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

Stijn B. Peeters et al.

Expert Review of Pharmacoeconomics & Outcomes Research2026https://doi.org/10.1080/14737167.2026.2634764article
ABDC C
Weight
0.50

What the paper says

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.

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https://doi.org/https://doi.org/10.1080/14737167.2026.2634764

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@article{stijn2026,
  title        = {{Developing, updating and validating DepMod 2.0: an R-based decision-analytic model for the cost-effectiveness of depression interventions}},
  author       = {Stijn B. Peeters et al.},
  journal      = {Expert Review of Pharmacoeconomics & Outcomes Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/14737167.2026.2634764},
}

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

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.