@article{Kastl2025, author = {Kastl, Andrea}, title = {Empathy mapping and hybrid persona creation: Understanding older adults' needs in technology design for ageing in place}, series = {Computational and structural biotechnology journal}, volume = {28}, journal = {Computational and structural biotechnology journal}, publisher = {Elsevier}, doi = {10.1016/j.csbj.2025.11.044}, pages = {552 -- 563}, year = {2025}, abstract = {Background: Technology yields the potential to support independence in later life and facilitate ageing in place. Barriers such as limited usability, varying levels of digital literacy, and persistent age-related stereotypes are documented to hinder technology adoption among older adults. User-centered design approaches, such as the persona method, offer strategies to address these challenges. Objective: Personas were created to inform the development of technologies supporting ageing in place by enhancing stakeholders' understanding of needs and technology experience among older adults. Methods: The personas were developed through an iterative process, with this paper detailing the last stage, which employed the a PATHY technique as conceptual framework for content analysis. Eleven focus group discussions were conducted in southern Germany, of which nine were included in the analysis. These involved older adults in need of support, with orthopedic and neurological conditions, and in informal caregiving roles. Results: Five hybrid personas were created to represent the target groups' experiences related to ageing in place, each reflecting needs, problems, existing solutions, habits, sociodemographic characteristics, and dimensions of technology experience. Key factors influencing technology experience and uptake among the personas were identified, including the social context and availability of support, the perceived trade-off between safety and digital privacy, and the persistence of the digital divide. Conclusion: The findings underscore the necessity of adaptable, context-sensitive technology solutions, displayed by the personas' needs, pains, routines and technology experiences. Thereby, the hybrid personas reinforce the importance of a more relational and context-aware approach in user-centered design.}, language = {en} } @article{MuehlboeckVoelkl2025, author = {M{\"u}hlb{\"o}ck, Kajetan and V{\"o}lkl, Johannes}, title = {Einsatz von Sauerstoff aus der Wasserelektrolyse f{\"u}r chemische Synthesen}, series = {Chemie Ingenieur Technik}, volume = {97}, journal = {Chemie Ingenieur Technik}, number = {5}, publisher = {Wiley-VCH Verlag GmbH \& Co. KGaA}, address = {Weinheim}, doi = {10.1002/cite.202400138}, pages = {536 -- 548}, year = {2025}, abstract = {Wasserstoff aus erneuerbaren Quellen ist ein zentraler Baustein zur Erreichung der Klimaziele, wobei die Wasserelektrolyse eine Schl{\"u}sseltechnologie darstellt. Dabei entsteht Sauerstoff als Koppelprodukt, das bereits in verschiedenen Anwendungen genutzt wird. Diese Studie bewertet das techno-{\"o}konomische Potenzial der Nutzung von Elektrolysesauerstoff f{\"u}r die Synthese von Ethylenoxid (EO) und Vinylacetatmonomer (VAM). Abh{\"a}ngig vom Strompreis k{\"o}nnen die Produktionskosten f{\"u}r Wasserstoff um6-12 \% gesenkt werden, wenn Sauerstoff zu Marktpreisen verkauft wird. Die Herstellungskosten von EO und VAM k{\"o}nnen um bis zu 4,5 \% reduziert werden, sofern Sauerstoff kostenfrei bereitgestellt wird. Die Integration in industrielle Cluster erm{\"o}glicht Synergien f{\"u}r die Nutzung von Wasserstoff und Sauerstoff.}, language = {de} } @article{PottBauerDreischulteetal.2025, author = {Pott, Claudia and Bauer, Petra and Dreischulte, Tobias and Leonhardt, Denise and Fegl, Marlene and Koller, Daniela}, title = {PARTICIPATE-MOB: Ambulante interprofessionelle Diagnostik der außerh{\"a}uslichen gehbezogenen Teilhabe von Personen nach Schlaganfall - Integratives Review}, series = {ergoscience}, volume = {20}, journal = {ergoscience}, number = {20(3)}, publisher = {Schulz-Kirchner Verlag}, address = {Idstein}, doi = {10.2443/skv-s-2025-54020250302}, pages = {101 -- 108}, year = {2025}, abstract = {Einleitung: Menschen nach einem Schlaganfall erfahren gehbezogene Teilhabe-Beeintr{\"a}chtigungen. Die Diagnostik gehbezogener Teilhabe ist weder konzeptionell fundiert, noch werden entsprechende Instrumente standardisiert und professions{\"u}bergreifend eingesetzt. Ziel des Reviews ist es, die in der Literatur beschriebenen und empfohlenen Vorgehensweisen zu identifizieren, um basierend darauf ein interprofessionelles Toolkit zu entwickeln. Methode: Im Rahmen eines integrativen Reviews erfolgte eine standardisierte Qualit{\"a}tsbeurteilung und modellbasierte qualitative Inhaltsanalyse mit deduktiv-induktiver Kategorienbildung in Anlehnung an Mayring. Die Kategorienbildung erfolgte unter Verwendung des Modells des außerh{\"a}uslichen Gehens, das die Theorie des geplanten Verhaltens sowie die ICF integriert und das Determinanten-Modell der interprofessionellen Zusammenarbeit ber{\"u}cksichtigt. Ergebnisse: Es wurden acht empirische Studien, drei Reviews, eine Meta-Ethnografie und eine Leitlinie (N = 13) mit mittlerer bis hoher Qualit{\"a}t eingeschlossen. Sie adressieren das (nicht einheitlich defi- nierte) Konzept der gehbezogenen Teilhabe, berichten {\"u}ber den Zu- sammenhang zwischen Gehverhalten, Selbstwirksamkeit, Balance und St{\"u}rzen, Bew{\"a}ltigungsstrategien und Umweltfaktoren. Dar{\"u}ber hinaus werden die Orthesen-gest{\"u}tzte Geh-Rehabilitation, der Einsatz von (digitalen) Beurteilungsinstrumenten und die Integration der Zugeh{\"o}rigen thematisiert. Eine interprofessionelle Diagnostik der gehbezogenen Teilhabe wird nicht beschrieben. Schlussfolgerung: Die interprofessionelle ambulante Diagnostik gehbezogener Teilhabe erfordert ein gemeinsames Konzeptverst{\"a}ndnis, eine teambasierte Teilhabe-Definition, die Integration digitaler Bewegungsmessinstrumente und Assessments zur Beurteilung verhaltensbezogener Faktoren wie Selbstwirksamkeit und Autonomie. Ergotherapeut*innen k{\"o}nnen die interprofessionelle Diagnostik durch Evaluation im außerh{\"a}uslichen Setting unterst{\"u}tzen.}, language = {de} } @article{HoepflSchellhorn2025, author = {H{\"o}pfl, Felix and Schellhorn, Marina}, title = {Balancing innovation and trust: Assessing artificial intelligence's role in medical history taking and physician perspectives on patient care}, series = {DESGIN+}, volume = {2025}, journal = {DESGIN+}, publisher = {AccScience Publishing (ASP) DESIGN+}, address = {Singapur}, doi = {10.36922/dp.7675}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:861-opus4-29528}, pages = {1}, year = {2025}, abstract = {This study explores the potential of artificial intelligence (AI) in medical history taking (anamnesis) and assesses its acceptance using technology acceptance models. Through nine expert interviews with physicians from diverse medical backgrounds, the study aims to understand concerns and anticipated benefits of AI in the doctor-patient relationship. To demonstrate AI's applications, digital anamnesis surveys were conducted with two actual patients, and the resulting data were interpreted by AI and reviewed by physicians. Findings indicate that physicians view AI as potentially beneficial, expecting that AI can facilitate improvements in care quality, efficiency, and time savings. Despite initial concerns about AI's ability to address individual patient needs and its impact on the doctor-patient relationship, there is significant interest in integrating AI tools into daily practice. Key issues include patient constitution, the effort-to-benefit ratio, and potential risks to patient trust. The study identifies six areas for further research: Economic impact and cost-benefit analysis, patient acceptance and trust, stress reduction and job satisfaction, effects on doctor-patient relationships, development of verification mechanisms, and ethical and legal considerations. These findings underscore the complexities of AI integration in health care, emphasizing the need to address concerns about patient individuality, data privacy, and interpersonal relationships while harnessing AI's potential.}, language = {en} }