Aims and objectives: To examine the predictive properties of the brief Dutch National Safety Management Program for the screening of frail hospitalised older patients (VMS) and to compare these with the more extensive Maastricht Frailty Screening Tool for Hospitalised Patients (MFST-HP). Background: Screening of older patients during admission may help to detect frailty and underlying geriatric conditions. The VMS screening assesses patients on four domains (i.e. functional decline, delirium risk, fall risk and nutrition). The 15-item MFST-HP assesses patients on three domains of frailty (physical, social and psychological). Design: Retrospective cohort study. Methods: Data of 2,573 hospitalised patients (70+) admitted in 2013 were included, and relative risks, sensitivity and specificity and area under the receiver operating characteristic (AUC) curve of the two tools were calculated for discharge destination, readmissions and mortality. The data were derived from the patients nursing files. A STARD checklist was completed. Results: Different proportions of frail patients were identified by means of both tools: 1,369 (53.2%) based on the VMS and 414 (16.1%) based on the MFST-HP. The specificity was low for the VMS, and the sensitivity was low for the MFST-HP. The overall AUC for the VMS varied from 0.50 to 0.76 and from 0.49 to 0.69 for the MFST-HP. Conclusion: The predictive properties of the VMS and the more extended MFST-HP on the screening of frailty among older hospitalised patients are poor to moderate and not very promising. Relevance to clinical practice: The VMS labels a high proportion of older patients as potentially frail, while the MFST-HP labels over 80% as nonfrail. An extended tool did not increase the predictive ability of the VMS. However, information derived from the individual items of the screening tools may help nurses in daily practice to intervene on potential geriatric risks such as delirium risk or fall risk.
The objective of the study described in this paper is to define safety metrics that are based on the effectiveness of risk controls. Service providers define and implement such risk controls in order to prevent hazards developing into an accident. The background of this research is a specific need of the aviation industry where small and medium-sized enterprises lack large amounts of safety-related data to measure and demonstrate their safety performance proactively. The research department of the Aviation Academy has initiated a 4-year study, which will test the possibility to develop new safety indicators that will be able to represent safety levels proactively without the benefit of large data sets. As part of the development of alternative safety metrics, safety performance indicators were defined that are based on the effectiveness of risk controls. ICAO (2013) defines a risk control as “a defence with specific mitigation actions, preventive controls or recovery measures put in place to prevent the realization of a hazard or its escalation into an undesirable consequence”. Examples of risk controls are procedures, education and training, a piece of equipment etc. It is crucial for service providers to determine whether the introduced risk controls are indeed effective in reducing the targeted risk. ICAO (2013) describes the effectiveness of risk control as "the extent to which the risk control reduces or eliminates the safety risks”, but does not provide guidance on how to measure the effectiveness of risk control. In this study, a generic metrics for the effectiveness of risk controls based on their effectiveness was developed. The definition of the indicators allows, for each risk control, derivation of specific indicators based on the generic metrics. The suitability of the metrics will subsequently be tested in pilot studies within the aviation industry.
Following the completion of the 1st phase of the RAAK PRO project Aviation Safety Metrics, during which the researchers mapped the current practice in safety metrics and explored the validity of monotonic relationships of SMS, activity and demographic metrics with safety outcomes, this report presents the concept for the design of new metrics. Those metrics will be based on the hypothesis that the greater the gap between Work-As-Imagined and Work-As-Done the lower the safety performance, and they correspond to a set of references from academic literature, challenges in professional practice,depiction of system structure, and consideration of “soft” organizational aspects. Along with the design of the alternative metrics, this report explains the respective concepts referred in the literature but excluded from the current research, as well as the process and possible difficulties in ensuring various validity types of the new metrics.
The aim of the ProInCa project was to develop the sustainable innovation capacity of Kazakhstan’s Medical Universities for the modernization of nursing. The project was coordinated by JAMK University of Applied Sciences and consisted of a consortium of five Kazakhstani medical universities and four European higher education institutions. The project was co-funded by the Erasmus+ Capacity Building in the Field of Higher Education programme and supported by the Ministry of Education and Science and the Ministry of Healthcare of the Republic of Kazakhstan during 15.10.2017 – 31.01.2021.he wider objective of the ProInCa project is to develop the sustainable innovation capacity of Kazakhstan’s Medical Universities for the modernization of nursing. This wider objective is divided into four specific objectives, which are:1. Development of mechanisms for collaboration and knowledge sharing between academic national and international nursing community and society.2. To learn from best practices on implementing evidence-based nursing in nursing research, education and practice to promote the efficiency and quality of health care.3. Strengthen higher education institutes’ role in building evidence-based nursing research activities in health services to promote quality and safety of health care system.4. Promote the capacity and system of nursing leadership and management in health care transition to improve the quality of health care system
Bullying at school is an emotionally charged topic that significantly tests the relationship between parents and teachers. It is a sensitive issue as it directly relates to the child's upbringing at home. Furthermore, parents and teachers have differing perspectives on the child, and the strategies they adopt to curb bullying are based on different perspectives and spheres of influence. In recent years, a variety of measures have been implemented in order to combat bullying at primary schools. Many different anti-bullying programmes have been developed for schools and a wide range of methods, training courses and tools are available to help teachers work together with parents in order to optimise their child's educational development. However, all of these anti-bullying methods lack concrete advice and tools to help teachers work together with parents whose children are personally involved in an incidence of bullying, despite experts across the board agreeing that cooperation between parents and teachers is of vital importance.The goal of this project is to develop an effective strategy to facilitate cooperation between parents and teachers that can be employed in the event of bullying as a supplement to existing anti-bullying programmes. This consortium's ambition is to boost the social safety of children in primary education by applying expertise in the field of bullying and parental involvement, and by combining past experiences.
Nature-based coastal management is mainstream in the Netherlands. About 12 Mm3 of sand is added annually to the coast to compensate coastal erosion and maintain high safety levels against flooding. This amount will likely increase to compensate for accelerated sea level rise. (Mega-)Nourishments may also strengthen and support biodiversity and recreational values of the coastal zone and associated wetland areas. However, the ecological and societal impacts of mega-nourishments on open coasts are not well established, hampering comparison of pros and cons of different nourishment strategies. This knowledge gap is largely due to the lack of suitable methods to monitor and predict the spreading of nourishment sand along the coast and into tidal basins. Ameland Inlet provides us with a unique opportunity to develop and test novel approaches to fill this knowledge gap in close collaboration with our consortium and stakeholders. In 2018 the first tidal inlet mega-nourishment (5 Mm3) was placed in the Ameland Inlet ebb-tidal delta, and geomorphic and biotic responses nearby are closely monitored in the Kustgenese 2.0 and SEAWAD programmes. Our research builds on the insights gained, will gather new data to investigate off-site effects (linked with SIBES/SIBUS sampling), and build a common knowledge-base with stakeholders. We will develop novel luminescence-based methods to monitor the temporal and spatial dispersal of nourishment sand. These insights will be combined with an inventory of off-site biotic responses to nourishment and the role biota play in the mixing of nourishment sand with natural sediments. Combined results will be used to develop and validate models to trace transport paths of individual grains and improve morphodynamic predictions. Throughout the project, we will collaborate and interact intensely with coastal managers and (local) stakeholders to address concerns and exchange insights, creating a platform for co-assessment and optimization of nourishment designs and strategies.
