Cost-effectiveness of internet-delivered cognitive behaviour therapy for body dysmorphic disorder: Results from a randomised controlled trial.
Internet Interv
; 31: 100604, 2023 Mar.
Article
em En
| MEDLINE
| ID: mdl-36756354
ABSTRACT
Objectives:
To evaluate the cost-effectiveness of internet-delivered cognitive behaviour therapy for body dysmorphic disorder (BDD-NET).Design:
Secondary cost-effectiveness analysis from a randomised controlled trial on BDD-NET versus online supportive psychotherapy.Setting:
Academic medical center.Participants:
Self-referred adult participants with a primary diagnosis of body dysmorphic disorder and a score of 20 or higher on the modified Yale-Brown Obsessive Compulsive Scale for BDD (n = 94). Patients receiving concurrent psychotropic drug treatment were included if the dose had been stable for at least two months.Interventions:
Participants received either BDD-NET (n = 47) or online supportive psychotherapy (n = 47) for 12 weeks. Primary and secondary outcomemeasures:
The primary outcome measures were cost-effectiveness and cost-utility from a societal perspective, using remission status from a diagnostic interview and quality-adjusted life years (QALY), respectively. Secondary outcome measures were cost-effectiveness and cost-utility from a health care perspective and the clinic's perspective.Results:
Compared to supportive psychotherapy, BDD-NET produced one additional remission for an average societal cost of $4132. The cost-utility analysis showed that BDD-NET generated one QALY to an average cost of $14,319 from a societal perspective.Conclusions:
BDD-NET is a cost-effective treatment for body dysmorphic disorder, compared to online supportive psychotherapy. The efficacy and cost-effectiveness of BDD-NET should next be directly compared to in-person cognitive behaviour therapy. Trial registration NCT02010619.
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
1_ASSA2030
Base de dados:
MEDLINE
Tipo de estudo:
Clinical_trials
/
Health_economic_evaluation
Aspecto:
Patient_preference
Idioma:
En
Revista:
Internet Interv
Ano de publicação:
2023
Tipo de documento:
Article