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

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 t...

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Main Authors: Alexandra Philipsen, Thomas Frodl, Georg Schomerus, Michael Bauer, Martin Lambert, Jürgen Gallinat, Lisa Tlach, Frank Jessen, Gerd Schulte-Körne, Uwe Herwig, Andreas J Fallgatter, Andrea Pfennig, Tobias Banaschewski, Christiane Woopen, Michael Huss, Tobias Renner, Hans-Henning Flechtner, Christoph Correll, Marcel Romanos, Juliane Köberlein-Neu, Johann Steiner, Natalia Wege, Andreas Heinz, Irene Neuner, Stefan Borgwardt, Eva Meisenzahl, Nikolaos Koutsouleris, Alkomiet Hasan, Sebastian Walther, Georg Juckel, Andreas Meyer-Lindenberg, Barbara Hutz, Stephan Bender, Stefanie J Schmidt, Joseph Kambeitz, Maximilian Schneider, Trutz Bommhardt, Jens Peschl, Frauke Schultze-Lutter, Jule Sauer, Jannike Zimmermann, Sarah Shishechian, Jenny Spahlholz, Christian Sander, Barbara Kranenburg, Thomas Jaschinski-Weber, Marcus Hoppe, Jürgen Medenbach, Sonja Botterweck, Martina Deiß, Britt Kilian, Katrin Knopp, Ursula Leyens, Inga Meyhöfer, Viviane Wolf, Milenko Kujovic, Devin Mollamehmetoglu, Naweed Osman, Christian Theisen, Marius Wrulich, Volker Reissner, Miriam Frings, Marija Nikolic, Santiago Cabrera, Andreas Stöhr, Amke Smid, Sarah Brauckmann, Nadja Drusenheimer, Daniela Lieberz, Christian Calles, Andreas Hippe, Alessa Grand, Puyan Heindl, Lenka Krcmar, Natalie Matti, Lisa-Maria Neuner, Caroline Plett, Anne Ruef, Jana von Trott zu Solz, Clara Weyer, Christopher Eberle, Richard Gaus, Selina Mandl, Lana Kambeitz-Ilankovic, Amelie Conrad, Marleen Gersie, Paula Mengelkamp Vera Lennartz, Sophie Müller, Marlene Rosen, Susanne Inanloo-Shavikloo, Alexia Synetou, Julian Wenzel, Elena Borovik, Johanna Loy, Johanna Kim, Heidrun Lioba Wunram, Janina Michel, Hanna Schwinde, Henrik Rohner, Sven Wasserthal, Chiara van der Coelen, Jule Daniels, Luisa Jung, Martin Gladbach, Maximilian Huppertz, Ulf Thiemann, Sandra Hackler, Darja Gesell, Nele Bijlard, Udo Dannlowski, Antonia Böthig, Janik Goltermann, Dominik Grotegerd, Georg Romer, Linda Meredith Bonnekoh, Robert Göder, Ellen Quant, Fanny Wiesner, Manuel Munz, Mareike Euent, Jan-Henrik Rieck, Christina Andreou, Marco Heide, Sofia Eickhoff, Petra Reiring, Kris Sievert, Leon Franzen, Oliver Soyka, Michael Lipp, Mareike Kallmeyer, Mara Johannsen, Sarah Kittel-Schneider, Matthias Nieberler, Georg Ziegler, Catherina Klüpfel, Melanie Schroll, Larissa Schulz, Christiane Rieß, Hans-Christoph Aster, Julia Geissler, Florian Schlagenhauf, Niuscha Ramona Arlt, Zahra Assadi, Esther Quinlivan, Teresa Katthagen, Jakob Kaminski, Paul Jasper Wirsching, Peter J Uhlhaas, Lilith Becher, Philine Köln, Anastassia von Lingen, Clara Naujoks, Fabiola Henrike Heuer, Antonia Wasserscheid, Enise Irem Incesoy, Sophia Götze, Claudia Rehe, Anne Strehlow, Sandra Weigand, Miriam Wiegel, Stefanie Seidenbecher, Rico Krämer, Anett Riedel, Jessica Kesik, Aila Katharina Rau, Antonia Ritters, Oliver Dohrn, Gereon Schnellbächer, Knut Hoffmann, Vera-Estelle Daly, Rena Sophie Birner, Emese Bori-Kovács, Lisann Cöppicus, Carla Lenders, Katharina Meister, Daniela Alejandra Guzmán Vega, Johannes Gabriel, Abdul Rahman Ghanam, Christopher Gramsch, Thomas Jedamzik, Marc Wahl, Dusan Hirjak, Désirée Fink, Camila Malkewitz, Sandra Franco Palacio, Emanuel Schwarz, Sebastian Volkmer, Jonas Daub, Kathrin Becker, Alexander Häge, Paul Palm, Medea Eleftheriadis, Bettina Klos, Christoph Gerth, Julia Boettcher, Saskia Neumann, Florianne Sammoum, Laura Seefeldt, Niklas Feil, Stefan Klingberg, Magdalena Haupt, Svenja Unsöld, Anne Rau, Laura Krüger, Patrick Steinwand, Gottfried Maria Barth, Janina Fausel, Theresa Huber, Elena Müller, Melinda Mroß, Eusebia Schäfer, Daniela Mier, Sarah Stumpp, Ludwig Bley, Peter Diedrich, Alexander Wolber, María Zoll, Simon Senner, Anja Christine Rohenkohl, Alicia Balzar, Schirin Gellert, Pia Sowada, Sarah Hohmann, Marie Mey, Ruth Pöll, Eva Mennigen, Ilka Boehm, Kyra Bröckel-Bundt, Mareen Gliemann, Cathleen Köpke, Birgit Maicher, Christina Berndt, Fabian Huth, Andreas Bechdolf, Karolina Leopold, Dilek Genccagj, Laura van Hardenberg, Laura Holzner, Sibel Kanlidere, Nora Schumacher, Olga Shmuilovich, Anja Baumgartner, Sophie-Kathrin Greiner, Noa Stella Niemann, Sarah Riedlinger, Anna Martina Strasser, Thomas Görlitz, Wolfgang Strube
Format: Article
Language:English
Published: BMJ Publishing Group 2025-06-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/15/6/e103151.full
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Summary: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.Methods and analysis The health economic evaluation has been designed alongside a 12-month multicentre randomised controlled trial comparing CARE with treatment as usual from both payer and societal perspectives. An implementation cost analysis will complement the evaluation, and long-term consequences beyond the trial will be explored descriptively. Based on a literature review, an initial economic logic model will guide subsequent analyses by depicting CARE’s programme theory.The cost-effectiveness assessment will include averted cases of manifest psychosis and quality-adjusted life-years using the EuroQol 5-Dimensions 3-Level instrument. Other effectiveness outcomes will also be incorporated into a cost–consequence analysis. Cost-effectiveness acceptability curves reflecting statistical uncertainty will be constructed, incorporating various payer and societal willingness-to-pay values. The implementation cost analysis will follow a mixed-methods approach to capture facility-specific costs.A dark logic model, emphasising negative outcomes, will be developed to investigate long-term consequences. Further, the initial economic logic model will be refined using trial data and expert interviews. This comprehensive approach aims to provide decision-makers not only with evidence on the cost-effectiveness of CARE, but also with a broader understanding of the implications of the intervention.Ethics and dissemination The study has received ethical approval and plans to disseminate its findings through publication in a peer-reviewed journal and conference presentations.Trial registration number NCT05813080.
ISSN:2044-6055