Designing and Testing of a Health-Economic Markov Model for Prevention and Treatment of Early Psychosis.

Abstract:

BACKGROUND:This study aims to report on the design of a model to determine the cost-effectiveness of prevention and treatment of early psychosis (PsyMod) and to estimate ten-year cost-effectiveness and budget impact of interventions targeting individuals with ultra-high risk (UHR) of developing psychosis or with first episode psychosis (FEP). METHODS:PsyMod was built in parallel with the development of a new standard of care for treatment of early psychosis in the Netherlands. PsyMod is a state-transition cohort simulation model and considers six health states, namely ultra-high risk of psychosis (UHR), FEP, post-FEP, no-UHR, recovery/remission, and death. Results are expressed as total healthcare costs, QALYs, incremental cost-effectiveness ratio (ICER), and budget impact. RESULTS:PsyMod was used to extrapolate budget impact and cost-effectiveness of cognitive behavioural therapy for preventing FEP for individuals at UHR of psychosis (CBTuhr) compared to care as usual. CBTuhr resulted in a per-patient increase of 0.06 QALYs and a per patient cost reduction of €654 (dominant ICER) with a reduction in 5-year healthcare costs of €1,002,166. CONCLUSIONS:PsyMod can be used to examine cost-effectiveness and budget impact of interventions targeting prevention and treatment of FEP and is freely available for academic purposes upon request by the authors.

authors

Wijnen BFM,Thielen FW,Konings S,Feenstra T,Van Der Gaag M,Veling W,De Haan L,Ising H,Hiligsmann M,Evers SMAA,Smit F,Lokkerbol J

doi

10.1080/14737167.2019.1632194

subject

Has Abstract

pub_date

2020-06-01 00:00:00

pages

269-279

issue

3

eissn

1473-7167

issn

1744-8379

journal_volume

20

pub_type

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