In the Netherlands an innovative programme for early detection of chronic obstructive pulmonary disease (COPD) in primary care among patients aged 40–70 years has been evaluated in both an effect study and a pilot implementation study. Health-care providers identified four obstacles for successful implementation of a COPD early detection programme. This Brief Communication describes the most important results of a qualitative study using in-depth interviews.
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Aims and objectives. The Forensic Early Warning Signs of Aggression Inventory (FESAI) was developed to assist nurses and patients in identifying early warning signs and constructing individual early detection plans (EDP) for the prevention of aggressive incidents. The aims of this research were as follows: First, to study the prevalence of early warning signs of aggression, measured with the FESAI, in a sample of forensic patients, and second, to explore whether there are any types of warning signs typical of diagnostic subgroups or offender subgroups. Background. Reconstructing patients’ changes in behaviour prior to aggressive incidents may contribute to identify early warning signs specific to the individual patient. The EDP comprises an early intervention strategy suggested by the patient and approved by the nurses. Implementation of EDP may enhance efficient risk assessment and management. Design. An explorative design was used to review existing records and to monitor frequencies of early warning signs. Methods. Early detection plans of 171 patients from two forensic hospital wards were examined. Frequency distributions were estimated by recording the early warning signs on the FESAI. Rank order correlation analyses were conducted to compare diagnostic subgroups and offender subgroups concerning types and frequencies of warning signs. Results. The FESAI categories with the highest frequency rank were the following: (1) anger, (2) social withdrawal, (3) superficial contact and (4) non-aggressive antisocial behaviour. There were no significant differences between subgroups of patients concerning the ranks of the four categories of early warning signs. Conclusion. The results suggest that the FESAI covers very well the wide variety of occurred warning signs reported in the EDPs. No group profiles of warning signs were found to be specific to diagnosis or offence type. Relevance to clinical practice. Applying the FESAI to develop individual EDPs appears to be a promising approach to enhance risk assessment and management.
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In recent years, the fight against terrorism and political violence has focused more on anticipating the threats that they pose. Therefore, early detection of ideas by local professionals has become an important part of the preventive approach in countering radicalization. Frontline workers who operate in the arteries of society are encouraged to identify processes toward violent behavior at an early stage. To date, however, little is known about how these professionals take on this screening task at their own discretion. Research from the Netherlands suggests that subjective assessment appears to exist. In this article, we argue that the absence of a clear norm for preliminary judgments affects prejudice or administrative arbitrariness, which may cause side effects due to unjustified profiling.
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Agricultural/horticultural products account for 9% of Dutch gross domestic product. Yearly expansion of production involves major challenges concerning labour costs and plant health control. For growers, one of the most urgent problems is pest detection, as pests cause up to 10% harvest loss, while the use of chemicals is increasingly prohibited. For consumers, food safety is increasingly important. A potential solution for both challenges is frequent and automated pest monitoring. Although technological developments such as propeller-based drones and robotic arms are in full swing, these are not suitable for vertical horticulture (e.g. tomatoes, cucumbers). A better solution for less labour intensive pest detection in vertical crop horticulture, is a bio-inspired FW-MAV: Flapping Wings Micro Aerial Vehicle. Within this project we will develop tiny FW-MAVs inspired by insect agility, with high manoeuvrability for close plant inspection, even through leaves without damage. This project focusses on technical design, testing and prototyping of FW-MAV and on autonomous flight through vertically growing crops in greenhouses. The three biggest technical challenges for FW-MAV development are: 1) size, lower flight speed and hovering; 2) Flight time; and 3) Energy efficiency. The greenhouse environment and pest detection functionality pose additional challenges such as autonomous flight, high manoeuvrability, vertical take-off/landing, payload of sensors and other equipment. All of this is a multidisciplinary challenge requiring cross-domain collaboration between several partners, such as growers, biologists, entomologists and engineers with expertise in robotics, mechanics, aerodynamics, electronics, etc. In this project a co-creation based collaboration is established with all stakeholders involved, integrating technical and biological aspects.
This proposal envisions a solution for organizations and their employees to keep each other resilient and healthy.We aim for proactive detection of stress at an early stage, so it can facilitate a safe and collaborative dialogue between employers and employees at a time that they are both still able to see their co-dependency and mutual interests, while acknowledging the possible tension of conflicting interests. A sorrow shared is a sorrow halved.We use an Impact Plan Approach in which a Theory of Change (the DESTRESS Strategy) directs research activities that identify problems and causse, determine the required change to overcome them, and adjust the DESTRESS strategy to make improvements that are necessary to invoke that change. Subsequently, the DESTRESS strategy will be translated into the DESTRESS solution, for which a strategy for implementation and evaluation will be devised.
Pre-eclampsia (PE) is a common and severe pregnancy complication and is associated with substantial perinatal morbidity and mortality in mothers and infants. The disease is often characterized by a non-specific presentation which makes it challenging for physician to diagnose PE during regular pregnancy check-ups. To date, there are no diagnostic tests on the market for detection of PE early in pregnancy (first trimester). In this project, we will develop a platform to sensitively analyse calcium-binding proteins (CBPs) which will unlock the full potential of CBPs as predictive PE markers. The technology will also be applicable for other diseases (e.g., dementia and cancer) where CBPs are also known to play a key role in disease pathophysiology. We will develop with phage display antibodies that can recognize calcium binding to specific motifs in proteins. To this end we will synthesize peptide motifs with and without calcium to select antibodies that are specific for calcium bound proteins. These antibodies will be validated for their clinical use. For this goal we will use serum samples from the Improved studie (EU subsidised study) to determine if we can recognize pre-eclampsia in a very early stage. This knowledge can lead to a better treatment of pregnant women suffering from this disease and also will probably increase the well-being for the baby born and the development further in life.
