Neurostimulation therapies in major depressive disorder: A decision-analytic model.
Early Interv Psychiatry
; 15(6): 1531-1541, 2021 12.
Article
en En
| MEDLINE
| ID: mdl-33254283
ABSTRACT
AIM:
Neurostimulation techniques are effective treatments for major depressive disorders (MDD). However, the optimal sequence of electroconvulsive therapy (ECT) and transcranial magnetic stimulation (TMS) as part of antidepressant treatment algorithm is unclear. We examined the cost-effectiveness of ECT and TMS in MDD.METHODS:
A decision-analytic model was developed to determine total costs, quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs) for 10 strategies. Each strategy comprised four treatment lines with ECT and TMS incorporated as second, third, or fourth line. A scenario analysis that explored the cost-effectiveness of maintenance approach by continuing ECT and TMS after acute treatment was performed.RESULTS:
In the base case, fourth-line TMS after three preceding trials of antidepressants was least costly at US$ 5523 yielding 1.424 QALYs. Compared with this strategy, fourth-line ECT and third-line TMS followed by ECT were cost-effective with ICERs of US$ 7601 per QALY gained and US$ 11 388 per QALY gained, respectively. In the scenario analysis where continuation treatments of ECT and TMS were provided, third-line TMS followed by ECT was cost-effective, with an ICER of US$ 17 198 per QALY gained. Effectiveness of ECT and cost of managing severe depression were influential parameters affecting the cost-effectiveness results.CONCLUSIONS:
In acute treatment of MDD, fourth-line ECT was the most cost-effective strategy. In maintenance treatment, the strategy that incorporated third-line TMS and fourth-line ECT was cost-effective. The overall findings confirmed the value of neurostimulation therapies which should be offered early in the process of managing depression.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Trastorno Depresivo Mayor
/
Terapia Electroconvulsiva
Tipo de estudio:
Health_economic_evaluation
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Año:
2021
Tipo del documento:
Article