A pilot study evaluating online training for therapist delivery of interpersonal psychotherapy for eating disorders.

OBJECTIVE: Individuals with eating disorders (EDs) often do not receive evidence-based care, such as interpersonal psychotherapy (IPT), partly due to lack of accessible training in these treatments. The standard method of training (i.e., in-person workshops) is expensive and time consuming, prompting a need for more scalable training tools. The primary aim of this pilot and open trial was to examine the effects of an IPT online training platform on training outcomes (i.e., IPT fidelity, knowledge, and acceptance) and, secondarily, whether online training was different from in-person training (using a comparative sample from a separate study) in terms of training outcomes and patient symptoms. METHOD: Participants were therapists (N = 60) and student patients (N = 42) at 38 college counseling centers. Therapists completed baseline questionnaires and collected data from a student patient with ED symptoms. Therapists then participated in an IPT online training program and completed post-training assessments. RESULTS: Following online training, acceptance of evidence-based treatments, therapist knowledge of IPT, therapist acceptance of IPT, and treatment fidelity increased; acceptance of online training was high at baseline and remained stable after training. Using the 90% confidence interval on outcome effect sizes, results suggested IPT online training was not different from in-person training on most outcomes. Results are based on 60% of therapists who originally enrolled due to high dropout rate of therapist participants. CONCLUSIONS: Findings from this preliminary pilot study support the use of IPT online training, which could increase access to evidence-based ED treatment and improve patient care. PUBLIC SIGNIFICANCE: Lack of accessible therapist training has contributed to many therapists not delivering, and therefore many patients not receiving, evidence-based treatment. This study evaluated a highly disseminable online training and compared outcomes to traditional in-person training and found that training and patient outcomes were not different. Online training has the potential to enhance access to evidence-base care, which could in turn optimize patient outcomes.

Timing matters in (mis)identifying moderators and mediators of digital interventions for eating disorders: Commentary on McClure et al. (2023).

This commentary addresses the challenges in identifying consistent moderators and mediators of psychological treatments for eating disorders (EDs), as highlighted by McClure et al. (International Journal of Eating Disorders, 2023) in their systematic review. Specifically, we discuss the often-overlooked importance of temporal context (when an intervention is delivered), alongside sociodemographic and symptom type (for whom an intervention is delivered), in understanding and optimizing treatment engagement and effectiveness. We outline how individuals' fluctuating levels of motivation and receptivity across different "pivotal moments" in the help-seeking process-including initial outreach and self-screening, ongoing care engagement, and post-discharge-can dynamically impact interventions' relevance and impacts. We also overview how Just-In-Time Adaptive Interventions in digital mental health interventions can be harnessed to simultaneously consider "when" and "for whom" ED interventions can exert the greatest benefits. We conclude with several recommendations for conducting ED intervention and implementation research that integrate timing into support delivery and study design, enabling a deeper understanding of not just how and for whom, but when, ED interventions can be most effective.

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.

From formative design to service-ready therapeutic: A pragmatic approach to designing digital mental health interventions across domains.

As digital mental health interventions (DMHIs) proliferate, there is a growing need to understand the complexities of moving these tools from concept and design to service-ready products. We highlight five case studies from a center that specializes in the design and evaluation of digital mental health interventions to illustrate pragmatic approaches to the development of digital mental health interventions, and to make transparent some of the key decision points researchers encounter along the design-to-product pipeline. Case studies cover different key points in the design process and focus on partnership building, understanding the problem or opportunity, prototyping the product or service, and testing the product or service. We illustrate lessons learned and offer a series of questions researchers can use to navigate key decision points in the digital mental health intervention (DMHI) development process.

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.

Positive affect dysregulation and its relation to binge eating size and frequency.

Negative affect is an established predictor of binge eating, yet less is known about positive affect. Low positive affect has been theorized to increase binge eating, but a better understanding is needed on the relationship between positive affect and binge eating frequency and size. Participants were 182 treatment-seeking adults (76% self-identified as female; 45% self-identified their race as Black and 40% as White; and 25% self-identified their ethnicity as Hispanic/Latino) with self-reported recurrent binge eating (≥12 binge episodes in the past 3 months). Participants completed the positive and negative affect schedule (PANAS) survey and the eating disorder examination to assess frequency of objective binge episodes (OBEs) and subjective binge episodes (SBEs) over the past 3 months. OBEs and SBEs also were combined to yield total binge episodes over the past 3 months. Independent t-tests and linear regression analyses were used to test associations between positive affect scores and binge episode size and frequencies, and to compare low versus higher positive affect on binge frequency. Additional exploratory models were conducted controlling for negative affect, identity characteristics, and socio-demographic variables. Lower positive affect was significantly associated with more frequent total binge episodes, but not OBEs and SBEs when assessed independently. Findings remained consistent when controlling for covariates and when comparing individuals with the lowest versus higher positive affect levels. Overall, results lend support to the theory that low positive affect is associated with binge eating. Increasing positive affect may be an important treatment consideration for those with recurrent binge eating.

A budget impact analysis of cost to implement a whole child health focused, family-based intervention in primary care for children with elevated BMI.

BACKGROUND: Although the cost of implementing evidence-based interventions (EBIs) is a key determinant of adoption, lack of cost information is widespread. We previously evaluated the cost of preparing to implement Family Check-Up 4 Health (FCU4Health), an individually tailored, evidence-based parenting program that takes a whole child approach, with effects on both behavioral health and health behavior outcomes, in primary care settings. This study estimates the cost of implementation, including preparation. METHODS: We assessed the cost of FCU4Health across the preparation and implementation phases spanning 32 months and 1 week (October 1, 2016-June 13, 2019) in a type 2 hybrid effectiveness-implementation study. This family-level randomized controlled trial took place in Arizona with n = 113 predominantly low-income, Latino families with children ages > 5.5 to < 13 years. Using electronic cost capture and time-based activity-driven methods, budget impact analysis from the perspective of a future FCU4Health adopting entity-namely, ambulatory pediatric care clinicians-was used to estimate the cost of implementation. Labor costs were based on 2021 Bureau of Labor Statistics Occupational Employment Statistics, NIH-directed salary cap levels or known salaries, plus fringe benefits at a standard rate of 30%. Non-labor costs were based on actual amounts spent from receipts and invoices. RESULTS: The cost of FCU4Health implementation to 113 families was $268,886 ($2380 per family). Actual per family cost varied widely, as individual tailoring resulted in families receiving a range of 1-15 sessions. The estimated cost of replicating implementation for future sites ranged from $37,636-$72,372 ($333-$641 per family). Using our previously reported preparation costs (i.e., $174,489; $1544 per family), with estimated replication costs of $18,524-$21,836 ($164-$193 per family), the total cost of delivering FCU4Health was $443,375 ($3924 per family), with total estimated replication costs of $56,160-$94,208 ($497-$834 per family). CONCLUSIONS: This study provides a baseline for costs associated with implementation of an individually tailored parenting program. Results provide critical information for decision makers and a model for future economic analysis and can be used to inform optimization thresholds for implementation and, when necessary, benchmarks for program adaptation to promote scale-up. TRIAL REGISTRATION: This trial was prospectively registered on January 6, 2017, at ClinicalTrials.gov (NCT03013309).

The relation of food insecurity to eating disorder characteristics and treatment-seeking among adult respondents to the National Eating Disorders Association online screen.

BACKGROUND: Food insecurity (FI), characterized by limited or uncertain access to adequate food, has been associated with eating disorders (EDs). This study explored whether FI was associated with ED behaviors, ED diagnosis, current treatment status, and treatment-seeking intentions among adults who completed an online ED screen. METHODS: Respondents to the National Eating Disorders Association online screening tool self-reported demographics, FI, height and weight, past 3-month ED behaviors, and current treatment status. Respondents were also asked an optional question about treatment-seeking intentions. Hierarchical regressions evaluated relations between FI and ED behaviors, treatment status, and treatment-seeking intentions. Logistic regressions explored differences in probable ED diagnosis by FI status. RESULTS: Of 8714 respondents, 25 % screened at risk for FI. FI was associated with greater binge eating (R2Change = 0.006), laxative use (R2Change = 0.001), and presence of dietary restriction (R2Change = 0.001, OR: 1.32) (ps < .05). Having FI was associated with greater odds of screening positive for a probable ED or as high risk for an ED (ps < .05). FI was not associated with current treatment status or treatment-seeking intentions (ps > .05). CONCLUSIONS: Findings add to existing literature supporting a relation between FI and EDs. Implications include a need to disseminate EDs screening and treatment resources to populations affected by FI and to tailor treatments to account for barriers caused by FI.

Designing Digital Interventions for Eating Disorders.

PURPOSE OF REVIEW: Digital (i.e., online, mobile) interventions have potential to increase access to care for people with eating disorders, but engagement with digital interventions has been challenging. Human-centered design is a methodology that centralizes the design of technologies on the people who will be using them and the settings in which they will be implemented, to yield solutions with high engagement and clinical impact. The paper presents an overview of the human-centered design process, followed by a review of publications that have applied design methods to digital interventions for eating disorders. RECENT FINDINGS: Design research has been conducted via needs assessments, prototyping and usability studies, and during ongoing delivery of digital eating disorder interventions. There has been growing research applying design methods to digital interventions for eating disorders. Additional opportunities include designing for implementation, designing for equity, and designing for the optimization of digital interventions over time.

Weight Loss Expectations of Adults With Binge Eating: Cross-sectional Study With a Human-Centered Design Approach.

BACKGROUND: People tend to overestimate their expectations for weight loss relative to what is achievable in a typical evidence-based behavioral weight management program, which can impact treatment satisfaction and outcomes. We are engaged in formative research to design a digital intervention that addresses binge eating and weight management; thus, understanding expectations among this group can inform more engaging intervention designs to produce a digital intervention that can achieve greater clinical success. Studies examining weight loss expectations have primarily focused on people who have overweight or obesity. Only one study has investigated weight loss expectations among people with binge eating disorder, a population that frequently experiences elevated weight and shape concerns and often presents to treatment with the goal of losing weight. OBJECTIVE: The aim of the study is to investigate differences in weight loss expectations among people with varying levels of binge eating to inform the design of a digital intervention for binge eating and weight management. Such an evaluation may be crucial for people presenting for a digital intervention, given that engagement and dropout are notable problems for digital behavior change interventions. We tested the hypotheses that (1) people who endorsed some or recurrent binge eating would expect to lose more weight than those who did not endorse binge eating and (2) people who endorsed a more severe versus a low or moderate overvaluation of weight and shape would have higher weight loss expectations. METHODS: A total of 760 adults (n=504, 66% female; n=441, 58% non-Hispanic White) completed a web-based screening questionnaire. One-way ANOVAs were conducted to explore weight loss expectations for binge eating status as well as overvaluation of shape and weight. RESULTS: Weight loss expectations significantly differed by binge eating status. Those who endorsed some and recurrent binge eating expected to lose more weight than those who endorsed no binge eating. Participants with severe overvaluation of weight or shape expected to lose the most weight compared to those with low or moderate levels of overvaluation of weight and shape. CONCLUSIONS: In the sample, people interested in a study to inform a digital intervention for binge eating and weight management overestimated their expectations for weight loss. Given that weight loss expectations can impact treatment completion and success, it may be important to assess and modify weight loss expectations among people with binge eating prior to enrolling in a digital intervention. Future work should design and test features that can modify these expectations relative to individuals' intended treatment goals to facilitate engagement and successful outcomes in a digital intervention.

The role of stress in the association among food insecurity, eating disorder pathology, and binge eating-related appetitive traits.

PURPOSE: Growing literature demonstrates a positive association between food insecurity (FI) and eating disorder pathology. Additionally, FI has been associated with two appetitive traits strongly linked to binge eating, food responsiveness and emotional overeating. However, little research has investigated factors that might help to explain these associations. One hypothesis is that experiencing FI may increase stress, and that eating disorder pathology, particularly binge eating-related phenotypes, may serve as a coping strategy. This study explores stress as a potential mechanism in the association between FI and general eating disorder pathology, as well as two appetitive traits strongly associated with binge eating (food responsiveness and emotional overeating). METHODS: Cis-gender women (N = 634) completed online questionnaires assessing FI, stress, eating disorder pathology (measured via the total score on the Short Eating Disorder Examination Questionnaire), and binge eating-related appetitive traits (measured via the Adult Eating Behavior Questionnaire). Cross-sectional indirect effects analyses with a 1000-sample bootstrap were used to test pathways among FI, stress, and eating-related constructs. RESULTS: FI was significantly associated with eating disorder pathology and associated appetitive traits (ps < 0.001). Stress explained a significant proportion of the correlation between FI and each eating-related construct. CONCLUSIONS: Our findings extend prior research on the relationships between FI, eating disorder pathology, and binge eating-related appetitive traits to provide preliminary evidence that stress may act as an underlying mechanism. Future studies should use longitudinal designs to assess the prospective relationships among these constructs.

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).

Digital guided self-help for eating disorders: thematic analysis of participant text messages to coaches.

Digital guided self-help for eating disorders (GSH-ED) can reduce treatment disparities. Understanding program participants' interests throughout the program can help adapt programs to the service users' needs. Participants were 383 college students receiving a digital GSH-ED, who were each assigned a coach to help them better utilize the intervention through text correspondence. A thematic and affective analysis of the texts participants had sent found they primarily focused on: strategies for changing their ED-related cognitions, behaviors, and relationships; describing symptoms without expressing an active endeavor to change; and participants' relationship with their coach. Most texts also expressed affect, demonstrating emotional engagement with the intervention. Findings suggest that participants in GSH-ED demonstrate high involvement with the intervention, and discuss topics that are similar to those reported in clinician-facilitated interventions. The themes discussed by digital program participants can inform future iterations of GSH-ED, thereby increasing scalability and accessibility of digital evidence-based ED interventions.

Bridging HCI and Implementation Science for Innovation Adoption and Public Health Impact.

Human computer interaction (HCI) and implementation science (IS) each have been applied to improve the adoption and delivery of innovative health interventions, and the two fields have complementary goals, foci, and methods. While the IS community increasingly draws on methods from HCI, there are many unrealized opportunities for HCI to draw from IS and to catalyze bidirectional collaborations. This workshop will explore similarities and differences between fields, with a goal of articulating a research agenda at their intersection.

Eating to cope: Advancing our understanding of the effects of exposure to racial discrimination on maladaptive eating behaviors.

OBJECTIVE: Racial discrimination is a stressor for young Black women that leads to poor health outcomes, including maladaptive eating. This study presents findings on racial discrimination and maladaptive eating behaviors (overeating, LOC eating) using ecological momentary assessment (EMA). METHODS: Black emerging adult women (N = 27) with overweight or obesity participated in a 14-day EMA study examining exposure to racial discrimination, eating behaviors, and racial identity. Frequencies and chi-square tests were used to characterize the type of racial discrimination experienced and frequency of overeating. Mixed effect ordinal logistic regression models were used to assess the relation between racial discrimination and maladaptive eating. Moderation analysis was conducted by creating interaction terms for discrimination and racial identity variables. RESULTS: 81.5% of participants reported experiencing racial discrimination. Young Black women reporting exposure to racial discrimination were more likely to endorse higher levels of both overeating and LOC eating compared to times when discrimination was not experienced (p < .0001). Racial identity moderated the link between racial discrimination and maladaptive eating (overeating, LOC) such that reporting greater levels of private regard buffered the deleterious effect of racial discrimination. Higher levels of public regard exacerbated the association between racial discrimination and both overeating, and LOC. Higher centrality worsened the relation between racial discrimination and LOC. CONCLUSION: Young Black women might use maladaptive eating to cope with exposure to racial discrimination, which underscores the importance of examining the link between racism and disordered eating, particularly among Black women submerged in a society that continuously exposes them to racial discrimination. PUBLIC SIGNIFICANCE: Emerging adult Black women are exposed to racial discrimination daily. In theory, exposure to racial discrimination could contribute to overeating and loss of control eating in this population. Using ecological momentary assessment, to capture experiences and eating behaviors in the moment they occur, this project quantified the magnitude of racial discrimination and how it was associated with maladaptive eating behaviors. Further, it examined ways in which racial identity was linked to this association.

Accelerating the research-to-practice translation of eating disorder apps and other digital interventions: Commentary on O'Leary and Torous (2022).

Smartphone apps are increasingly being developed to address mental health problems, including eating disorders. Yet a review by O'Leary and Torous (2022) revealed the dearth of publicly available evidence-based apps for eating disorders, despite growing research in this area in recent years. The lack of publicly available evidence-based apps is problematic for society and reflects a gap in the research-to-practice translation of the advances that have been made through academic research in this area. We detail barriers that academic researchers face to such translation, including the lack of incentives and pathways for making these interventions available beyond the academic institutions in which they are often created. The effective translation of eating disorder apps, and other digital approaches, from research to practice will require new approaches, including bolstering successful and sustainable translation through partnerships across sectors, being more proactive toward research-to-practice translation, and designing more sustainable digital interventions. Harnessing such approaches can improve the availability of evidence-based eating disorder apps and other digital approaches. Additionally, academic researchers are encouraged to be advocates within their institutions and with funding agencies to find ways to better incentivize and fund these efforts.

Predictors of treatment seeking and uptake among respondents to a widely disseminated online eating disorders screen in the United States.

OBJECTIVE: To explore predictors of treatment seeking and uptake among individuals following an online eating disorders (EDs) screen in the U.S. disseminated by the National Eating Disorders Association. METHOD: Respondents who screened at risk or positive for a probable ED from 04/2019 to 05/2021 (N = 263,530) were eligible to complete a 2-month follow-up survey that assessed treatment seeking and uptake after being offered referral options following screening. Analyses were conducted using chi-square tests or logistic regressions. RESULTS: Sixty thousand thirty-four respondents (22.8%) opted-in to the follow-up survey, of whom 2276 (3.8%) completed it. Of the final analytic sample (n = 1922), 35.7% of respondents reported seeking and 22.4% reported receiving treatment. Treatment seeking and uptake were more common among respondents who were female, White, or >24 years of age; uptake was more common among respondents who were non-Hispanic or higher income. Elevated shape/weight concerns were significantly, albeit modestly, associated with reduced likelihood to receive treatment. DISCUSSION: Demographic differences in treatment seeking and uptake highlight the need to optimize ED screening tools/feedback to meet the needs of underserved groups and to address stereotypes and structural barriers that may interfere. Research is also needed to identify barriers to uptake among those with elevated shape/weight concerns. PUBLIC SIGNIFICANCE: Relatively low rates of treatment seeking and uptake were observed, particularly among underserved groups, 2 months following a widely disseminated online eating disorders screen. Optimization of online eating disorder screening tools and delivery of feedback and referral information may be needed to increase health care utilization.

Understanding self-monitoring to inform a mobile intervention for binge eating and weight management: A proof-of-concept randomized trial.

OBJECTIVE: This study explored consumers' perspectives on self-monitoring, a common feature in behavioral interventions that helps inform consumers' progress and answer their questions, to learn what outcome metrics matter to consumers and whether self-selection of these metrics leads to greater engagement (i.e., compliance, satisfaction) in self-monitoring than monitoring only default options. METHODS: In a proof-of-concept randomized trial, 48 adult participants were randomly assigned to "clinician-determined monitoring" or "clinician + self-determined monitoring" conditions. Before starting monitoring, all participants shared outcomes that would matter to them in a mobile intervention for binge eating and weight management. Then, for 3 weeks, participants in the "clinician-determined" condition monitored their weight and binge-eating episodes, and participants in the "clinician + self-determined" condition monitored these and another metric of their choosing. After, satisfaction and compliance were assessed. RESULTS: Participants identified 116 metrics, grouped into 12 themes, that mattered to them. During monitoring, participants in the "clinician + self-determined" condition monitored 41 metrics. Surprisingly, participants in the "clinician-determined" condition also monitored metrics besides weight and binge eating. This resulted in a failure of our experimental manipulation, which represents a significant limitation of this research. No significant differences emerged in satisfaction or compliance between conditions. DISCUSSION: Although our proof-of-concept trial yielded null quantitative results, findings also suggested binge eating and weight management interventions may benefit from including an individually customizable monitoring option in addition to default metrics, warranting testing in future research. PUBLIC SIGNIFICANCE: Examining consumers' self-monitoring preferences for a mobile intervention for binge eating and weight management revealed a variety of metrics that matter to consumers, although binge eating and weight were still most valued. Findings from our proof-of-concept trial suggest design implications of encouraging an individually customizable monitoring option, in addition to default metrics, which needs to be tested in future research over a longer period and during actual mobile intervention delivery.