OBJECTIVE: To describe the long-term functioning of patients who survived a COVID-19-related admission to the intensive care unit and their family members, in the physical, social, mental and spiritual domain.DESIGN: A single-centre, prospective cohort study with a mixed-methods design.SETTING: The intensive care unit of the University Medical Center Groningen in the Netherlands.MAIN OUTCOME MEASURES: To study functioning 12 months after intensive care discharge several measurements were used, including a standardised list of physical problems, the Clinical Frailty Scale, the Medical Outcomes Study Short-Form General Health Survey, the McMaster Family Assessment Device, the Hospital Anxiety and Depression Scale, and the Spiritual Needs Questionnaire, as well as open questions and interviews with survivors and their family members.RESULTS: A total of 56 survivors (77%) returned the 12-month questionnaire, whose median age was 62 (inter-quartile range [IQR]: 55.0-68.0). Moreover, 67 family members (66%) returned the 12-month questionnaire, whose median age was 58 (IQR: 43-66). At least one physical problem was reported by 93% of the survivors, with 22% reporting changes in their work-status. Both survivors (84%) and their family members (85%) reported at least one spiritual need. The need to feel connected with family was the strongest. The main theme was 'returning to normal' in the interviews with survivors and 'if the patient is well, I am well' in the interviews with family members.CONCLUSIONS: One year after discharge, both COVID-19 intensive care survivors and their family members positively evaluate their health-status. Survivors experience physical impairments, and their family members' well-being is strongly impacted by the health of the survivor.
INTRODUCTION: Delirium in critically-ill patients is a common multifactorial disorder that is associated with various negative outcomes. It is assumed that sleep disturbances can result in an increased risk of delirium. This study hypothesized that implementing a protocol that reduces overall nocturnal sound levels improves quality of sleep and reduces the incidence of delirium in Intensive Care Unit (ICU) patients.METHODS: This interrupted time series study was performed in an adult mixed medical and surgical 24-bed ICU. A pre-intervention group of 211 patients was compared with a post-intervention group of 210 patients after implementation of a nocturnal sound-reduction protocol. Primary outcome measures were incidence of delirium, measured by the Intensive Care Delirium Screening Checklist (ICDSC) and quality of sleep, measured by the Richards-Campbell Sleep Questionnaire (RCSQ). Secondary outcome measures were use of sleep-inducing medication, delirium treatment medication, and patient-perceived nocturnal noise.RESULTS: A significant difference in slope in the percentage of delirium was observed between the pre- and post-intervention periods (-3.7% per time period, p=0.02). Quality of sleep was unaffected (0.3 per time period, p=0.85). The post-intervention group used significantly less sleep-inducing medication (p<0.001). Nocturnal noise rating improved after intervention (median: 65, IQR: 50-80 versus 70, IQR: 60-80, p=0.02).CONCLUSIONS: The incidence of delirium in ICU patients was significantly reduced after implementation of a nocturnal sound-reduction protocol. However, reported sleep quality did not improve.
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.
Kansen voor circulaire beademingszorg De gezondheidszorg is verantwoordelijk voor 7% van de totale Nederlandse CO2-uitstoot. Eén van de meest materiaal intensieve afdelingen in een ziekenhuis is de intensive care. Patiënten op een intensive care worden beademd en ontvangen daarbij zogenaamde beademingszorg. Tijdens beademingszorg wordt gemaakt van hulpmiddelen zoals beademingsslangen, uitzuigslangen, filters en materialen ter infectiepreventie. De meeste hulpmiddelen worden na gebruik weggegooid. Om de zorg te verduurzamen zijn in de Green Deal doelstellingen geformuleerd om grondstoffenverbruik te verminderen in 2030 en uiteindelijk toe te werken naar circulaire zorg 2050. Er is op dit moment echter weinig kennis over de milieubelasting van gebruikte hulpmiddelen tijdens beademingszorg en de mogelijkheden om circulaire strategieën toe te passen. Dit project heeft als doel om een inventarisatie te maken van de milieubelasting en de afvalstromen van hulpmiddelen rondom beademingszorg. Daarbij is het project ook gericht op een inventarisatie van de mate waarin milieubelasting een overweging is bij de besluitvorming door betrokken stakeholders. Vervolgens zal in kaart worden gebracht welke mogelijkheden er zijn om via circulaire strategieën een bijdrage te leveren om de milieubelasting van hulpmiddelen rondom beademingszorg te verminderen. Voor de uitvoering van dit project zijn unieke deskundigheidsgebieden samengebracht in een consortium. De praktijkpartners hebben expertise in zorgverlening op de intensive care afdeling (AmsterdamUMC) en afvalstromen in ziekenhuizen (adviesbureau Innomax). De betrokken kennisinstellingen hebben expertise in onderwijs- en onderzoek rondom duurzaamheid (de Hogeschool van Amsterdam, Technische Universiteit Delft en Radboudumc). Dit consortium is een unieke samenwerking waarbij om kennis van zorgprocessen, afvalstromen en de milieubelasting van de zorgverlening op de intensive care worden gebundeld om de kansen voor duurzame beademingszorg te inventariseren. De resultaten van dit project zullen een praktijkverandering in gang zetten op intensive care afdelingen van AmsterdamUMC en Radboudumc en vervolgens ook verspreid worden via de landelijke en internationale netwerken.
Every year the police are confronted with an ever increasing number of complex cases involving missing persons. About 100 people are reported missing every year in the Netherlands, of which, an unknown number become victims of crime, and presumed buried in clandestine graves. Similarly, according to NWVA, several dead animals are also often buried illegally in clandestine graves in farm lands, which may result in the spread of diseases that have significant consequences to other animals and humans in general. Forensic investigators from both the national police (NP) and NWVA are often confronted with a dilemma: speed versus carefulness and precision. However, the current forensic investigation process of identifying and localizing clandestine graves are often labor intensive, time consuming and employ classical techniques, such as walking sticks and dogs (Police), which are not effective. Therefore, there is an urgent request from the forensic investigators to develop a new method to detect and localize clandestine graves quickly, efficiently and effectively. In this project, together with practitioners, knowledge institutes, SMEs and Field labs, practical research will be carried out to devise a new forensic investigation process to identify clandestine graves using an autonomous Crime Scene Investigative (CSI) drone. The new work process will exploit the newly adopted EU-wide drone regulation that relaxes a number of previously imposed flight restrictions. Moreover, it will effectively optimize the available drone and perception technologies in order to achieve the desired functionality, performance and operational safety in detecting/localizing clandestine graves autonomously. The proposed method will be demonstrated and validated in practical operational environments. This project will also make a demonstrable contribution to the renewal of higher professional education. The police and NVWA will be equipped with operating procedures, legislative knowledge, skills and technological expertise needed to effectively and efficiently performed their forensic investigations.
