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Session: Evaluating Prevention Programmes
Room: Meeting Rooms 25+26
Time: Fri 11:45-13:00

Presenter: Leyla Mohseninejad (University Medical Center Groningen. Epidemiology)

Abstract

This paper presents a Value of Information Analysis (VOI) applied to opportunistic screening followed by minimal counseling (MCP) to prevent major depression in persons with sub-threshold depression. This application has two novel aspects: First, the societal perspective has been considered as well as the healthcare perspective. Paying attention to the societal perspective is important in mental disorders like major depression, with a large part of the burden of disease consisting of productivity losses. Furthermore, a recently published algorithm was used to support picking a sufficient number of simulation rounds in the Monte Carlo Simulations that were applied to estimate Expected Values of Information for groups of parameters. Mean cost-effectiveness from a healthcare perspective was €1430 per QALY gained, but from a societal perspective MCP was cost-saving. Expected Values of Perfect Information reached minimum of about € 32 million from healthcare and € 35 million from societal perspective, showing that further research is potentially worthwhile. Priorities in future research were then defined by means of Partial EVPI, underlining the importance of productivity loss. While different threshold values should be used in different perspectives, comparing perspectives further clarifies the role of productivity costs and its associated uncertainty in preventing major depression.

Key Terms

Value of information analysis, depression, Markov modeling

Authors:

Leyla Mohseninejad (University Medical Center Groningen. Epidemiology) , Pieter van Baal (Erasmus University. iMTA) , Matthijs van den Berg (RIVM. VTV) , Filip Smit (Netherlands Institute of Mental Health and Addiction. Trimbos Institute) , Erik Buskens (University Medical Center Groningen. Epidemiology) and Talitha Feenstra (University Medical Center Groningen. Epidemiology)

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