum and a tool explicitly delivered via a mobile phone for preventing, screening, or treating depression or anxiety. Studies published in 2007 or earlier, not in English, or as case reports were excluded.

Results

A total of 26 publications describing 22 unique studies were included (77% published after 2017). mHealth apps were slightly more common than texting-based interventions (12/22, 54% vs 10/22, 45%). Most tools were for either depression (12/22, 54%) or anxiety and depression (9/22, 41%); 1 tool was for anxiety only (1/22, 4%). Interventions starting in pregnancy and continuing into the postpartum period were rare (2/22, 9%). Tools were for prevention (10/22, 45%), screening (6/22, 27%), and treatment (6/22, 27%). Interventions delivered included psychoeducation (16/22, 73%), peer support (4/22, 18%), and psychological therapy (4/22, 18%). Cost was measured in 14% (3/22) studies.

Conclusions

Future work in this growing area should incorporate active psychological treatment, address continuity of care across the perinatal period, and consider clinical sustainability to realize the potential of mHealth.

Edge Computing Robot Interface for Automatic Elderly Mental Health Care Based on Voice

We need open platforms driven by specialists, in which queries can be created and collected for long periods and the diagnosis made based on a rigorous clinical follow-up. In this work, we developed a multi-language robot interface helping to evaluate the mental health of seniors by interacting through questions. Through the voice interface, the specialist can propose questions, as well as receive users’ answers, in text form. The robot can automatically interact with the user using the appropriate language. It can process the answers and under the guidance of a specialist, questions and answers can be oriented towards the desired therapy direction. The prototype was implemented on an embedded device meant for edge computing, thus it was able to filter environmental noise and can be placed anywhere at home. The proposed platform allows the integration of well-known open source and commercial data flow processing frameworks. The experience is now available for specialists to create queries and answers through a Web-based interface.

Patient experience of supported computerized CBT in an inner-city IAPT service: a qualitative study

Computerized cognitive behavioural therapy (cCBT) has been developed to address economic and clinical issues around limited access to evidence-based therapy. Supported cCBT (variously termed iCBT or eCBT) has been developed to address issues with the effectiveness of, and engagement with, cCBT. There has been no in-depth qualitative exploration of the patient experience of eCBT within the UK, which might aid improving its effectiveness. The aim of this study was to explore patient experience of eCBT in one inner-city National Health Service (NHS) Improving Access to Psychological Therapies (IAPT) service using a semi-structured interview and Thematic Analysis methodology. Ten patients took part. Six main themes were identified: (1) Being Offered eCBT; (2) How eCBT Compares with Self-help; (3) The Patient's State of Mind; (4) The Relationship with the Supporter; (5) Preferring to Talk; (6) eCBT's Value as a Treatment. Participants in this study indicated a preference for face-to-face talking therapy, but were clear that they could form a therapeutic relationship via asynchronous messaging. They reported clinical benefit from the eCBT programme and online relationship, and acknowledged that accessing this immediately was valuable. Issues around the process of selecting patients for eCBT, including with regard to acknowledging or mitigating any negative emotional effects of eCBT, and how to offer and support users with it, are discussed.

Randomized controlled trial comparing smartphone assisted versus traditional guided self-help for adults with binge eating

OBJECTIVE

Guided self-help treatments based on cognitive-behavior therapy (CBT-GSH) are efficacious for binge eating. With limited availability of CBT-GSH in the community, mobile technology offers a means to increase use of these interventions. The purpose of this study was to test the initial efficacy of Noom Monitor, a smartphone application designed to facilitate CBT-GSH (CBT-GSH + Noom), on study retention, adherence, and eating disorder symptoms compared to traditional CBT-GSH.

METHOD

Sixty-six men and women with DSM-5 binge-eating disorder (BED) or bulimia nervosa (BN) were randomized to receive eight sessions of CBT-GSH + Noom (n = 33) or CBT-GSH (n = 33) over 12 weeks. Primary symptom outcomes were eating disorder examination objective bulimic episodes (OBEs), subjective bulimic episodes (SBEs), and compensatory behaviors. Assessments were collected at 0, 4, 8, 12, 24, and 36 weeks. Behavioral outcomes were modeled using zero-inflated negative-binomial latent growth curve models with intent-to-treat.

RESULTS

There was a significant effect of treatment on change in OBEs (β = -0.84, 95% CI = -1.49, -0.19) favoring CBT-GSH + Noom. Remission rates were not statistically different between treatments for OBEs (βlogit  = -0.73, 95% CI = -1.86, 3.27; CBT-GSH-Noom = 17/27, 63.0% vs. CBT-GSH 11/27, 40.7%, NNT = 4.5), but CBT-GSH-Noom participants reported greater meal and snack adherence and regular meal adherence mediated treatment effects on OBEs. The treatments did not differ at the 6-month follow-up.

DISCUSSION

Smartphone applications for the treatment binge eating appear to have advantages for adherence, a critical component of treatment dissemination.

Mental and Emotional Self-Help Technology Apps: Cross-Sectional Study of Theory, Technology, and Mental Health Behaviors

BACKGROUND

Mental and emotional self-help apps have emerged as potential mental illness prevention and treatment tools. The health behavior theory mechanisms by which these apps influence mental health-related behavior change have not been thoroughly examined.

OBJECTIVE

The objective of this study was to examine the association between theoretical behavior change mechanisms and use of mental and emotional self-help apps and whether the use of such apps is associated with mental health behaviors.

METHODS

This study utilized a cross-sectional survey of 150 users of mental or emotional health apps in the past 6 months. Survey questions included theory-based items, app engagement and likeability items, and behavior change items. Stata version 14 was used to calculate all statistics. Descriptive statistics were calculated for each of the demographic, theory, engagement, and behavior variables. Multiple regression analysis was used to identify factors associated with reported changes in theory and separately for reported changes in actual behavior after controlling for potentially confounding variables.

RESULTS

Participants reported that app use increased their motivation, desire to set goals, confidence, control, and intentions to be mentally and emotionally healthy. Engagement (P<.001) was positively associated with the reported changes in theory items, whereas perceived behavior change was positively associated with theory (P<.001), engagement (P=.004), frequency of use of apps (P=.01), and income (P=.049).

CONCLUSIONS

Participants reported that app use increased their motivation, desire to set goals, confidence, control, and intentions to be mentally and emotionally healthy. This increase in perceptions, beliefs, and attitudes surrounding their mental and emotional health was considerably associated with perceived change in behavior. There was a positive association between the level of engagement with the app and the impact on theory items. Future efforts should consider the value of impacting key theoretical constructs when designing mental and emotional health apps. As apps are evaluated and additional theory-based apps are created, cost-effective self-help apps may become common preventative and treatment tools in the mental health field.

Users' Adoption of Mental Health Apps: Examining the Impact of Information Cues

BACKGROUND

Numerous mental health apps have been developed and made available to users on the current app market. Users may find it difficult and overwhelming to select apps from the hundreds of choices that are available in the app marketplace. Clarifying what information cues may impact a user's selection and adoption of mental health apps is now a critical and pressing issue.

OBJECTIVE

The aim of this study was to investigate the impact of information cues on users' adoption of anxiety apps using observational data from the Android app market.

METHODS

A systematic search of anxiety apps was conducted on the Android app store by using keywords search. The title and metadata information of a total of 274 apps that met our criteria were collected and analyzed. Three trained researchers recorded the app rankings from the search results page on different dates and Web browsers.

RESULTS

Our results show that ratings (r=.56, P<.001) and reviews (r=.39, P<.001) have significant positive correlations with the number of installs, and app prices have significant negative correlations with installs (r=-.36). The results also reveal that lower-priced apps have higher ratings (r=-.23, P<.001) and a greater number of app permission requests (r=.18, P=.002) from the device. For app titles, we found that apps with titles related to symptoms have significantly lower installs than apps with titles that are not related to symptoms (P<.001).

CONCLUSIONS

This study revealed a relationship between information cues and users' adoption of mental health apps by analyzing observational data. As the first of its kind, we found impactful indicators for mental health app adoptions. We also discovered a labeling effect of app titles that could hinder mental health app adoptions and which may provide insight for future designs of mental health apps and their search mechanisms.

Lost in distractors: Reduced Autobiographical Memory Specificity and dispersed activation spreading over distractors in working memory

Studies on autobiographical memory retrieval highlight the prominence of rapid and direct access to a specific event memory. Because it has been believed that autobiographical memory retrieval mostly relies on an effortful generative process, there is little empirical evidence on the early stage of information processing that contributes to autobiographical memory specificity (AMS). Therefore, we investigated the associations between AMS and automatic activation of information stimulated by rapid presentation of emotional words. Study 1 involved a visual search task to assess activation of various distractors in working memory. Participants with reduced AMS showed a tendency to activate distractors that were not semantically associated with preceding cues. In Study 2, we manipulated the levels of AMS by using a computerized version of Memory Specificity Training (c-MeST) to observe the changes in the activation of distractors. Results showed that increases in AMS were associated with decreases in activation of cue-unassociated distractors. These findings suggest that reduced AMS can be characterized by dispersed activation spreading over semantically unassociated distractors in automatic information selection of working memory. Because we also found an association between depressive symptoms and AMS, the role of automatic information processing in the relation between reduced AMS and depression is discussed.

Tips and Traps: Lessons From Codesigning a Clinician E-Monitoring Tool for Computerized Cognitive Behavioral Therapy

BACKGROUND

Computerized cognitive behavioral therapy (cCBT) is an acceptable and promising treatment modality for adolescents with mild-to-moderate depression. Many cCBT programs are standalone packages with no way for clinicians to monitor progress or outcomes. We sought to develop an electronic monitoring (e-monitoring) tool in consultation with clinicians and adolescents to allow clinicians to monitor mood, risk, and treatment adherence of adolescents completing a cCBT program called SPARX (Smart, Positive, Active, Realistic, X-factor thoughts).

OBJECTIVE

The objectives of our study were as follows: (1) assess clinicians' and adolescents' views on using an e-monitoring tool and to use this information to help shape the development of the tool and (2) assess clinician experiences with a fully developed version of the tool that was implemented in their clinical service.

METHODS

A descriptive qualitative study using semistructured focus groups was conducted in New Zealand. In total, 7 focus groups included clinicians (n=50) who worked in primary care, and 3 separate groups included adolescents (n=29). Clinicians were general practitioners (GPs), school guidance counselors, clinical psychologists, youth workers, and nurses. Adolescents were recruited from health services and a high school. Focus groups were run to enable feedback at 3 phases that corresponded to the consultation, development, and postimplementation stages. Thematic analysis was applied to transcribed responses.

RESULTS

Focus groups during the consultation and development phases revealed the need for a simple e-monitoring registration process with guides for end users. Common concerns were raised in relation to clinical burden, monitoring risk (and effects on the therapeutic relationship), alongside confidentiality or privacy and technical considerations. Adolescents did not want to use their social media login credentials for e-monitoring, as they valued their privacy. However, adolescents did want information on seeking help and personalized monitoring and communication arrangements. Postimplementation, clinicians who had used the tool in practice revealed no adverse impact on the therapeutic relationship, and adolescents were not concerned about being e-monitored. Clinicians did need additional time to monitor adolescents, and the e-monitoring tool was used in a different way than was originally anticipated. Also, it was suggested that the registration process could be further streamlined and integrated with existing clinical data management systems, and the use of clinician alerts could be expanded beyond the scope of simply flagging adolescents of concern.

CONCLUSIONS

An e-monitoring tool was developed in consultation with clinicians and adolescents. However, the study revealed the complexity of implementing the tool in clinical practice. Of salience were privacy, parallel monitoring systems, integration with existing electronic medical record systems, customization of the e-monitor, and preagreed monitoring arrangements between clinicians and adolescents.

Effects of Engaging in Repeated Mental Imagery of Future Positive Events on Behavioural Activation in Individuals with Major Depressive Disorder

Depression is associated with decreased engagement in behavioural activities. A wide range of activities can be promoted by simulating them via mental imagery. Mental imagery of positive events could thus provide a route to increasing adaptive behaviour in depression. The current study tested whether repeated engagement in positive mental imagery led to increases in behavioural activation in participants with depression, using data from a randomized controlled trial (Blackwell et al. in Clin Psychol Sci 3(1):91–111, 2015. doi:10.1177/2167702614560746). Participants (N = 150) were randomized to a 4-week positive imagery intervention or an active non-imagery control condition, completed via the internet. Behavioural activation was assessed five times up to 6 months follow-up using the Behavioural Activation for Depression Scale (BADS). While BADS scores increased over time in both groups, there was an initial greater increase in the imagery condition. Investigating mental imagery simulation of positive activities as a means to promote behavioural activation in depression could provide a fruitful line of enquiry for future research.

Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments

BACKGROUND

The number of mental health apps (MHapps) developed and now available to smartphone users has increased in recent years. MHapps and other technology-based solutions have the potential to play an important part in the future of mental health care; however, there is no single guide for the development of evidence-based MHapps. Many currently available MHapps lack features that would greatly improve their functionality, or include features that are not optimized. Furthermore, MHapp developers rarely conduct or publish trial-based experimental validation of their apps. Indeed, a previous systematic review revealed a complete lack of trial-based evidence for many of the hundreds of MHapps available.

OBJECTIVE

To guide future MHapp development, a set of clear, practical, evidence-based recommendations is presented for MHapp developers to create better, more rigorous apps.

METHODS

A literature review was conducted, scrutinizing research across diverse fields, including mental health interventions, preventative health, mobile health, and mobile app design.

RESULTS

Sixteen recommendations were formulated. Evidence for each recommendation is discussed, and guidance on how these recommendations might be integrated into the overall design of an MHapp is offered. Each recommendation is rated on the basis of the strength of associated evidence. It is important to design an MHapp using a behavioral plan and interactive framework that encourages the user to engage with the app; thus, it may not be possible to incorporate all 16 recommendations into a single MHapp.

CONCLUSIONS

Randomized controlled trials are required to validate future MHapps and the principles upon which they are designed, and to further investigate the recommendations presented in this review. Effective MHapps are required to help prevent mental health problems and to ease the burden on health systems.

Patient experience of computerised therapy for depression in primary care

OBJECTIVE

To explore patient experience of computerised cognitive behaviour therapy (cCBT) for depression in a pragmatic randomised controlled trial (Randomised Evaluation of the Effectiveness and Acceptability of Computerised Therapy, REEACT).

DESIGN

Qualitative semistructured interviews with 36 participants.

PARTICIPANTS

Depressed patients with a Patient Health Questionnaire 9 of 10 or above recruited into the REEACT randomised controlled trial.

SETTING

Primary care settings in England.

RESULTS

Participant experience was on a continuum, with some patients unable or unwilling to accept psychological therapy without interpersonal contact while others appreciated the enhanced anonymity and flexibility of cCBT. The majority of patients were ambivalent, recognising the potential benefits offered by cCBT but struggling with challenges posed by the severity of their illness, lack of support and limited personalisation of programme content. Low completion rates were commonly reported, although more positive patients reported greater engagement. Both positive and ambivalent patients perceived a need for monitoring or follow-up to support completion, while negative patients reported deliberate non-adherence due to dissatisfaction with the programme. Patients also reported that severity of depression impacted on engagement, and viewed cCBT as unsuitable for patients undergoing more severe depressive episodes.

CONCLUSIONS

The study demonstrates both the unique demands and benefits of computerised therapy. cCBT was preferred by some patients and rejected by others, but the majority of patients were ambivalent about the therapy. cCBT could be offered within a menu of options in stepped care if matched appropriately to individual patients or could be offered with enhanced support to appeal to a greater number of patients.

TRIAL REGISTRATION NUMBER

ISRCTN91947481.

Prospects for a clinical science of mindfulness-based intervention

Mindfulness-based interventions (MBIs) are at a pivotal point in their future development. Spurred on by an ever-increasing number of studies and breadth of clinical application, the value of such approaches may appear self-evident. We contend, however, that the public health impact of MBIs can be enhanced significantly by situating this work in a broader framework of clinical psychological science. Utilizing the National Institutes of Health stage model (Onken, Carroll, Shoham, Cuthbert, & Riddle, 2014), we map the evidence base for mindfulness-based cognitive therapy and mindfulness-based stress reduction as exemplars of MBIs. From this perspective, we suggest that important gaps in the current evidence base become apparent and, furthermore, that generating more of the same types of studies without addressing such gaps will limit the relevance and reach of these interventions. We offer a set of 7 recommendations that promote an integrated approach to core research questions, enhanced methodological quality of individual studies, and increased logical links among stages of clinical translation in order to increase the potential of MBIs to impact positively the mental health needs of individuals and communities.

Positive imagery cognitive bias modification (CBM) and internet-based cognitive behavioral therapy (iCBT): a randomized controlled trial

BACKGROUND

Accruing evidence suggests that positive imagery-based cognitive bias modification (CBM) could have potential as a standalone targeted intervention for depressive symptoms or as an adjunct to existing treatments. We sought to establish the benefit of this form of CBM when delivered prior to Internet cognitive behavioral therapy (iCBT) for depression

METHODS

A randomized controlled trial (RCT) of a 1-week Internet-delivered positive CBM vs. an active control condition for participants (N=75, 69% female, mean age=42) meeting diagnostic criteria for major depression; followed by a 10-week iCBT program for both groups.

RESULTS

Modified intent-to-treat marginal and mixed effect models demonstrated no significant difference between conditions following the CBM intervention or the iCBT program. In both conditions there were significant reductions (Cohen׳s d .57-1.58, 95% CI=.12-2.07) in primary measures of depression and interpretation bias (PHQ9, BDI-II, AST-D). Large effect size reductions (Cohen׳s d .81-1.32, 95% CI=.31-1.79) were observed for secondary measures of distress, disability, anxiety and repetitive negative thinking (K10, WHODAS, STAI, RTQ). Per protocol analyses conducted in the sample of participants who completed all seven sessions of CBM indicated between-group superiority of the positive over control group on depression symptoms (PHQ9, BDI-II) and psychological distress (K10) following CBM (Hedges g .55-.88, 95% CI=-.03-1.46) and following iCBT (PHQ9, K10). The majority (>70%) no longer met diagnostic criteria for depression at 3-month follow-up.

LIMITATIONS

The control condition contained many active components and therefore may have represented a smaller 'dose' of the positive condition.

CONCLUSIONS

Results provide preliminary support for the successful integration of imagery-based CBM into an existing Internet-based treatment for depression.

Lay providers can deliver effective cognitive behavior therapy for older adults with generalized anxiety disorder: a randomized trial

BACKGROUND

The Institute of Medicine recommends developing a broader workforce of mental health providers, including nontraditional providers, to expand services for older adults. Cognitive behavior therapy (CBT) is effective for late-life generalized anxiety disorder (GAD), but no study has examined outcomes with delivery by lay providers working under the supervision of licensed providers. The current study examined the effects of CBT delivered by lay, bachelor-level providers (BLP) relative to Ph.D.-level expert providers (PLP), and usual care (UC) in older adults with GAD.

METHODS

Participants were 223 older adults (mean age, 66.9 years) with GAD recruited from primary care clinics at two sites and assigned randomly to BLP (n = 76), PLP (n = 74), or UC (n = 73). Assessments occurred at baseline and 6 months. CBT in BLP and PLP included core and elective modules (3 months: skills training; 3 months: skills review) delivered in person and by telephone, according to patient choice.

RESULTS

CBT in both BLP and PLP groups significantly improved GAD severity (GAD Severity Scale), anxiety (Spielberger State-Trait Anxiety Inventory; Structured Interview Guide for the Hamilton Anxiety Scale), depression (Patient Health Questionnaire), insomnia (Insomnia Severity Index), and mental health quality of life (Short-Form-12), relative to UC. Response rates defined by 20% reduction from pre- to posttreatment in at least three of four primary outcomes were higher for study completers in BLP and PLP relative to UC (BLP: 38.5%; PLP: 40.0%; UC: 19.1%).

CONCLUSION

Lay providers, working under the supervision of licensed providers, can deliver effective CBT.

Qualitative meta-synthesis of user experience of computerised therapy for depression and anxiety

Objective

Computerised therapies play an integral role in efforts to improve access to psychological treatment for patients with depression and anxiety. However, despite recognised problems with uptake, there has been a lack of investigation into the barriers and facilitators of engagement. We aimed to systematically review and synthesise findings from qualitative studies of computerised therapies, in order to identify factors impacting on engagement.

Method

Systematic review and meta-synthesis of qualitative studies of user experiences of computer delivered therapy for depression and/or anxiety.

Results

8 studies were included in the review. All except one were of desktop based cognitive behavioural treatments. Black and minority ethnic and older participants were underrepresented, and only one study addressed users with a co-morbid physical health problem. Through synthesis, we identified two key overarching concepts, regarding the need for treatments to be sensitive to the individual, and the dialectal nature of user experience, with different degrees of support and anonymity experienced as both positive and negative. We propose that these factors can be conceptually understood as the ‘non-specific’ or ‘common’ factors of computerised therapy, analogous to but distinct from the common factors of traditional face-to-face therapies.

Conclusion

Experience of computerised therapy could be improved through personalisation and sensitisation of content to individual users, recognising the need for users to experience a sense of ‘self’ in the treatment which is currently absent. Exploiting the common factors of computerised therapy, through enhancing perceived connection and collaboration, could offer a way of reconciling tensions due to the dialectal nature of user experience. Future research should explore whether the findings are generalisable to other patient groups, to other delivery formats (such as mobile technology) and other treatment modalities beyond cognitive behaviour therapy. The proposed model could aid the development of enhancements to current packages to improve uptake and support engagement.

Cost-effectiveness of an internet-based aftercare intervention after inpatient treatment in a psychosomatic hospital

OBJECTIVE

The implementation of new interventions into routine care requires the demonstration of both their effectiveness and cost-effectiveness.

METHOD

We explored the cost-effectiveness of an Internet-based aftercare program in addition to treatment as usual (CHAT) which was compared to treatment as usual (TAU) following inpatient treatment. Incremental cost-effectiveness ratios were calculated based on cost of the intervention, cost of outpatient treatment, and remission rates within 1 year after discharge from hospital.

RESULTS

Assuming a willingness-to-pay of an additional 14.87 € per treatment for every additional percent of remission, CHAT was cost-effective against TAU at a 95% level of certainty. Cost per remission equaled 2664.84 € in TAU and 1752.75 € in CHAT (34.2% savings).

CONCLUSIONS

This is the first evidence that Internet-based aftercare may enhance long-term treatment outcome in a cost-effective way.

Positive imagery cognitive bias modification (CBM) and internet-based cognitive behavioural therapy (iCBT) versus control CBM and iCBT for depression: study protocol for a parallel-group randomised controlled trial

INTRODUCTION

The current randomised controlled trial will evaluate the efficacy of an internet-delivered positive imagery cognitive bias modification (CBM) intervention for depression when compared with an active control condition and help establish the additive benefit of positive imagery CBM when delivered in combination with internet cognitive behavioural therapy for depression.

METHODS AND ANALYSIS

Patients meeting diagnostic criteria for a current major depressive episode will be recruited through the research arm of a not-for-profit clinical and research unit in Australia. The minimum sample size for each group (α set at 0.05, power at 0.80) was identified as 29, but at least 10% more will be recruited to hedge against expected attrition. We will measure the impact of CBM on primary measures of depressive symptoms (Beck Depression Inventory-second edition (BDI-II), Patient Health Questionnaire (PHQ9)) and interpretive bias (ambiguous scenarios test-depression), and on a secondary measure of psychological distress (Kessler-10 (K10)) following the 1-week CBM intervention. Secondary outcome measures of psychological distress (K10), as well as disability (WHO disability assessment schedule-II), repetitive negative thinking (repetitive thinking questionnaire), and anxiety (state trait anxiety inventory-trait version) will be evaluated following completion of the 11-week combined intervention, in addition to the BDI-II and PHQ9. Intent-to-treat marginal and mixed effect models using restricted maximum likelihood estimation will be used to evaluate the primary hypotheses. Clinically significant change will be defined as high-end state functioning (a BDI-II score <14) combined with a total score reduction greater than the reliable change index score. Maintenance of gains will be assessed at 3-month follow-up.

ETHICS AND DISSEMINATION

The current trial protocol has been approved by the Human Research Ethics Committee of St Vincent's Hospital and the University of New South Wales, Sydney.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry: ACTRN12613000139774 and Clinicaltrials.gov: NCT01787513. This trial protocol is written in compliance with the Standard Protocol Items: recommendations for Interventional Trials (SPIRIT) guidelines.

Online mental health resources in rural Australia: clinician perceptions of acceptability

BACKGROUND

Online mental health resources have been proposed as an innovative means of overcoming barriers to accessing rural mental health services. However, clinicians tend to express lower satisfaction with online mental health resources than do clients.

OBJECTIVE

To understand rural clinicians' attitudes towards the acceptability of online mental health resources as a treatment option in the rural context.

METHODS

In-depth interviews were conducted with 21 rural clinicians (general practitioners, psychologists, psychiatrists, and clinical social workers). Interviews were supplemented with rural-specific vignettes, which described clinical scenarios in which referral to online mental health resources might be considered. Symbolic interactionism was used as the theoretical framework for the study, and interview transcripts were thematically analyzed using a constant comparative method.

RESULTS

Clinicians were optimistic about the use of online mental health resources into the future, showing a preference for integration alongside existing services, and use as an adjunct rather than an alternative to traditional approaches. Key themes identified included perceptions of resources, clinician factors, client factors, and the rural and remote context. Clinicians favored resources that were user-friendly and could be integrated into their clinical practice. Barriers to use included a lack of time to explore resources, difficulty accessing training in the rural environment, and concerns about the lack of feedback from clients. Social pressure exerted within professional clinical networks contributed to a cautious approach to referring clients to online resources.

CONCLUSIONS

Successful implementation of online mental health resources in the rural context requires attention to clinician perceptions of acceptability. Promotion of online mental health resources to rural clinicians should include information about resource effectiveness, enable integration with existing services, and provide opportunities for renegotiating the socially defined role of the clinician in the eHealth era.

Harnessing the power of technology for the treatment and prevention of eating disorders

OBJECTIVE

The objective of this article is to review the available literature regarding the development and evaluation of technology-enhanced interventions for eating disorders.

METHOD

Literature was reviewed pertaining to interventions that use technology (e.g., Internet, mobile phones) for prevention, guided self-help, treatment, relapse prevention, and carer support.

RESULTS

A number of technology-enhanced approaches have been developed for each facet of the care spectrum, and experiences that are reported with their implementation are overall promising. However, only few of them have been evaluated in adequately designed and powered trials.

DISCUSSION

This review suggests that technology-enhanced interventions offer multiple opportunities to improve care for eating disorders. More research is needed on the efficacy, effectiveness, cost-effectiveness, and reach of these approaches to ultimately estimate their public health impact. It is discussed to what extent innovative models of care integrating technology-enhanced interventions and face-to-face interventions may improve service delivery for eating disorders.

Combining imagination and reason in the treatment of depression: a randomized controlled trial of internet-based cognitive-bias modification and internet-CBT for depression

OBJECTIVE

Computerized cognitive-bias modification (CBM) protocols are rapidly evolving in experimental medicine yet might best be combined with Internet-based cognitive behavioral therapy (iCBT). No research to date has evaluated the combined approach in depression. The current randomized controlled trial aimed to evaluate both the independent effects of a CBM protocol targeting imagery and interpretation bias (CBM-I) and the combined effects of CBM-I followed by iCBT.

METHOD

Patients diagnosed with a major depressive episode were randomized to an 11-week intervention (1 week/CBM-I + 10 weeks/iCBT; n = 38) that was delivered via the Internet with no face-to-face patient contact or to a wait-list control (WLC; n = 31).

RESULTS

Intent-to-treat marginal models using restricted maximum likelihood estimation demonstrated significant reductions in primary measures of depressive symptoms and distress corresponding to medium-large effect sizes (Cohen's d = 0.62-2.40) following CBM-I and the combined (CBM-I + iCBT) intervention. Analyses demonstrated that the change in interpretation bias at least partially mediated the reduction in depression symptoms following CBM-I. Treatment superiority over the WLC was also evident on all outcome measures at both time points (Hedges gs = .59-.98). Significant reductions were also observed following the combined intervention on secondary measures associated with depression: disability, anxiety, and repetitive negative thinking (Cohen's d = 1.51-2.23). Twenty-seven percent of patients evidenced clinically significant change following CBM-I, and this proportion increased to 65% following the combined intervention.

CONCLUSIONS

The current study provides encouraging results of the integration of Internet-based technologies into an efficacious and acceptable form of treatment delivery. (PsycINFO Database Record (c) 2013 APA, all rights reserved).

Optimism and mental imagery: a possible cognitive marker to promote well-being?

Optimism is associated with a range of benefits not only for general well-being, but also for mental and physical health. The development of psychological interventions to boost optimism derived from cognitive science would have the potential to provide significant public health benefits, yet cognitive markers of optimism are little understood. The current study aimed to take a first step in this direction by identifying a cognitive marker for optimism that could provide a modifiable target for innovative interventions. In particular we predicted that the ability to generate vivid positive mental imagery of the future would be associated with dispositional optimism. A community sample of 237 participants completed a survey comprising measures of mental imagery and optimism, and socio-demographic information. Vividness of positive future imagery was significantly associated with optimism, even when adjusting for socio-demographic factors and everyday imagery use. The ability to generate vivid mental imagery of positive future events may provide a modifiable cognitive marker of optimism. Boosting positive future imagery could provide a cognitive target for treatment innovations to promote optimism, with implications for mental health and even physical well-being.

Early dropout from psychotherapy for depression with group- and network-model therapists

Administrative data were used to examine early dropout among 16,451 health plan members calling to request psychotherapy for depression. Compared to members referred to group-model therapists, those referred to network-model therapists were more likely to drop out before the initial visit (OR 2.33, 95% CI 2.17-2.50) but less likely to drop out after the first visit (OR 0.45, 95% CI 0.43-0.48). These differences were unaffected by adjustment for neighborhood income and educational attainment, antidepressant use, or generosity of insurance coverage. Efforts to increase the effectiveness of psychotherapy may required different strategies in group- and network-model practice.

Cognitive Bias Modification Using Mental Imagery for Depression: Developing a Novel Computerized Intervention to Change Negative Thinking Styles

Why do some people see their glass as half-empty rather than half-full or even imagine that the glass will be filled in the future? Experimental methods can illuminate how individual differences in information processing style can profoundly impact mood or even result in disorders such as depression. A computerized cognitive bias modification intervention targeting interpretation bias in depression via positive mental imagery (CBM-I) was evaluated by investigating its impact on mental health and cognitive bias compared with a control condition. Twenty-six depressed individuals completed either positive imagery-focussed CBM-I or a control condition daily at home over one week. Outcome measures were collected pre-treatment and post-treatment and at two-week follow-up. Individuals in the positive condition demonstrated significant improvements from pre-treatment to post-treatment in depressive symptoms, cognitive bias and intrusive symptoms compared with the control condition. Improvements in depressive symptoms at two-week follow-up were at trend level. The results of this first controlled comparison of positive imagery-focussed CBM-I for depression further support the clinical potential of CBM-I and the development of a novel computerized treatment that could help patients imagine a more positive future. Broader implications concern the modification of individual differences in personality variables via their interaction with key information processing targets. Copyright © 2011 John Wiley & Sons, Ltd.

Mobile interventions for severe mental illness: design and preliminary data from three approaches

Mobile devices can be used to deliver psychosocial interventions, yet there is little prior application in severe mental illness. We provide the rationale, design, and preliminary data from 3 ongoing clinical trials of mobile interventions developed for bipolar disorder or schizophrenia. Project 1 used a personal digital assistant to prompt engagement in personalized self-management behaviors based on real-time data. Project 2 employed experience sampling through text messages to facilitate case management. Project 3 was built on group functional skills training for schizophrenia by incorporating between-session mobile phone contacts with therapists. Preliminary findings were of minimal participant attrition, and no broken devices; yet, several operational and technical barriers needed to be addressed. Adherence was similar to that reported in nonpsychiatric populations, with high participant satisfaction. Therefore, mobile devices seem feasible and acceptable in augmenting psychosocial interventions for severe mental illness, with future research in establishing efficacy, cost effectiveness, and ethical and safety protocols.

Cost-effectiveness of therapist-delivered online cognitive-behavioural therapy for depression: randomised controlled trial

BACKGROUND

Therapist-delivered online cognitive-behavioural therapy (CBT) has been found to be effective for depression in primary care.

AIMS

To determine the cost-effectiveness of online CBT compared with usual care.

METHOD

Economic evaluation at 8 months alongside a randomised controlled trial. Cost to the National Health Service (NHS), personal costs, and the value of lost productivity, each compared with outcomes based on the Beck Depression Inventory and quality-adjusted life-years (QALYs). Incremental analysis indicated the NHS cost per QALY gain.

RESULTS

Online CBT was more expensive than usual care, although the outcomes for the CBT group were better. Cost per QALY gain based on complete case data was £17,173, and £10,083 when missing data were imputed.

CONCLUSIONS

Online CBT delivered by a therapist in real time is likely to be cost-effective compared with usual care if society is willing to pay at least £20,000 per QALY; it could be a useful alternative to face-to-face CBT.

Black-skies planning? Prioritising mental health services in times of austerity

During the period of austerity that we now face, the National Health Service (NHS), including mental health services, will have to make efficiency savings at a time when demand for services is likely to rise. It is critical to highlight that investment in evidence-based prevention, early intervention and treatment for mental disorders can have economic benefits that go far beyond the health sector. Many potential areas for efficiency savings, such as resources invested in management and administration, are relevant across the whole of the health system. The economic downturn may, however, also present a specific opportunity for radical innovation within the mental health system.

A roadmap to computer-based psychotherapy in the United States

Computers can be used to deliver self-guided interventions and to provide access to live therapists at remote locations. These treatment modalities could help overcome barriers to treatment, including cost, availability of therapists, logistics of scheduling and traveling to appointments, stigma, and lack of therapist training in evidence-based treatments (EBTs). EBTs could be delivered at any time in any place to individuals who might otherwise not have access to them, improving public mental health across the United States. In order to fully exploit the opportunities to use computers for mental health care delivery, however, advances need to be made in four domains: (1) research, (2) training, (3) policy, and (4) industry. This article discusses specific challenges (and some possible solutions) to implementing computer-based distance therapy and self-guided treatments in the United States. It lays out both a roadmap and, in each of the four domains, the milestones that need to be met to reach the goal of making EBTs for behavioral health problems available to all Americans.