Krayter, Stephan
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Publication Access status: Open Access , Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementationInappropriate antimicrobial use, such as antibiotic intake in viral infections, incorrect dosing and incorrect dosing cycles, has been shown to be an important determinant of the emergence of antimicrobial resistance. Artificial intelligence-based decision support systems represent a potential solution for improving antimicrobial prescribing and containing antimicrobial resistance by supporting clinical decision-making thus optimizing antibiotic use and improving patient outcomes.Source Type:Article1 5 - Some of the metrics are blocked by yourconsent settings
Publication Access status: Metadata only , Developing a competency model for telerehabilitation therapists and patients: Results of a cross-sectional online surveyTelerehabilitation is a new form of care that provides digital access to rehabilitative services. However, it places many demands on the users–both patients and therapists. The aim of this study was to determine the requirements and competencies needed for successful usage, identify person- and context-specific differences and develop a competency model. We conducted two cross-sectional online surveys with telerehabilitation patients and therapists from Germany during June-August 2023. The adjusted dataset of 262 patients and 73 therapists was quantitatively analyzed including descriptive and bivariate statistics. Group differences were assessed using t-tests or U-tests. The development of two telerehabilitation competency models was guided by a competency modeling process. The surveys show that patients need to gather program information before program start, follow therapist’s instructions, adapt therapy, deal with health problems, as well as motivate and remind oneself during the program. Therapists need to inform and instruct patients, adapt therapy, carry out technical set-up and support, give medical support, guide and monitor patients, give feedback, motivation and reminder, as well as documentation. The competency model for patients includes 23 and the model for therapists 24 core competencies, including various required areas of knowledge, skills, attitudes and experiences. The three most relevant competencies for patients are self-interest in the program, self-awareness and self-management. Also, disease severity, age, and language abilities can enable successful execution. Program type, technology affinity, and age significantly influence the rated relevance of competencies. The three most relevant competencies for therapists are therapeutic-professional skills, medical and telerehabilitation knowledge. The type of therapy practiced and language abilities can enable successful execution. Therapist’s age, technology affinity, and job type significantly impact the rated relevance. The models should be applied to develop tailored training formats and support decisions on the selection of suitable therapists and patients for telerehabilitation.Source Type:Article2 - Some of the metrics are blocked by yourconsent settings
Publication Access status: Open Access , Medicalization and Psychologization in scientific and public discourses - The perception of poverty, unemployment and childhood development(2025)In this dissertation, I examine processes of medicalization and psychologization in different discourses. Medicine and psychology have played a substantial role in describing social conditions, which is true in a variety of contexts. From sci- entific discourses, in which knowledge is generated and discussed to public dis- courses like mass media or political debates. A central concern of this disserta- tion is the mechanism by which such processes occur, and which actors are in- volved. For the scientific discourse, I analyzed which disciplines are leading in the international research on poverty in the Web of Science (WoS) between 1956-2017 and which changes in content are thus evident over time. In the (mass) media discourse based on different daily and weekly newspapers in Ger- many, I examined how the reporting of the last 25 years on unemployment and childhood is shaped and whether these two areas are more strongly linked to medical and psychological issues. In a further contribution, I focused on the COVID-19 pandemic. Since external influences may also cause medicalization and psychologization tendencies to emerge, I analyzed to what extent school closures in Germany have been a driver for an increased interest in mental health among children and adolescents. Here I was able to show that this was indeed the case and that, in addition to the purely epidemiological aspects of the pan- demic, threats to mental health as a side effect of the non-pharmaceutical measures became more prominent. Overall, I show that processes of medicalization and psychologization are traceable in various discourses through different actors and that external influ- ences like the COVID-19 pandemic can play a significant role.Source Type:Doctoral Thesis1 5
