@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} } @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} } @inproceedings{AltenbuchnerHaugWeber, author = {Altenbuchner, Amelie and Haug, Sonja and Weber, Karsten}, title = {Exploratory Analysis of Motion Tracking Data in the Rehabilitation Process of Geriatric Trauma Patients}, series = {Studies in Health Technology and Informatic. Volume 260: dHealth 2019 - From eHealth to dHealth}, booktitle = {Studies in Health Technology and Informatic. Volume 260: dHealth 2019 - From eHealth to dHealth}, editor = {Hayn, D. and Eggerth, A. and Schreier, G.}, publisher = {IOS Press}, doi = {10.3233/978-1-61499-971-3-138}, pages = {138 -- 145}, abstract = {Background: This article is based on an ongoing long-term study, in which customary motion trackers measure steps during rehabilitation of geriatric trauma patients (Med=86 years). Objectives: Exploring steps after 28 days of measurement. Finding similarities in the data by running cluster analysis and formulating linear regressions models to predict steps through time. Methods: Two types of motion trackers (FitBitAlta HR and Garmin v{\´i}vofit 3) have been used to measure patients' (N=24) steps after hip fracture in two study groups. Cluster analysis detected three clusters for progress in number of steps that were tested for group differences with ANOVA. Regression analysis tested models for individual patients. Results: Three-cluster solutions showed significant differences for the average amount of steps after 5, 14, 21 and 28 days. Regression models could predict 71 \% of the individual patients' progress in study group 2. Conclusion: The long-term study will provide more data in the future to examine the three-cluster solution and to find out in what stage of rehabilitation the measurement of the steps could be used to predict individual rehabilitation.}, language = {en} } @misc{AltenbuchnerHaugMohretal., author = {Altenbuchner, Amelie and Haug, Sonja and Mohr, Christa and Scorna, Ulrike and Weber, Karsten}, title = {The impact of nurse advisors and online advice services on treatment adherence in multiple sclerosis (MS)}, series = {7th Joint European Committee for Treatment and Research in Multiple Sclerosis - Americas Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS-ACTRIMS), 25.-27.10.2017, Paris}, journal = {7th Joint European Committee for Treatment and Research in Multiple Sclerosis - Americas Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS-ACTRIMS), 25.-27.10.2017, Paris}, language = {en} } @incollection{AltenbuchnerHaugKretschmeretal., author = {Altenbuchner, Amelie and Haug, Sonja and Kretschmer, Rainer and Weber, Karsten}, title = {How to Measure Physical Motion and the Impact of Individualized Feedback in the Field of Rehabilitation of Geriatric Trauma Patients}, series = {Health Informatics Meets eHealth}, booktitle = {Health Informatics Meets eHealth}, doi = {10.3233/978-1-61499-858-7-226}, pages = {226 -- 232}, abstract = {Background: This preparatory study accelerates an implementation of individualized monitoring and feedback of physical motion using conventional motion trackers in the rehabilitation process of geriatric trauma patients. Regaining mobility is accompanied with improved quality of life in persons of very advanced age recovering from fragility fractures. Objectives: Quantitative survey of regaining physical mobility provides recommendations for action on how to use motion trackers effectively in a clinical geriatric setting. Methods: Method mix of quantitative and qualitative interdisciplinary and mutual complementary research approaches (sociology, health research, philosophy/ethics, medical informatics, nursing science, gerontology and physical therapy). While validating motion tracker use in geriatric traumatology preliminary data are used to develop a target group oriented motion feedback. In addition measurement accuracy of a questionnaire about quality of life of multimorbid geriatric patients (FLQM) is tested. Conclusion: Implementing a new technology in a complex clinical setting needs to be based on a strong theoretical background but will not succeed without careful field testing.}, language = {en} }