from the article: Abstract Based on a review of recent literature, this paper addresses the question of how urban planners can steer urban environmental quality, given the fact that it is multidimensional in character, is assessed largely in subjective terms and varies across time. The paper explores three questions that are at the core of planning and designing cities: ‘quality of what?’, ‘quality for whom?’ and ‘quality at what time?’ and illustrates the dilemmas that urban planners face in answering these questions. The three questions provide a novel framework that offers urban planners perspectives for action in finding their way out of the dilemmas identified. Rather than further detailing the exact nature of urban quality, these perspectives call for an approach to urban planning that is integrated, participative and adaptive. ; ; sustainable urban development; trade-offs; quality dimensions
Background: Transmural palliative care interventions aim to identify older persons with palliative care needs and timely provide advance care planning, symptom management, and coordination of care. Nurses can have an important role in these interventions; however, their expertise is currently underused. A new transmural care pathway with a central role for the community care registered nurse in advance care planning aims to contribute to the quality of palliative care for older persons. Objective: To examine the perspectives of community nurses on the feasibility of a new transmural care pathway for advance care planning for older persons. Design: A qualitative study design using semi-structured interviews. Setting(s): Interviews were performed with community nurses of three participating homecare organizations in the Netherlands between March and May 2023. Participants: 19 community nurses. Methods: A topic guide was based on (1) challenges in advance care planning identified from the literature and (2) concepts that are important in assessing the feasibility of complex healthcare interventions provided by the Normalisation Process Theory framework. A combined inductive and deductive thematic analysis was performed. Results: Four themes were identified: views on the transmural care pathway, community nurses’ needs to fulfil their role, key points regarding implementation, and evaluation of the new practice. In general, community nurses were positive about the feasibility of the new practice as it provided a more structured work process that could facilitate interprofessional collaboration and improve the quality of palliative care. Overall, the feasibility of the new practice, from community nurses perspective, was determined by (1) clear roles and responsibilities in the transmural care pathway, (2) standardized registration of advance care planning, and (3) close involvement of community nurses in the whole implementation process. Conclusions: We highlighted important factors, from the perspectives of community nurses, that need to be considered in the implementation of a new transmural care pathway for advance care planning. A clear division of roles and responsibilities, standardized registration of advance care planning, and involvement of community nurses during the whole implementation process were mentioned as important enabling factors. This knowledge might contribute to successful implementation of a transmural care pathway that aims to enhance the quality of palliative care for older persons. Tweetable abstract: Community nurses’ perspectives on the feasibility of a transmural care pathway for advance care planning for older persons.
Objectives: In the post-surgical setting, active involvement of family caregivers has the potential to improve patient outcomes by prevention of surgical complications that are sensitive to fundamental care. This paper describes the development of a theoretically grounded program to enhance the active involvement of family caregivers in fundamental care for post-surgical patients. Methods: We used a quality improvement project following a multi-phase design. In Phase 1, an iterative method was used to combine evidence from a narrative review and professionals’ preferences. In Phase 2, the logic model underlying the program was developed guided by four steps: (1) confirm situation, intervention aim, and target population; (2) documented expected outcomes, and outputs of the intervention; (3) identify and describe assumptions, external factors and inputs; and (4) confirm intervention components. Results: Phase 1 identified a minimum set of family involvement activities that were both supported by staff and the narrative review. In Phase 2, the logic model was developed and includes (1) the inputs (e.g. educational- and environmental support), (2) the ultimate outcomes (e.g. reduction of postoperative complications), (3) the intermediate outcomes (e.g. behavioural changes), and (4) immediate outcomes (e.g. improved knowledge, skills and attitude). Conclusions: We demonstrated how we aimed to change our practice to an environment in which family caregivers were stimulated to be actively involved in postoperative care on surgical wards, and how we took different factors into account. The description of this program may provide a solid basis for professionals to implement the family involvement program in their own setting.
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.
This project addresses the critical issue of staff shortages and training inefficiencies in the hospitality industry, particularly focusing on the hotel sector. It connects with the urgent need for innovative, and effective training solutions to equip (inexperienced) staff with hospitality skills, thereby improving service quality and sustainable career prospects in the hotel industry. The project develops and tests immersive technologies (augmented and virtual reality, AR/VR) tailored to meet specific training needs of hotels. Traditional training methods such as personal trainings, seminars, and written manuals are proving inadequate in terms of learning effectiveness and job readiness, leading to high working pressure and poor staff well-being. This project aims to break this cycle by co-creating immersive training methods that promise to be more engaging and effective. Hotelschool The Hague has initiated steps in this direction by exploring AR and VR technologies for hotel staff training. This project builds on these efforts, aiming to develop accessible, immersive training tools specifically designed for the hotel sector. Specifically, this project aims to explore the effectiveness of these immersive trainings, an aspect largely overlooked in the rapid development of immersive technology solutions. The central research question is: How do immersive AR and VR training methods impact job readiness and learning effectiveness in the hotel sector? The one-year KIEM project period involves co-creating, implementing, and evaluating immersive training in collaboration with Hotelschool The Hague and Hyatt Andaz Amsterdam Prinsengracht Hotel in real-life settings. The partnership with Warp Industries, a leader in immersive technology, is crucial for the project’s success. Our findings will be co-created and multiplied through relevant sector associations such as House of Hospitality. This project aligns with the MV’s Impact Level 1: Transitions by promoting innovative training strategies that can lead to a fundamental shift in the hospitality industry, thereby enhancing social earning capacities.
Cell-based production processes in bioreactors and fermenters need to be carefully monitored due to the complexity of the biological systems and the growth processes of the cells. Critical parameters are identified and monitored over time to guarantee product quality and consistency and to minimize over-processing and batch rejections. Sensors are already available for monitoring parameters such as temperature, glucose, pH, and CO2, but not yet for low-concentration substances like proteins and nucleic acids (DNA). An interesting critical parameter to monitor is host cell DNA (HCD), as it is considered an impurity in the final product (downstream process) and its concentration indicates the cell status (upstream process). The Molecular Biosensing group at the Eindhoven University of Technology and Helia Biomonitoring are developing a sensor for continuous biomarker monitoring, based on Biosensing by Particle Motion. With this consortium, we want to explore whether the sensor is suitable for the continuous measurement of HCD. Therefore, we need to set-up a joint laboratory infrastructure to develop HCD assays. Knowledge of how cells respond to environmental changes and how this is reflected in the DNA concentration profile in the cell medium needs to be explored. This KIEM study will enable us to set the first steps towards continuous HCD sensing from cell culture conditions controlling cell production processes. It eventually generates input for machine learning to be able to automate processes in bioreactors and fermenters e.g. for the production of biopharmaceuticals. The project entails collaboration with new partners and will set a strong basis for subsequent research projects leading to scientific and economic growth, and will also contribute to the human capital agenda.
