TY - JOUR A1 - Dotter, Caroline A1 - Haug, Sonja A1 - Weber, Karsten A1 - Schnell, Rainer A1 - Scharf, Anna A1 - Altenburcher, Amelie T1 - Analyzing factors determining vaccination willingness against COVID-19 in Germany 2020 JF - Vaccine: X N2 - 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. KW - COVID-19 KW - Willingness to be vaccinated KW - Predictors of vaccination KW - Complementary alternative medicine KW - Educational level Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-62900 VL - 14 PB - Elsevier ER - TY - JOUR A1 - Milewski, Nadja A1 - Haug, Sonja T1 - At risk of reproductive disadvantage? Exploring fertility awareness among migrant women in Germany JF - Reproductive Biomedicine & Society Online N2 - This study examined awareness about fertility among immigrant women and non-migrants in Germany. The social relevance of infertility and fertility treatment is increasing in Western countries due to continually low overall birth rates, a high rate of childlessness, and a gap between the desired and actual numbers of children. While there is growing interest in infertility and reproductive medicine in general, previous studies have rarely included immigrant or ethnic minorities in Europe. This study investigated whether knowledge on the age-related fertility decline (ARFD) varies between migrant groups and the majority group, and the role of education. Working hypotheses were drawn from theoretical considerations on frameworks of migrant assimilation. The analysis was based on data collected in a social science pilot study on reproductive medicine, representative of the general population (‘NeWiRe’ 2014–2015). The sample included 962 women aged 18–50 years living in Germany. Approximately 81% of the sample were immigrants who originated from Turkey, Poland, the Balkan countries or countries of the (post-Soviet) Commonwealth of Independent States. While rather poor overall, knowledge on ARFD was found to be significantly lower in the migrant groups compared with the majority group. This minority-group disadvantage cannot be explained by sociodemographic or cultural variables. Future research should include minority groups in empirical studies on awareness about fertility in order to better understand the causes of this disadvantage, and the potential reproductive needs of migrants. KW - Age-related fertility decline KW - Fertility knowledge KW - Migrant assimilation KW - Minority groups KW - Non-patient sample Y1 - 2022 U6 - https://doi.org/10.1016/j.rbms.2021.11.007 VL - 14 SP - 226 EP - 238 PB - Elsevier ER - TY - JOUR A1 - Haug, Sonja A1 - Schnell, Rainer A1 - Raptis, Georgios A1 - Dotter, Caroline A1 - Weber, Karsten T1 - Wissen und Einstellung zur Speicherung und Nutzung von Gesundheitsdaten: Ergebnisse einer Bevölkerungsbefragung JF - Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen N2 - Hintergrund/Zielsetzung Der Beitrag befasst sich mit dem Wissenstand und der Einstellung der Bevölkerung. Betrachtet werden die Übermittlung und Verfügbarkeit von Gesundheitsdaten, Gesundheitsregister, die elektronische Patientenakte, Einwilligungsverfahren für die Übermittlung von Daten und der Zugriff auf Gesundheitsdaten zu Forschungszwecken. Methoden Die Studie basiert auf einer computergestützten Telefonbefragung (Dual-Frame) bei einer Zufallsstichprobe der Bevölkerung in Deutschland im Zeitraum 01.-27.06.2022 (n = 1.308). Ergebnisse Der Wissensstand zur Übermittlung von Gesundheitsdaten an Krankenkassen ist hoch, wohingegen das Vorhandensein zentraler Sterbe-, Impf- und Gesundheitsregister sowie der Zugriff auf Gesundheitsdaten durch behandelnde Ärztinnen und Ärzte überschätzt werden. Die Akzeptanz medizinischer Register ist sehr hoch. Die elektronische Patientenakte ist bei der Hälfte der Bevölkerung unbekannt, die Nutzungsbereitschaft ist eher gering ausgeprägt; bei der Übertragung von Daten wird eine Zustimmungsoption bevorzugt, und über achtzig Prozent würden die Daten der elektronischen Patientenakte zur Forschung freigeben. Drei Viertel würden ihre Gesundheitsdaten allgemein zur Forschung freigeben, insbesondere an Universitäten in Deutschland, wobei meist Anonymität Bedingung ist. Die Bereitschaft zur Datenfreigabe steigt mit der Höhe des Vertrauens in die Presse sowie in Universitäten und Hochschulen, und sie sinkt, wenn ein Datenleck als schwerwiegend erachtet wird. Diskussion und Schlussfolgerung In Deutschland besteht, wie in anderen europäischen Ländern, 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 für eine erfolgreiche Einführung einer elektronischen Patientenakte gilt. Vertrauen in die Forschung und staatliche Stellen, die Gesundheitsdaten verarbeiten, sind zentrale Faktoren. T2 - Knowledge and attitudes towards sharing of health data: Results of a population survey Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-67461 SN - 1865-9217 N1 - Corresponding author: Sonja Haug N1 - Fragebogen u.d.T.: "Projekt: Privacy und Willingness to share von Gesundheitsdaten (PWG)"; auf dem Publikationsserver unter https://opus4.kobv.de/opus4-oth-regensburg/frontdoor/index/index/docId/6057 abgelegt. N1 - Preprint unter: https://opus4.kobv.de/opus4-oth-regensburg/frontdoor/index/index/docId/6144 SP - 50 EP - 58 PB - Elsevier ER - TY - CHAP A1 - Altenbuchner, Amelie A1 - Weber, Karsten ED - Haltaufderheide, Joschka ED - Hovemann, Johanna ED - Vollmann, Jochen T1 - Geriatric trauma patients as research subjects in a technology-driven research project BT - A preliminary field report T2 - Aging between Participation and Simulation N2 - This article highlights methodological and ethical challenges in research with adults of older and oldest age, by presenting field experiences of the current research project “Motion Monitoring of Geriatric Trauma Patients - Explorative Study on the Rehabilitation Process after Hip Fracture Using Sensor-based Data”. Depiction of the survey situation, with regard to the subjects in particular, can serve as practical examples for designing future research projects. The group of older adults is a rather large and growing group for which research is required, especially concerning their heterogeneity, their individual autonomy and quality of life. It is assumed, that research designs of studies on the target group must be specifically adjusted, in particular when considering the attribution of vulnerability of the group members. At the same time, it is not clear yet what exact specifics of the subjects and target group must be considered in research designs, as surprisingly little is known about the target group as subjects and corresponding theories have been insufficiently tested. The exploratory long-term design of the research project presented in the second section of this chapter has a positive evaluation of an ethics committee. Still ethical challenges occurred in the field situation, that are illustrated in the third section of this chapter, by providing information on the patients, their role as research subjects, how they were recruited, how an informed consensus was reached, and in some cases how participation was rejected or abandoned. After a summary, the end of the paper is marked by recommendations on how to design future research projects. Cumulatively it must always be expected that interaction between researchers and research subjects of this target group can become very intensive, what requires to follow clearly defined procedures and at the same time to be prepared to act flexibly. Y1 - 2020 SN - 9783110677485 U6 - https://doi.org/10.1515/9783110677485-006 SP - 87 EP - 104 PB - De Gruyter CY - Berlin u.a. ER - TY - JOUR A1 - Weber, Karsten A1 - Pallas, Frank A1 - Ulbricht, Max-R. T1 - Challenges of Citizen Science: Commons, Incentives, Organizations, and Regulations JF - American Journal of Bioethics Y1 - 2019 U6 - https://doi.org/10.1080/15265161.2019.1619862 VL - 19 IS - 8 SP - 52 EP - 54 ER - TY - JOUR A1 - Weber, Karsten A1 - Loi, Michele A1 - Christen, Markus A1 - Kleine, Nadine T1 - Digital Medicine, Cybersecurity, and Ethics BT - An Uneasy Relationship JF - American Journal of Bioethics Y1 - 2018 U6 - https://doi.org/10.1080/15265161.2018.1498935 VL - 18 IS - 9 SP - 52 EP - 53 PB - Taylor&Francis ER - TY - JOUR A1 - Schneider, Diana A1 - Weber, Karsten T1 - AI for decision support: What are possible futures, social impacts, regulatory options, ethical conundrums and agency constellations? JF - TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis N2 - Although artificial intelligence (AI) and automated decision-making systems have been around for some time, they have only recently gained in importance as they are now actually being used and are no longer just the subject of research. AI to support decision-making is thus affecting ever larger parts of society, creating technical, but above all ethical, legal, and societal challenges, as decisions can now be made by machines that were previously the responsibility of humans. This introduction provides an overview of attempts to regulate AI and addresses key challenges that arise when integrating AI systems into human decision-making. The Special topic brings together research articles that present societal challenges, ethical issues, stakeholders, and possible futures of AI use for decision support in healthcare, the legal system, and border control. N2 - Obwohl künstliche Intelligenz (KI) und automa‑tisierte Entscheidungssysteme schon länger existieren, haben sie erst in jüngster Zeit stark an Bedeutung gewonnen, da sie nun tatsäch‑lich eingesetzt werden und nicht mehr nur Gegenstand der Forschung sind. KI zur Unterstützung von Entscheidungen betrifft somit immer grö‑ßere Teile der Gesellschaft, wodurch technische, vor allem aber ethi‑sche, rechtliche und soziale Herausforderungen entstehen, da nun Ent‑scheidungen von Maschinen getroffen werden können, die bisher in der Verantwortung von Menschen lagen. Diese Einführung gibt einen Über‑blick über die Versuche, KI zu regulieren, und geht auf zentrale Heraus‑forderungen ein, die sich aus der Integration von KI‑Systemen in die menschliche Entscheidungsfindung ergeben. Das Special topic versammelt Forschungsartikel, die gesellschaftliche Herausforderungen, ethi‑sche Fragen, Akteur*innen sowie mögliche Zukünfte des KI‑Einsatzes zur Entscheidungsunterstützung in der Gesundheitsversorgung, dem Rechtssystem und bei der Grenzkontrolle präsentieren. T2 - KI zur Entscheidungsunterstützung: Was sind mögliche Zukünfte, soziale Auswirkungen, regulatorische Optionen, ethische Fragen und Akteurskonstellationen? KW - artificial intelligence (AI) KW - decision support KW - socio-technical systems KW - regulation KW - social impacts Y1 - 2024 U6 - https://doi.org/10.14512/tatup.33.1.08 SN - 2567-8833 SN - 2568-020X VL - 33 IS - 1 SP - 8 EP - 13 PB - oekom verlag CY - München ER - TY - JOUR A1 - Schneider, Diana A1 - Weber, Karsten T1 - AI‑based decision support systems and society: An opening statement JF - TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis N2 - Although artificial intelligence (AI) and automated decision-making systems have been around for some time, they have only recently gained in importance as they are now actually being used and are no longer just the subject of research. AI to support decision-making is thus affecting ever larger parts of society, creating technical, but above all ethical, legal, and societal challenges, as decisions can now be made by machines that were previously the responsibility of humans. This introduction provides an overview of attempts to regulate AI and addresses key challenges that arise when integrating AI systems into human decision-making. The Special topic brings together research articles that present societal challenges, ethical issues, stakeholders, and possible futures of AI use for decision support in healthcare, the legal system, and border control. KW - artificial intelligence (AI) KW - decision support KW - socio-technical systems KW - regulation KW - social impacts Y1 - 2024 U6 - https://doi.org/10.14512/tatup.33.1.9 VL - 33 IS - 1 SP - 9 EP - 13 PB - Oekom ER - TY - JOUR A1 - Weber, Karsten T1 - Promoting Individual Well-Being, Increasing Social Welfare, and Securing Genetic Diversity Simultaneously BT - It Is a Matter of Degree JF - American Journal of Bioethics Y1 - 2015 U6 - https://doi.org/10.1080/15265161.2015.1028660 VL - 15 IS - 6 SP - 36 EP - 37 ER - TY - JOUR A1 - Weber, Karsten T1 - Is there really a concept called "inherent ethical concern"? JF - American Journal of Bioethics Neuroscience Y1 - 2014 U6 - https://doi.org/10.1080/21507740.2013.868377 VL - 5 IS - 1 SP - 39 EP - 40 ER -