Abstract
Aims: The first aim was to determine the cost-effectiveness of CBTuhr to prevent first-episode psychosis in ultra-high risk (UHR) at 18 and 48 months. The second aim was to develop an optimized prediction model of a first-episode psychosis. Methods: 196 help-seeking UHR patients participated in the Early Detection Intervention (EDIE) study in the Netherlands. All individuals were treated with routine care (RC) for non-psychotic disorders. The experimental group received add-on CBTuhr to prevent psychosis. Results: The CBTuhr intervention was cost saving at 18 and 48 months follow-up. This was achieved by less hospital admissions and a reduction in other service costs. Societal costs were reduced because more treated patients were employed. Prognostic modelling identified 3 UHR risk classes with 4%, 13% and 70% risk for transition within 18 months. In the highest risk class, transition to psychosis emerged on average ≥ 8 months earlier than in the lowest risk class. Conclusions: Using prognostic modelling and proactive care can accomplish health gain at lower costs.
Original language | English |
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Pages | 76 |
Number of pages | 1 |
DOIs | |
Publication status | Published - 1-Oct-2016 |
Keywords
- cost effectiveness analysis
- experimental model
- follow up
- high risk patient
- hospital admission
- human
- intervention study
- Netherlands
- prediction
- prevention
- psychosis