@incollection{HaugRaptisWeber, author = {Haug, Sonja and Raptis, Georgios and Weber, Karsten}, title = {Einstellung zu Datenschutz und Wahrnehmung von Datensicherheit im Gesundheitsbereich}, series = {Digitale Technik f{\"u}r ambulante Pflege und Therapie III : Nutzung Akzeptanz Wirkung und Lebensqualit{\"a}t}, booktitle = {Digitale Technik f{\"u}r ambulante Pflege und Therapie III : Nutzung Akzeptanz Wirkung und Lebensqualit{\"a}t}, editor = {Weber, Karsten and Haug, Sonja and Lauer, Norina and Mohr, Christa}, publisher = {transcript}, address = {Bielefeld}, isbn = {978-3-8376-6728-8}, doi = {10.14361/9783839467282-003}, pages = {13 -- 28}, language = {de} } @inproceedings{GreinerCurrleEttletal., author = {Greiner, Nina and Currle, Edda and Ettl, Katrin and Frommeld, Debora and Haug, Sonja and Kudienko, Natalie and Lauer, Norina and Lichtenauer, Norbert and Meussling-Sentpali, Annette and Middel, Luise and Mohr, Christa and Pfingsten, Andrea and Popp, Christof and Raptis, Georgios and Weber, Karsten}, title = {Technik im Alltag - Technik zum Leben : Telepr{\"a}senzgest{\"u}tzte Pflege und Therapie bei Schlaganfallpatient*innen}, series = {Kann Digital Pflege?: Clusterkonferenz ,,Zukunft der Pflege", 3., September 2020, N{\"u}rnberg}, volume = {Konferenzband Teil 1}, booktitle = {Kann Digital Pflege?: Clusterkonferenz ,,Zukunft der Pflege", 3., September 2020, N{\"u}rnberg}, address = {K{\"o}nigstetten, {\"O}sterreich}, issn = {2710-3048}, pages = {57 -- 61}, abstract = {Vorgestellt wird das Forschungsvorhaben des interdisziplin{\"a}ren Forschungsprojekts „DeinHaus 4.0 - Telepr{\"a}senzroboter f{\"u}r die Pflege und Unterst{\"u}tzung von Schlaganfallpatientinnen und -patienten (TePUS)". {\"U}ber geeignete Robotersysteme sollen den Proband*innen individuell abgestimmte Angebote aus den Bereichen Telenursing und Teletherapie zur Verf{\"u}gung gestellt werden. Hierbei werden einerseits Telepr{\"a}senzsitzungen durchgef{\"u}hrt, anderseits kommen verschiedene Apps zum Einsatz. Die Interventionen werden mittels eines Mixed-Methods-Ansatzes evaluiert. Begleitend werden Technikakzeptanz und Nutzungsbereitschaft untersucht.}, subject = {Schlaganfall}, language = {de} } @misc{HaugLauerMeusslingSentpalietal., author = {Haug, Sonja and Lauer, Norina and Meussling-Sentpali, Annette and Mohr, Christa and Pfingsten, Andrea and Raptis, Georgios and Weber, Karsten and Bahr, Gudrun and Currle, Edda and Ettl, Katrin and Frommeld, Debora and Greiner, Nina and Kudienko, Natalie and Lichtenauer, Norbert and Middel, Luise and M{\"u}cke, Vanessa and Popp, Christof}, title = {Telepr{\"a}senzroboter f{\"u}r die Pflege und Unterst{\"u}tzung von Schlaganfallpatinnen und -patienten (TePUS)}, series = {Virtuelle Tagung "DeinHaus 4.0 Oberpfalz", 2020, Ostbayerische Technische Hochschule Regensburg}, journal = {Virtuelle Tagung "DeinHaus 4.0 Oberpfalz", 2020, Ostbayerische Technische Hochschule Regensburg}, language = {de} } @misc{HaugLauerMeusslingSentpalietal., author = {Haug, Sonja and Lauer, Norina and Meussling-Sentpali, Annette and Mohr, Christa and Pfingsten, Andrea and Raptis, Georgios and Weber, Karsten and Bahr, Gudrun and Currle, Edda and Ettl, Katrin and Frommeld, Debora and Greiner, Nina and Kudienko, Natalie and Lichtenauer, Norbert and Middel, Luise and M{\"u}cke, Vanessa and Popp, Christof}, title = {TePUS - Telepr{\"a}senzroboter f{\"u}r die Pflege}, series = {TRIOKON 2020 : Wissenschaft, Wirtschaft, Gesellschaft in Ostbayern, 29.09.2019, Landshut}, journal = {TRIOKON 2020 : Wissenschaft, Wirtschaft, Gesellschaft in Ostbayern, 29.09.2019, Landshut}, language = {de} } @article{DotterHaugSchnelletal., author = {Dotter, Caroline and Haug, Sonja and Schnell, Rainer and Raptis, Georgios and Weber, Karsten}, title = {Sharing health data for research purposes: results of a population survey in Germany}, series = {BMC health services research}, volume = {25}, journal = {BMC health services research}, publisher = {BMC}, doi = {10.1186/s12913-025-12706-9}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-81622}, pages = {9}, abstract = {BACKGROUND: Increased use of health data has the potential to improve both health care and health policies. Several recent policy initiatives at the European and German legislative levels aim to increase the primary and secondary use of health data. However, little is known about general population views on health data access for research. Most studies are based on subsets defined by specific illnesses. METHODS: We commissioned a national computer-assisted dual-frame telephone survey (landline and mobile). Logit estimation models were used to identify predictors of willingness to provide access to health data to different organizations (universities in Germany, universities worldwide, German government organizations, pharmaceutical companies). RESULTS: A high willingness to share health data for research purposes is observed, depending on the specific data recipient. The willingness is highest for research at universities in Germany and German governmental organizations, and lowest regarding research by pharmaceutical companies. The main drivers for sharing health data are the level of trust in public institutions, the respondents' assessment of the seriousness and likelihood of data misuse, and the level of digital literacy. Age, gender, and level of education have small effects and do not determine the willingness to share health data for all organizations. CONCLUSION: We present evidence from a random sample of the German population. The results indicate widespread support among the population for providing access to health data for research purposes. Similar to findings in other countries, the willingness depends strongly on the recipient of the data. This paper evaluates the impact of various determinants - identified in previous qualitative and quantitative research - on the willingness of the German population to share health data. While previous studies have found that patients are generally more willing to share health data, we found that the presence of a medical precondition does not translate into respondents' unequivocal support for health data sharing. We identify privacy concerns, general trust, and digital literacy as key factors influencing the willingness to share health data. Therefore, policymakers and stakeholders need to ensure and communicate the necessary privacy protection measures to increase the willingness of the German population to share health data.}, language = {en} }