8 research outputs found

    Das SmartSenior-TV-Portal - TV als Service Plattform für Senioren

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    Das Internet ist längst nicht mehr ausschließlich auf dem Computer beheimatet. Es hat Einzug in Mobiltelefone, Tablet-PCs und TV-Receiver genommen. Dadurch entstanden neue Dienste und Produktmöglichkeiten, die weit über das reine Surfen hinausreichen. Als Beispiele seien hier das Video-Streaming, Online-Chatten, sowie ortsbezogene Dienste (wie das Wetter) genannt. Diese Dienste werden von Senioren aber oft nicht genutzt. Häufige Gründe dafür sind kompliziert gestaltete Webseiten und Benutzeranmeldungen, fehlende Erfahrung im Umgang mit Tastatur und Maus sowie fehlendes Vertrauen in die neuen Technologien. Die Lösung ist die Entwicklung eines auf Webseiten basierenden TV-Portals, das im Besonderen auf die Bedürfnisse und körperlichen Einschränkungen älterer Menschen Rücksicht nimmt. Die hierbei entstehenden Anforderungen betreffen den Style (Darstellung - Schriftgröße, große Buttons, etc.), die Bedienung und Navigation, die Kommunikation, sowie die Hardware (übersichtliche Fernbedienung) selbst

    Development and implementation of the data platform GeMuKi-Assist within the research project Healthy together: prevention plus for mother and child

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    Background The research project Healthy together: prevention plus for mother and child (GeMuKi) aims to strengthen interdisciplinary health counselling for pregnant women and young parents. In order to support this innovative and complex intervention, a data platform (GeMuKi-Assist) for healthcare providers, participants and study coordinators was developed. Methods This article describes the most important user requirements for the GeMuKi-Assist data platform and its integration into the intervention and study. In addition, first experiences including challenges and success factors during the usage of the data platform within the GeMuKi study are highlighted. The GeMuKi-Assist consists of several components. Using the GeMuKi-Assist data platform healthcare providers are able to document health-related data from the medical record booklets of mothers and children as well as information on the counselling process. They also enter lifestyle goals on which healthcare providers and participating women have jointly agreed. An app is provided for all women to fill in questionnaires during pregnancy and after birth. On this app, women also receive reminders to work on their goals. Study coordinators are provided with an administrative tool to check whether counselling has taken place and questionnaires have been filled in. Results The use of the GeMuKi app for motivating pregnant women and young mothers to change their individual lifestyles was well accepted. The implementation of the surveys via the mobile app was positively evaluated by the participants. The requirement to support the project team in data management was very well implemented. Especially the administrative tool for study coordinators can be considered as innovative. The organization of the questionnaire delivery was uncomplicated to implement using the administration tool. Nevertheless, healthcare providers express reservations about documenting health-related data in additional digital data platforms, which can be explained by the limited time in everyday practice, security concerns and a lack of experience in using digital media. Conclusion In summary, it can be stated that most of the essential project requirements could be realized by the implementation and usage of the GeMuKi-Assist data platform. Based on feedback from doctors and medical professionals a deeper integration of the GeMuKi-Assist-specific features (e.g., goal reminders and questionnaires) with already existing established pregnancy apps or medical documentation systems would be desirable for future research projects

    How (not) to think of the ‘dead-donor’ rule

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