Maximizing the public health impact of eating disorder services: A simulation study

The natural course of binge-eating disorder: findings from a prospective, community-based study of adults

BACKGROUND

Epidemiological data offer conflicting views of the natural course of binge-eating disorder (BED), with large retrospective studies suggesting a protracted course and small prospective studies suggesting a briefer duration. We thus examined changes in BED diagnostic status in a prospective, community-based study that was larger and more representative with respect to sex, age of onset, and body mass index (BMI) than prior multi-year prospective studies.

METHODS

Probands and relatives with current DSM-IV BED (n = 156) from a family study of BED ('baseline') were selected for follow-up at 2.5 and 5 years. Probands were required to have BMI > 25 (women) or >27 (men). Diagnostic interviews and questionnaires were administered at all timepoints.

RESULTS

Of participants with follow-up data (n = 137), 78.1% were female, and 11.7% and 88.3% reported identifying as Black and White, respectively. At baseline, their mean age was 47.2 years, and mean BMI was 36.1. At 2.5 (and 5) years, 61.3% (45.7%), 23.4% (32.6%), and 15.3% (21.7%) of assessed participants exhibited full, sub-threshold, and no BED, respectively. No participants displayed anorexia or bulimia nervosa at follow-up timepoints. Median time to remission (i.e. no BED) exceeded 60 months, and median time to relapse (i.e. sub-threshold or full BED) after remission was 30 months. Two classes of machine learning methods did not consistently outperform random guessing at predicting time to remission from baseline demographic and clinical variables.

CONCLUSIONS

Among community-based adults with higher BMI, BED improves with time, but full remission often takes many years, and relapse is common.

Alleviating the burden of depression: a simulation study on the impact of mental health services

AIMS

Depressive disorders are ranked as the single leading cause of disability worldwide. Despite immense efforts, there is no evidence of a global reduction in the disease burden in recent decades. The aim of the study was to determine the public health impact of the current service system (status quo), to quantify its effects on the depression-related disease burden and to identify the most promising strategies for improving healthcare for depression on the population level.

METHODS

A Markov model was developed to quantify the impact of current services for depression (including prevention, treatment and aftercare interventions) on the total disease burden and to investigate the potential of alternative scenarios (e.g., improved reach or improved treatment effectiveness). Parameter settings were derived from epidemiological information and treatment data from the literature. Based on the model parameters, 10,000,000 individual lives were simulated for each of the models, based on monthly transition rates between dichotomous health states (healthy vs. diseased). Outcome (depression-related disease burden) was operationalized as the proportion of months spent in depression.

RESULTS

The current healthcare system alleviates about 9.5% (95% confidence interval [CI]: 9.2%-9.7%) of the total disease burden related to depression. Chronic cases cause the majority (83.2%) of depression-related burden. From a public health perspective, improving the reach of services holds the largest potential: Maximum dissemination of prevention (26.9%; CI: 26.7%-27.1%) and treatment (26.5%; CI: 26.3%-26.7%) would result in significant improvements on the population level.

CONCLUSIONS

The results confirm an urgent need for action in healthcare for depression. Extending the reach of services is not only more promising but also probably more achievable than increasing their effectiveness. Currently, the system fails to address the prevention and treatment of chronic cases. The large proportion of the disease burden associated with chronic courses highlights the need for improved treatment policies and clinical strategies for this group (e.g., disease management and adaptive or personalized interventions). The model complements the existing literature by providing a new perspective on the depression-related disease burden and the complex interactions between healthcare services and the lifetime course.

Exploring student preferences for implementing a digital mental health intervention in a university setting: Qualitative study within a randomised controlled trial

Objective

Digital interventions can be effective in preventing and treating common mental health conditions among university students. Incorporating student experiences and perspectives in the design and implementation of these programmes may improve uptake and engagement. This qualitative study explored university students' perspectives of a low-intensity video-based mental health intervention, their recommendations for implementing the programme in university settings, and their views and recommendations to address barriers to engagement.

Methods

Participants (N = 115) were students (mean = 20.63 years, SD = 2.10) with elevated distress from 31 Australian universities drawn from a randomised controlled trial of the Uni Virtual Clinic-Lite (UVC-Lite). Data from students randomised to the intervention condition were collected via semi-structured interviews (n = 12) and open-ended questions during post-intervention surveys (n = 103). Data were analysed using content analysis.

Results

Participants generally reported positive views of the intervention, and most felt it should be offered to students as a universal intervention. Multiple methods of disseminating the intervention were suggested, including through university counselling, official platforms (e.g. student support services) and informal channels (e.g. word-of-mouth promotion). Difficulty integrating the programme into everyday life, pre-existing beliefs about mental health and technology-related factors were highlighted as barriers to engagement.

Conclusion

A low-intensity video-based mental health intervention was generally considered to be acceptable and appropriate for students with mild to moderate distress. Participants provided several suggestions to encourage uptake of the intervention and possible pathways to disseminate the intervention to students. The effectiveness of these should be examined in future trials.

Reach and uptake of digital mental health interventions based on cognitive-behavioral therapy for college students: A systematic review

Background

Mental health problems are increasing in prevalence among college students, yet few students receive treatment due to barriers such as insufficient resources in college counseling centers. Digital mental health interventions (DMHIs) have potential to overcome barriers and offer accessible, evidence-based care to college students. However, to evaluate the true public health impact of evidence-based DMHIs, it is important to assess the reach and uptake rates of DMHIs on college campuses.

Objectives

We conducted a systematic review to examine the reach (i.e., % of invited students who express interest) and uptake (i.e., % of enrolled participants who initiate an intervention) of DMHIs based on cognitive-behavioral therapy (CBT) for college students.

Methods

Eight databases were searched. Inclusion criteria included: (1) college population; (2) experimental design; (3) CBT-based intervention; (4) intervention targeting specific mental health conditions; and (5) digital intervention. Reach and uptake rates were calculated from data reported. A systematic narrative review framework was used to synthesize results.

Results

Of 10,315 articles screened, 90 were included. Seventeen studies (19%) reported sufficient data to calculate reach; 35 studies (39%) reported uptake rates. Of studies that reported reach or uptake, most evaluated unguided (n = 20) or guided (n = 16) self-help programs. Measurement methods varied widely. Overall reach was low, whereas uptake was high among enrolled participants.

Discussion

Despite evidence that improving reach and uptake can increase the public health impact of DMHIs, most studies did not report on either outcome. Suggested practices to improve these outcomes, and their reporting, are discussed.

Decreasing the public health burden of eating disorders: Commentary Schleider et al. (2023)

Eating disorders (EDs) are common, disabling, and costly; yet, less than 20% of those with EDs receive treatment. EDs have also skyrocketed in the COVID-19 pandemic, with access to care worse than ever, further solidifying the need to not only make EDs a priority but also embrace new approaches to address this major public health problem. Schleider et al. argue for the single-session intervention (SSI) as one such option and outline an agenda that would aid in building the evidence base and realizing the promise of SSIs for EDs. This commentary details three additional key issues that need to be addressed in order to realize the full potential of SSIs and related approaches and ultimately decrease the public health burden of EDs. These include conducting work to optimize interventions for greatest effectiveness, recognizing the value and working to massively increase reach of interventions like SSIs that can scale and meet diverse needs, and engaging in the work needed to address structural barriers to widespread dissemination of these approaches. Through this agenda, we will do more than embrace a single-session "mindset" and will catalyze the work needed to disseminate SSIs and related approaches at massive scale and maximize their impact.

Prevention and early intervention in eating disorders: findings from a rapid review

BACKGROUND

Eating disorders (EDs) are complex psychological disorders, with low rates of detection and early intervention. They can lead to significant mental and physical health complications, especially if intervention is delayed. Given high rates of morbidity and mortality, low treatment uptake, and significant rates of relapse, it is important to examine prevention, early intervention, and early recognition initiatives. The aim of this review is to identify and evaluate literature on preventative and early intervention programs in EDs.

METHODS

This paper is one of a series of Rapid Reviews, designed to inform the Australian National Eating Disorders Research and Translation Strategy 2021-2031, funded, and released by the Australian Government. To provide a current and rigorous review, peer-reviewed articles between 2009 and 2021 published in English were searched across three databases: ScienceDirect, PubMed and Ovid/Medline. Priority was given to high-level evidence including meta-analyses, systematic reviews, Randomised Control Trials, and large population studies. Findings from selected studies pertaining to prevention and early intervention in EDs were evaluated and are presented in this review.

RESULTS

In total, 130 studies were identified in the current review, 72% relating to prevention and 28% to early intervention. Most programs were theory-driven and targeted one or more ED risk factors such as thin-ideal internalisation and/or body dissatisfaction. There is reasonable evidence to support prevention programs reducing risk factors, particularly as part of school or university-based programs, with established feasibility and relatively high acceptance among students. There is increasing evidence around the use of technology (to increase dissemination potential) and for use of mindfulness approaches (targeting emotional resilience). Few longitudinal studies assessing incident cases following participation in a prevention program exist.

CONCLUSIONS

Although several prevention and early intervention programs have been shown to significantly reduce risk factors, promote symptom recognition, and encourage help-seeking behaviour, most of these studies have been conducted in older adolescent and university aged students, past the age of peak ED onset. One of the most targeted risk factors, body dissatisfaction, is found in girls as young as 6 years old, indicating a need for further research implementing prevention initiatives at younger ages. Follow-up research is limited; thus, the long-term efficacy and effectiveness of studied programs is unknown. Greater attention should be paid to the implementation of prevention and early intervention programs in identified high-risk cohorts or diverse groups, where a more targeted approach may be necessary.

Effectiveness of an online self-help program, expert-patient support, and their combination for eating disorders: Results from a randomized controlled trial

OBJECTIVE

Many individuals with an eating disorder do not receive appropriate care. Low-threshold interventions could help bridge this treatment gap. The study aim was to evaluate the effectiveness of Featback, a fully automated online self-help intervention, online expert-patient support and their combination.

METHOD

A randomized controlled trial with a 12-month follow-up period was conducted. Participants aged 16 or older with at least mild eating disorder symptoms were randomized to four conditions: (1) Featback, a fully automated online self-help intervention, (2) chat or email support from a recovered expert patient, (3) Featback with expert-patient support and (4) a waiting list control condition. The intervention period was 8 weeks and there was a total of six online assessments. The main outcome constituted reduction of eating disorder symptoms over time.

RESULTS

Three hundred fifty five participants, of whom 43% had never received eating disorder treatment, were randomized. The three active interventions were superior to a waitlist in reducing eating disorder symptoms (d = -0.38), with no significant difference in effectiveness between the three interventions. Participants in conditions with expert-patient support were more satisfied with the intervention.

DISCUSSION

Internet-based self-help, expert-patient support and their combination were effective in reducing eating disorder symptoms compared to a waiting list control condition. Guidance improved satisfaction with the internet intervention but not its effectiveness. Low-threshold interventions such as Featback and expert-patient support can reduce eating disorder symptoms and reach the large group of underserved individuals, complementing existing forms of eating disorder treatment.

PUBLIC SIGNIFICANCE STATEMENT

Individuals with eating-related problems who received (1) a fully automated internet-based intervention, (2) chat and e-mail support by a recovered individual or (3) their combination, experienced stronger reductions in eating disorder symptoms than those who received (4) usual care. Such brief and easy-access interventions play an important role in reaching individuals who are currently not reached by other forms of treatment.

Recruitment, adherence and attrition challenges in internet-based indicated prevention programs for eating disorders: lessons learned from a randomised controlled trial of ProYouth OZ

BACKGROUND

Growing evidence supports the effectiveness of Internet-based prevention programs for eating disorders, but the adjunctive benefit of synchronous peer support has yet to be investigated. In the current study, a randomised controlled trial was conducted to evaluate the effectiveness of an indicated Internet-based prevention program (ProYouth OZ) with and without peer-to-peer support in reducing disordered eating behaviours and attitudes.

METHOD

Fifty young adults (18-25 years) with eating disorder symptoms were randomised to one of three study conditions: (1) ProYouth OZ (without peer-to-peer support), (2) ProYouth OZ Peers (with peer-to-peer support), and (3) a waitlist control group. Outcomes were assessed at three different time points. Eating disorder symptoms (primary outcome) were measured with the Eating Disorder Examination Questionnaire.

RESULTS

Of 415 screened participants, 73 (17.6%) were eligible and 213 (51.3%) excluded due to severe eating disorder symptoms. Fifteen participants (30%) completed the post-intervention survey. Of the two intervention groups, 20.6% failed to access any component of the program. Of 17 ProYouth OZ Peers participants, 58.8% attended at least one chat session, 20% attended 2-5 sessions, and 11.8% attended all six sessions. Due to limited outcome data, it was not possible to statistically examine between-group differences in outcomes. Visual inspection of individual profiles revealed that both ProYouth OZ Peers participants who completed the post-intervention survey showed a decrease in disordered eating compared with only one of the six completers in ProYouth OZ.

CONCLUSION

Findings highlight the challenges of trialling Internet-based eating disorder prevention programs in the community. The study identified a large group of emerging adults with eating disorders who were interested in an Internet-based program, suggesting a high level of unmet need. Future research on synchronous peer-to-peer support in Internet-based prevention for eating disorders is warranted. Further studies are required to identify optimal strategies for reaching this population (e.g., online vs. offline) and evaluating the effectiveness of a range of strategies for promoting engagement. Finally, there is an urgent need to develop innovative widely accessible interventions for individuals who experience clinically relevant eating disorder symptomatology but may not be ready or able to seek professional face-to-face treatment.

TRIAL REGISTRATION

ACTRN12615001250527, Registered 16 November 2015, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12615001250527.

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.

Investigación española en las áreas de adicciones y de trastornos de la alimentación: análisis de la producción, colaboración e impacto científico (1962-2017)

Las adicciones y los trastornos de la alimentación constituyen uno de los principales problemas de salud en la sociedad contemporánea al que se destinan gran cantidad de recursos destinados a la investigación para su prevención y tratamiento. Objetivos. Analizar la investigación española en el área de adicciones y trastornos de la alimentación desde que se publicó el primer trabajo recogido en bases de datos bibliográficas y desde una perspectiva bibliométrica. Metodología. Para obtener la información necesaria se consultaron las bases de datos Web of Science, Scopus y bases de datos del CSIC. Se elaboró un perfil de búsqueda específico. Se obtuvieron indicadores bibliométricos de producción, colaboración e impacto científico. Se utilizó el análisis de redes sociales para identificar las redes de investigadores y sus relaciones de colaboración, así como la red de co-palabras clave. Resultados. La producción científica aumentó progresivamente durante los casi 50 años analizados. Los trabajos se publicaron en una gran variedad de revistas nacionales y extranjeras, entre las que destacaron Adicciones, Revista Española de Drogodependencias, Trastornos Adictivos y Salud y Drogas. Conclusiones. La producción, colaboración e impacto de la investigación ha sido creciente y las adicciones más estudiadas fueron el tabaquismo, alcoholismo, consumo de cocaína y consumo de anfetaminas.

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.

Adherence as a predictor of dropout in Internet-based guided self-help for adults with binge-eating disorder and overweight or obesity

OBJECTIVE

Internet-based guided self-help (GSH-I) is an efficacious treatment for adults with binge-eating disorder (BED) and overweight or obesity. Although broadly accessible, high dropout from GSH-I has been reported. However, little is known about the factors explaining dropout from GSH-I, including patients' adherence to treatment.

METHOD

Within a randomized trial on the treatment of BED, adherence to 4-month GSH-I was objectively assessed in N = 89 patients with BED and overweight or obesity. Objective adherence and subjective treatment evaluation were evaluated as predictors of dropout from GSH-I, defined as having accessed 5 or less of 11 modules. Cutoffs with optimal sensitivity and specificity were derived using Receiver Operating Characteristics curves analysis, and baseline sociodemographic and clinical correlates were determined.

RESULTS

According to our definition, n = 22 (24.7%) patients were defined as dropouts. Results of the full logistic regression model accounted for 72% of the variance in dropout and all objective adherence parameters (i.e., number of messages exchanged, days with a completed food diary, and days spent per module), but not patients' subjective GSH-I evaluation significantly predicted dropout. Specifically, not completing the food diary in week 7 had maximized sensitivity and specificity in predicting dropout. Patients' body mass index was positively associated with the number of messages exchanged between patients and coaches. No other associations between baseline variables and objective adherence were found.

DISCUSSION

Patients at risk for dropout from GSH-I can be reliably identified via monitoring of objective adherence and may be provided with additional interventions to prevent dropout.

A systems thinking perspective on the barriers to treatment access for people with eating disorders

Treatment access remains low for people with eating disorders. In addressing the complexity inherent in this challenge, this article introduces systems thinking and argues that it could provide new insights. Systems thinking views behavior as an emergent property of a system and considers the relationships between technical, organizational, and social components. Several methods used in safety science incorporate this thinking. For example, AcciMap draws focus to the influence of decisions and actions made across hierarchical levels of a system, including those by government, regulatory bodies, management, services, and individuals. By examining the findings of the existing literature on barriers to eating disorder treatment access according to these levels, it is evident that most identified barriers relate to individuals and that further research is needed to consider the influence of high-level stakeholders. Research using systems thinking should consider the causal networks of influence from government, regulatory, and organizational decisions and actions through to outcomes for clinicians and individuals. The understanding of how barriers operate within specific healthcare systems also warrants investigation. Systems thinking is yet to be formally applied in the area of eating disorders and thus represents an opportunity to inform the development and implementation of more effective, system wide interventions.

[The Importance of Social Exchange for Internet-based Eating Disorder Prevention]

The Importance of Social Exchange for Internet-based Eating Disorder Prevention Internet-based interventions have the potential to complement routine care mental health services. Yet, dissemination and implementation into routine care is challenging and often fails. From a public health point of view, facilitating access to care and dissemination of prevention have great potential to reduce eating disorder related suffering in the general population. In order to exploit that potential effective strategies to involve users in internet-based prevention are of utmost importance. User-behaviors of N = 980 predominantly female (80 %) participants with an average age of 19.4 years (SD = 7.0) of an internet-based intervention for the prevention of eating disorders (ProYouth) were analyzed. Specifically, differences in users' pathways between early and late phases of participation were compared in order to identify patterns of program utilization that are associated with elevated adherence. During their first login, users explore all modules of the platform. Enduring participation is characterized by increased usage of the modules that offer social exchange with other participants, i. e. the forums and the chat. Static modules, e. g., psychoeducation, are rarely accessed after the first login. Additionally, enduring users were more often female, older, and displayed higher levels of psychological impairment (ps < .001). The results support the relevance of social exchange for the adherence in internet-based interventions for the prevention of eating disorders.

Optimizing eating disorder treatment outcomes for individuals identified via screening: An idea worth researching

In recent years, online screens have been commonly used to identify individuals who may have eating disorders (EDs), many of whom may be interested in treatment. We describe a new empirical approach that takes advantage of current evidence on empirically supported, effective treatments, while at the same time, uses modern statistical frameworks and experimental designs, data-driven science, and user-centered design methods to study ways to expand the reach of programs, enhance our understanding of what works for whom, and improve outcomes, overall and in subpopulations. The research would focus on individuals with EDs identified through screening and would use continuously monitored data, and interactions of interventions/approaches to optimize reach, uptake, engagement, and outcome. Outcome would be assessed at the population, rather than individual level. The idea worth researching is to determine if an optimization outcome model produces significantly higher rates of clinical improvement at a population level than do current approaches, in which traditional interventions are only offered to the few people who are interested in and able to access them.

Experiences of computer-based and conventional self-help interventions for eating disorders: A systematic review and meta-synthesis of qualitative research

OBJECTIVE

Self-help interventions have been demonstrated to be effective in treating bulimic-type eating disorders (EDs). In particular, computer-based interventions have received increasing attention due to their potential to reach a wider population. This systematic review aimed to synthesize findings from qualitative studies on users' experiences of self-help interventions for EDs and to develop an exploratory framework.

METHOD

A systematic review and meta-synthesis on seven peer-reviewed qualitative studies on structured computer and book-based self-help interventions for EDs was conducted using Noblit and Hare's (1988) 7-phase meta-ethnography. Four of the selected studies investigated computer-based self-help programs, and three of the studies investigated book-based guided self-help programs.

RESULTS

Six concepts were synthesized. They included intervention-related factors (anonymity and privacy; accessibility and flexibility; guidance) and user-related factors (agency/autonomy; self-motivation; and expectations/attitudes). The study revealed the "machine-like" and relational properties of the computer; the expansion of treatment time and space in psychological interventions, the changing role of the medical health professional from a "therapist" to a "guide," and a change from understanding interventions as a conclusive treatment plan to a starting point or stepping stone toward recovery.

DISCUSSION

Computer-based self-help interventions should take advantage of the "machine-like" properties of a computer (neutrality, availability, etc.) as well as its ability to facilitate human interactions. Users should also be facilitated to have a realistic understanding of the purpose of self-help interventions and the place of self-help interventions in their broader treatment plans to moderate expectations and attitudes.

User-centered design for technology-enabled services for eating disorders

OBJECTIVE

Technology-enabled services frequently have limited reach and suboptimal engagement when implemented in real-world settings. One reason for these implementation failures is that technology-enabled services are not designed for the users and contexts in which they will be implemented. User-centered design is an approach to designing technologies and services that is grounded in information from the stakeholders who will be using or impacted by them, and the contexts for implementation. The purpose of this article is to present user-centered design methods that can be applied to technology-enabled services for eating disorders.

METHOD

We provide an overview of the user-centered design process, which is iterative and involves stakeholders throughout. One model is presented that depicts six phases of a user-centered design process: investigate, ideate, prototype, evaluate, refine and develop, and validate.

RESULTS

We then review how user-centered design approaches can be applied to designing technology-enabled services for patients with eating disorders, and we integrate a hypothetical case example that demonstrates the application of these techniques to designing a technology-enabled service for binge eating. Most of the user-centered design techniques can be implemented relatively quickly, allowing us to rapidly learn what stakeholders want and to identify problems before devoting time and resources to developing and delivering technologies and services.

DISCUSSION

Through this work, we show how designing services that fit into the patterns and routines that stakeholders already are doing can ensure that services are relevant to stakeholders and meet their needs, potentially improving engagement and clinical impact.

RESUMEN

Los servicios habilitados tecnológicamente frecuentemente tienen un alcance limitado y un involucramiento subóptimo cuando son implementados en escenarios del mundo real. Una razón para estas fallas de implementación es que los servicios habilitados tecnológicamente no están diseñados para los usuarios y contextos en los que serán implementados. El diseño centrado en el usuario es un abordaje para diseñar tecnologías y servicios que está basado en información de las partes interesadas que estarán haciendo uso o impactados por ellos, y los contextos para implementación. El propósito de este estudio es presentar métodos de diseños centrados en el usuario que pueden ser aplicados a servicios habilitados tecnológicamente para trastornos de la conducta alimentaria. Ofrecemos una visión general del proceso de diseño centrado en el usuario, que es iterative e involucra a las partes interesadas a lo largo de todo el proceso. Hemos presentado un modelo que describe seis fases de un proceso de diseño centrado en el usuario: investigar, idear, crear prototipos, evaluar, refinar y desarrollar, y validar. Luego revisamos cómo estos abordajes de diseño centrado en el usuario pueden ser aplicados para diseñar servicios habilitados tecnológicamente para pacientes con trastornos de la conducta alimentaria, e integramos un ejemplo de caso hipotético que demuestra la aplicación de estas técnicas para diseñar un servicio habilitado tecnológicamente para comer en atracones. Muchas de las técnicas de diseño centrado en el usuario pueden ser implementadas relativamente rápido, lo que nos permite aprender rápidamente lo que las partes interesadas quieren e identificar los problemas antes de dedicarles tiempo y recursos al desarrollo y entrega de tecnologías y servicios. A través de este trabajo, mostramos cómo el diseño de servicios que se ajustan a los patrones y rutinas que las partes interesadas ya están haciendo puede garantizar que los servicios sean relevantes para los interesados y que satisfagan sus necesidades, lo que podría mejorar la participación y el impacto clínico.

A randomized controlled trial of an Internet-based intervention for eating disorders and the added value of expert-patient support: study protocol

Background

E-mental health has become increasingly popular in interventions for individuals with eating disorders (EDs). It has the potential to offer low-threshold interventions and guide individuals to the needed care more promptly. Featback is such an Internet-based intervention and consists of psychoeducation and a fully automated monitoring and feedback system. Preliminary findings suggest Featback to be (cost-)effective in reducing ED symptomatology. Additionally, e-mail or chat support by a psychologist did not enhance the effectiveness of Featback. Support by an expert patient (someone with a lived experience of an ED) might be more effective, since that person can effectively model healthy behavior and enhance self-efficacy in individuals struggling with an ED. The present study aims to replicate and build on earlier findings by further investigating the (cost-)effectiveness of Featback and the added value of expert-patient support.

Methods

The study will be a randomized controlled trial with a two-by-two factorial design with repeated measures. The four conditions will be (1) Featback, in which participants receive automated feedback on a short monitoring questionnaire weekly, (2) Featback with weekly e-mail or chat support from an expert patient, (3) weekly support from an expert patient, and (4) a waiting list. Participants who are 16 years or older and have at least mild self-reported ED symptoms receive a baseline measure. Subsequently, they are randomized to one of the four conditions for 8 weeks. Participants will be assessed again post-intervention and at 3, 6, 9, and 12 months follow-up. The primary outcome measure will be ED psychopathology. Secondary outcome measures are experienced social support, self-efficacy, symptoms of anxiety and depression, user satisfaction, intervention usage, and help-seeking attitudes and behaviors.

Discussion

The current study is the first to investigate e-mental health in combination with expert-patient support for EDs and will add to the optimization of the delivery of Internet-based interventions and expert-patient support.

Trial registration

Netherlands Trial Register, NTR7065. Registered on 7 June 2018.

Electronic supplementary material

The online version of this article (10.1186/s13063-019-3574-2) contains supplementary material, which is available to authorized users.

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

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

Efficacy and cost-effectiveness of Internet-based selective eating disorder prevention: study protocol for a randomized controlled trial within the ProHEAD Consortium

BACKGROUND

The development of efficacious, cost-effective, and widely accessible programs for the prevention of eating disorders (EDs) is crucial in order to reduce the ED-related burden of illness. Programs using dissonance-based and cognitive behavioral approaches are most effective for the selective prevention of ED. Internet-based delivery is assumed to maximize the reach and impact of preventive efforts. However, the current evidence for Internet-based ED prevention is limited. The present trial evaluates the efficacy and cost-effectiveness of two new interventions (based on dissonance theory and principles of cognitive behavioral therapy (CBT)) that are implemented as add-ons to the existing Internet-based ED prevention program ProYouth.

METHODS

The trial is one of five sub-projects of the German multicenter consortium ProHEAD. It is a three-arm, parallel, randomized controlled superiority trial. Participants will be randomized to (1) the online program ProYouth (active control condition) or (2) ProYouth plus a structured dissonance-based module or (3) ProYouth plus a CBT-based chat group intervention. As part of ProHEAD, a representative school-based sample of N = 15,000 students (≥ 12 years) will be screened for mental health problems. N = 309 participants at risk for ED (assessed with the Weight Concerns Scale (WCS) and the Short Evaluation of Eating Disorders (SEED)) will be included in the present trial. Online assessments will be conducted at baseline, at end of intervention (6 weeks), at 6 months follow-up, and - as part of ProHEAD - at 12 and 24 months follow-up. The primary outcome is ED-related impairment (assessed with the Child version of the Eating Disorder Examination-Questionnaire (ChEDE-Q)) at the end of the intervention. Secondary outcomes include ED-related symptomatology at follow-up, ED-related stigma, ED-related help-seeking, and acceptance of and compliance with the interventions. For the health economic evaluation data on costs of the interventions, healthcare utilization and health-related quality of life will be assessed.

DISCUSSION

This is the first study augmenting a flexible prevention approach such as ProYouth with structured evidence-based modules in order to overcome some of the key limitations in the current practice of ED prevention.

TRIAL REGISTRATION

German Clinical Trials Register (DRKS), DRKS00014679 . Registered on 25 April 2018.

An Overview of Conceptualizations of Eating Disorder Recovery, Recent Findings, and Future Directions

PURPOSE OF REVIEW

This review delineates issues in the conceptualization and operationalization of eating disorder recovery, highlights recent findings about recovery (since 2016), and proposes future directions.

RECENT FINDINGS

A longstanding problem in the field is that there are almost as many different definitions of recovery in eating disorders as there are studies on the topic. Yet, there has been a general shift to accepting that psychological/cognitive symptoms are important to recovery in addition to physical and behavioral indices. Further, several operationalizations of recovery have been proposed over the past two decades, and some efforts to validate operationalizations exist. However, this work has had limited impact and uptake, such that the field is suffering from "broken record syndrome," where calls are made for universal definitions time and time again. It is critical that proposed operationalizations be compared empirically to help arrive at a consensus definition and that institutional/organizational support help facilitate this. Themes in recent recovery research include identifying predictors, examining biological/neuropsychological factors, and considering severe and enduring anorexia nervosa. From qualitative research, those who have experienced eating disorders highlight recovery as a journey, as well as factors such as hope, self-acceptance, and benefiting from support from others as integral to the process of recovery. The field urgently needs to implement a universal definition of recovery that is backed by evidence, that can parsimoniously be implemented in clinical practice, and that will lead to greater harmonization of scientific findings.