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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| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
6 August 2022
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| In: |
Psychiatry research
Year: 2022, Volume: 316, Pages: 1-8 |
| ISSN: | 1872-7123 |
| DOI: | 10.1016/j.psychres.2022.114773 |
| Online Access: | Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.psychres.2022.114773 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S0165178122003675 |
| Author Notes: | 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 |
| Summary: | 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 with a schizophrenia spectrum disorder (PSSDs) are scarce. The objective of this study was to explore the feasibility of digitally acquired self-report assessments of risk and symptom profiles at the time of admission into inpatient treatment in an age-representative sample of hospitalized PSSDs. We investigated the required support, the data entry pace, and the subjective user experience. |
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| Item Description: | Gesehen am 20.12.2022 |
| Physical Description: | Online Resource |
| ISSN: | 1872-7123 |
| DOI: | 10.1016/j.psychres.2022.114773 |