Early Intervention Programs for Adolescents and Young Adults With Eating Disorders
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Notice bibliographique
Résumé
What Is the Problem? How Might Early Intervention Help Fix the Problem? The number of adolescents and young adults living with eating disorders is on the rise. This increase was especially noticeable during the height of the COVID-19 pandemic, with more than a 50% increase in the number of young women being hospitalized with an eating disorder. Early intervention programs are those delivered by community or health care–based organizations that offer interventions to treat adolescents and young adults living with eating disorders within the first 3 years of diagnosable disorder, with the intention of providing earlier access and preventing disease progression. What Did We Do? Advisors with lived experience of eating disorders shared their perspectives and priorities to help reviewers contextualize the evidence and interpret the findings in the literature. Advisors highlighted their treatment experiences and priorities for early intervention, highlighting equity considerations and challenges. We conducted a literature search to identify, gather, synthesize, and summarize relevant evidence to inform our understanding of the clinical effectiveness and clinical harms of early intervention programs. A search of the economic literature was conducted to identify economic evaluations of early intervention programs to treat adolescents and young adults living with eating disorders. Based on an assessment of the clinical evidence, the uncertainty and heterogeneity of the information precluded a de novo cost-effectiveness analysis (CEA). As such, a narrative summary of the health care resources required to implement an early intervention program for adolescents and young adults living with eating disorders was conducted. What Did We Find? Advisors with lived experience of eating disorders described a need for greater access to specialized services focused on eating disorder treatment, equity, capacity building, and culture change. Specific treatment approaches mentioned included family-based treatment, cognitive behavioural therapy, peer support, and group therapy. We identified 14 studies related to the clinical effectiveness of early intervention programs. We did not identify any studies evaluating clinical harms. The findings from included studies suggest that earlier engagement and access to eating disorder support could have clinical benefits; however, interpretation of these findings are uncertain due to various factors. No evidence was identified in the search for information on the cost-effectiveness of early intervention programs for the treatment of adolescents and young adults living with an eating disorder. The resources needed to run early intervention programs (or other similar interventional programs) to treat eating disorders may include administration, staffing, training, IT support and infrastructure, and other overhead costs related to the location in which the service is provided. What Does This Mean? The clinical evidence suggests that investment of health care resources into early intervention programs shows potential for overall benefit and may help address challenges with access to treatment, which was identified as an issue by those with lived experience. The human and financial resources required to implement early intervention programs will vary depending on the treatment options and treatment frequency chosen. The demands on an already limited pool of specialized health care resources in eating disorder care are important considerations when choosing whether to implement any new eating disorder treatment programs. Training and recruiting of specialized health care providers will be a key implementation consideration for any new early intervention program for the treatment of eating disorders. Further consultation with a diverse group of adolescents and young adults with lived experience with eating disorders might be beneficial to inform implementation of early intervention programs within the Canadian context.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle