Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/30832
Title: Symptom monitoring based on digital data collection during inpatient treatment of schizophrenia spectrum disorders - A feasibility study.
Austin Authors: Herpertz, Julian;Richter, Maike Frederike;Barkhau, Carlotta;Storck, Michael;Blitz, Rogério;Steinmann, Lavinia A;Goltermann, Janik;Dannlowski, Udo;Baune, Bernhard T;Varghese, Julian;Dugas, Martin;Lencer, Rebekka;Opel, Nils
Affiliation: Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Australia..
Institute for Translational Psychiatry, University of Münster, Münster, Germany..
Department of Psychiatry, University of Münster, Münster, Germany..
The Florey Institute of Neuroscience and Mental Health
Department of Psychiatry, Jena University Hospital/Friedrich-Schiller-University Jena, Jena, Germany..
Institute of Medical Informatics, University of Münster, Münster, Germany..
Institute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany..
Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany..
Interdisciplinary Centre for Clinical Research Münster, University of Münster, Münster, Germany..
Issue Date: 6-Aug-2022
Date: 2022
Publication information: Psychiatry Research 2022; 316: 114773
Abstract: 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. Findings were compared with those of patients with an affective disorder (PADs). Of 82 PSSDs who were eligible for inclusion, 59.8% (n=49) agreed to participate in the study, of whom 54.2% (n=26) could enter data without any assistance. Inclusion rates, drop-out rates, and subjective experience ratings did not differ between PSSDs and PADs. Patients reported high satisfaction with the assessment. PSSDs required more support and time for the data entry than PADs. Our results indicate that digital data collection is a feasible and well-received method in PSSDs. Future clinical and research efforts on digitized assessments in psychiatry should include PSSDs and offer support to reduce digital exclusion.
URI: https://ahro.austin.org.au/austinjspui/handle/1/30832
DOI: 10.1016/j.psychres.2022.114773
ORCID: 0000-0001-6548-426X
Journal: Psychiatry Research
PubMed URL: 35994863
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/35994863/
Type: Journal Article
Subjects: Digital assessment
Electronic health record
Patient-reported outcome
Psychiatry
Psychosis
Risk and symptom profiles
Appears in Collections:Journal articles

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