scholarly journals A Guided Online and Mobile Self-Help Program for Individuals With Eating Disorders: An Iterative Engagement and Usability Study

2016 ◽  
Vol 18 (1) ◽  
pp. e7 ◽  
Author(s):  
Martina Nitsch ◽  
Christina N Dimopoulos ◽  
Edith Flaschberger ◽  
Kristina Saffran ◽  
Jenna F Kruger ◽  
...  
Keyword(s):  
Eating Disorders ◽  
Usability Study ◽  
Self Help

Breaking the silence of eating disorders with the hope of an online self-help programme

2012 ◽  
Vol 40 (2) ◽  
pp. 245-257 ◽  
Author(s):  
Sau Fong Leung ◽  
Joyce Ma ◽  
Janice Russell
Keyword(s):  
Eating Disorders ◽  
Self Help

Adapting a Technology-Based Eating Disorder Model for Athletes

2018 ◽  
Vol 12 (4) ◽  
pp. 699-717 ◽  
Author(s):  
Rachael E. Flatt ◽  
Craig Barr Taylor
Keyword(s):  
Eating Disorders ◽  
Health Programs ◽  
Evidence Based ◽  
Face To Face ◽  
Self Help ◽  
High Prevalence ◽  
Integrate Technology ◽  
Receive Treatment ◽  
Mental Health Programs ◽  
Evidence Based Care

Eating disorders (EDs) are common amongst athletes, yet few receive treatment. Given that athletes have a unique set of risk factors for eating disorders and are faced with additional barriers to treatment, new models outside of face-to-face treatment are necessary to reach the population and provide more affordable, tailored, evidence-based care. One solution is to use digital mental health programs to provide primary or supplemental therapy. Digital programs can provide accessibility and privacy, and recent advancements allow for more personalized online experiences. However, there have been no studies to date that integrate technology-based tools to address the especially high prevalence rates of EDs in athletes. This paper describes how an integrated model that includes online screening linked to guided self-help programs, all adapted specifically for athletes, can be used to provide prevention and intervention of EDs in athletes.

scholarly journals Effectiveness of a Digital Cognitive Behavior Therapy–Guided Self-Help Intervention for Eating Disorders in College Women

2020 ◽  
Vol 3 (8) ◽  
pp. e2015633 ◽  
Author(s):  
Ellen E. Fitzsimmons-Craft ◽  
C. Barr Taylor ◽  
Andrea K. Graham ◽  
Shiri Sadeh-Sharvit ◽  
Katherine N. Balantekin ◽  
...  
Keyword(s):  
Eating Disorders ◽  
College Women ◽  
Behavior Therapy ◽  
Cognitive Behavior Therapy ◽  
Cognitive Behavior ◽  
Self Help

Self-help and guided self-help for eating disorders

2002 ◽  
Author(s):  
U Schmidt ◽  
S Perkins ◽  
S Winn ◽  
R Murphy ◽  
C Williams
Keyword(s):  
Eating Disorders ◽  
Self Help

scholarly journals Self-Help And Recovery guide for Eating Disorders (SHARED): study protocol for a randomized controlled trial

Trials ◽  
2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Valentina Cardi ◽  
Suman Ambwani ◽  
Ross Crosby ◽  
Pamela Macdonald ◽  
Gill Todd ◽  
...  
Keyword(s):  
Eating Disorders ◽  
Randomized Controlled Trial ◽  
Study Protocol ◽  
Controlled Trial ◽  
Randomized Controlled ◽  
Self Help

scholarly journals Correction: Virtual Reality App for Treating Eating Behavior in Eating Disorders: Development and Usability Study

10.2196/29686 ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. e29686
Author(s):  
Billy Sundström Langlet ◽  
Dorothy Odegi ◽  
Modjtaba Zandian ◽  
Jenny Nolstam ◽  
Per Södersten ◽  
...  
Keyword(s):  
Eating Disorders ◽  
Virtual Reality ◽  
Eating Behavior ◽  
Usability Study

scholarly journals Social Media Chatbot for Increasing Physical Activity: Usability Study

2021 ◽  
Author(s):  
Dillys Larbi ◽  
Elia Gabarron ◽  
Kerstin Denecke
Keyword(s):  
Physical Activity ◽  
Clinical Trial ◽  
Social Media ◽  
Large Population ◽  
Physical Activity Promotion ◽  
Cost Effective ◽  
Usability Study ◽  
Self Help ◽  
Activity Promotion

Fully automated self-help interventions integrated with social media chatbots could serve as highly cost-effective physical activity promotion tools for a large population. We have developed MYA, a Telegram-based chatbot for increasing physical activity. The objective of this study was to assess the usability of MYA. To identify usability issues, we recruited volunteers and asked them to interact with MYA and to answer the Chatbot Usability Questionnaire. Thirty volunteers participated in the study, 83.3% agreed MYA was welcoming during initial setup and 63.3% agreed MYA was very easy to use. MYA was perceived as realistic and engaging, easy to navigate, and its responses were useful, appropriate, and informative (all 53.3%). However, 63.3% of respondents agreed MYA failed to recognize most of their inputs, and 43.3% claimed it would be easy to get confused when using MYA. Although the results are encouraging, it remains unclear if a social media chatbot can motivate people to increase their physical activity. MYA has the potential to do that, with improvements in functionalities like challenge personalization. The efficacy of these approaches should be studied in a clinical trial.

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

10.2196/14972 ◽  
2019 ◽  
Vol 6 (11) ◽  
pp. e14972 ◽  
Author(s):  
Jenna Tregarthen ◽  
Jane Paik Kim ◽  
Shiri Sadeh-Sharvit ◽  
Eric Neri ◽  
Hannah Welch ◽  
...  
Keyword(s):  
Eating Disorders ◽  
Randomized Controlled Trial ◽  
Eating Disorder ◽  
Controlled Trial ◽  
Mobile App ◽  
Traditional Treatment ◽  
Eating Disorder Symptoms ◽  
Randomized Controlled ◽  
Self Help ◽  
Disorder Symptom

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 eastin 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.

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