BackgroundNursing staff is ideally positioned to play a central role in end-of-life communication as part of advance care planning for older people. However, this requires specific skills and... Show moreBackgroundNursing staff is ideally positioned to play a central role in end-of-life communication as part of advance care planning for older people. However, this requires specific skills and competences. Only fragmented knowledge is available concerning important fundamentals in end-of-life communication performed by nursing staff.ObjectiveThis review aimed to explore the fundamentals of end-of-life communication as part of advance care planning in the hospital, nursing home and home care setting, from the perspective of the nursing staff, the older person, and the family caregiver.DesignScoping review.MethodsA literature search in PubMed, PsycINFO, CINAHL and Google (Scholar) was conducted on August 20, 2022. The search strategy followed the sequential steps as described in the Joanna Briggs Institute Manual. Peer-reviewed articles of empirical research and gray literature written in English or Dutch and published from 2010 containing fundamentals of end-of-life communication as part of advance care planning from the perspective of nursing staff, older people, and family caregivers in the hospital nursing home or home care setting were considered eligible for review.ResultsNine studies were included, and four themes were composed, reflecting 11 categories. Nursing staff attunes end-of-life communication to the values and needs of older people to approach the process in a person-centered manner. This approach requires additional fundamentals: building a relationship, assessing readiness, timing and methods to start the conversation, communication based on information needs, attention to family relationships, a professional attitude, improving communication skills, listening and non-verbal observation skills, and verbal communication skills.ConclusionsThis review is the first to compile an overview of the fundamentals of end-of-life communication performed by nursing staff. Building a nursing staff-older-person relationship is the most important foundation for engaging in a person-centered end-of-life communication process. Knowing each other enables nursing staff to have a sense of older people’s readiness, determine the right timing to initiate an end-of-life conversation, identify specific needs, and accurately apply (non-)verbal observation skills. end-of-life communication is not a one-time conversation, but a complex process that takes time, effort, and genuine interest in each other. Show less
Background The COVID-19 pandemic has challenged healthcare systems and research worldwide. Data is collected all over the world and needs to be integrated and made available to other researchers... Show moreBackground The COVID-19 pandemic has challenged healthcare systems and research worldwide. Data is collected all over the world and needs to be integrated and made available to other researchers quickly. However, the various heterogeneous information systems that are used in hospitals can result in fragmentation of health data over multiple data 'silos' that are not interoperable for analysis. Consequently, clinical observations in hospitalised patients are not prepared to be reused efficiently and timely. There is a need to adapt the research data management in hospitals to make COVID-19 observational patient data machine actionable, i.e. more Findable, Accessible, Interoperable and Reusable (FAIR) for humans and machines. We therefore applied the FAIR principles in the hospital to make patient data more FAIR. Results In this paper, we present our FAIR approach to transform COVID-19 observational patient data collected in the hospital into machine actionable digital objects to answer medical doctors' research questions. With this objective, we conducted a coordinated FAIRification among stakeholders based on ontological models for data and metadata, and a FAIR based architecture that complements the existing data management. We applied FAIR Data Points for metadata exposure, turning investigational parameters into a FAIR dataset. We demonstrated that this dataset is machine actionable by means of three different computational activities: federated query of patient data along open existing knowledge sources across the world through the Semantic Web, implementing Web APIs for data query interoperability, and building applications on top of these FAIR patient data for FAIR data analytics in the hospital. Conclusions Our work demonstrates that a FAIR research data management plan based on ontological models for data and metadata, open Science, Semantic Web technologies, and FAIR Data Points is providing data infrastructure in the hospital for machine actionable FAIR Digital Objects. This FAIR data is prepared to be reused for federated analysis, linkable to other FAIR data such as Linked Open Data, and reusable to develop software applications on top of them for hypothesis generation and knowledge discovery. Show less
In dit proefschrift geven we een wetenschappelijke basis voor het opzetten van een severe acute respiratory infections (SARI) surveillance systeem in Nederland. Met behulp van pilotstudies... Show moreIn dit proefschrift geven we een wetenschappelijke basis voor het opzetten van een severe acute respiratory infections (SARI) surveillance systeem in Nederland. Met behulp van pilotstudies onderzochten we de essentiële voorwaarden voor een duurzaam SARI surveillance systeem in Nederland. Show less
Ettema, R.; Heim, N.; Hamaker, M.; Emmelot-Vonk, M.; Mast, R. van der; Schuurmans, M. 2018
