Abstract
Background/objective: To describe the design of 'DepMod,' a health-economic Markov model for assessing cost-effectiveness and budget impact of user-defined preventive interventions and treatments in depressive disorders.
Methods: DepMod has an epidemiological layer describing how a cohort of people can transition between health states (sub-threshold depression, first episode of mild, moderate or severe depression (partial) remission, recurrence, death). Superimposed on the epidemiological layer, DepMod has an intervention layer consisting of a reference scenario and alternative scenario comparing the effectiveness and cost-effectiveness of a user-defined package of preventive interventions and psychological and pharmacological treatments of depression. Results are presented in terms of quality-adjusted life years (QALYs) gained and healthcare expenditure. Costs and effects can be modeled over 5 years and are subjected to probabilistic sensitivity analysis.
Results: DepMod was used to assess the cost-effectiveness of scaling up preventive interventions for treating people with subclinical depression, which showed that there is an 82% probability that scaling up prevention is cost-effective given a willingness-to-pay threshold of euro20,000 per QALY.
Conclusion: DepMod is a Markov model that assesses the cost-utility and budget impact of different healthcare packages aimed at preventing and treating depression and is freely available for academic purposes upon request at the authors.
Original language | English |
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Pages (from-to) | 1031-1042 |
Number of pages | 12 |
Journal | Expert Review of Pharmacoeconomics & Outcomes Research |
Volume | 21 |
Issue number | 5 |
Early online date | 22 Nov 2020 |
DOIs | |
Publication status | Published - 3 Sept 2021 |
Keywords
- Cost-effectiveness
- budget impact
- major depressive disorder
- health-economic modeling
- depression
- GLOBAL BURDEN
- SYSTEMATIC ANALYSIS
- GENERAL-POPULATION
- MAJOR DEPRESSION
- MENTAL-DISORDERS
- METAANALYSIS
- INTERVENTION
- DISABILITY
- INJURIES
- DISEASES