Design of a health-economic Markov model to assess cost-effectiveness and budget impact of the prevention and treatment of depressive disorder

Joran Lokkerbol, Ben Wijnen*, Henricus G. Ruhe, Jan Spijker, Arshia Morad, Robert Schoevers, Marrit K. de Boer, Pim Cuijpers, Filip Smit

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Web of Science)

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 languageEnglish
Pages (from-to)1031-1042
Number of pages12
JournalExpert Review of Pharmacoeconomics & Outcomes Research
Volume21
Issue number5
Early online date22 Nov 2020
DOIs
Publication statusPublished - 3 Sep 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

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