@article{LawitschkaBrunmairBaueretal.2021, author = {Lawitschka, Anita and Brunmair, Matthias and Bauer, Dorothea and Zubarovskaya, Natalia and Felder-Puig, Rosemarie and Strahm, Brigitte and Bader, Peter and Strauss, Gabriele and Albert, Michael and Luettichau, Irene von and Greinix, Hildegard and Wolff, Daniel and Peters, Christina}, title = {Psychometric properties of the Activities Scale for Kids-performance after allogeneic hematopoietic stem cell transplantation in adolescents and children}, series = {Wiener klinische Wochenschrift}, volume = {133}, journal = {Wiener klinische Wochenschrift}, number = {1-2}, doi = {10.1007/s00508-020-01641-w}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-281100}, pages = {41-51}, year = {2021}, abstract = {Background The psychometric properties of an instrument, the Activity Scale for Kids-performance (ASKp), were assessed which was proposed to capture physical functioning after allogeneic hematopoietic stem cell transplantation (HSCT). Additionally, this multicenter observational prospective study investigated the influence of clinical correlates focusing on chronic graft-versus-host disease (cGVHD). Methods Patient-reported ASKp, clinician-reported Karnofsky/Lansky status (KPS/PSS), patient characteristics and cGVHD details were assessed of 55 patients with a median age of 12 years at baseline after day +100 post-HSCT and every 3 months during the next 18 months. The psychometric properties were evaluated and ASKp and KPS/PSS status was compared using ANOVAS and multiple regression models. Results The German version of the ASKp showed good psychometric properties except for ceiling effects. Discrimination ability of the ASKp was good regarding the need for devices but failed to predict cGVHD patients. Both the ASKp and the KPS/PSS were associated with patients after adoptive cell therapy being in need for devices, suffering from overlap cGVHD and from steroid side effects but not with patients' age and gender. In contrast to the KPS/PSS the ASKp only showed significant differences after merging moderate and severe cGHVD patients when comparing them to No-cGVHD (F = 4.050; p = 0.049), being outperformed by the KPS/PSS (F = 20.082; p < 0.001). Conclusion The ASKp showed no clear advantages compared to KPS/PSS even though economical and patients' effort was higher. Further application range may be limited through ceiling effects. Both should be taken into consideration. Therefore, the results may not support the usage of ASKp after HSCT and rather suggest KPS/PSS, both patient and clinician reported.}, language = {en} } @phdthesis{Albert2019, author = {Albert, Michael}, title = {Intelligent analysis of medical data in a generic telemedicine infrastructure}, isbn = {978-3-945459-26-3 (Online)}, doi = {10.25972/OPUS-17421}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-174213}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2019}, abstract = {Telemedicine uses telecommunication and information technology to provide health care services over spatial distances. In the upcoming demographic changes towards an older average population age, especially rural areas suffer from a decreasing doctor to patient ratio as well as a limited amount of available medical specialists in acceptable distance. These areas could benefit the most from telemedicine applications as they are known to improve access to medical services, medical expertise and can also help to mitigate critical or emergency situations. Although the possibilities of telemedicine applications exist in the entire range of healthcare, current systems focus on one specific disease while using dedicated hardware to connect the patient with the supervising telemedicine center. This thesis describes the development of a telemedical system which follows a new generic design approach. This bridges the gap of existing approaches that only tackle one specific application. The proposed system on the contrary aims at supporting as many diseases and use cases as possible by taking all the stakeholders into account at the same time. To address the usability and acceptance of the system it is designed to use standardized hardware like commercial medical sensors and smartphones for collecting medical data of the patients and transmitting them to the telemedical center. The smartphone can also act as interface to the patient for health questionnaires or feedback. The system can handle the collection and transport of medical data, analysis and visualization of the data as well as providing a real time communication with video and audio between the users. On top of the generic telemedical framework the issue of scalability is addressed by integrating a rule-based analysis tool for the medical data. Rules can be easily created by medical personnel via a visual editor and can be personalized for each patient. The rule-based analysis tool is extended by multiple options for visualization of the data, mechanisms to handle complex rules and options for performing actions like raising alarms or sending automated messages. It is sometimes hard for the medical experts to formulate their knowledge into rules and there may be information in the medical data that is not yet known. This is why a machine learning module was integrated into the system. It uses the incoming medical data of the patients to learn new rules that are then presented to the medical personnel for inspection. This is in line with European legislation where the human still needs to be in charge of such decisions. Overall, we were able to show the benefit of the generic approach by evaluating it in three completely different medical use cases derived from specific application needs: monitoring of COPD (chronic obstructive pulmonary disease) patients, support of patients performing dialysis at home and councils of intensive-care experts. In addition the system was used for a non-medical use case: monitoring and optimization of industrial machines and robots. In all of the mentioned cases, we were able to prove the robustness of the generic approach with real users of the corresponding domain. This is why we can propose this approach for future development of telemedical systems.}, subject = {Telemedizin}, language = {en} }