This thesis describes an Action Research (AR) project aimed at the implementation of Evidence Based Practice in a mental health nursing setting in the Netherlands. The main research question addressed in this thesis is: In what way is Action Research with an empowering appropriate to implement Evidence Based Practice in a mental health nursing setting in the Netherlands and what is the effect of this implementation on the care experienced by the client, the nursing interventions and the context in this setting compared to a comparative setting? To answer this main research question, the following questions derived from it were addressed: What is Evidence Based Practice? What is known about implementing evidence-based practice in nursing through Action Research? Which factors have to be dealt with in a mental health nursing setting, so the implementation of EBP with AR with an empowering intent will be more successful? Which factors have to be dealt with in a mental health nursing setting, so the implementation of EBP with AR with an empowering intent will be successful? How is EBP implemented through AR with an empowering intent and what are the outcomes for the use of evidence, the context and the facilitation in the setting? What is the effect of the implementation of EBP in mental health nursing using AR with an empowering intent on the care experienced by the client, the nursing interventions and the context compared to a comparison setting? The first two questions were answered by a search of the literature while the remaining questions were answered during the AR study conducted in two mental health organisations in the Netherlands.
This thesis describes an Action Research (AR) project aimed at the implementation of Evidence Based Practice in a mental health nursing setting in the Netherlands. The main research question addressed in this thesis is: In what way is Action Research with an empowering appropriate to implement Evidence Based Practice in a mental health nursing setting in the Netherlands and what is the effect of this implementation on the care experienced by the client, the nursing interventions and the context in this setting compared to a comparative setting? To answer this main research question, the following questions derived from it were addressed: What is Evidence Based Practice? What is known about implementing evidence-based practice in nursing through Action Research? Which factors have to be dealt with in a mental health nursing setting, so the implementation of EBP with AR with an empowering intent will be more successful? Which factors have to be dealt with in a mental health nursing setting, so the implementation of EBP with AR with an empowering intent will be successful? How is EBP implemented through AR with an empowering intent and what are the outcomes for the use of evidence, the context and the facilitation in the setting? What is the effect of the implementation of EBP in mental health nursing using AR with an empowering intent on the care experienced by the client, the nursing interventions and the context compared to a comparison setting? The first two questions were answered by a search of the literature while the remaining questions were answered during the AR study conducted in two mental health organisations in the Netherlands.
Transitions in health care and the increasing pace at which technological innovations emerge, have led to new professional approach at the crossroads of health care and technology. In order to adequately deal with these transition processes and challenges before future professionals access the labour market, Fontys University of Applied Sciences is in a transition to combining education with interdisciplinary practice-based research. Fontys UAS is launching a new centre of expertise in Health Care and Technology, which is a new approach compared to existing educational structures. The new centre is presented as an example of how new initiatives in the field of education and research at the intersection of care and technology can be shaped.
Due to societal developments, like the introduction of the ‘civil society’, policy stimulating longer living at home and the separation of housing and care, the housing situation of older citizens is a relevant and pressing issue for housing-, governance- and care organizations. The current situation of living with care already benefits from technological advancement. The wide application of technology especially in care homes brings the emergence of a new source of information that becomes invaluable in order to understand how the smart urban environment affects the health of older people. The goal of this proposal is to develop an approach for designing smart neighborhoods, in order to assist and engage older adults living there. This approach will be applied to a neighborhood in Aalst-Waalre which will be developed into a living lab. The research will involve: (1) Insight into social-spatial factors underlying a smart neighborhood; (2) Identifying governance and organizational context; (3) Identifying needs and preferences of the (future) inhabitant; (4) Matching needs & preferences to potential socio-techno-spatial solutions. A mixed methods approach fusing quantitative and qualitative methods towards understanding the impacts of smart environment will be investigated. After 12 months, employing several concepts of urban computing, such as pattern recognition and predictive modelling , using the focus groups from the different organizations as well as primary end-users, and exploring how physiological data can be embedded in data-driven strategies for the enhancement of active ageing in this neighborhood will result in design solutions and strategies for a more care-friendly neighborhood.
Developing and realizing an innovative concept for the Active Aging campus in two years, where students, teachers, companies, residents of surrounding Campus neighborhoods will be invited to do exercise, sports, play, meet and participate. This includes, on the one hand, providing input with regard to a mobility-friendly design from an infrastructural perspective and, on the other hand, organizing activities that contribute to Healthy Aeging of the Zernike site and the city of Groningen. It is not only about having an Active Aging campus with an iconic image, but also about the process. In the process of realization, students, teachers, researchers, companies and residents from surrounding districts will be explicitly involved. This includes hardware (physical environment / infrastructure), software (social environment) and orgware (interaction between the two).
Developing a framework that integrates Advanced Language Models into the qualitative research process.Qualitative research, vital for understanding complex phenomena, is often limited by labour-intensive data collection, transcription, and analysis processes. This hinders scalability, accessibility, and efficiency in both academic and industry contexts. As a result, insights are often delayed or incomplete, impacting decision-making, policy development, and innovation. The lack of tools to enhance accuracy and reduce human error exacerbates these challenges, particularly for projects requiring large datasets or quick iterations. Addressing these inefficiencies through AI-driven solutions like AIDA can empower researchers, enhance outcomes, and make qualitative research more inclusive, impactful, and efficient.The AIDA project enhances qualitative research by integrating AI technologies to streamline transcription, coding, and analysis processes. This innovation enables researchers to analyse larger datasets with greater efficiency and accuracy, providing faster and more comprehensive insights. By reducing manual effort and human error, AIDA empowers organisations to make informed decisions and implement evidence-based policies more effectively. Its scalability supports diverse societal and industry applications, from healthcare to market research, fostering innovation and addressing complex challenges. Ultimately, AIDA contributes to improving research quality, accessibility, and societal relevance, driving advancements across multiple sectors.
