TY - JOUR
T1 - Designing and Testing of a Health-Economic Markov Model for Prevention and Treatment of Early Psychosis
AU - Wijnen, Ben F.M.
AU - Thielen, Frederick W.
AU - Konings, Steef
AU - Feenstra, Talitha
AU - Van Der Gaag, Mark
AU - Veling, Wim
AU - De Haan, Lieuwe
AU - Ising, Helga
AU - Hiligsmann, Mickaël
AU - Evers, Silvia M.A.A.
AU - Smit, Filip
AU - Lokkerbol, Joran
PY - 2020/5/3
Y1 - 2020/5/3
N2 - 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.
AB - 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.
KW - Schizophrenia
KW - budget impact
KW - cost-effectiveness
KW - economic evaluation
KW - health economic modelling
KW - psychosis
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UR - https://www.ncbi.nlm.nih.gov/pubmed/31195900
U2 - https://doi.org/10.1080/14737167.2019.1632194
DO - https://doi.org/10.1080/14737167.2019.1632194
M3 - Article
C2 - 31195900
SN - 1473-7167
VL - 20
SP - 269
EP - 279
JO - Expert Review of Pharmacoeconomics and Outcomes Research
JF - Expert Review of Pharmacoeconomics and Outcomes Research
IS - 3
ER -