Treatment Outcome of Adults Receiving Virtual Cognitive Behavior Therapy for an Eating Disorder

Abstract

Objective The aim of this paper is to evaluate the effectiveness of enhanced cognitive behavioral therapy (CBT-E) adapted to be delivered via telehealth in a real-world, clinic treatment setting by a multi-disciplinary team for adults with an eating disorder.

Method A retrospective analysis of treatment outcomes was conducted on adult patients (18+) who received adapted CBT-E, a transdiagnostic treatment approach specifically modified for the treatment of eating disorders. Outcome included weight and eating disorder, depression, and anxiety symptoms. Survival analyses were used to assess length of stay, weight restoration and alleviation of eating disorder, depression, and anxiety symptoms; multilevel models assessed outcome trajectories over treatment time.

Results The patient sample (n = 1,718) was predominantly white (73%), cisgender women (86%), with a mean age of 30 (SD = 12). Diagnoses included anorexia nervosa (AN, 56%), binge-eating disorder (BED, 24%), bulimia nervosa (BN, 7%), and other specified feeding and eating disorder (OSFED, 11%). Approximately 51% of patients with weight restoration targets achieved weight restoration (95% of their target weight) by week 40 of treatment. By week 40 in treatment, 49% of patients reached subclinical levels on the EDE-Q, 58% on the PHQ-8, and 56% on the GAD-7.

Discussion Adapted CBT-E delivered via telehealth by a multi-disciplinary team is effective in improving transdiagnostic eating disorder symptoms, depression, and anxiety in an outpatient setting. Outcomes were consistent across diagnoses, demonstrating the feasibility and effectiveness of virtual CBT-E. However, variability in treatment length makes direct comparison with clinical trial end-of-treatment outcomes challenging.

Public Health Significance This study shows that virtually-delivered CBT-E effectively treats eating disorders by improving symptoms and accessibility to treatment. Expanding virtual treatment can significantly reduce barriers to care, reaching more individuals and lessening the public health impact of these disorders.

Competing Interest Statement

All authors are employees at Equip Health and some hold stock options.

Funding Statement

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The project was funded by Equip Health, LLC

Author Declarations

I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

Yes

The details of the IRB/oversight body that provided approval or exemption for the research described are given below:

The evaluation of our patient treatment outcomes was reviewed by the Western Institutional Review Board (WIRB). It was determined evaluation of patient treatment outcomes do not meet the definition of human subjects research and are therefore considered exempt from IRB oversight.

I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.

Yes

I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

Yes

I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable.

Yes

Data Availability

De-identified aggregate data is available upon reasonable request.

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