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Evaluation ViewAttendees 2

Traditional Workshop - Ticketed

Eating Disorders

Session: Network-Informed Personalized Treatment for Eating Disorders

Workshop 8 - Network-informed Personalized Treatment for Eating Disorders

Saturday, November 18, 2023
8:00 AM – 11:00 AM PST
Location: 404 (Entiat), Level 4
Earn 3 Credit
Ticketed Session
Keywords: Anorexia, Eating, Treatment Development
Level of Familiarity: All
Recommended Readings: Borsboom, D., & Cramer, A. O. (2013). Network analysis: an integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91-121.,   Levinson, C. A., Hunt, R. A., Keshishian, A. C., Brown, M. L., Vanzhula, I., Christian, C., ... & Williams, B. M. (2021). Using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data. Journal of Eating Disorders, 9, 1-18.,   Levinson, C. A., Vanzhula, I. A., Brosof, L. C., & Forbush, K. (2018). Network analysis as an alternative approach to conceptualizing eating disorders: Implications for research and treatment. Current Psychiatry Reports, 20, 1-15.,   Levinson, C. A., Cash, E., Welch, K., Epskamp, S., Hunt, R. A., Williams, B. M., ... & Spoor, S. P. (2020). Personalized networks of eating disorder symptoms predicting eating disorder outcomes and remission. International Journal of Eating Disorders, 53, 2086-2094.,   Levinson, C.A., Williams, B.M., Christian, C., Hunt, R.A., Keshishian, A.C., Brosof, L.C., Vanzhula, I.A., Davis, G.G., Brown, M.L., Bridges-Curry, Z., Sandoval-Araujo, L.E., & Ralph-Nearman, C. (in press). Personalizing eating disorder treatment using idiographic models: An open series trial. Journal of Consulting and Clinical Psychology.
Eating disorders (EDs) are serious mental illnesses associated with high mortality rates and detrimental effects on functioning and quality of life (Arcelus et al., 2011; Jenkins et al., 2011). Current evidence-based treatments for EDs such as enhanced cognitive behavioral therapy (Fairburn, 2008) result in remission for only 30-50% of individuals, and no evidence-based treatments exist for adults with anorexia nervosa (AN) or atypical AN (Kaidesoja et al., 2022). These current gold-standard ED treatments often use a ‘one-size-fits-all’ approach, which may be limited due to the high degree of heterogeneity in symptoms both within and across diagnoses (Levinson et al., 2018). One method of addressing heterogeneity is to personalize treatment to the individual using data-driven approaches. Transdiagnostic Network-informed Personalized Treatment for Eating Disorders (T-NIPT-ED) seeks to address the issue of heterogeneity in symptoms and treatment response by personalizing treatment using idiographic (i.e., one person) network analysis (Levinson et al., 2021; Piccirillo et al., 2019). T-NIPT-ED takes a cognitive-behavioral theoretical approach to address a wide variety of symptoms including cognitions, affect, behavior, and co-occurring disorders using 18 symptom-specific interventions. Data suggests that T-NIPT-ED is feasible, acceptable, and leads to decreases in ED symptom severity, related pathology (e.g., worry, depression) and clinical impairment at posttreatment and one-year follow-up (Levinson et al., in press). To enhance feasibility with clinicians, we developed the Awaken Digital Guide, a companion digital mobile application that securely collects and identifies personalized treatment targets and matching evidence-based treatments delivered in a clinician-friendly and easy to use manner. This workshop will provide attendees with foundational knowledge of personalized treatment for EDs through lecture, demonstrations, and group-based learning activities. Additionally, clinician-facing software for calculating idiographic networks and selecting treatment targets in clinical practice will be demonstrated. Attendees will leave confident in their ability to implement T-NIPT-ED in their clinical practice.

Outline:
• Background on personalized treatment for EDs
o Why personalize treatment?
o Evidence from pilot trial
• Network-informed personalized treatment
o Overview of treatment
o Collecting ecological momentary assessment data
o Calculating and understanding network analysis
• Demonstration of clinician-facing software to compute networks
• Discussion of symptoms targeted and demonstration of treatment modules
• Questions and Discussion

Learning Objectives:

At the end of the session, the learner will be able to:
  • Explain the evidence for transdiagnostic network-informed personalized treatment for eating disorders.
  • Utilize clinician-facing software to facilitate network-informed personalized treatment in clinical practice.
  • Describe at least three symptoms targeted by network-informed personalized treatment for eating disorders.
  • Describe at least three evidence-based interventions used in network-informed personalized treatment for eating disorders.
  • Use transdiagnostic network-informed personalized treatment with clients with eating disorders.
  • Long-term Goals: Use data-driven personalized assessment methods with eating disorders.
  • Long-term Goals: Use network-informed personalized treatment with clients with eating disorders in clinical practice.