Publications by authors named "S Mertens"
Background: Early detection of psychological problems is crucial to prevent chronic progression. The Psych-U study evaluated the added value of structured assessment of psychological issues during U-screenings compared to routine screenings without such assessment.
Methods: In a cluster-randomized controlled design, a two-arm intervention group (IG; Strengths and Difficulties Questionnaire, SDQ, and Mannheimer Elternfragebogen, MEF) was compared to a control group (CG).
Aim: To examine in hospitals whether head nurses' humility impacts nurses' affective commitment and explore the role of safety, trust and participative communication.
Design: A cross-sectional survey design.
Methods: In 2023, we assessed the perceptions of 536 nurses, nested in 103 wards of 12 hospitals.
In patients with the rare adult-type granulosa cell tumors (aGCT), surgery is the primary treatment for both primary and recurrent disease. In cases of inoperable disease, systematic therapy is administered, but variable response rates and drug resistance complicate predicting the most effective therapy. Drug screen testing on patient-derived cell lines may offer a solution.
View Article and Find Full Text PDF[Fatigue after COVID-19 disease associated with depression and anxiety in insured persons from healthcare and social professions].
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz
November 2024
Article Synopsis
- - The study investigates the link between fatigue and mental health issues like depression and anxiety in post-COVID syndrome (PCS) patients compared to fully recovered COVID-19 cases.
- - Conducted with 860 participants, the research utilized a longitudinal approach to assess the presence of fatigue and mental health symptoms over time, revealing significant effects particularly in those with PCS.
- - Findings indicate a mutual relationship between fatigue and mental health concerns, suggesting that PCS patients may improve through psychotherapeutic interventions aimed at managing fatigue and mitigating depression/anxiety.
Given the current state of medical artificial intelligence (AI) and perceptions towards it, collaborative systems are becoming the preferred choice for clinical workflows. This work aims to address expert interaction with medical AI support systems to gain insight towards how these systems can be better designed with the user in mind. As eye tracking metrics have been shown to be robust indicators of usability, we employ them for evaluating the usability and user interaction with medical AI support systems.
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