Enhancing early detection and treatment of psychosis in Germany: a protocol for the health economic evaluation of an artificial intelligence-guided complex intervention.

Journal: BMJ open
Published Date: Jun 18, 2025

Abstract

INTRODUCTION: Psychosis, characterised by chronic symptoms often emerging in youth, imposes a substantial burden on individuals and healthcare systems. While early detection and intervention can mitigate this burden, there is limited evidence on the cost-effectiveness of such approaches. To address this lack of evidence, this study protocol outlines the health economic implications of an artificial intelligence (AI)-based intervention, the Computer-Assisted Risk-Evaluation (CARE), designed to prevent psychosis. The intervention uses AI technologies to enhance the diagnosis and treatment quality for individuals at high risk of psychosis.

Authors

  • Trutz Bommhardt
    Center for Health Economics and Health Services Research, University of Wuppertal Schumpeter Faculty of Management and Economics - School of Business and Economics, Wuppertal, Germany bommhardt@wiwi.uni-wuppertal.de.
  • Jens Peschl
    Psychiatry and Psychotherapy, LVR-Klinikum Düsseldorf - Clinics of the Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
  • Frauke Schultze-Lutter
    Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.
  • Nikolaos Koutsouleris
    Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
  • Eva Meisenzahl
    Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany.
  • Juliane Köberlein-Neu
    Center for Health Economics and Health Services Research, University of Wuppertal Schumpeter Faculty of Management and Economics - School of Business and Economics, Wuppertal, Germany.

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