Efficacy of an Internet- and Mobile-Based Intervention for Subclinical Anxiety and Depression (ICare Prevent) with Two Guidance Formats: Results from a Three-Armed Randomized Controlled Trial.

INTRODUCTION: Limited research exists on intervention efficacy for comorbid subclinical anxiety and depressive disorders, despite their common co-occurrence. Internet- and mobile-based interventions (IMIs) are promising to reach individuals facing subclinical symptoms. OBJECTIVE: This study aimed to evaluate the efficacy of a transdiagnostic and self-tailored IMI in reducing subclinical anxiety and depressive symptom severity with either individualized (IG-IMI) or automated (AG-IMI) guidance compared to a waitlist control group with care-as-usual access (WLC). METHODS: Participants included 566 adults with subclinical anxiety (GAD-7 ≥ 5) and/or depressive (CES-D ≥16) symptoms, who did not meet criteria for a full-syndrome depressive or anxiety disorder. In a three-arm randomized clinical trial, participants were randomized to a cognitive behavioral 7-session IMI plus booster session with IG-IMI (n = 186) or AG-IMI (n = 189) or WLC (n = 191). Primary outcomes included observer-rated anxiety (HAM-A) and depressive (QIDS) symptom severity 8 weeks after randomization assessed by blinded raters via telephone. Follow-up outcomes at 6 and 12 months are reported. RESULTS: Symptom severity was significantly lower with small to medium effects in IG-IMI (anxiety: d = 0.45, depression: d = 0.43) and AG-IMI (anxiety: d = 0.31, depression: d = 0.32) compared to WLC. No significant differences emerged between guidance formats in primary outcomes. There was a significant effect in HAM-A after 6 months favoring AG-IMI. On average, participants completed 85.38% of IG-IMI and 77.38% of AG-IMI. CONCLUSIONS: A transdiagnostic, self-tailored IMI can reduce subclinical anxiety and depressive symptom severity, but 12-month long-term effects were absent. Automated guidance holds promise for enhancing the scalability of IMIs in broad prevention initiatives.

Using web-based, guided self-help to bridge the waiting time for face-to-face out-patient treatment for bulimic-spectrum disorders: randomised controlled trial.

BACKGROUND: Although effective treatments for bulimic-spectrum eating disorders exist, access is often delayed because of limited therapist availability and lengthy waiting lists. Web-based self-help interventions have the potential to bridge waiting times for face-to-face treatment and overcome existing treatment gaps. AIMS: This study aims to assess the effectiveness of a web-based guided self-help intervention (everyBody Plus) for patients with bulimia nervosa, binge eating disorder and other specified feeding and eating disorders who are waiting for out-patient treatment. METHOD: A randomised controlled trial was conducted in Germany and the UK. A total of 343 patients were randomly assigned to the intervention 'everyBody Plus' or a waitlist control condition. The primary outcome was the number of weeks after randomisation until a patient achieved a clinically relevant improvement in core symptoms for the first time. Secondary outcomes included eating disorder attitudes and behaviours, and general psychopathology. RESULTS: At 6- and 12-month follow-up, the probability of being abstinent from core symptoms was significantly larger for the intervention group compared with the control group (hazard ratio: 1.997, 95% CI 1.09-3.65; P = 0.0249). The intervention group also showed larger improvements in eating disorder attitudes and behaviours, general psychopathology, anxiety, depression and quality of life, compared with the control group at most assessment points. Working alliance ratings with the online therapist were high. CONCLUSIONS: The self-help intervention everyBody Plus, delivered with relatively standardised online guidance, can help bridge treatment gaps for patients with bulimic-spectrum eating disorders, and achieve faster and greater reductions in core symptoms.

Nurturing innovation, catalyzing change: Honoring the legacy of Dr. C. Barr Taylor in the eating disorders field.

This Virtual Issue of the International Journal of Eating Disorders honors the legacy of the late Dr. C. Barr Taylor in the eating disorders (EDs) field. For decades, Dr. Taylor led the way in not only conducting the research needed to achieve the ultimate goal of making affordable, accessible, and evidence-based care for EDs available to all, but also nurturing the next generation of scientific leaders and innovators. Articles included in this Virtual Issue are a selection of Dr. Taylor's published works in the Journal in the past decade, spanning original research, ideas worth researching, commentaries, and a systematic review. We hope this Virtual Issue will inspire the next generation of research in EDs, and equally, if not more importantly, the next generation of young investigators in the field. We urge the field to continue and build upon Dr. Taylor's vision-to increase access to targeted prevention and intervention for EDs in innovative and forward-thinking ways-while embracing his unique and powerful mentorship style to lift up early career investigators and create a community of leaders to address and solve our field's biggest challenges.

Investigating perspectives on e-health interventions to enhance maternal mental well-being: Results of a stakeholder interview.

Peripartum mental disorders are highly prevalent conditions and associated with adverse outcomes for the mother, the infant and the whole family. Despite the high burden, help-seeking is low. E-mental health interventions could overcome help-seeking barriers and thus improve perinatal mental health. However, usage and adherence are rather low. This study aims to assess attitudes and needs of different stakeholder groups and to identify relevant topics to develop an intervention meeting the needs of pregnant and postpartum women and thus, increasing utilization and adherence. Therefore, semi-structured interviews and focus groups with pregnant women (n = 3), mothers (n = 4), women who have suffered from a postpartum mood disorder in the past (n = 5), gynaecologists (n = 5), and midwives (n = 5) were conducted. All interviews were audio-recorded, transcribed verbatim, and analyzed using a thematic analysis. Almost half of the stakeholders reported previous experiences with e-mental health services. Anonymity, flexibility, promoting help-seeking, or bridging waiting-time for treatment as usual were regarded as the main benefits. Concerns regarding the usefulness of e-mental health interventions, absence of face-to-face contact or lack of integration into routine care were considered as barriers. With regard to the desired program content, six main topics were identified: pregnancy and puerperium, peripartum mood swings and disorders, support options, self-care, partnership, and fatherhood. Regarding preferred characteristics of e-mental health programs, stakeholders mentioned customizability, individual guidance, evaluation of user-feedback and continuous adoption, as well as a responsive and user-friendly design. Overall, online interventions for perinatal mental health were mainly considered as beneficial. Stakeholders underlined the high need for education regarding the use and effectiveness of e-mental health, to overcome concerns and obstacles and improve acceptability. Furthermore, developing customizable and individually-guided interventions were considered as promising to increase utilization of and adherence to e-mental health interventions.

Effectiveness of an App-Based Short Intervention to Improve Sleep: Randomized Controlled Trial.

BACKGROUND: A growing body of evidence for digital interventions to improve sleep shows promising effects. The interventions investigated so far have been primarily web-based; however, app-based interventions may reach a wider audience and be more suitable for daily use. OBJECTIVE: This study aims to evaluate the intervention effects, adherence, and acceptance of an unguided app-based intervention for individuals who wish to improve their sleep. METHODS: In a randomized controlled trial, we evaluated the effects of an app-based short intervention (Refresh) to improve sleep compared with a waitlist condition. Refresh is an 8-week unguided intervention covering the principles of cognitive behavioral therapy for insomnia (CBT-I) and including a sleep diary. The primary outcome was sleep quality (insomnia symptoms) as self-assessed by the Regensburg Insomnia Scale (RIS). The secondary outcomes were depression (9-item Patient Health Questionnaire [PHQ-9] score) and perceived insomnia-related impairment. RESULTS: We included 371 participants, of which 245 reported poor sleep at baseline. About 1 in 3 participants who were allocated to the intervention group never accessed the intervention. Active participants completed on average 4 out of 8 chapters. Retention rates were 67.4% (n=250) at postassessment and 57.7% (n=214) at the 6-month follow-up. At postintervention, insomnia symptoms in the intervention group had improved more than those in the waitlist group, with a small effect (d=0.26) in the whole sample and a medium effect (d=0.45) in the subgroup with poor sleep. Effects in the intervention group were maintained at follow-up. Perceived insomnia-related impairment also improved from pre- to postassessment. No significant intervention effect on depression was detected. Working alliance and acceptance were moderate to good. CONCLUSIONS: An app-based, unguided intervention is a feasible and effective option to scale-up CBT-I-based treatment, but intervention uptake and adherence need to be carefully addressed. TRIAL REGISTRATION: ISRCTN Registry ISRCTN53553517; https://www.isrctn.com/ISRCTN53553517.

Moderators and mediators of a digital cognitive behavior therapy-guided self-help intervention for eating disorders: Informing future design efforts.

OBJECTIVE: The Student Bodies-Eating Disorders intervention (SB-ED), a digital cognitive behavior therapy-guided self-help intervention for college women with an eating disorder, is effective for reducing eating disorder psychopathology. The purpose of this study was to evaluate moderators and mediators of the SB-ED intervention. To our knowledge, this is the first evaluation of clinical mediators of a digital intervention for women with eating disorders. METHOD: This is an exploratory secondary analysis of a cluster randomized trial comparing the SB-ED intervention to referral to usual care among 690 women at 27 United States colleges. Moderators included body mass index (BMI), race, ethnicity, weight/shape concerns, eating disorder impairment, thin ideal internalization, depression, anxiety, and motivation for treatment, assessed at baseline. Thin ideal internalization and depressive symptoms were tested as predictors at postintervention and mediators at 2-year follow-up. Outcome was change in global eating disorder psychopathology. RESULTS: BMI moderated the effect of the intervention at follow-up (but not posttreatment), with individuals with a lower BMI experiencing more continued improvements in eating disorder psychopathology following the intervention than individuals with a higher BMI. Thin ideal internalization mediated the effect of the intervention at follow-up, and depression partially mediated the effect of the intervention at follow-up. CONCLUSIONS: Results of the mediator analyses suggest that helping college women reduce inflated internalization of the thin ideal and improve depressive symptoms leads to improvements in eating disorder psychopathology. Results also suggest opportunities to optimize the intervention so individuals across the BMI spectrum experience ongoing improvements over time. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A pilot randomized controlled trial of a cognitive-behavioral therapy guided self-help mobile app for the post-acute treatment of anorexia nervosa: A registered report.

INTRODUCTION: Relapse following acute treatment for anorexia nervosa (AN) is common. Evidence suggests cognitive-behavioral therapy (CBT) may be useful in the post-acute period, but few patients have access to trained providers. mHealth technologies have potential to increase access to high-quality care for AN, including in the post-acute period. The aim of this study is to estimate the preliminary feasibility and effectiveness of a CBT-based mobile intervention plus treatment as usual (TAU), offered with and without an accompanying social networking feature. METHOD: In the current pilot randomized controlled trial, women with AN who have been discharged from acute treatment in the past 2 months (N = 90) will be randomly assigned to a CBT-based mobile intervention plus treatment as usual (TAU), a CBT-based mobile intervention including social networking plus TAU, or TAU alone. We will examine feasibility, acceptability, and preliminary effectiveness of the three conditions in terms of reducing eating disorder psychopathology, reducing frequency of eating disorder behaviors, achieving weight maintenance, reducing depression and suicidal ideation, and reducing clinical impairment. We will examine rehospitalization and full recovery rates in an exploratory fashion. We will also examine whether the mobile intervention and social networking feature change the proposed targets and whether changes in targets are associated with benefit, as well as conduct exploratory analyses to identify within-mobile intervention predictors and moderators of outcome. DISCUSSION: Ultimately, this research may lead to increased access to evidence-based treatment for individuals with AN and prevention of the extreme negative consequences that can result from this serious disorder. PUBLIC SIGNIFICANCE: Relapse after acute treatment for anorexia nervosa is common, and few patients have access to trained providers to support them following acute care. This study will pilot a coached mobile app, including a social networking component, for this population. If ultimately successful, our approach could greatly increase access to evidence-based treatment for individuals with anorexia nervosa and ultimately prevent the extreme negative consequences that can result from this serious disorder.

Challenges in Recruiting University Students for Web-Based Indicated Prevention of Depression and Anxiety: Results From a Randomized Controlled Trial (ICare Prevent).

BACKGROUND: Depression and anxiety are common mental health conditions in college and university student populations. Offering transdiagnostic, web-based prevention programs such as ICare Prevent to those with subclinical complaints has the potential to reduce some barriers to receiving help (eg, availability of services, privacy considerations, and students' desire for autonomy). However, uptake of these interventions is often low, and accounts of recruitment challenges are needed to complement available effectiveness research in student populations. OBJECTIVE: The aims of this study were to describe recruitment challenges together with effective recruitment strategies for ICare Prevent and provide basic information on the intervention's effectiveness. METHODS: A 3-arm randomized controlled trial was conducted in a student sample with subclinical symptoms of depression and anxiety on the effectiveness of an individually guided (human support and feedback on exercises provided after each session, tailored to each participant) and automatically guided (computer-generated messages provided after each session, geared toward motivation) version of ICare Prevent, a web-based intervention with transdiagnostic components for the indicated prevention of depression and anxiety. The intervention was compared with care as usual. Descriptive statistics were used to outline recruitment challenges and effective web-based and offline strategies as well as students' use of the intervention. A basic analysis of intervention effects was conducted using a Bayesian linear mixed model, with Bayes factors reported as the effect size. RESULTS: Direct recruitment through students' email addresses via the central student administration was the most effective strategy. Data from 35 participants were analyzed (individually guided: n=14, 40%; automatically guided: n=8, 23%; care as usual: n=13, 37%). Use of the intervention was low, with an average of 3 out of 7 sessions (SD 2.9) completed. The analyses did not suggest any intervention effects other than anecdotal evidence (all Bayes factors10≤2.7). CONCLUSIONS: This report adds to the existing literature on recruitment challenges specific to the student population. Testing the feasibility of recruitment measures and the greater involvement of the target population in their design, as well as shifting from direct to indirect prevention, can potentially help future studies in the field. In addition, this report demonstrates an alternative basic analytical strategy for underpowered randomized controlled trials. TRIAL REGISTRATION: International Clinical Trials Registry Platform NTR6562; https://tinyurl.com/4rbexzrk. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s13063-018-2477-y.

Indicated Web-Based Prevention for Women With Anorexia Nervosa Symptoms: Randomized Controlled Efficacy Trial.

BACKGROUND: Although preventive interventions for eating disorders in general have shown promise, interventions specifically targeting individuals at risk for anorexia nervosa (AN) are lacking. OBJECTIVE: The aim of this study was to determine the efficacy of a guided, indicated web-based prevention program for women at risk for AN. METHODS: We conducted a randomized controlled efficacy trial for women at risk for AN. Assessments were carried out at baseline (before the intervention), after the intervention (10 weeks after baseline), and at 6- and 12-month follow-ups (FUs). A total of 168 women with low body weight (17.5 kg/m2≤BMI≤19 kg/m2) and high weight concerns or with normal body weight (19 kg/m2

Online prevention programmes for university students: stakeholder perspectives from six European countries.

BACKGROUND: Students beginning university are at a heightened risk for developing mental health disorders. Online prevention and early intervention programmes targeting mental health have the potential to reduce this risk, however, previous research has shown uptake to be rather poor. Understanding university stakeholders' (e.g. governing level and delivery staff [DS] and students) views and attitudes towards such online prevention programmes could help with their development, implementation and dissemination within university settings. METHODS: Semi-structured interviews, focus groups and online surveys were completed with staff at a governing level, university students and DS (i.e. student health or teaching staff) from six European countries. They were asked about their experiences with, and needs and attitudes towards, online prevention programmes, as well as the factors that influence the translation of these programmes into real-world settings. Results were analyzed using thematic analysis. RESULTS: Participating stakeholders knew little about online prevention programmes for university settings; however, they viewed them as acceptable. The main themes to emerge were the basic conditions and content of the programmes, the awareness and engagement, the resources needed, the usability and the responsibility and ongoing efforts to increase reach. CONCLUSIONS: Overall, although these stakeholders had little knowledge about online prevention programmes, they were open to the idea of introducing them. They could see the potential benefits that these programmes might bring to a university setting as a whole and the individual students and staff members.

Stakeholders' perspectives on online interventions to improve mental health in eating disorder patients and carers in Germany.

BACKGROUND: Eating disorders are causing severe consequences for those affected as well as a high burden for their carers. Although there is a substantial need for psychological assistance, different factors are hindering access to support. Internet-based interventions can help to overcome these barriers. To date, there is only little knowledge on attitudes of potential users, facilitators (e.g. psychologists) and decision makers (e.g. health insurances) regarding these interventions. METHODS: We conducted focus groups with potential users (N = 30) and semi-structured interviews with potential decision makers (N = 4). Potential facilitators (N = 41) participated in an online survey. Stakeholders' experiences, attitudes, and their needs regarding Internet-based interventions for eating disorder patients and carers were assessed. Furthermore, hindering and fostering factors related to reach, adoption, implementation and maintenance were analyzed. RESULTS: About two-thirds of the participating facilitators have heard or read about Internet-based interventions in general. In contrast, the other stakeholders mentioned to have no or little experience with such interventions. Factors like anonymity, availability and cost-effectiveness were seen as major advantages. Also disadvantages, e.g. lack of personal contact, limitations by disease severity and concerns on data safety, were mentioned. Stakeholders stated the need for interventions which are usable, evidence-based, tailored and provide personal support. CONCLUSION: Stakeholders considered Internet-based programmes to have more advantages than disadvantages. Effort should be put in providing systematic education to address prejudices. When offering an online intervention, stakeholders' needs, as well as a continuous evaluation and adaptation, have to be taken into account.

A systematic review of reach, adoption, implementation and maintenance of Internet-based interventions to prevent eating disorders in adults.

BACKGROUND: There is a growing body of research and evidence for the efficacy of Internet-based eating disorder (ED) prevention interventions for adults. However, much less is known about the reach, adoption, implementation and maintenance of these interventions. The RE-AIM (reach, efficacy/effectiveness, adoption, implementation, maintenance) model provides a framework to systematically assess this information. METHODS: A literature search was conducted in PubMed, Web of Science and PsycINFO for articles published between 2000 and 2019. Additionally, reference lists of the studies included and existing reviews published until the end of 2020 were searched. Sixty original articles describing 54 individual studies fulfilled inclusion criteria. Data were extracted for a total of 43 RE-AIM indicators for each study. Fostering and hindering factors for reach, adoption, implementation and maintenance were assessed qualitatively. RESULTS: Overall reporting rates were best for the RE-AIM dimensions reach (62.6%), implementation (57.0%) and effectiveness (54.2%), while adoption (24.2%) and maintenance (21.5%) had comparatively low overall reporting rates. Reporting on indicators of internal validity, such as sample size, effects or description of interventions was better than indicators relevant for dissemination and implementation in real-world settings, e.g. characteristics of non-participants, characteristics and representativeness of settings, and data to estimate cost. CONCLUSIONS: Because most Internet-based ED prevention interventions are provided in a research-funded context, little is known about their public health impact. Better reporting of factors determining external validity is needed to inform dissemination and implementation of these interventions.

Stakeholders' views on online interventions to prevent common mental health disorders in adults implemented into existing healthcare systems in Europe.

BACKGROUND: Online preventive interventions can help to reduce the incidence of mental disorders. Whereas knowledge on stakeholders' attitudes and factors relevant for successfully integrating online treatment into existing healthcare systems is available, knowledge is scarce for online prevention. METHODS: Stakeholders from Germany, Switzerland, Austria and Spain were surveyed. Potential facilitators/delivery staff (e.g. psychologists, psychotherapists) completed an online questionnaire (n = 183), policy makers (i.e. from the governing sector or health insurance providers) participated in semi-structured interviews (n = 16) and target groups/potential users of mental illness prevention (n = 49) participated in ten focus groups. Thematic analysis was used to identify their experiences with and attitudes and needs regarding online programmes to prevent mental disorders. Additionally, it was examined which groups they consider underserved and which factors they consider as fostering and hindering for reach, adoption, implementation and maintenance (cf. RE-AIM model) when integrating online prevention into existing healthcare systems. RESULTS: Main advantages of online mental illness prevention are perceived in low structural and psychological barriers. Lack of personal contact, security, privacy and trust concerns were discussed as disadvantages. Relevant needs are high usability and target group appropriateness, evidence for effectiveness and the use of motivational tools. CONCLUSIONS: Positive attitudes among stakeholders are the key for successful integration of online mental illness prevention into existing healthcare systems. Potential facilitators/delivery staff must receive training and support to implement these programmes; the programmes must be attractive and continuously evaluated, updated and promoted to ensure ongoing reach; and existing infrastructure and contextual factors must be considered.

Stakeholder consultation to facilitate implementation of interventions for prevention and promotion in mental health in Europe: introducing the design of the ICare Stakeholder Survey.

BACKGROUND: Online interventions to prevent mental health problems have proven to be effective. However, knowledge about their implementation in real-world practice as well as for dissemination to the target groups in different settings is scarce. The goal of the 'ICare' network is to establish a comprehensive model of eMental-health service delivery in and across different European countries. Since implementation and dissemination are influenced by many contextual factors, in the first phase of ICare a stakeholder survey was conducted. The survey aim was to explore stakeholders' experiences, needs and attitudes regarding Internet-based prevention of mental health problems and hindering and fostering factors for implementation and dissemination. This article is part of a supplement and describes the design of the stakeholder survey. Survey results are published in separate articles in the same supplement. METHODS: Based on a literature review and the individual characteristics of the ICare interventions, stakeholder groups were identified in different settings across six European countries. The RE-AIM framework guided the development of the research questions and survey instruments. A concurrent mixed methods design was applied comprising focus groups with the intended target groups of ICare interventions, an online questionnaire with potential facilitators/delivery staff and semi-structured interviews with policy makers. CONCLUSION: The challenge was to develop a design that allowed flexibility but at the same did not jeopardize the validity of the study. Implications drawn from this survey are not restricted to specific preventive interventions but will provide general information on how online mental illness prevention can be best implemented in various settings.

Effectiveness of a Digital Cognitive Behavior Therapy-Guided Self-Help Intervention for Eating Disorders in College Women: A Cluster Randomized Clinical Trial.

Importance: Eating disorders (EDs) are common, serious psychiatric disorders on college campuses, yet most affected individuals do not receive treatment. Digital interventions have the potential to bridge this gap. Objective: To determine whether a coached, digital, cognitive behavior therapy (CBT) intervention improves outcomes for college women with EDs compared with referral to usual care. Design, Setting, and Participants: This cluster randomized trial was conducted from 2014 to 2018 at 27 US universities. Women with binge-purge EDs (with both threshold and subthreshold presentations) were recruited from enrolled universities. The 690 participants were followed up for up to 2 years after the intervention. Data analysis was performed from February to September 2019. Interventions: Universities were randomized to the intervention, Student Bodies-Eating Disorders, a digital CBT-guided self-help program, or to referral to usual care. Main Outcomes and Measures: The main outcome was change in overall ED psychopathology. Secondary outcomes were abstinence from binge eating and compensatory behaviors, as well as ED behavior frequencies, depression, anxiety, clinical impairment, academic impairment, and realized treatment access. Results: A total of 690 women with EDs (mean [SD] age, 22.12 [4.85] years; 414 [60.0%] White; 120 [17.4%] Hispanic; 512 [74.2%] undergraduates) were included in the analyses. For ED psychopathology, there was a significantly greater reduction in the intervention group compared with the control group at the postintervention assessment (ß [SE], -0.44 [0.10]; d = -0.40; t1387 = -4.23; P < .001), as well as over the follow-up period (ß [SE], -0.39 [0.12]; d = -0.35; t1387 = -3.30; P < .001). There was not a significant difference in abstinence from any ED behaviors at the postintervention assessment (odds ratio, 1.48; 95% CI, 0.48-4.62; P = .50) or at follow-up (odds ratio, 1.51; 95% CI, 0.63-3.58; P = .36). Compared with the control group, the intervention group had significantly greater reductions in binge eating (rate ratio, 0.82; 95% CI, 0.70-0.96; P = .02), compensatory behaviors (rate ratio, 0.68; 95% CI, 0.54-0.86; P < .001), depression (ß [SE], -1.34 [0.53]; d = -0.22; t1387 = -2.52; P = .01), and clinical impairment (ß [SE], -2.33 [0.94]; d = -0.21; t1387 = -2.49; P = .01) at the postintervention assessment, with these gains sustained through follow-up for all outcomes except binge eating. Groups did not differ in terms of academic impairment. The majority of intervention participants (318 of 385 participants [83%]) began the intervention, whereas only 28% of control participants (76 of 271 participants with follow-up data available) sought treatment for their ED (odds ratio, 12.36; 95% CI, 8.73-17.51; P < .001). Conclusions and Relevance: In this cluster randomized clinical trial comparing a coached, digital CBT intervention with referral to usual care, the intervention was effective in reducing ED psychopathology, compensatory behaviors, depression, and clinical impairment through long-term follow-up, as well as realizing treatment access. No difference was found between the intervention and control groups for abstinence for all ED behaviors or academic impairment. Given its scalability, a coached, digital, CBT intervention for college women with EDs has the potential to address the wide treatment gap for these disorders. Trial Registration: ClinicalTrials.gov Identifier: NCT02076464.

Using Digital Technology to Reduce the Prevalence of Mental Health Disorders in Populations: Time for a New Approach.

Digital technology, which includes the collection, analysis, and use of data from a variety of digital devices, has the potential to reduce the prevalence of disorders and improve mental health in populations. Among the many advantages of digital technology is that it allows preventive and clinical interventions, both of which are needed to reduce the prevalence of mental health disorders, to be feasibly integrated into health care and community delivery systems and delivered at scale. However, the use of digital technology also presents several challenges, including how systems can manage and implement interventions in a rapidly changing digital environment and handle critical issues that affect population-wide outcomes, including reaching the targeted population, obtaining meaningful levels of uptake and use of interventions, and achieving significant outcomes. We describe a possible solution, which is to have an outcome optimization team that focuses on the dynamic use of data to adapt interventions for populations, while at the same time, addressing the complex relationships among reach, uptake, use, and outcome. We use the example of eating disorders in young people to illustrate how this solution could be implemented at scale. We also discuss system, practitioner-related, and other issues related to the adaptation of such an approach. Digital technology has great potential for facilitating the reduction of mental illness rates in populations. However, achieving this goal will require the implementation of new approaches. As a solution, we argue for the need to create outcome optimization teams, tasked with integrating data from various sources and using advanced data analytics and new designs to develop interventions/strategies to increase reach, uptake, use/engagement, and outcomes for both preventive and treatment interventions.

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

OBJECTIVE: Using data from a randomized controlled trial, we examined two different strategies to recruit participants for an indicated preventive intervention (StudentBodies-AN) for women at risk for anorexia nervosa and compared symptom severity and program utilization in participants recruited through each strategy. METHOD: We recruited participants by announcing the study (a) in lectures at universities and handing out screening questionnaires (face-to-face recruitment) and (b) through different media channels, and the participants completed the screening questionnaire on our study website (media-based recruitment). We compared symptom severity and program utilization between the two groups. RESULTS: A total of 4,646 women (face-to-face: 3,741, media-based: 905) were screened and 168 women (face-to-face: 114, media-based: 54) were randomized to the intervention. We found a statistically and clinically significant association between recruitment strategy and symptom severity: Participants who were recruited through media were more likely to fulfill the inclusion criteria (40.6% vs. 13.3%; p < .001) and endorsed significantly more frequently core behaviors and attitudes of disordered eating (EDE global score: 2.72 vs. 2.17, p < .05; Weight Concerns Scale [WCS] score: 66.05 vs. 56.40, p < .05) at baseline than participants recruited face-to-face. Also, participants recruited through media were more likely to log onto the program (χ2 = 5.06; p = .029) and accessed more of the intervention. DISCUSSION: Recruitment through media seems both more feasible and suitable to reach individuals in need of indicative prevention, and should be part of a multimodal recruitment package. Future studies should be explicitly designed to investigate the impact of recruitment modality on reach and effectiveness including cost-effectiveness analyses.

A Framework for Applying Natural Language Processing in Digital Health Interventions.

BACKGROUND: Digital health interventions (DHIs) are poised to reduce target symptoms in a scalable, affordable, and empirically supported way. DHIs that involve coaching or clinical support often collect text data from 2 sources: (1) open correspondence between users and the trained practitioners supporting them through a messaging system and (2) text data recorded during the intervention by users, such as diary entries. Natural language processing (NLP) offers methods for analyzing text, augmenting the understanding of intervention effects, and informing therapeutic decision making. OBJECTIVE: This study aimed to present a technical framework that supports the automated analysis of both types of text data often present in DHIs. This framework generates text features and helps to build statistical models to predict target variables, including user engagement, symptom change, and therapeutic outcomes. METHODS: We first discussed various NLP techniques and demonstrated how they are implemented in the presented framework. We then applied the framework in a case study of the Healthy Body Image Program, a Web-based intervention trial for eating disorders (EDs). A total of 372 participants who screened positive for an ED received a DHI aimed at reducing ED psychopathology (including binge eating and purging behaviors) and improving body image. These users generated 37,228 intervention text snippets and exchanged 4285 user-coach messages, which were analyzed using the proposed model. RESULTS: We applied the framework to predict binge eating behavior, resulting in an area under the curve between 0.57 (when applied to new users) and 0.72 (when applied to new symptom reports of known users). In addition, initial evidence indicated that specific text features predicted the therapeutic outcome of reducing ED symptoms. CONCLUSIONS: The case study demonstrates the usefulness of a structured approach to text data analytics. NLP techniques improve the prediction of symptom changes in DHIs. We present a technical framework that can be easily applied in other clinical trials and clinical presentations and encourage other groups to apply the framework in similar contexts.

Efficacy of a Specialized Group Intervention for Compulsive Exercise in Inpatients with Anorexia Nervosa: A Randomized Controlled Trial.

INTRODUCTION: Treatment of compulsive exercise is recognized as a key unmet challenge in the treatment of anorexia nervosa (AN). To address this challenge, we developed the manualized group intervention "healthy exercise behavior" (HEB). This study evaluates the efficacy of HEB for the reduction of compulsive exercise as add-on to routine inpatient treatment (treatment as usual [TAU]) in a randomized controlled trial. METHODS: Two hundred and seven adolescent and adult female inpatients with (atypical) AN were randomly allocated to TAU or to additional participation in HEB (TAU + HEB). HEB integrates elements of exercise-based therapy into a cognitive-behavioral approach. Assessments took place at admission, pre-intervention, post-intervention, discharge, and 6 months follow-up. Primary outcome was the severity of compulsive exercise assessed by the Commitment to Exercise Scale between pre- and post-intervention; secondary outcomes were additional aspects of compulsive exercise, assessed by the Compulsive Exercise Test, weight gain, eating disorder and general psychopathology, and emotion regulation. RESULTS: In intention-to-treat analysis for the primary outcome, the TAU + HEB group showed significantly stronger reductions in the severity of compulsive exercise compared to the TAU group (z = -2.81; p = 0.005; effect size [ES] = -0.3). We also found significantly stronger reductions from admission to discharge (z= 2.62; p = 0.009; ES = -0.43), and from admission to follow-up (z = 2.1; p = 0.035; ES = -0.39). Regarding secondary outcomes, we found significant group differences between pre- and post-intervention in additional aspects of compulsive exercise (z = -2.55; p = 0.011; ES = -0.27). We did not find significant differences regarding weight gain, eating disorder and general psychopathology, and emotion regulation. CONCLUSIONS: Our intervention proved efficacious in reducing compulsive exercise in inpatients with (atypical) AN.