Symptom monitoring based on digital data collection during inpatient treatment of schizophrenia spectrum disorders$fa feasibility study

Digital acquisition of patients’ self-reports on individual risk factors and symptom severity represents a promising, cost-efficient, and increasingly prevalent approach for standardized data collection in psychiatric clinical routine. Yet, studies investigating digital data collection in patients w...

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Hauptverfasser: Herpertz, Julian (VerfasserIn) , Richter, Maike Frederike (VerfasserIn) , Barkhau, Carlotta (VerfasserIn) , Storck, Michael (VerfasserIn) , Blitz, Rogério (VerfasserIn) , Steinmann, Lavinia A. (VerfasserIn) , Goltermann, Janik (VerfasserIn) , Dannlowski, Udo (VerfasserIn) , Baune, Bernhard T (VerfasserIn) , Varghese, Julian (VerfasserIn) , Dugas, Martin (VerfasserIn) , Lencer, Rebekka (VerfasserIn) , Opel, Nils (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 6 August 2022
In: Psychiatry research
Year: 2022, Jahrgang: 316, Pages: 1-8
ISSN:1872-7123
DOI:10.1016/j.psychres.2022.114773
Online-Zugang:Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.psychres.2022.114773
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S0165178122003675
Volltext
Verfasserangaben:Julian Herpertz, Maike Frederike Richter, Carlotta Barkhau, Michael Storck, Rogério Blitz, Lavinia A. Steinmann, Janik Goltermann, Udo Dannlowski, Bernhard T Baune, Julian Varghese, Martin Dugas, Rebekka Lencer, Nils Opel

MARC

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