@article{WeberKrugHaugetal., author = {Weber, Karsten and Krug, Henriette and Haug, Sonja and K{\"u}hn, Andrea A. and Scharf, Anna}, title = {External Observations and Subjective Experiences: Metaphors Used by DBS Patients}, series = {AJOB Neuroscience}, volume = {14}, journal = {AJOB Neuroscience}, number = {3}, publisher = {Taylor\&Francis}, doi = {10.1080/21507740.2023.2246219}, pages = {323 -- 325}, language = {en} } @inproceedings{MaierHaugHuberetal., author = {Maier, Johannes and Haug, Sonja and Huber, Michaela and Katzky, Uwe and Neumann, Sabine and Perret, J{\´e}r{\^o}me and Prinzen, Martin and Weber, Karsten and Wittenberg, Thomas and W{\"o}hl, Rebecca and Scorna, Ulrike and Palm, Christoph}, title = {Development of a haptic and visual assisted training simulation concept for complex bone drilling in minimally invasive hand surgery}, series = {CARS Conference, 5.10.-7.10.2017}, booktitle = {CARS Conference, 5.10.-7.10.2017}, language = {en} } @inproceedings{HaugWeber, author = {Haug, Sonja and Weber, Karsten}, title = {To buy or to share. Legal and illegal exchange of copies in social networks and in the Internet}, series = {European Japanese Conference on Rational Choice and Formalization. Leipzig, 17.-20.10.2001}, booktitle = {European Japanese Conference on Rational Choice and Formalization. Leipzig, 17.-20.10.2001}, language = {en} } @article{HaugSchnellRaptisetal., author = {Haug, Sonja and Schnell, Rainer and Raptis, Georgios and Dotter, Caroline and Weber, Karsten}, title = {Wissen und Einstellung zur Speicherung und Nutzung von Gesundheitsdaten: Ergebnisse einer Bev{\"o}lkerungsbefragung}, series = {Zeitschrift f{\"u}r Evidenz, Fortbildung und Qualit{\"a}t im Gesundheitswesen}, journal = {Zeitschrift f{\"u}r Evidenz, Fortbildung und Qualit{\"a}t im Gesundheitswesen}, publisher = {Elsevier}, issn = {1865-9217}, doi = {10.1016/j.zefq.2023.11.001}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-67461}, pages = {50 -- 58}, abstract = {Hintergrund/Zielsetzung Der Beitrag befasst sich mit dem Wissenstand und der Einstellung der Bev{\"o}lkerung. Betrachtet werden die {\"U}bermittlung und Verf{\"u}gbarkeit von Gesundheitsdaten, Gesundheitsregister, die elektronische Patientenakte, Einwilligungsverfahren f{\"u}r die {\"U}bermittlung von Daten und der Zugriff auf Gesundheitsdaten zu Forschungszwecken. Methoden Die Studie basiert auf einer computergest{\"u}tzten Telefonbefragung (Dual-Frame) bei einer Zufallsstichprobe der Bev{\"o}lkerung in Deutschland im Zeitraum 01.-27.06.2022 (n = 1.308). Ergebnisse Der Wissensstand zur {\"U}bermittlung von Gesundheitsdaten an Krankenkassen ist hoch, wohingegen das Vorhandensein zentraler Sterbe-, Impf- und Gesundheitsregister sowie der Zugriff auf Gesundheitsdaten durch behandelnde {\"A}rztinnen und {\"A}rzte {\"u}bersch{\"a}tzt werden. Die Akzeptanz medizinischer Register ist sehr hoch. Die elektronische Patientenakte ist bei der H{\"a}lfte der Bev{\"o}lkerung unbekannt, die Nutzungsbereitschaft ist eher gering ausgepr{\"a}gt; bei der {\"U}bertragung von Daten wird eine Zustimmungsoption bevorzugt, und {\"u}ber achtzig Prozent w{\"u}rden die Daten der elektronischen Patientenakte zur Forschung freigeben. Drei Viertel w{\"u}rden ihre Gesundheitsdaten allgemein zur Forschung freigeben, insbesondere an Universit{\"a}ten in Deutschland, wobei meist Anonymit{\"a}t Bedingung ist. Die Bereitschaft zur Datenfreigabe steigt mit der H{\"o}he des Vertrauens in die Presse sowie in Universit{\"a}ten und Hochschulen, und sie sinkt, wenn ein Datenleck als schwerwiegend erachtet wird. Diskussion und Schlussfolgerung In Deutschland besteht, wie in anderen europ{\"a}ischen L{\"a}ndern, eine große Bereitschaft zur Freigabe von Gesundheitsdaten zu Forschungszwecken. Dagegen ist der Wunsch zur Nutzung der elektronischen Patientenakte eher gering. Ebenso niedrig ist die Akzeptanz einer Widerspruchsoption, die jedoch als Voraussetzung f{\"u}r eine erfolgreiche Einf{\"u}hrung einer elektronischen Patientenakte gilt. Vertrauen in die Forschung und staatliche Stellen, die Gesundheitsdaten verarbeiten, sind zentrale Faktoren.}, language = {en} } @misc{HaugSchnellRaptisetal., author = {Haug, Sonja and Schnell, Rainer and Raptis, Georgios and Dotter, Caroline and Weber, Karsten}, title = {Projekt: Privacy und Willingness to share von Gesundheitsdaten (PWG): Fragebogen}, doi = {10.35096/othr/pub-7680}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-76802}, abstract = {Survey on the acceptance of sharing health data. The study is based on a computer-assisted telephone survey (dual-frame) of a random sample of the population (within the participants of the infas multi-topic survey recruited via ADM telephone sample) aged 18 and over in Germany, which was collected in the period 01-27 June 2022 (n=1,308). The questionnaire consists of 46 standardised questions including socio-demographics and 69 items. Individual questions were taken (partially translated and slightly modified) from other studies. This document is the translation of the German language questionaire used in the field. The original document may be found here: https://doi.org/10.35096/othr/pub-6057.}, language = {en} } @inproceedings{HauerSchultzHaugetal., author = {Hauer, Franziska and Schultz, Maximilian and Haug, Sonja and Weber, Karsten}, title = {Acceptance and Usage of AI Applications in Health-Focused NGOs}, series = {dHealth 2025, Proceedings of the 19th Health Informatics Meets Digital Health Conference}, booktitle = {dHealth 2025, Proceedings of the 19th Health Informatics Meets Digital Health Conference}, editor = {Baumgartner, Martin and Hayn, Dieter and Pfeifer, Bernhard and Schreier, G{\"u}nter}, publisher = {IOS Press}, address = {Wien}, isbn = {978-1-64368-592-2}, doi = {10.3233/SHTI250172}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-80613}, pages = {123 -- 128}, abstract = {Background: AI applications promise to be a valuable tool for healthfocused NGOs. While often operating with limited resources, these organizations recognize the potential of AI to streamline processes and support workflows through automation. However, challenges such as data privacy concerns—especially regarding personal medical data—and the low prioritization of implementation hinder progress. Objectives: This study examines the extent to which German health-focused NGOs can currently benefit from the application of AI. It evaluates demands, available resources, and use cases. Methods: A health-focused subset of data from project KINiro was analyzed. This research utilized a mixed-methods approach, combining two rounds of qualitative interviews with a quantitative survey. Results: The study revealed that while health-focused NGOs are in the early stages of AI implementation, there are hurdles such as ethical concerns and a lack of resources. Conclusion: AI has the potential to support health-focused NGOs in their work, if the challenges like resources, ethics, and data privacy are effectively addressed.}, language = {en} } @unpublished{DotterVetterHaugetal., author = {Dotter, Caroline and Vetter, Miriam and Haug, Sonja and Weber, Karsten}, title = {Determinants of Electricity Expenditure by Private Households. Analysis of the 2018 Survey of Income and Expenditure for Germany}, publisher = {SSRN - Elsevier}, doi = {10.2139/ssrn.4815428}, abstract = {Determinants of household electricity consumption measured by smart meters found by the authors in a scoping review were analyzed for the example of Germany utilizing the 2018 Survey of Income and Expenditure. All variables identified in the scoping review were covered in the survey (number and type of appliances, sociodemographic, and dwelling-related aspects). One can therefore use this large representative data set to test these relationships for German households. Expenditure on electricity is considered an indicator of household electricity consumption. The determinants show weak to moderate correlations with energy expenditure in bivariate analyses. The multivariate analysis shows effects of household-specific, dwelling-related, and appliance-specific factors. Models considering only one aspect overestimate this effect. Thus, all three aspects should be considered simultaneously when explaining residential electricity consumption. The largest effects are found for electricity as the main energy source for heating, the number of household members, as well as their presence at home. While household structure plays an important part in explaining residential energy consumption, dwelling and appliance-related aspects influence it as well. The latter aspects may be influenced by appropriate policy measures.}, language = {en} } @article{DotterHaugWeberetal., author = {Dotter, Caroline and Haug, Sonja and Weber, Karsten and Schnell, Rainer and Scharf, Anna and Altenburcher, Amelie}, title = {Analyzing factors determining vaccination willingness against COVID-19 in Germany 2020}, series = {Vaccine: X}, volume = {14}, journal = {Vaccine: X}, publisher = {Elsevier}, doi = {10.1016/j.jvacx.2023.100342}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-62900}, pages = {6}, abstract = {The study is based on a German single-topic population survey on vaccination willingness against COVID-19 (VWC) by the authors (2020, n = 2014). The single-topic survey allowed us to test several competing explanations for VWC, as discussed in the literature. The VWC in the sample was 67.3\%. Logistic regression was used to identify factors affecting VWC. Being at high risk from COVID-19 and having received flu vaccination have a positive impact on VWC. Perceived VWC of friends has a strong positive effect on respondents' VWC. Bivariate relationships of gender, age, and level of education with VWC were no longer significant in a multivariate analysis. Trust in alternative medicine and belief in conspiracy theories have a negative effect on VWC.}, language = {en} } @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} } @misc{CurrleHaugWeber, author = {Currle, Edda and Haug, Sonja and Weber, Karsten}, title = {Artificial Intelligence and anamnesis: Results of a population survey}, doi = {10.13140/RG.2.2.31952.01285}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-83325}, abstract = {Digital procedures are increasingly implemented to enhance efficiency in healthcare, with Artificial Intelligence (AI) — particularly chatbot s— showing significant potential for future applications. However, little is known about patients' acceptance of such technologies. The study "AI and Anamnesis" addresses this gap by investigating the German population's acceptance of and willingness to use AI-driven technologies for digital anamnesis. This poster presents results from the first wave of the survey, offering initial insights into public attitudes and potential barriers to adoption.}, subject = {K{\"u}nstliche Intelligenz}, language = {en} }