Objective To explore how to build and maintain the resilience of frontline healthcare professionals exposed to COVID-19 outbreak working conditions. Design Scoping review supplemented with expert interviews to validate the findings. Setting Hospitals. Methods We searched PubMed, Embase, PsycINFO, CINAHL, bioRxiv and medRxiv systematically and grey literature for articles focusing on the impact of COVID- 19-like working conditions on the physical and/or mental health of healthcare professionals in a hospital setting. Articles using an empirical design about determinants or causes of physical and/or mental health and about interventions, measures and policies to preserve physical and/or mental health were included. Four experts were interviewed to reflect on the results from the scoping review. Results In total, 4471 records were screened leading to an inclusion of 73 articles. Recommendations prior to the outbreak fostering resilience included optimal provision of education and training, resilience training and interventions to create a feeling of being prepared. Recommendations during the outbreak consisted of (1) enhancing resilience by proper provision of information, psychosocial support and treatment (eg, create enabling conditions such as forming a psychosocial support team), monitoring the health status of professionals and using various forms and content of psychosocial support (eg, encouraging peer support, sharing and celebrating successes), (2) tasks and responsibilities, in which attention should be paid to kind of tasks, task mix and responsibilities as well as the intensity and weight of these tasks and (3) work patterns and working conditions. Findings of the review were validated by experts. Conclusions Recommendations were developed on how to build and maintain resilience of frontline healthcare professionals exposed to COVID-19 outbreak working conditions. These practical and easy to implement recommendations can be used by hospitals and other healthcare organisations to foster and preserve short-term and long-term physical and mental health and employability of their professionals.
Background: The increasing numbers of surgeries involving high risk, multi-morbid patients, coupled with inconsistencies in the practice of perioperative surgical wound care, increases patients’ risk of surgical site infection and other wound complications. Objectives: To synthesise and evaluate the recommendations for nursing practice and research from published systematic reviews in the Cochrane Library on nurse-led preoperative prophylaxis and postoperative surgical wound care interventions used or initiated by nurses. Design: Meta-review, guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Data sources: The Cochrane Library database. Review methods: All Cochrane Systematic Reviews were eligible. Two reviewers independently selected the reviews and extracted data. One reviewer appraised the methodological quality of the included reviews using A MeaSurement Tool to Assess Systematic Reviews 2 checklist. A second reviewer independently verified these appraisals. The review protocol was registered with the Prospective Register of Systematic Reviews. Results: Twenty-two Cochrane reviews met the inclusion criteria. Of these, 11 reviews focused on preoperative interventions to prevent infection, while 12 focused on postoperative interventions (one review assessed both pre-postoperative interventions). Across all reviews, 14 (63.6%) made at least one recommendation to undertake a specific practice, while two reviews (9.1%) made at least one specific recommendation not to undertake a practice. In relation to recommendations for further research, insufficient sample size was the most predominant methodological issue (12/22) identified across reviews. Conclusions: The limited number of recommendations for pre-and-postoperative interventions reflects the paucity of high-quality evidence, suggesting a need for rigorous trials to address these evidence gaps in fundamentals of nursing care.
Over the past year and a half, the pandemic has posed serious challenges to many professions, including education in general and teacher education in particular. COVID19 created an unprecedented and unimagined disruption without preparation. As in schools, in teacher education daily routines were challenged and we needed to rethink both our understanding of what teaching in schools looks like and what teachers need, and our understanding of TE pedagogy which is traditionally based on close interpersonal interaction and classroom teaching practice.In this turbulent period and given the circumstances and the need for ‘emergency distance learning’, many teacher educators did their very best with full dedication to their responsibilities towards students, schools and society. At the same time, the question can be raised whether we can do better next time. The answer to that question depends on the extent in which we are able to learn from our past experiences. Research and exchange of our experiences can support this learning process.The Teacher Education Policy in Europe (TEPE) network has been actively involved in efforts to learn from our past experiences and to strengthen knowledge to meet the new challenges. In doing so, we are aware of the importance of bringing together experts from different fields in a broad international forum. Among others, on 15 April 2021, with the help of colleagues from Tallinn University, we organized a webinar on the dilemmas and challenges teachers and schools face during the pandemic to ensure quality education for all, and how teacher education can support this. A month later, on 20-22 May, we held our fifteenth annual conference entitled Challenges of distance teaching in teacher education and education, organized by colleagues from the University of Ljubljana. It was attended by over 200 participants from 34 countries. In this document we summarize the main findings and recommendations that emerged from the presentations and discussions at both events.
The research proposal aims to improve the design and verification process for coastal protection works. With global sea levels rising, the Netherlands, in particular, faces the challenge of protecting its coastline from potential flooding. Four strategies for coastal protection are recognized: protection-closed (dikes, dams, dunes), protection-open (storm surge barriers), advancing the coastline (beach suppletion, reclamation), and accommodation through "living with water" concepts. The construction process of coastal protection works involves collaboration between the client and contractors. Different roles, such as project management, project control, stakeholder management, technical management, and contract management, work together to ensure the project's success. The design and verification process is crucial in coastal protection projects. The contract may include functional requirements or detailed design specifications. Design drawings with tolerances are created before construction begins. During construction and final verification, the design is measured using survey data. The accuracy of the measurement techniques used can impact the construction process and may lead to contractual issues if not properly planned. The problem addressed in the research proposal is the lack of a comprehensive and consistent process for defining and verifying design specifications in coastal protection projects. Existing documents focus on specific aspects of the process but do not provide a holistic approach. The research aims to improve the definition and verification of design specifications through a systematic review of contractual parameters and survey methods. It seeks to reduce potential claims, improve safety, enhance the competitiveness of maritime construction companies, and decrease time spent on contractual discussions. The research will have several outcomes, including a body of knowledge describing existing and best practices, a set of best practices and recommendations for verifying specific design parameters, and supporting documents such as algorithms for verification.
In order to stay competitive and respond to the increasing demand for steady and predictable aircraft turnaround times, process optimization has been identified by Maintenance, Repair and Overhaul (MRO) SMEs in the aviation industry as their key element for innovation. Indeed, MRO SMEs have always been looking for options to organize their work as efficient as possible, which often resulted in applying lean business organization solutions. However, their aircraft maintenance processes stay characterized by unpredictable process times and material requirements. Lean business methodologies are unable to change this fact. This problem is often compensated by large buffers in terms of time, personnel and parts, leading to a relatively expensive and inefficient process. To tackle this problem of unpredictability, MRO SMEs want to explore the possibilities of data mining: the exploration and analysis of large quantities of their own historical maintenance data, with the meaning of discovering useful knowledge from seemingly unrelated data. Ideally, it will help predict failures in the maintenance process and thus better anticipate repair times and material requirements. With this, MRO SMEs face two challenges. First, the data they have available is often fragmented and non-transparent, while standardized data availability is a basic requirement for successful data analysis. Second, it is difficult to find meaningful patterns within these data sets because no operative system for data mining exists in the industry. This RAAK MKB project is initiated by the Aviation Academy of the Amsterdam University of Applied Sciences (Hogeschool van Amsterdan, hereinafter: HvA), in direct cooperation with the industry, to help MRO SMEs improve their maintenance process. Its main aim is to develop new knowledge of - and a method for - data mining. To do so, the current state of data presence within MRO SMEs is explored, mapped, categorized, cleaned and prepared. This will result in readable data sets that have predictive value for key elements of the maintenance process. Secondly, analysis principles are developed to interpret this data. These principles are translated into an easy-to-use data mining (IT)tool, helping MRO SMEs to predict their maintenance requirements in terms of costs and time, allowing them to adapt their maintenance process accordingly. In several case studies these products are tested and further improved. This is a resubmission of an earlier proposal dated October 2015 (3rd round) entitled ‘Data mining for MRO process optimization’ (number 2015-03-23M). We believe the merits of the proposal are substantial, and sufficient to be awarded a grant. The text of this submission is essentially unchanged from the previous proposal. Where text has been added – for clarification – this has been marked in yellow. Almost all of these new text parts are taken from our rebuttal (hoor en wederhoor), submitted in January 2016.
Hogeschool Rotterdam wil in samenwerking met IT-Campus en Rotterdamse mkb-bedrijven onderzoeken of de dataskills die studenten in hun opleiding verwerven, aansluiten op de datageletterdheid die van hen als startende professionals wordt verlangd. Om dit te beoordelen vragen we Rotterdamse ondernemers naar de datagedreven uitdagingen en problemen die zij voor zich zien en of zij bij de instroom van startende professionals voldoende kennis en skills zien om die uitdagingen het hoofd te bieden. Met de uitkomsten kunnen kennisinstellingen een helder beeld krijgen van het concept datageletterdheid en hiermee een handvat bieden aan opleidingen om dataskills in de curricula aan te laten sluiten op de behoefte in de arbeidsmarkt van de Metropoolregio Rotterdam-Den Haag (MRDH). We werken toe naar een ontwerp Data Skills-set. Misschien is het beter om te spreken van datacompetenties, hetgeen onderdeel is van de zoektocht in dit onderzoek. Welke terminologie is het meest behulpzaam in het oplijnen van onderwijs en werkveld op het gebied van data: geletterdheid, competenties, skills of een combinatie daarvan. Is het van belang of juist contraproductief om daarin (merk)specifieke tooling een plek te geven? We vragen ons ook af of datageletterdheid als een generiek concept domeinoverstijgend bruikbaar is, bijvoorbeeld tussen het economisch en technisch domein. De verwachting is dat de bevindingen op het gebied van datageletterdheid in de regio Rotterdam te generaliseren zijn naar andere delen van Nederland. Ook die hypothese willen we verkennen in dit onderzoek. Door het beantwoorden van deze vragen willen we een start maken voor het ontwerp van een instrument voor professionele ontwikkeling in het werkveld als ook een referentiekader voor het gesprek met onderwijspartners en overheid. Daarnaast kan zo’n ontwerp DataSkills-set ervoor zorgen dat de onderwijsdomeinen in gesprek blijven met elkaar ten aanzien van nieuwe methoden en onderwijsvormen voor vaardigheden.
