Sociodemographic and clinical characteristics of treated and untreated adults with bulimia nervosa or binge-eating disorder recruited for a large-scale research study.

BACKGROUND: Eating disorders affect millions of people worldwide, but most never receive treatment. The majority of clinical research on eating disorders has focused on individuals recruited from treatment settings, which may not represent the broader population of people with eating disorders. This study aimed to identify potential differences in the characteristics of individuals with eating disorders based on whether they self-reported accessing treatment or not, in order to contribute to a better understanding of their diverse needs and experiences. METHODS: The study population included 762 community-recruited individuals (85% female, M ± SD age = 30 ± 7 years) with bulimia nervosa or binge-eating disorder (BN/BED) enrolled in the Binge Eating Genetics Initiative (BEGIN) United States study arm. Participants completed self-report surveys on demographics, treatment history, past and current eating disorder symptoms, weight history, and their current mental health and gastrointestinal symptoms. Untreated participants (n = 291, 38%) were compared with treated participants (n = 471, 62%) who self-reported accessing BN/BED treatment at some point in their lives. RESULTS: Untreated participants disproportionately self-identified as male and as a racial or ethnic minority compared with treated participants. Treated participants reported a more severe illness history, specifically, an earlier age at onset, more longstanding and frequent eating disorder symptoms over their lifetime, and greater body dissatisfaction and comorbid mental health symptoms (i.e., depression, anxiety, ADHD) at the time of the study. A history of anorexia nervosa was positively associated with treatment engagement. Individuals self-reporting a history of inpatient or residential treatment exhibited the most severe illness history, those with outpatient treatment had a less severe illness history, and untreated individuals had the mildest illness history. CONCLUSIONS: Historically overlooked and marginalized populations self-reported lower treatment access rates, while those who accessed treatment reported more severe eating disorder and comorbid mental health symptoms, which may have motivated them to seek treatment. Clinic-based recruitment samples may not represent individuals with milder symptoms or racial and ethnic diversity, and males. Community-based recruitment is crucial for improving the ability to apply research findings to broader populations and reducing disparities in medical research. Trial Registration ClinicalTrials.gov NCT04162574 ( https://clinicaltrials.gov/ct2/show/NCT04162574 ).

The majority of individuals with eating disorders never enter treatment. However, most clinical research on eating disorders recruits participants from clinics and treatment centers. Therefore, most of our knowledge about eating disorders may not represent the majority of people with eating disorders, particularly those who do not enter treatment. We studied 762 people with bulimia nervosa or binge-eating disorder recruited from the community to a large research study. We compared participants who reported never accessing treatment (38%) to participants who reported having accessed treatment at some point in their lives (62%). Untreated participants were much more likely to identify as male and as a racial or ethnic minority compared with participants who had accessed treatment (who identified mostly as female and White). Participants who had accessed treatment had a more severe illness history and higher levels of body dissatisfaction and mental health symptoms at the time of the study. The present study highlights the importance of recruiting research participants from the community to clinical studies as a way to address medical inequity in marginalized and underrepresented groups. Additionally, caution is advised when generalizing research findings from research samples who have sought treatment to all people with eating disorders.

Sociodemographic and Clinical Characteristics of Treated and Untreated Adults with Bulimia Nervosa and/or Binge-eating Disorder Recruited for a Large-Scale Research Study.

Background: Eating disorders affect millions of people worldwide, but most never receive treatment. The majority of clinical research on eating disorders has focused on individuals recruited from treatment settings, which may not represent the broader population of people with eating disorders. This study compared the characteristics of individuals with eating disorders based on whether they self-reported accessing treatment or not, to identify potential differences and contribute to a better understanding of the diverse needs and experiences of individuals with eating disorders. Methods: The study population included 762 community-recruited individuals (85% female, M ± SD age = 30 ± 7 y) with bulimia nervosa and/or binge eating disorder (BN/BED) enrolled in the Binge-Eating Genetics Initiative (BEGIN) United States study arm. Participants completed self-report surveys on demographics, treatment history, past and current eating disorder symptoms, weight history, and current mental health and gastrointestinal comorbidity. Untreated participants ( n = 291, 38%) were compared with treated participants ( n = 471, 62%) who self-reported accessing BN/BED treatment at some point in their lives. Results: Untreated participants disproportionately self-identified as male and as a racial or ethnic minority compared with treated participants. Treated participants reported a more severe illness history, specifically, an earlier age at onset, more longstanding and frequent ED symptoms over their lifetime, and higher body dissatisfaction and comorbid mental health symptoms (i.e., depression, anxiety, ADHD) at the time of the study. Those who reported a history of inpatient or residential treatment displayed the most severe illness history, whereas those who reported outpatient treatment had a less severe illness history, and untreated individuals had the mildest illness history. Conclusions: Individuals from historically overlooked or marginalized populations were less likely to access treatment. Those who accessed treatment had more severe ED and comorbid symptoms, which may have motivated them to seek treatment. Clinic-based recruitment samples may not accurately represent all individuals with EDs, particularly those with milder symptoms and those with gender or racial/ethnic diversity. The results of this study indicate that community-based recruitment is crucial for improving the ability to apply research findings to broader populations and to reduce disparities in medical research. Trial Registration : ClinicalTrials.gov NCT04162574 (https://clinicaltrials.gov/ct2/show/NCT04162574).

Binge-eating disorder with and without lifetime anorexia nervosa: A comparison of sociodemographic and clinical features.

OBJECTIVE: To compare individuals who have experienced binge-eating disorder (BED) and anorexia nervosa (AN) (BED AN+) to those who have experienced BED and not AN (BED AN-). METHOD: Participants (N = 898) met criteria for lifetime BED and reported current binge eating. Approximately 14% had a lifetime diagnosis of AN. Analyses compared BED AN+ and BED AN- on sociodemographic variables and clinical history. RESULTS: The presence of lifetime AN was associated with more severe eating disorder symptoms, including earlier onset, more frequent, more chronic, and more types of eating disorder behaviors over the lifetime, as well as a higher lifetime prevalence of bulimia nervosa (BN). Participants with lifetime AN reported being more likely to have received treatments for BED or BN, had significantly lower minimum, current, and maximum BMIs, had more severe general anxiety, and were significantly more likely to be younger and female. In the full sample, the lifetime prevalence of unhealthy weight control behaviors was high and treatment utilization was low, despite an average 15-year history since symptom onset. Gastrointestinal disorders and comorbid anxiety, depression, and attention-deficit/hyperactivity disorder symptoms were prevalent. DISCUSSION: Individuals fared poorly on a wide array of domains, yet those with lifetime AN fared considerably more poorly. All patients with BED should be screened for mental health and gastrointestinal comorbidities and offered referral and treatment options. PUBLIC SIGNIFICANCE: Individuals experiencing binge-eating disorder have severe symptomology, but those who have experienced binge-eating disorder and anorexia nervosa fare even more poorly. Our study emphasizes that patients with binge-eating disorder would benefit from being screened for mental health and gastrointestinal comorbidities, and clinicians should consider history of unhealthy weight control behaviors to inform treatment and relapse prevention.

Generalized network psychometrics of eating-disorder psychopathology.

OBJECTIVE: As network models of eating disorder (ED) psychopathology become increasingly popular in modeling symptom interconnectedness and identifying potential treatment targets, it is necessary to contextualize their performance against other methods of modeling ED psychopathology and to evaluate potential ways to optimize and capitalize on their use. To accomplish these goals, we used generalized network psychometrics to estimate and compare latent variable models and network models, as well as hybrid models. METHOD: We tested the structure of the Eating Pathology Symptoms Inventory (EPSI) and Eating Disorder Examination-Questionnaire (EDE-Q) in Recovery Record, Inc. mobile phone application users (N = 6856). RESULTS: Although all models fit well, results favored a hybrid latent variable and network framework, which showed that ED symptoms fit best when modeled as higher-order constructs, rather than direct symptom-to-symptom connections, and when the relationships between those constructs are described as a network. Hybrid models in which latent factors were modeled as nodes within a network showed that EPSI Purging, Binge Eating, Cognitive Restraint, Body Dissatisfaction, and Excessive Exercise had high importance in the network. EDE-Q Eating Concern and Shape Concern were also important nodes. Results showed that the EPSI network was highly stable and replicable, whereas the EDE-Q network was not. DISCUSSION: Integrating latent variable and network model frameworks enables tests of centrality to identify important latent variables, such as purging, that may promote the spread of ED psychopathology throughout a network, allowing for the identification of future treatment targets.

Passive Sensor Data for Characterizing States of Increased Risk for Eating Disorder Behaviors in the Digital Phenotyping Arm of the Binge Eating Genetics Initiative: Protocol for an Observational Study.

BACKGROUND: Data that can be easily, efficiently, and safely collected via cell phones and other digital devices have great potential for clinical application. Here, we focus on how these data could be used to refine and augment intervention strategies for binge eating disorder (BED) and bulimia nervosa (BN), conditions that lack highly efficacious, enduring, and accessible treatments. These data are easy to collect digitally but are highly complex and present unique methodological challenges that invite innovative solutions. OBJECTIVE: We describe the digital phenotyping component of the Binge Eating Genetics Initiative, which uses personal digital device data to capture dynamic patterns of risk for binge and purge episodes. Characteristic data signatures will ultimately be used to develop personalized models of eating disorder pathologies and just-in-time interventions to reduce risk for related behaviors. Here, we focus on the methods used to prepare the data for analysis and discuss how these approaches can be generalized beyond the current application. METHODS: The University of North Carolina Biomedical Institutional Review Board approved all study procedures. Participants who met diagnostic criteria for BED or BN provided real time assessments of eating behaviors and feelings through the Recovery Record app delivered on iPhones and the Apple Watches. Continuous passive measures of physiological activation (heart rate) and physical activity (step count) were collected from Apple Watches over 30 days. Data were cleaned to account for user and device recording errors, including duplicate entries and unreliable heart rate and step values. Across participants, the proportion of data points removed during cleaning ranged from <0.1% to 2.4%, depending on the data source. To prepare the data for multivariate time series analysis, we used a novel data handling approach to address variable measurement frequency across data sources and devices. This involved mapping heart rate, step count, feeling ratings, and eating disorder behaviors onto simultaneous minute-level time series that will enable the characterization of individual- and group-level regulatory dynamics preceding and following binge and purge episodes. RESULTS: Data collection and cleaning are complete. Between August 2017 and May 2021, 1019 participants provided an average of 25 days of data yielding 3,419,937 heart rate values, 1,635,993 step counts, 8274 binge or purge events, and 85,200 feeling observations. Analysis will begin in spring 2022. CONCLUSIONS: We provide a detailed description of the methods used to collect, clean, and prepare personal digital device data from one component of a large, longitudinal eating disorder study. The results will identify digital signatures of increased risk for binge and purge events, which may ultimately be used to create digital interventions for BED and BN. Our goal is to contribute to increased transparency in the handling and analysis of personal digital device data. TRIAL REGISTRATION: ClinicalTrials.gov NCT04162574; https://clinicaltrials.gov/ct2/show/NCT04162574. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/38294.

Retention, engagement, and binge-eating outcomes: Evaluating feasibility of the Binge-Eating Genetics Initiative study.

OBJECTIVE: Using preliminary data from the Binge-Eating Genetics Initiative (BEGIN), we evaluated the feasibility of delivering an eating disorder digital app, Recovery Record, through smartphone and wearable technology for individuals with binge-type eating disorders. METHODS: Participants (n = 170; 96% female) between 18 and 45 years old with lived experience of binge-eating disorder or bulimia nervosa and current binge-eating episodes were recruited through the Recovery Record app. They were randomized into a Watch (first-generation Apple Watch + iPhone) or iPhone group; they engaged with the app over 30 days and completed baseline and endpoint surveys. Retention, engagement, and associations between severity of illness and engagement were evaluated. RESULTS: Significantly more participants in the Watch group completed the study (p = .045); this group had greater engagement than the iPhone group (p's < .05; pseudo-R2 McFadden effect size = .01-.34). Overall, binge-eating episodes, reported for the previous 28 days, were significantly reduced from baseline (mean = 12.3) to endpoint (mean = 6.4): most participants in the Watch (60%) and iPhone (66%) groups reported reduced binge-eating episodes from baseline to endpoint. There were no significant group differences across measures of binge eating. In the Watch group, participants with fewer episodes of binge eating at baseline were more engaged (p's < .05; pseudo-R2 McFadden  = .01-.02). Engagement did not significantly predict binge eating at endpoint nor change in binge-eating episodes from baseline to endpoint for both the Watch and iPhone groups. DISCUSSION: Using wearable technology alongside iPhones to deliver an eating disorder app may improve study completion and app engagement compared with using iPhones alone.

Eating disorders early app use mediates treatment effect on clinical improvement.

OBJECTIVE: Eating disorders (EDs) contribute considerably to the global burden of disease. However, most affected individuals do not receive treatment. Mobile apps present an enormous opportunity to increase access to mental healthcare services. This study examined whether the degree of usage of a self-help app for EDs mediated the app's effects on the clinical response by individuals with EDs. METHOD: App usage measures included the total number of cognitive-behavioral meal logs, total number of days spent using the app, and the last day the app was used during the study period. Mediation analysis was performed using the MacArthur framework. RESULTS: All usage variables met the analytic requirements for testing mediation (group means (sd) for app and standard app, respectively: logs = 74 (108) vs. 51.4 (88.1), days spent = 14.3 (17.5) vs. 10.6 (15.0), p-values from Wilcox rank sum tests p < .01). Regression coefficients indicated mediation effects. The mediation effects demonstrated support that increased engagement (as measured by logs and time spent on the app) was related to an increased likelihood of achieving a significant clinical change by the end of the trial. DISCUSSION: Greater and longer engagement in an ED app mediates its efficacy in terms of ED remission.

Measurement invariance of the Eating Pathology Symptoms Inventory (EPSI) in adolescents and adults.

Adolescence is a common period for eating disorder (ED) onset. The availability of psychometrically sound measures of ED psychopathology enables clinicians to accurately assess symptoms and monitor treatment outcomes continuously from adolescence and adulthood. The purpose of this study was to assess if the Eating Pathology Symptoms Inventory (EPSI) is invariant across adolescents and adults. Participants (N = 29,821) were adolescent (n = 5250) and adult (n = 24,571) users of the Recovery Record (RR) mobile phone application who provided EPSI responses through the application. Measurement invariance testing was conducted to assess invariance of the EPSI Body Dissatisfaction, Restricting, Excessive Exercise, Purging, Cognitive Restraint, and Binge Eating scales across adolescents (age 13 through 17) and adults (age 18 and older). Findings indicated that all EPSI factors administered in the RR app replicated in both adolescent and adult users. The EPSI factor structure was largely equivalent in adolescents and adults, demonstrating evidence for configural and metric invariance, as well as some evidence for scalar invariance. Our results indicated that EPSI scales measured the same constructs across development. Clinicians and researchers may benefit from utilizing the EPSI to measure ED psychopathology in adolescents and for continued progress monitoring into adulthood.

A network investigation of core symptoms and pathways across duration of illness using a comprehensive cognitive-behavioral model of eating-disorder symptoms.

BACKGROUND: In the past decade, network analysis (NA) has been applied to psychopathology to quantify complex symptom relationships. This statistical technique has demonstrated much promise, as it provides researchers the ability to identify relationships across many symptoms in one model and can identify central symptoms that may predict important clinical outcomes. However, network models are highly influenced by node selection, which could limit the generalizability of findings. The current study (N = 6850) tests a comprehensive, cognitive-behavioral model of eating-disorder symptoms using items from two, widely used measures (Eating Disorder Examination Questionnaire and Eating Pathology Symptoms Inventory). METHODS: We used NA to identify central symptoms and compared networks across the duration of illness (DOI), as chronicity is one of the only known predictors of poor outcome in eating disorders (EDs). RESULTS: Our results suggest that eating when not hungry and feeling fat were the most central symptoms across groups. There were no significant differences in network structure across DOI, meaning the connections between symptoms remained relatively consistent. However, differences emerged in central symptoms, such that cognitive symptoms related to overvaluation of weight/shape were central in individuals with shorter DOI, and behavioral central symptoms emerged more in medium and long DOI. CONCLUSIONS: Our results have important implications for the treatment of individuals with enduring EDs, as they may have a different core, maintaining symptoms. Additionally, our findings highlight the importance of using comprehensive, theoretically- or empirically-derived models for NA.

Eating-disorder psychopathology and driven exercise change models: A latent change score analysis.

OBJECTIVE: Approximately 50% of people with eating disorders (EDs) engage in driven exercise to influence their weight or shape and/or to compensate for loss-of-control eating. When present, driven exercise is associated with a lower quality-of-life, longer hospital stays, and faster rates-of-relapse. Despite the seriousness of driven exercise, most treatments for EDs do not target maladaptive exercise behaviors directly. Given the large proportion of patients with an ED who engage in driven exercise and its effect on treatment outcomes, it is critical to understand what predicts change in driven exercise. The purpose of this study was to test whether ED symptoms prospectively predicted change in driven exercise and vice versa. METHOD: Participants were Recovery Record (RR) users (N = 4,568; 86.8% female) seeking treatment for an ED. Participants completed the Eating Pathology Symptoms Inventory (EPSI) monthly for 3 months. RESULTS: In the full sample, dynamic bivariate latent change score analyses indicated that high levels of dietary restraint and restricting prospectively predicted reductions in driven exercise. Among persons with anorexia nervosa (AN), high levels of binge eating predicted increased driven exercise. Among persons with bulimia nervosa (BN), high levels of body dissatisfaction predicted increased driven exercise. Among persons with binge-eating disorder (BED), high levels of binge eating, purging, and restricting predicted reductions in driven exercise. DISCUSSION: Results highlight changes that may predict increased or decreased driven exercise relative to other ED symptoms for AN, BN, and BED groups. These preliminary findings could inform future research on ED treatment efforts to manage driven exercise.

The Binge Eating Genetics Initiative (BEGIN): study protocol.

BACKGROUND: The Binge Eating Genetics Initiative (BEGIN) is a multipronged investigation examining the interplay of genomic, gut microbiota, and behavioral factors in bulimia nervosa and binge-eating disorder. METHODS: 1000 individuals who meet current diagnostic criteria for bulimia nervosa or binge-eating disorder are being recruited to collect saliva samples for genotyping, fecal sampling for microbiota characterization, and recording of 30 days of passive data and behavioral phenotyping related to eating disorders using the app Recovery Record adapted for the Apple Watch. DISCUSSION: BEGIN examines the interplay of genomic, gut microbiota, and behavioral factors to explore etiology and develop predictors of risk, course of illness, and response to treatment in bulimia nervosa and binge-eating disorder. We will optimize the richness and longitudinal structure of deep passive and active phenotypic data to lay the foundation for a personalized precision medicine approach enabling just-in-time interventions that will allow individuals to disrupt eating disorder behaviors in real time before they occur. TRIAL REGISTRATION: The ClinicalTrials.gov identifier is NCT04162574. November 14, 2019, Retrospectively Registered.

Efficacy and acceptability of self-monitoring via a smartphone application versus traditional paper records in an intensive outpatient eating disorder treatment setting.

OBJECTIVE: Although self-monitoring is an important part of eating disorder treatment, non-adherence is commonly observed among patients asked to maintain paper food records. This study aims to compare the efficacy and acceptability of electronic self-monitoring via Recovery Record to self-monitoring via traditional paper records, in an intensive outpatient (IOP) eating disorder treatment for adults. METHOD: Ninety patients were recruited from an IOP eating disorder clinic and randomly assigned to the experimental or control condition. Those in the control condition received the standard treatment delivered by the IOP programme, including the use of paper records for self-monitoring. Those in the experimental condition received the same treatment but used Recovery Record for self-monitoring. RESULTS: The results did not demonstrate statistically significant group differences over time on eating disorder symptomatology, and there were no statistically significant group differences on acceptability or adherence. CONCLUSIONS: Our pilot efficacy data do not support superiority of the app over paper records in an IOP setting, so proceeding to a larger efficacy trial is not warranted. Future studies should aim to determine whether the app is efficacious as an adjunct to less intensive treatment or to further explore adherence and acceptability outcomes in studies with larger sample sizes. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02484794.

Eating disorder core symptoms and symptom pathways across developmental stages: A network analysis.

Eating disorders (EDs) often develop during adolescence and early adulthood but may persist, arise, or reemerge across the life span. Research and treatment efforts primarily focus on adolescent and young adult populations, leaving large knowledge gaps regarding ED symptoms across the entire developmental spectrum. The current study uses network analysis to compare central symptoms (i.e., symptoms that are highly connected to other symptoms) and symptom pathways (i.e., relations among symptoms) across five developmental stages (early adolescence, late adolescence, young adulthood, early-middle adulthood, middle-late adulthood) in a large sample of individuals with EDs (N = 29,902; N = 32,219) in two network models. Several symptoms related to overeating, food avoidance, feeling full, and overvaluation of weight and shape emerged as central in most or all developmental stages, suggesting that some core symptoms remain central across development. Despite similarities in central symptoms, significant differences in network structure (i.e., how symptom pathways are connected) emerged across age groups. These differences suggest that symptom interconnectivity (but not symptom severity) might increase across development. Future research should continue to investigate developmental symptom differences in order to inform treatment for individuals with EDs of all ages. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Comparing a Tailored Self-Help Mobile App With a Standard Self-Monitoring App for the Treatment of Eating Disorder Symptoms: Randomized Controlled Trial.

BACKGROUND: Eating disorders severely impact psychological, physical, and social functioning, and yet, the majority of individuals with eating disorders do not receive treatment. Mobile health apps have the potential to decrease access barriers to care and reach individuals who have been underserved by traditional treatment modalities. OBJECTIVE: The objective of this study was to evaluate the effectiveness of a tailored, fully automated self-help version of Recovery Record, an app developed for eating disorders management. We examined differences in eating disorder symptom change in app users that were randomized to receive either a standard, cognitive behavioral therapy-based version of the app or a tailored version that included algorithmically determined clinical content aligned with baseline and evolving user eating disorder symptom profiles. METHODS: Participants were people with eating disorder symptoms who did not have access to traditional treatment options and were recruited via the open-access Recovery Record app to participate in this randomized controlled trial. We examined both continuous and categorical clinical improvement outcomes (measured with the self-report Eating Disorder Examination Questionnaire [EDE-Q]) in both intervention groups. RESULTS: Between December 2016 and August 2018, 3294 Recovery Record app users were recruited into the study, out of which 959 were considered engaged, completed follow-up assessments, and were included in the analyses. Both study groups achieved significant overall outcome improvement, with 61.6% (180/292) of the tailored group and 55.4% (158/285) of the standard group achieving a clinically meaningful change in the EDE-Q, on average. There were no statistically significant differences between randomized groups for continuous outcomes, but a pattern of improvement being greater in the tailored group was evident. The rate of remission on the EDE-Q at 8 weeks was significantly greater in the group receiving the tailored version (d=0.22; P≤.001). CONCLUSIONS: This is the first report to compare the relative efficacy of two versions of a mobile app for eating disorders. The data suggest that underserved individuals with eating disorder symptoms may benefit clinically from a self-help app and that personalizing app content to specific clinical presentations may be more effective in promoting symptomatic remission on the EDE-Q than content that offers a generic approach. TRIAL REGISTRATION: ClinicalTrials.gov NCT02503098; https://clinicaltrials.gov/ct2/show/NCT02503098.

Application of network analysis to investigate sex differences in interactive systems of eating-disorder psychopathology.

OBJECTIVE: Although men comprise 25% of persons with eating disorders (EDs), most research has focused on understanding EDs in women. The theoretical framework underlying common ED treatment has not been rigorously tested in men. The purpose of this study was to compare the interconnectivity among ED symptoms in men versus women. METHOD: Participants (N = 1,348; 50% men) were individuals with anorexia nervosa, bulimia nervosa, binge-eating disorder, or other specified feeding or eating disorder who were users of Recovery Record, a smartphone app for monitoring ED symptoms. Participants were matched on age and duration of illness. Network analysis was used to create networks of symptoms for both sexes. Strength centrality, network stability, and bootstrapped centrality differences were tested. The network comparison test (NCT) was used to identify sex differences between networks. Key players analysis was used to compare fragmentation of each network. RESULTS: For both sexes, items related to binge eating and restricting emerged as highest in strength centrality. The NCT identified significant differences global strength (p = .03) but not network invariance (p = .06) suggesting that although the structure of the networks was not statistically different, the strength of the connections within the network was greater for women. Key players analysis indicated that both networks were similarly disrupted when important nodes within the network were removed. DISCUSSION: Findings suggested that there are more similarities than differences in networks of EDs in men and women. Results have important clinical implications by supporting theoretical underpinnings of cognitive-behavioral models of EDs in both men and women.

Improving aftercare with technology for anorexia nervosa after intensive inpatient treatment: A pilot randomized controlled trial with a therapist-guided smartphone app.

OBJECTIVE: To evaluate the feasibility, acceptability, and preliminary efficacy of an innovative therapist-guided smartphone-based aftercare intervention following inpatient treatment of patients with severe anorexia nervosa (AN). METHOD: Forty female patients with AN (ICD-10: F50.0/F50.1) (aged: 15-36 years) were randomized either to an 8-week smartphone-based aftercare intervention (German version of "Recovery Record") with therapist feedback as an adjunct to treatment as usual (intervention group [IG]) or to treatment as usual alone (control group [CG]). Body mass index (BMI) and eating disorder (ED) symptoms were assessed at discharge (baseline), postintervention (after 8 weeks), and at 6-month follow-up. Additionally, patients' satisfaction, adherence to the smartphone-based intervention, and postdischarge health care utilization were evaluated. RESULTS: Patients showed a high level of adherence and reported a very high acceptance of the app and the aftercare intervention. We found at postintervention nonsignificant small to moderate between-group effect sizes favoring the IG regarding BMI (d = -0.24; 95% confidence interval [CI] [-0.90, 0.41]) and ED symptoms (Eating Disorder Examination-Questionnaire global: d = 0.56; 95% CI [-0.10, 1.22]). At 6-month follow-up, effects wore off and no significant differences between the IG and CG were evident. DISCUSSION: This was the first study to evaluate a therapist-guided smartphone-based aftercare intervention for discharged inpatients with AN. Results suggest that such an intervention is highly accepted by patients and that it could support symptom stabilization or continued improvement as an add-on therapy to treatment as usual. A larger scale randomized controlled trial is now planned to further evaluate the efficacy of this aftercare intervention for patients with AN.

The Utility and Acceptability of a Self-Help Smartphone Application for Eating Disorder Behaviors.

OBJECTIVE: Smartphone applications (apps) for eating disorders are a promising approach to assist individuals who do not receive traditional treatment. This study examines usage characteristics, perceptions regarding the acceptability of a new self-help intervention developed for users with eating disorders, and associations between attitudes and use patterns. METHODS: 189 individuals pilot-tested a personalized app-based program, and 133 completed the required components of the pilot-test over an 8-day period. Of these, 64 individuals (49%) completed an exit survey pertaining to acceptability. RESULTS: Seventy percent of those who pilot-tested the app-based program completed the required components, i.e. a baseline review and then a 1-week assessment. Body mass index was associated with the total number of recorded meal logs. Study participants rated the app as highly suitable and acceptable, providing evidence of the feasibility and appropriateness of the program. CONCLUSION: The app-based program demonstrated feasibility of deploying the app across user groups and high acceptability.

Subgrouping the users of a specialized app for eating disorders.

Although mobile technologies for eating disorders (EDs) are burgeoning, there is limited data about the clinical characteristics of individuals using specialized smartphone applications (apps) without accompanying traditional forms of treatment. This study evaluated whether the users of an ED app cluster in clinically meaningful groups. Participants were 1,280 app users (91.3% female; mean age 27) who reported not being in a weekly treatment for their ED. A hierarchical cluster analysis distinguished five groups of participants, all approximating DSM-5 ED categories. One cluster comprised of non-female, ethnically diverse users with Bulimia Nervosa features. Findings suggest that app users resemble known patient classifications.

Development of a smartphone application for eating disorder self-monitoring.

OBJECTIVE: This case report aims to (1) describe the development and refinement of a smartphone application for eating disorder self-monitoring; (2) characterize its users in terms of demographic and clinical characteristics; and (3) explore its feasibility and utilization as a self-monitoring tool. METHOD: We developed a mobile phone application through which people with eating disorders can self-monitor meals, emotions, behaviors, and thoughts. The application also included positive reinforcement, coping skill suggestions, social support, and feedback components. The app was made available on two Internet app stores. Data include number of downloads and subsequent usage statistics, consumer ratings on app-stores are used as indicators of satisfaction, anonymous aggregate demographic data and Eating Disorder Examination Questionnaire scores from 57,940 individuals collected over a two-year period. RESULTS: The app demonstrated population-level utilization with over 100,000 users over a two-year period. Almost 50% percent of users stated that they are not currently receiving clinical treatment and 33% reported they had not told anyone about their eating disorder. A surprising number of people with severe problems are using the app. DISCUSSION: Smartphone apps have the capacity to reach and engage traditionally underserved individuals with eating disorders at a large scale. Additional work is indicated for the evaluation of the clinical effectiveness of applications for specific user groups and in clinical treatment contexts.

Sustaining pressure ulcer best practices in a high-volume cardiac care environment.

\Narayana Hrudayalaya Cardiac Hospital (NHCH) in Bangalore, India (now known as the Narayana Institute of Cardiac Sciences), is one of the world's largest and busiest cardiac hospitals. In early 2009, NHCH experienced a sharp increase in the number of surgical procedures performed and a corresponding rise in hospital-acquired pressure ulcers. The hospital sought to reduce pressure ulcer prevalence by implementing a portfolio of quality improvement strategies. Baseline data showed that, over the five-month observation period, an average of 6% of all adult and pediatric surgical patients experienced a pressure ulcer while recovering in the NHCH intensive therapy unit (ITU). Phase 1 implementation efforts, which began in January 2010, focused on four areas: raising awareness, increasing education, improving documentation and communication, and implementing various preventive practices. Phase 2 implementation efforts, which began the following month, focused on changing operating room practices. The primary outcome measure was the weekly percentage of ITU patients with pressure ulcers. By July 2010, that percentage was reduced to zero; as of April 1, 2014, the hospital has maintained this result. Elements that contributed significantly to the program's success and sustainability include strong leadership, nurse and physician involvement, an emphasis on personal responsibility, improved documentation and communication, ongoing training and support, and a portfolio of low-tech changes to core workflows and behaviors. Many of these elements are applicable to U.S. acute care environments.