As part of their SMS, aviation service providers are required to develop and maintain the means to verify the safety performance of their organisation and to validate the effectiveness of safety risk controls. Furthermore, service providers must verify the safety performance of their organisation with reference to the safety performance indicators and safety performance targets of the SMS in support of their organisation’s safety objectives. However, SMEs lack sufficient data to set appropriate safety alerts and targets, or to monitor their performance, and no other objective criteria currently exist to measure the safety of their operations. The Aviation Academy of the Amsterdam University of Applied Sciences therefore took the initiative to develop alternative safety performance metrics. Based on a review of the scientific literature and a survey of existing safety metrics, we proposed several alternative safety metrics. After a review by industry and academia, we developed two alternative metrics into tools to help aviation organisations verify the safety performance of their organisations.The AVAV-SMS tool measures three areas within an organisation’s Safety Management System:• Institutionalisation (design and implementation along with time and internal/external process dependencies).• Capability (the extent to which managers have the capability to implement the SMS).• Effectiveness (the extent to which the SMS deliverables add value to the daily tasks of employees).The tool is scalable to the size and complexity of the organisation, which also makes it useful for small and medium-sized enterprises (SMEs). The AVAS-SCP tool also measures three areas in the organisation’s safety culture prerequisites to foster a positive safety culture:• Organisational plans (whether the company has designed/documented each of the safety cultureprerequisites).• Implementation (the extent to which the prerequisites are realised by the managers/supervisors acrossvarious organisational levels).• Perception (the degree to which frontline employees perceive the effects of managers’ actions relatedto safety culture).We field-tested these tools, demonstrating that they have adequate sensitivity to capture gaps between Work-as-Imagined (WaI) and Work-as-Done (WaD) across organisations. Both tools are therefore useful to organisations that want to self-assess their SMS and safety culture prerequisite levels and proceed to comparisons among various functions and levels and/or over time. Our field testing and observations during the turn-around processes of a regional airline confirm that significant differences exist between WaI and WaD. Although these differences may not automatically be detrimental to safety, gaining insight into them is clearly necessary to manage safety. We conceptually developed safety metrics based on the effectiveness of risk controls. However, these could not be fully field-tested within the scope of this research project. We recommend a continuation of research in this direction. We also explored safety metrics based on the scarcity of resources and system complexity. Again, more research is required here to determine whether these provide viable solutions.
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In this document, we provide the methodological background for the Safety atWork project. This document combines several project deliverables as defined inthe overall project plan: validation techniques and methods (D5.1.1), performanceindicators for safety at work (D5.1.2), personal protection equipment methods(D2.1.2), situational awareness methods (D3.1.2), and persuasive technology methods(D4.1.2).
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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.
