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

Dannlowski U.; Goltermann J.; Varghese J.; Baune B.T.; Lencer R.; Dugas M.; Opel N.; Herpertz J.; Richter M.F.; Barkhau C.; Storck M.; Blitz R.; Steinmann L.A.

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

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.

Details zur Publikation

FachzeitschriftPsychiatry Research
Jahrgang / Bandnr. / Volume316
StatusVeröffentlicht
Veröffentlichungsjahr2022
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1016/j.psychres.2022.114773
Link zum Volltexthttps://api.elsevier.com/content/abstract/scopus_id/85136200698
StichwörterRisk and symptom profiles; Psychosis; Psychiatry; Patient-reported outcome; Digital assessment; Electronic health record

Autor*innen der Universität Münster

Dugas, Martin
Institut für Medizinische Informatik
Storck, Michael
Institut für Medizinische Informatik
Varghese, Julian
Institut für Medizinische Informatik