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In der Sozialen Arbeit und Gesundheitsfürsorge fokussieren frühe Präventions- und Hilfsangebote nach wie vor die sogenannte primäre Dyade, also die Beziehung zwischen Mutter und Kind. Väter werden oft außer Acht gelassen, obwohl sie das Familienleben und die Entwicklung des Kindes positiv wie negativ beeinflussen können und in der Erziehung heute präsenter sind als es in früheren Generationen der Fall war. Aus unterschiedlichen Perspektiven geht dieses Buch der Frage nach, mit welchen Angeboten, Erfolgsaussichten, Risiken und Nebenwirkungen (belastete) Väter unterstützt und angesprochen werden können.
Harmonisation of German Health Care Data Using the OMOP Common Data Model – A Practice Report
(2023)
Data harmonization is an important step in large-scale data analysis and for generating evidence on real world data in healthcare. With the OMOP common data model, a relevant instrument for data harmonization is available that is being promoted by different networks and communities. At the Hannover Medical School (MHH) in Germany, an Enterprise Clinical Research Data Warehouse (ECRDW) is established and harmonization of that data source is the focus of this work. We present MHH’s first implementation of the OMOP common data model on top of the ECRDW data source and demonstrate the challenges concerning the mapping of German healthcare terminologies to a standardized format.
Background: Continuity of care is associated with many benefits for patients and health care systems. Therefore measuring care coordination - the deliberate organization of patient care activities between two or more participants - is especially needed to identify entries for improvement. The aim of this study was the translation and cultural adaptation of the Medical Home Care Coordination Survey (MHCCS) into German, and the examination of the psychometric properties of the resulting German versions of the MHCCS-P (patient version) and MHCCS-H (healthcare team version).
Methods: We conducted a paper-based, cross-sectional survey in primary care practices in three German federal states (Schleswig-Holstein, Hamburg, Baden-Württemberg) with patients and health care team members from May 2018 to April 2019. Descriptive item analysis, factor analysis, internal consistency and convergent, discriminant and predictive validity of the German instrument versions were calculated by using SPSS 25.0 (Inc., IBM).
Results: Response rates were 43% (n = 350) for patients and 34% (n = 141) for healthcare team members. In total, 300 patient questionnaires and 140 team member questionnaires could be included into further analysis. Exploratory factor analyses resulted in three domains in the MHCCS-D-P and seven domains in the MHCCS-D-H: “link to community resources”, “communication”, “care transitions”, and additionally “self-management”, “accountability”, “information technology for quality assurance”, and “information technology supporting patient care” for the MHCCS-D-H. The domains showed acceptable and good internal consistency (α = 0.838 to α = 0.936 for the MHCCS-D-P and α = 0.680 to α = 0.819 for the MHCCS-D-H).
As 77% of patients (n = 232) and 63% of health care team members denied to have or make written care plans, items regarding the “plan of care” of the original MHCCS have been removed from the MHCCS-D.
Conclusions: The German versions of the Medical Home Care Coordination Survey for patients and healthcare team members are reliable instruments in measuring the care coordination in German primary care practices. Practicability is high since the total number of items is low (9 for patients and 27 for team members).
Building a well-founded understanding of the concepts, tasks and limitations of IT in all areas of society is an essential prerequisite for future developments in business and research. This applies in particular to the healthcare sector and medical research, which are affected by the noticeable advances in digitization. In the transfer project “Zukunftslabor Gesundheit” (ZLG), a teaching framework was developed to support the development of further education online courses in order to teach heterogeneous groups of learners independent of location and prior knowledge. The study at hand describes the development and components of the framework.
Within the HiGHmeducation consortium various online learning modules shall be developed by members of the consortium to address the increasing need for skilled professionals in a networked and digitalized healthcare system. Transferability of these modules to other locations is one main objective for the design of online learning modules. Thus, a didactical framework for online learning modules was developed. To ensure feasibility of the framework, the participating universities were analyzed concerning availability of e-learning support structures and infrastructures including learning management systems (LMS). The analysis especially focuses on the various LMS learning tools and their suitability for the framework. The framework is the basis for 12 HiGHmeducation online learning modules of which a part has firstly been conducted in winter 2019/20 and leads to a comparable structure of the modules.