Purpose In recent years, the effects of the physical environment on the healing process and well-being has proved to be increasingly relevant for the patient, family, carers (PFC), and staff. Moreover, it is a growing concern among health care providers, environmental psychologist, consultants, qualified installers of technologies, and architects. These concerns are about the traditional, institutionally designed health care facilities (HCF) in relation to the well-being of patients. Different studies have found that an improved design of the built environment can enhance the safety and quality, satisfaction of this so-called healing environments. This is an overview of the evidence presented in the literature on healing environments. The scientific research on evidence-based design is ordered and structured. Method The Cochrane Methodology1 was used to search data. Pubmed [Medline], Jstor, and Scopus were searched for relevant articles. A total of 54 keywords were used and structured in four groups, patient, staff, environmental factors, and relevant authors. After eliminating duplicate articles, the remaining articles were examined for further selection. At the final stage, articles were selected based on title and abstract that referred to the physical environment of healthcare facilities in the title and the abstract. To order and structure the evidence regarding healing environments, the framework of integrated building design by Rutten2 and Ulrich3,4 was used and adapted. The studies included in the review were subdivided into two groups, PFC-outcomes and staff outcomes by using methodology according to the pyramid of evidence5 . Results & Discussion Results illustrate the effects of different aspects and dimensions that deal with the physical environmental factors of HFC on PFC and staff. A total of 798 papers were found to fit the inclusion criteria. Of these, 68 articles were selected for the review: less than 50% were classified with a high level of evidence, and 87% were included in the group of PFC-outcomes. The study demonstrates that evidence of staff outcomes is scarce or insufficiently substantiated. With the development of a more customer-oriented management approach to HCF, these results are important for the design and construction of HCF. Some design features to be addressed are: identical rooms, single-patient rooms; and lighting. For future research, the main challenge is to investigate and specify staff needs and integrate these needs into the built environment of HCF.
SAMENVATTING Mensen met een ernstige psychiatrische aandoening (EPA) hebben een sterk verminderde levensverwachting in vergelijking met de algemene populatie, vooral veroorzaakt door fysieke aandoeningen. Een ongezonde leefstijl speelt een belangrijke rol in de verminderde levensverwachting bij mensen met EPA. Ter bevordering van de fysieke gezondheid van deze doelgroep is de nurse-led e-health-interventie GILL (Gezondheid in Lichaam en Leefstijl) ontwikkeld voor somatische screening en het stimuleren van een gezonde(re) leefstijl. Door het uitvoeren van een cluster-gerandomiseerde studie (RCT) wordt onderzocht of de GILL e-health-interventie effectiever is dan de standaardzorg in het verbeteren van de fysieke gezondheid en leefstijl van mensen met EPA. De primaire uitkomstmaat van deze studie is de score voor de ernst van het metabool syndroom. Naast de RCT wordt een procesevaluatie uitgevoerd om de implementatie en de ervaringen van zowel de deelnemende cliënten als de hulpverleners met de GILLinterventie systematisch te evalueren.
Background: The maternity care system in the Netherlands is well known for its support of community-based midwifery. However, regular midwifery practices typically do not offer caseload midwifery care – one-to-one continuity of care throughout pregnancy and birth. Because we know very little about the outcomes for women receiving caseload care in the Netherlands, we compared caseload care with regular midwife-led care, looking at maternal and perinatal outcomes, including antenatal and intrapartum referrals to secondary (i.e., obstetrician-led) care. Methods: We selected 657 women in caseload care and 1954 matched controls (women in regular midwife-led care) from all women registered in the Dutch Perinatal Registry (Perined) who gave birth in 2015. To be eligible for selection the women had to be in midwife-led antenatal care beyond 28 gestational weeks. Each woman in caseload care was matched with three women in regular midwife-led care, using parity, maternal age, background (Dutch or non-Dutch) and region. These two cohorts were compared for referral rates, mode of birth, and other maternal and perinatal outcomes. Results: In caseload midwifery care, 46.9% of women were referred to obstetrician-led care (24.2% antenatally and 22.8% in the intrapartum period). In the matched cohort, 65.7% were referred (37.4% antenatally and 28.3% in the intrapartum period). In caseload care, 84.0% experienced a spontaneous vaginal birth versus 77.0% in regular midwife-led care. These patterns were observed for both nulliparous and multiparous women. Women in caseload care had fewer inductions of labour (13.2% vs 21.0%), more homebirths (39.4% vs 16.1%) and less perineal damage (intact perineum: 41.3% vs 28.2%). The incidence of perinatal mortality and a low Apgar score was low in both groups. Conclusions: We found that when compared to regular midwife-led care, caseload midwifery care in the Netherlands is associated with a lower referral rate to obstetrician-led care – both antenatally and in the intrapartum period – and a higher spontaneous vaginal birth rate, with similar perinatal safety. The challenge is to include this model as part of the current effort to improve the quality of Dutch maternity care, making caseload care available and affordable for more women.
The results will be consensus between departments of physiotherapy universities of allied health care about learning outcomes CommunicationThere is no consensus between Dutch Physiotherapy departments on learning outcome of bachelors
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.
Horse riding falls under the “Sport for Life” disciplines, where a long-term equestrian development can provide a clear pathway of developmental stages to help individuals, inclusive of those with a disability, to pursue their goals in sport and physical activity, providing long-term health benefits. However, the biomechanical interaction between horse and (disabled) rider is not wholly understood, leaving challenges and opportunities for the horse riding sport. Therefore, the purpose of this KIEM project is to start an interdisciplinary collaboration between parties interested in integrating existing knowledge on horse and (disabled) rider interaction with any novel insights to be gained from analysing recently collected sensor data using the EquiMoves™ system. EquiMoves is based on the state-of-the-art inertial- and orientational-sensor system ProMove-mini from Inertia Technology B.V., a partner in this proposal. On the basis of analysing previously collected data, machine learning algorithms will be selected for implementation in existing or modified EquiMoves sensor hardware and software solutions. Target applications and follow-ups include: - Improving horse and (disabled) rider interaction for riders of all skill levels; - Objective evidence-based classification system for competitive grading of disabled riders in Para Dressage events; - Identifying biomechanical irregularities for detecting and/or preventing injuries of horses. Topic-wise, the project is connected to “Smart Technologies and Materials”, “High Tech Systems & Materials” and “Digital key technologies”. The core consortium of Saxion University of Applied Sciences, Rosmark Consultancy and Inertia Technology will receive feedback to project progress and outcomes from a panel of international experts (Utrecht University, Sport Horse Health Plan, University of Central Lancashire, Swedish University of Agricultural Sciences), combining a strong mix of expertise on horse and rider biomechanics, veterinary medicine, sensor hardware, data analysis and AI/machine learning algorithm development and implementation, all together presenting a solid collaborative base for derived RAAK-mkb, -publiek and/or -PRO follow-up projects.
