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733 results on '"Jäger, Matthias"'

1. [Cantonal Differences in The Implementation of Involuntary Admission in Switzerland].

Author

Jäger, Matthias, Hotzy, Florian, Traber, Rafael, Morandi, Stéphane, Spiess, Manuela, Ruflin, Regula, Theodoridou, Anastasia, and Schneeberger, Andres

Subjects
Humans, Switzerland, Germany, Mental Disorders, Risk Factors, Hospitals, Psychiatric, Commitment of Mentally Ill
Abstract

OBJECTIVE: To examine sociodemographic and clinical characteristics of persons hospitalized in five psychiatric hospitals from regions with different structural characteristics compared with persons hospitalized voluntarily. METHODS: Descriptive analyses of routine data on approximately 57000 cases of 33000 patients treated for a primary ICD-10 psychiatric diagnosis at one of the participating hospitals from 2016 to 2019. RESULTS: Admission rates, length of stay, rates of further coercive measures, sociodemographic and clinical characteristics of the affected persons differ between the different regions. CONCLUSION: There are considerable regional differences between regulations and implementation of the admission procedures and the sample. Causal relationships between regional specifics and the results cannot be inferred.

Published
2024

3. Pr3+-doped YPO4 nanocrystal embedded into an optical fiber

Author

Dorosz, Dominik, Kochanowicz, Marcin, Valiente, Rafael, Diego-Rucabado, Andrea, Rodríguez, Fernando, Siñeriz-Niembro, Nuria, Espeso, José I., Lesniak, Magdalena, Miluski, Piotr, Conzendorf, Sylvia, Posseckardt, Juliane, Liao, Zhongquan, Jimenez, Gloria Lesly, Müller, Robert, Lorenz, Martin, Schwuchow, Anka, Leich, Martin, Lorenz, Adrian, Wondraczek, Katrin, and Jäger, Matthias

Published
2024
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6. Mental health service areas in Switzerland

Author

Stulz, Niklaus, Jörg, Reto, Reim‐Gautier, Constanze, Bonsack, Charles, Conus, Philippe, Evans‐Lacko, Sara, Gabriel‐Felleiter, Kerstin, Heim, Eva, Jäger, Matthias, Knapp, Martin, Richter, Dirk, Schneeberger, Andres, Thornicroft, Graham, Traber, Rafael, Wieser, Simon, Tuch, Alexandre, and Hepp, Urs

Subjects
Clinical and Health Psychology, Biomedical and Clinical Sciences, Clinical Sciences, Psychology, Health Services, Clinical Research, Brain Disorders, Mental Health, 8.1 Organisation and delivery of services, Health and social care services research, Mental health, Good Health and Well Being, Humans, Catchment Area, Health, Switzerland, Mental Health Services, Mental Disorders, geography, psychiatry, service use, small area analysis, Psychiatry, Clinical sciences, Clinical and health psychology
Abstract

ObjectivesSmall area analysis is a health services research technique that facilitates geographical comparison of services supply and utilization rates between health service areas (HSAs). HSAs are functionally relevant regions around medical facilities within which most residents undergo treatment. We aimed to identify HSAs for psychiatric outpatient care (HSA-PSY) in Switzerland.MethodsWe used HSAr, a new and automated methodological approach, and comprehensive psychiatric service use data from insurances to identify HSA-PSY based on travel patterns between patients' residences and service sites. Resulting HSA-PSY were compared geographically, demographically and regarding the use of inpatient and outpatient psychiatric services.ResultsWe identified 68 HSA-PSY, which were reviewed and validated by local mental health services experts. The population-based rate of inpatient and outpatient service utilization varied considerably between HSA-PSY. Utilization of inpatient and outpatient services tended to be positively associated across HSA-PSY.ConclusionsWide variation of service use between HSA-PSY can hardly be fully explained by underlying differences in the prevalence or incidence of disorders. Whether other factors such as the amount of services supply did add to the high variation should be addressed in further studies, for which our functional mapping on a small-scale regional level provides a good analytical framework.

Published
2023

17. Overview of Measurement-Based Assessment Approaches from the MEGAPHYS Project

Author

Weber, Britta, Heinrich, Kai, Seidel, David H., Hermanns-Truxius, Ingo, Hoehne-Hückstädt, Ulrike, Ditchen, Dirk, Jäger, Matthias, Barrero, Lope H., Ellegast, Rolf, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Black, Nancy L., editor, Neumann, W. Patrick, editor, and Noy, Ian, editor

Published
2022
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23. Mental health service areas in Switzerland

Author

Stulz, Niklaus, Jörg, Reto, Reim-Gautier, Constanze, Bonsack, Charles, Conus, Philippe, Evans-Lacko, Sara, Gabriel-Felleiter, Kerstin, Heim, Eva, Jäger, Matthias, Knapp, Martin, Richter, Dirk, Schneeberger, Andres, Thornicroft, Graham, Traber, Rafael, Wieser, Simon, Tuch, Alexandre, Hepp, Urs, Stulz, Niklaus, Jörg, Reto, Reim-Gautier, Constanze, Bonsack, Charles, Conus, Philippe, Evans-Lacko, Sara, Gabriel-Felleiter, Kerstin, Heim, Eva, Jäger, Matthias, Knapp, Martin, Richter, Dirk, Schneeberger, Andres, Thornicroft, Graham, Traber, Rafael, Wieser, Simon, Tuch, Alexandre, and Hepp, Urs

Abstract

Objectives: Small area analysis is a health services research technique that facilitates geographical comparison of services supply and utilization rates between health service areas (HSAs). HSAs are functionally relevant regions around medical facilities within which most residents undergo treatment. We aimed to identify HSAs for psychiatric outpatient care (HSA-PSY) in Switzerland. Methods: We used HSAr, a new and automated methodological approach, and comprehensive psychiatric service use data from insurances to identify HSA-PSY based on travel patterns between patients' residences and service sites. Resulting HSA-PSY were compared geographically, demographically and regarding the use of inpatient and outpatient psychiatric services. Results: We identified 68 HSA-PSY, which were reviewed and validated by local mental health services experts. The population-based rate of inpatient and outpatient service utilization varied considerably between HSA-PSY. Utilization of inpatient and outpatient services tended to be positively associated across HSA-PSY. Conclusions: Wide variation of service use between HSA-PSY can hardly be fully explained by underlying differences in the prevalence or incidence of disorders. Whether other factors such as the amount of services supply did add to the high variation should be addressed in further studies, for which our functional mapping on a small-scale regional level provides a good analytical framework.

Published
2024

30. YPO4:Pr3+ nanocrystal embedded into an optical fiber

Author

Dorosz, Dominik, primary, Kochanowicz, Marcin, additional, Valiente, Rafael, additional, Diego-Rucabado, Andrea, additional, Rodríguez, Fernando, additional, Siñeriz-Niembro, Nuria, additional, Espeso, José I., additional, Lesniak, Magdalena, additional, Miluski, Piotr, additional, Conzendorf, Sylvia, additional, Posseckardt, Juliane, additional, Liao, Zhongquan, additional, Jimenez, Gloria Lesly, additional, Müller, Robert, additional, Lorenz, Martin, additional, Schwuchow, Anka, additional, Leich, Martin, additional, Lorenz, Adrian, additional, Wondraczek, Katrin, additional, and Jäger, Matthias, additional

Published
2024
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34. Einsatz von Exoskeletten im beruflichen Kontext zur Primär‑, Sekundär-, und Tertiärprävention von arbeitsassoziierten muskuloskelettalen Beschwerden

Author

Steinhilber, Benjamin, Luger, Tessy, Schwenkreis, Peter, Middeldorf, Stefan, Bork, Hartmut, Mann, Bernhard, von Glinski, Alexander, Schildhauer, Thomas A., Weiler, Stephan, Schmauder, Martin, Heinrich, Kai, Winter, Gabriele, Schnalke, Gerhard, Frener, Peter, Schick, Ralf, Wischniewski, Sascha, and Jäger, Matthias

Published
2020
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40. 3D reconstruction of partial foot scans using different state of the art neural network approaches.

Author

Jäger, Matthias, Eberhardt, Jörg, and Cunningham, Douglas W.

Abstract

As online shopping continues to grow in popularity, shoes are increasingly being purchased without being physically tried on. This has resulted in a significant surge in returns, causing both financial and environmental consequences. To tackle this issue, several systems are available to measure foot dimensions accurately either in-store or at home. By obtaining precise foot measurements, individuals can determine their ideal shoe size and prevent unnecessary returns. In order to make such a system as simple as possible for the user, only a single image should be sufficient to measure the foot. To make this possible, point clouds from one side of the foot, which are generated by taking a depth image, are to be used. Since these point clouds represent only one side of the foot, the other side has to be generated. For this purpose, different existing state of the art networks were tested and compared to determine which architecture is best suited for this task. After implementing, re-training on our own dataset and testing the different architectures, it can be concluded that the point/transormer-based network SnowflakeNet is the most efficient to be used for our task. [ABSTRACT FROM AUTHOR]

Published
2024
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