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

DepMod 2.0 is an updated and validated R-based model that supports economic evaluation of depression prevention and treatment strategies across diverse healthcare settings.

Authors

Frederick W. Thielen (ORCID: https://orcid.org/0000-0002-0312-5891)
Stijn B. Peeters
Ben F. M. Wijnen

Institutions

Trimbos Institute (NL)
Erasmus University Rotterdam (NL)

Publication Details

Journal: Expert Review of Pharmacoeconomics & Outcomes Research
Published: 2026-03-03
DOI: https://doi.org/10.1080/14737167.2026.2634764
Primary Topic: Digital Mental Health Interventions
Type: article
Field-Weighted Citation Impact: 0.00

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article

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

Frederick W. Thielen, Stijn B. Peeters, Ben F. M. Wijnen

Mar 3, 2026

Expert Review of Pharmacoeconomics & Outcomes Research

Digital Mental Health Interventions

article

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

Frederick W. Thielen, Stijn B. Peeters, Ben F. M. Wijnen

March 3, 2026article en

Abstract

DepMod 2.0 is an updated and validated R-based model that supports economic evaluation of depression prevention and treatment strategies across diverse healthcare settings.

Expert Review of Pharmacoeconomics & Outcomes ResearchVol. 26(3)

Trimbos Institute (NL), Erasmus University Rotterdam (NL)

Openalex Percentile: Top 44%

Digital Mental Health Interventions

DOI Source OpenAlex

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Developing, updating and validating DepMod 2.0: an R-based decision-analytic model for the cost-effectiveness of depression interventions — Frederick W. Thielen, Stijn B. Peeters, et al. · Expert Review of Pharmacoeconomics & Outcomes Research (2026) | TGRS Research Map | TGRS