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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Early detection of radicalization processes that may lead to violent extremism takes place in a grey area. Primarily because no one can truly predict when someone poses a risk before there are any indications of criminal acts. The local police have been given an important role in countering violent extremism (CVE) policy; namely proactive information gathering at a stage in which people are still law-abiding citizens. However, little is known about how they perceive their role in CVE. Therefore, this article examines how community police officers deal with their mandate to engage in early detection, and discusses the side effects that accompany this practice. Based on open interviews with 22 constables in the Netherlands, we focus on the risk assessments made by these local professionals. In this article, we aim to contribute to a more thorough, inclusive, and well-informed debate about community policing with regard to suspicions of extremist behaviour among youth.
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Frontline professionals such as social workers and civil servants play a crucial role in countering violent extremism.Because of their direct contac twith society,first liners are tasked with detecting individuals that may threaten national security and the democratic rule of law. Preliminary screening takes place during the pre-crime phase. However, without clear evidence or concrete indicators of unlawful action or physical violence, it is challenging to determine when someone poses a threat. There are no set patterns that can be used to identify cognitive radicalization processes that will result in violent extremism. Furthermore, prevention targets ideas and ideologies with no clear framework for assessing terrorism-risk. This article examines how civil servants responsible for public order, security and safety deal with their mandate to engage in early detection, and discusses the side effects that accompany this practice. Based on openinterviews with fifteen local security professionals in the Netherlands, we focus here on the risk assessments made by these professionals. To understand their performance, we used the following two research questions: First, what criteria do local security professionals use to determine whether or not someone forms a potential risk? Second, how do local security professionals substantiate their assessments of the radicalization processes that will develop into violent extremism? We conclude that such initial risk weightings rely strongly on ‘gut feelings’ or intuition. We conclude that this subjectivitymayleadto prejudiceand/oradministrativearbitrariness in relationtopreliminary risk assessment of particular youth.
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Dementia is often diagnosed after emergency situations have emerged.The social network of elderly was studied in order to find out if persons or institutions could help to discover problems in an earlier phase. It was concluded that family is most important, and that information, rather than detection, is more helpful in the period preceding diagnosis. In: Journal of Clinical Nursing; 19 (1), 89
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Bespreking academisch proefschrift N. Boonstra (RU Groningen). Dit proefschrift heeft als centraal thema de vroegtijdige onderkenning van de eerste psychotische symptomen bij psychiatrische patiënten. Een centrale behandeldoelstelling hierbij is om de duur van de onbehandelde psychose (Duration of Untreated Psychosis, afgekort DUP) zo kort mogelijk te Iaten zljn. De DUP verwljst naar de tijd die verstrljkt tussen de eerste manifestatie van psychotische symptomen en het moment waarop een hlerblj passende behandeling start. Een kortere DUP blijkt samen te hangen met een betere prognose van de ziekte, zich ultend in een vroegere en betere remissie, minder psychotische terugval, minder cognitleve achteruitgang, minder psychotische symptomen en beter sociaal functioneren.
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In recent years, drones have increasingly supported First Responders (FRs) in monitoring incidents and providing additional information. However, analysing drone footage is time-intensive and cognitively demanding. In this research, we investigate the use of AI models for the detection of humans in drone footage to aid FRs in tasks such as locating victims. Detecting small-scale objects, particularly humans from high altitudes, poses a challenge for AI systems. We present first steps of introducing and evaluating a series of YOLOv8 Convolutional Neural Networks (CNNs) for human detection from drone images. The models are fine-tuned on a created drone image dataset of the Dutch Fire Services and were able to achieve a 53.1% F1-Score, identifying 439 out of 825 humans in the test dataset. These preliminary findings, validated by an incident commander, highlight the promising utility of these models. Ongoing efforts aim to further refine the models and explore additional technologies.
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“Early warning signs of aggression” refers to recurring changes in behaviors, thoughts, perceptions, and feelings of the patient that are considered to be precursors of aggressive behavior. The early recognition of these signs offers possibilities for early intervention and prevention of aggressive behaviors in forensic patients. The Forensic Early warning Signs of Aggression Inventory (FESAI) was developed to assist nurses and patients in identifying and monitoring these early warning signs of aggression.
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The early detection of breast-cancer-related lymphedema and referral for therapy has the potential to reduce lymphedema-related morbidity. Although research shows the benefits, a gap is observed between evidence and daily practice. We aimed to determine whether the early detection of lymphedema and referral for treatment is adequate following the current guidelines. Women with primary breast cancer treated with breast-conserving therapy or ablative treatment were included. Demographic-, general health-, tumor-, and treatment-related data were recorded. Bilateral arm volume measurements were performed preoperatively and 3, 6, 12, and 24 months post-surgery. A 5% or greater Relative Volume Change was considered the cutoff point for lymphedema and as an indication for therapy referral. After 24 months post-surgery, the main outcomes show that among the patients with early signs of lymphedema, based on a Relative Volume Change ≥5%, a nonreferral for therapy was noted in 83%. Additionally, we observed a significant improvement of the mean Relative Volume Change at 24 months within this group, which might implicate that nonreferral was an adequate choice and that watchful waiting is appropriate when lymphedema is detected within the first year post-surgery.
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