Developing, updating and validating DepMod 2.0: an R-based decision-analytic model for the cost-effectiveness of depression interventions.

Key Points

• The aim is to develop, update, and validate an R-based model for evaluating the cost-effectiveness of depression interventions.
• Developed and updated an R-based decision-analytic model.
• Validated the model through testing across diverse healthcare settings.
• Conducted economic evaluations of depression prevention and treatment strategies.
• The updated model accurately reflects cost-effectiveness outcomes.
• Offers support for various decision-making scenarios in healthcare settings.