Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Psychiatry

Sec. Mood Disorders

Factors influencing patient decision-making on a multimodal precision medicine algorithm for depression: A qualitative European multicenter study of the PROMPT consortium

Provisionally accepted
  • 1Department of Psychiatry, University of Münster, Münster, Germany
  • 2Department of General Internal Medicine and Psychosomatic, University Hospital Heidelberg, Heidelberg, Germany
  • 3Department Hamm 2, Hochschule Hamm-Lippstadt, Hamm-, Germany
  • 4Department of Adult Psychiatry, Poznan University of Medical Sciences,, Poznan, Poland
  • 5Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
  • 6Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
  • 7Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
  • 8Genetics Unit, San Giovanni di Dio Fatebenefratelli Center (IRCCS), Brescia, Italy
  • 9Department of Pharmacology, Dalhousie University, Halifax, Canada
  • 10Unit of Clinical Psychiatry, Department of Medicine, University Hospital Agency of Cagliari, Cagliari, Italy
  • 11Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
  • 12Paris Brain Institute (ICM), National Centre for Scientific Research (CNRS), Paris, France
  • 13Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
  • 14Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
  • 15Section of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
  • 16Department of Psychiatry, Dalhousie University, Halifax, Canada
  • 17Florey Institute of Neuroscience and Mental Health, Parkville, Australia
  • 18Department of Psychiatry, University of Melbourne, Parkville, Australia

The final, formatted version of the article will be published soon.

Background: Precision medicine promises to improve treatment outcomes by tailoring interventions to patients' individual characteristics. However, the use of precision medicine tools requires patient acceptance, which remains underexplored. This qualitative study investigated factors influencing patient perspectives on a multimodal precision medicine algorithm to predict antidepressant response in patients suffering from Major Depressive Disorder (MDD). Methods: To explore patients' perspectives on the use of a multimodal algorithm, semi-structured focus groups were conducted with 44 patients diagnosed with moderate to severe depression across three European sites (Germany, Poland, Italy) in the PROMPT study. Discussions were transcribed and translated into English for analysis. A qualitative, structured content analysis approach was then used to analyse the data. Results: Patients' perspectives on using a multimodal algorithm in MDD revealed a complex interplay of decision-making factors: while perceived clinical benefits, such as a reduction in trial-and-error prescribing and reassurance, promoted acceptance of the algorithm, concerns about cost, waiting time and the emotional impact of unfavourable results tended to discourage acceptance. Patients' general beliefs about mental illness and its treatment shaped their attitudes toward the application of the algorithm. Many participants emphasised the importance of trust in physicians and preferred testing within the context of an established therapeutic relationship. Misconceptions about the algorithm's accuracy and capabilities, and fears of medical reductionism, were common. Conclusions: While patients are open to the use of a multimodal precision medicine algorithm for MDD, they emphasised the need for individualised, transparent communication and emotional support. The results highlight the importance of patient-centered communication strategies and guidelines for the ethical implementation of precision psychiatry.

Keywords: precision medicine, precision psychiatry, Predictive algorithm, treatment resistance, Antidepressants, Focus Groups, Major Depressive Disorder

Received: 25 Sep 2025; Accepted: 11 Nov 2025.

Copyright: © 2025 Glaser, Zang, Kelch, Jörgens, Stonner, Wahner, Ferensztajn-Rochowiak, Kopeć, Contu, Paribello, Pinna, Dierssen, Gennarelli, Manchia, Minelli, Perera Bel, Potier, Rybakowski, Sanz, Squassina and Baune. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Bernhard T Baune, bernhard.baune@uni-muenster.de

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.