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

Expert Rev Pharmacoecon Outcomes Res. 2021 Oct;21(5):1031-1042. doi: 10.1080/14737167.2021.1844566. Epub 2020 Nov 23.

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 €20,000 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.

Keywords: Cost-effectiveness; budget impact; depression; health-economic modeling; major depressive disorder.

MeSH terms

  • Adult
  • Budgets
  • Cost-Benefit Analysis
  • Depressive Disorder / economics
  • Depressive Disorder / prevention & control
  • Depressive Disorder / therapy*
  • Economics, Medical
  • Health Care Costs / statistics & numerical data*
  • Humans
  • Markov Chains
  • Models, Economic*
  • Quality-Adjusted Life Years*
  • Severity of Illness Index

Grants and funding

Development of DepMod was financially supported by The Netherlands Organisation for Health Research and Development (ZonMW), grant 50-50110-96-634. An earlier version was supported by the Netherlands’ Ministry of Health (VWS). Joran Lokkerbol was supported by The Netherlands Organisation for Health Research and Development (ZonMw) Mental Healthcare Fellowship, grant #636320003.