Publications by authors named "Ivo Rollmann"

Background: Human trafficking is a human rights violation and urgent public health challenge. It involves the exploitation of a person by means of force, intimidation or deceit and causes severe health risks. Though it occurs all over the world, its true extent is still unknown.

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Background: Adverse childhood experiences were previously identified as relevant risk factors for the development of anxiety disorders. Furthermore, anxiety disorders were shown to be associated with impairments of personality functioning. The objective of this study was to investigate adverse and protective childhood experiences as well as personality functioning, as defined by the Operationalized Psychodynamic Diagnosis system, as potential predictors for the speed of recovery during psychotherapy for patients with anxiety disorders.

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To investigate the effects of adverse and protective childhood experiences on symptom improvement in outpatient psychotherapy. We evaluated  = 648 completed outpatient psychodynamic psychotherapies. First, we estimated the rate of symptom improvement for each patient using a two-stage hierarchical linear model.

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Purpose: Peer-assisted learning has become an integral part within medical education and has been proven to be effective in teaching medical skills. Cognitive and social congruence are important factors that explain the effectiveness of peer-assisted learning. However, although theory suggests this, there is no study to date that demonstrates that students and tutors agree upon the level of cognitive and social congruence.

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Background: Current research has emphasized the role of structural integration of personality and childhood experiences for the understanding of anxiety disorders. In this study, we examined the relationship between anxiety disorders (generalized anxiety disorder vs. panic disorder vs.

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Background: Mental comorbidities of physically ill patients lead to higher morbidity, mortality, health-care utilization and costs.

Objective: The aim of the study was to investigate the impact of mental comorbidity and physical multimorbidity on the length-of-stay in medical inpatients at a maximum-care university hospital.

Design: The study follows a retrospective, quantitative cross-sectional analysis approach to investigate mental comorbidity and physical multimorbidity in internal medicine patients.

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Introduction: Although outpatient psychodynamic psychotherapy is effective, there has been no improvement in treatment success in recent years. One way to improve psychodynamic treatment could be the use of machine learning to design treatments tailored to the individual patient's needs. In the context of psychotherapy, machine learning refers mainly to various statistical methods, which aim to predict outcomes (e.

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