Background

The project and network CARE is funded by the Innovationsausschuss beim Gemeinsamen Bundesausschuss (G-BA), with 9.5 Million Euros. The Federal ministry of health is responsible for legal supervision. CARE includes 28 partners in 9 federal states of Germany.

The main goal of the Innovationsfunds of the G-BA is to further develop the quality of care in Germany’s statutory health insurance system. The funding volume amounts to 300 million Euros per year from 2016 to 2019 and 200 million Euros per year from 2020 to 2024. Projects and new forms of care are funded that, in particular are aimed to improve existing care, improve cross-sectoral care, go beyond the current standard of care, and have a high potential for implementation.

The Project

The Starting Points of the CARE-study

These are based on the following facts in the field of indicated prevention of psychosis:

  • There are well-known operationalized criteria of the clinical high-risk (CHR) stage for psychosis.
  • There are validated criteria for prognosis. They were developed in the PRONIA project and validated on external data.
  • Therapy has been proven to be highly effective as indicated prevention in CHR patients. Cognitive behavioral therapy is helpful in preventing the onset of psychosis.

Still, there is a lack of indicated prevention in Germany – and Europe – as there are hardly any specialized early detection services, that offer efficient indicated prevention for CHR patients.

What do we want to achieve?

The current care system in Germany – also in Europe – often leads to uncoordinated help-seeking behavior with very cost-intensive services and examinations with a simultaneous lack of therapeutic success in the field of psychosis. The goal of the CARE-study is, for the first time, to provide an efficient technical staged treatment pathway, in which the efficiency of both, the specific diagnostic process and the individual and specific therapy adapted to the diagnostic process, is increased. This new form of care is currently undergoing clinical trials. CARE intends to prevent the transition of patients into manifest psychosis and to improve the prognosis, while demonstrating lower healthcare costs in the population at risk.

The CARE Schema

The CARE Disease Management Program under Development

The future CARE Schema will include a new form of computer-based diagnostic and risk-adapted treatment. This includes in-depth clinical diagnostics, two AI-based risk evaluations with

1) a quantified individual risk evaluation of the conversion into psychosis and

2) a individual quantified risk evaluation of further decline of social functioning in the next 12 Months of the patient. 

This is connected to a specific newly developed quantified risk-evaluation -adapted intervention (IPPI) for high-risk patients of psychosis (based on cognitive Therapy) and medical treatment. The IPPI therapy focuses on the main and specific domains of the high-risk state of psychosis.

Translation Aspects of the ongoing Study

The term „translation“ refers to the “bench-to-bedside” enterprise: For this area of research, the endpoint is the production of a promising new treatment that can be utilized clinically or commercialized (“brought to market”).

Many factors are important for a successful translation. The key requirement consists of a tight network of partners.

Psychiatric disorders mainly develop in adolescence and young adulthood. Therefore, a tight cooperation between child and adolescent psychiatry and adult psychiatry to establish the strong national network CARE was the most important element. For the first time, interdisciplinary Early Recognition and Therapy Centers (“Früherkennungszentren”, FETZ) for child and adolescent psychiatry and adult psychiatry formed.

Further, a strong support from both, national professional societies, adolescent and adult psychiatry, is of high value.

A strong support from the stakeholders of our health insurances – in our network the partners of the Techniker Krankenkasse NRW, the DAK-Gesundheit and AOK Rheinland/Hamburg – is absolutely needed, and their conviction that the translation can succeed.

Early recognition and prevention is not possible without a tight cooperation with experts of ethics in medicine. This was implemented with the center of life ethics Bonn and experts of social psychiatry from the university of Leipzig.

Finally, we are linked in a tight cooperation with the departments of health economics, university Wuppertal and the health insurances with their databases and patients files.

Outlook: Future Program of a preventative Psychiatry

The network CARE represents the future program of preventive psychiatry. This includes:

  • future high diagnostic standards and trainings in early recognition of psychosis,
  • future implementation of predictive models with computer-based medical devices that support the approach of personalized preventive psychiatry
  • future trainings of AI-based diagnostics and ethical appropriate communication
  • future high therapeutic standards and supervision of interventions
  • future privacy and technical documentation

Collaborations

Our Offer

What can we offer to other Researchers and Clinicians in Germany and other countries?

  • Cooperations in research and
  • Cooperations regarding supply structures in psychiatric health care and preventive psychiatry
  • Consulting

Publications

TitelAutorenJahrErschienen inVol/Seiten
Spontaneous labelling and stigma associated with clinical characteristics of peers ’at-risk’ for psychosis.Anglin, D. M., Greenspoon, M. I., Lighty, Q., Corcoran, C. M., & Yang, L. H. 2014Early intervention in psychiatry8(3), 247-252
Preventing progression to first-episode psychosis in early initial prodromal states.Bechdolf, A., Wagner, M., Ruhrmann, S., Harrigan, S., Putzfeld, V., Pukrop, R., … & Klosterkötter, J.2012The British Journal of Psychiatry200(1), 22-29
The Science of Prognosis in Psychiatry: A ReviewFusar-Poli, P., Hijazi, Z., Stahl, D., & Steyerberg, E. W. 2018 JAMA psychiatry75(12), 1289-1297
Expert-augmented machine learningGennatas, E. D., Friedman, J. H., Ungar, L. H., Pirracchio, R., Eaton, E., Reichmann, L. G., … & Valdes, G.2020Proceedings of the National Academy of Sciences117(9), 4571-4577
Cost-effectiveness of preventing first-episode psychosis in ultra-high-risk subjects: multicentre randomized controlled trialIsing, H. K., Smit, F., Veling, W., Rietdijk, J., Dragt, S., Klaassen, R. M. C., … & Van Der Gaag, M. 2015Psychological medicine45(7), 1435-1446
Early recognition and disease prediction in the at-risk mental states for psychosis using neurocognitive pattern classificationKoutsouleris, N., Davatzikos, C., Bottlender, R., Patschurek-Kliche, K., Scheuerecker, J., Decker, P., … & Meisenzahl, E. M.2012Schizophrenia bulletin 38(6), 1200-1215
Multivariate patterns of brain-cognition associations relating to vulnera-bility and clinical outcome in the at-risk mental states for psychosisKoutsouleris, N., Gaser, C., Patschurek‐Kliche, K., Scheuerecker, J., Bottlender, R., Decker, P., … & Meisenzahl, E. M.2012Human brain mapping33(9), 2104-2124
Personalisierte Medizin in der Psychiatrie und Psychotherapie.Koutsouleris, N., Ruhrmann, S., Falkai, P., & Maier, W. 2013Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz56(11), 1522-1530
Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for PsychosisKoutsouleris, N., Kambeitz-Ilankovic, L., Ruhrmann, S., Rosen, M., Ruef, A., Dwyer, D. B., … & Pronia Consortium. 2018JAMA psychiatry75(11), 1156-1172
Use of neuroanatomical pattern classification to identify subjects in at-risk mental states and predict disease transitionKoutsouleris, N., Meisenzahl, E. M., Davatzikos, C., Bottlender, R., Frodl, T., Scheuerecker, J., … & Gaser, C.2009Archives of general psychiatry66(7), 700-712
Do biogenetic causal beliefs reduce mental illness stigma in people with mental illness and in mental health professionals?Larkings, J. S., & Brown, P. M.2018International Journal of Mental Health Nursing27(3), 928-941
The psychosis-risk syndrome: handbook for diagnosis and follow-upMcGlashan, T., Walsh, B., & Woods, S.2010Oxford University Press.
Früherkennung und Prävention schizophrener StörungenMeisenzahl, E., Walger, P., Schmidt, S. J., Koutsouleris, N., & Schultze-Lutter, F.2020Der Nervenarzt91(1)
Reliability of telephone assessments of at-risk criteria of psychosis: a comparison to face-to-face interviewsMichel, C., Schimmelmann, B. K. E., Kupferschmid, S., Siegwart, M., & Schultze-Lutter, F.2014Schizophrenia Research153(1-3), 251-253
Stigma as a stressor and transition to schizophrenia after one year among young people at risk of psychosis.Rüsch, N., Heekeren, K., Theodoridou, A., Müller, M., Corrigan, P. W., Mayer, B., … & Rössler, W.2015Schizophrenia research166(1-3), 43-48
Well-being among persons at risk of psychosis: the role of self-labeling, shame, and stigma stress.Rüsch, N., Corrigan, P. W., Heekeren, K., Theodoridou, A., Dvorsky, D., Metzler, S., … & Rössler, W.2014Psychiatric Services65(4), 483-489
Integrierte modulare präventive psychologische Intervention bei erhöhtem PsychoserisikoSchmidt SJ, et al.im DruckSpringer-Verlag, Wien
EPA guidance on the early intervention in clinical high risk states of psychoses.Schmidt, S. J., Schultze-Lutter, F., Schimmelmann, B. G., Maric, N. P., Salokangas, R. K. R., Riecher-Rössler, A., … & Ruhrmann, S.2015European psychiatry30(3), 388-404
EPA guidance on the early detection of clinical high risk states of psychoses.Schultze-Lutter, F., Michel, C., Schmidt, S. J., Schimmelmann, B. G., Maric, N. P., Salokangas, R. K. R., … & Klosterkötter, J.2015 European Psychiatry30(3), 405-416
Nutzen-Risiko-Abschätzung bei der Prävention psychischer StörungenSchultze-Lutter, F., & Michel, C2017In: Kloster-kötter J, Maier W (Hrsg) Handbuch Präventive Psychiatrie. 399-418
Prevalence and clinical relevance of interview-assessed psychosis risk symptoms in the young adult communitySchultze-Lutter, F., Michel, C., Ruhrmann, S., & Schimmelmann, B. G.2018Psychological medicine48(7), 1167-1178
Schizophrenia Proneness Instrument, Adult version (SPI-A)Schultze-Lutter, F., Addington, J., Ruhrmann, S., & Klosterkötter, J.2007 Rome: Giovanni Fioriti
Schizophrenia Proneness Instrument, Child & Youth version (SPI-CY)Schultze-Lutter, F., & Koch, E.2010Roma, Italy. Giovanni Fioriti Editore
Different biogenetic causal explanations and attitudes towards persons with major depression, schizophrenia and alcohol dependence: Is the concept of a chemical imbalance beneficial?Speerforck, S., Schomerus, G., Pruess, S., & Angermeyer, M. C.2014Journal of affective disorders168, 224-228
Prediction models need appropriate internal, internal–external, and external validationSteyerberg, E. W., & Harrell, F. E. 2016Journal of clinical epidemiology69, 245-247
How well do health professionals interpret diagnostic information? A systematic review.Whiting, P. F., Davenport, C., Jameson, C., Burke, M., Sterne, J. A., Hyde, C., & Ben-Shlomo, Y.2015BMJ open5(7), e008155
The size and burden of mental disorders and other disorders of the brain in EuropeWittchen, H. U., Jacobi, F., Rehm, J., Gustavsson, A., Svensson, M., Jönsson, B., … & Steinhausen, H. C.2011European neuropsychopharmacology21(9), 655-679
Stigma related to labels and symptoms in individuals at clinical high-risk for psychosis.Yang, L. H., Link, B. G., Ben-David, S., Gill, K. E., Girgis, R. R., Brucato, G., … & Corcoran, C. M.2015Schizophrenia research168(1-2), 9-15
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