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Binge Eating Disorders01:23

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Binge eating disorder is a significant mental health condition characterized by recurrent episodes of excessive food consumption within a short period, accompanied by a perceived loss of control over eating behavior. Unlike occasional overeating, binge eating disorder is marked by distressing emotions such as guilt, shame, and anxiety following binge episodes. The disorder affects individuals across different ages and backgrounds, with profound implications for physical and psychological...
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Design, Implement, Sustain: Advancing Program-Led Interventions for Binge Eating, a Narrative Review.

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Summary

Program-led interventions offer scalable treatment for binge eating disorder. Strategies are proposed to improve their implementation, adherence, and reach in routine care.

Keywords:
eating disorderseffectivenessimplementationprogram‐led interventionsstepped care

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Area of Science:

  • Psychiatry
  • Clinical Psychology
  • Digital Health

Background:

  • Binge eating disorder (BED) affects many individuals who do not receive treatment due to specialist shortages and long waitlists.
  • Program-led interventions (PLIs) offer a scalable solution by embedding therapeutic content and guidance within the program.
  • Despite their potential, PLIs are not widely implemented in routine clinical care for BED.

Purpose of the Study:

  • To synthesize evidence on PLIs for recurrent BED.
  • To propose strategies for optimizing the design, personalization, and implementation of PLIs.
  • To overcome barriers hindering the widespread adoption of PLIs in routine care.

Main Methods:

  • A structured keyword-based literature search was conducted on PLIs for recurrent BED.
  • Evidence from the search was synthesized to identify key factors influencing intervention success.
  • Strategies were developed based on the synthesized evidence to enhance PLI implementation.

Main Results:

  • Intervention format, user support, and individual characteristics influence PLI success.
  • Specialist-guided models improve adherence, reduce dropout, and aid adverse event monitoring.
  • Personalized digital interventions with therapist contact enhance adherence and reduce dropout.

Conclusions:

  • PLIs provide scalable, cost-effective BED care, balancing guidance, automation, and scalability.
  • Implementation challenges include resource needs, technology, and diverse population applicability.
  • Future research should explore hybrid models, algorithmic guidance, and assess feasibility, equity, safety, and privacy for sustainable implementation.