Study on Nursing Risk Analysis and Safety Management in Geriatric Psychiatry Department

2021 ◽  
2003 ◽  
Vol 15 (1) ◽  
pp. 69-72 ◽  
Author(s):  
Yesne Alici-Evcimen ◽  
Turan Ertan ◽  
Engin Eker

In this article we report the first series of Turkish inpatients with late-onset psychosis, and describe our 9-year experience at the only inpatient geriatric psychiatry department in Turkey. Among 420 patients hospitalized between 1993 and 2002, 27 were psychotic. In this group, eight patients were diagnosed as having late-onset schizophrenia (LOS) and six very-late-onset schizophrenia-like psychosis (VLOSLP). Five patients had early-onset schizophrenia and eight had delusional disorder. Females were more frequently seen in the group with LOS and the group with VLOSLP. Except for one patient with LOS, all patients with VLOSLP and LOS had paranoid psychosis. Nihilistic delusions, delusions of poverty or guilt, thought withdrawal, thought insertion, and thought broadcasting were not seen in any of the patients. Additionally, none of the LOS or VLOSLP patients showed erotomanic delusions. Grandiose and mystic delusions were not seen in those with VLOSLP. Treatment results and antipsychotic dosages at discharge were similar to those in previous reports from other cultures.


Author(s):  
Miguel Figueres Esteban

New technology brings ever more data to support decision-making for intelligent transport systems. Big Data is no longer a futuristic challenge, it is happening right now: modern railway systems have countless sources of data providing a massive quantity of diverse information on every aspect of operations such as train position and speed, brake applications, passenger numbers, status of the signaling system or reported incidents.The traditional approaches to safety management on the railways have relied on static data sources to populate traditional safety tools such as bow-tie models and fault trees. The Big Data Risk Analysis (BDRA) program for Railways at the University of Huddersfield is investigating how the many Big Data sources from the railway can be combined in a meaningful way to provide a better understanding about the GB railway systems and the environment within which they operate.Moving to BDRA is not simply a matter of scaling-up existing analysis techniques. BDRA has to coordinate and combine a wide range of sources with different types of data and accuracy, and that is not straight-forward. BDRA is structured around three components: data, ontology and visualisation. Each of these components is critical to support the overall framework. This paper describes how these three components are used to get safety knowledge from two data sources by means of ontologies from text documents. This is a part of the ongoing BDRA research that is looking at integrating many large and varied data sources to support railway safety and decision-makers.DOI: http://dx.doi.org/10.4995/CIT2016.2016.1825


2015 ◽  
Vol 6 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Pernille Jul Østergaard ◽  
Lea Nørgreen Gustafsson ◽  
Eyd Hansen Høyer ◽  
Povl Munk-Jørgensen

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jackson Sekasi ◽  
Habeeb Solihu

Purpose Railway-level crossings (RLCs) are the point of intersection between rail and road users and are therefore hotpots of road-rail user conflict and catastrophic collisions. The purpose of this study is to assess the risks associated with RLCs and suggest probable reduction measures. Through questionnaires and visual inspection, the authors identify the safety risks, hazards and hazardous events at some railway crossing of Addis Ababa light rail transit (AA-LRT) north-south (N-S) route. The identified risky events are then categorized based on As Low As Reasonably Practicable (ALARP) principle and generic risk ranking matrix. The authors then examine existing safety management measures at railway crossing and assess the need for additional safety management. Five major crossings on the 16.9 km (10.5 mi) N-S line, starting from Menelik II Square to Kality, were considered for the study. This study is carried out by data collection from about 145 stakeholders and the application of statistical data and risk analysis methods. The major findings of this study and the recommendations for improvement are suggested. Design/methodology/approach The research followed a case study approach. Through questionnaires and visual inspection, the authors identify the safety risks, hazards and hazardous events at some railway crossing of AA-LRT N-S route. The identified risky events are then categorized based on ALARP principle and generic risk ranking matrix. Collected data was then analyzed using SPSS to deduce relationships. Findings The study findings reveal human factors as the greatest cause of accidents, injury or death. About 22% of hazards identified by category are human factors, whereas 20% are because of technical problems. Intolerable risks stand at 42%, whereas the tolerable risks are at 36% according to risk classification results as per the ALARP model. Because the process of risk management is a long-term cycle, its importance should not be missed at any time. Research limitations/implications Because of design considerations of RLCs and the difference in generalized human behaviors for people of a given region, the results are limited to AA-LRT RLCs. This study opens a discourse for detailed evaluations, qualitative and quantitative analysis into the categorized identified hazards. There is also room for additional research into the performance of RLCs aimed at formulating standard necessary features that should be included on RLCs for proper risk control especially in emerging economies. Originality/value The research paper is original and has not been submitted for consideration to other journals.


2020 ◽  
Vol 55 (3) ◽  
Author(s):  
M. Di Nardo ◽  
M. Madonna ◽  
Mosè Gallo ◽  
Teresa Murino

The issues about legislation of safety management, as well as main techniques of "risk analysis and evaluation", are widely integrated in complex production environment. From an organizational and technological point of view, it’s not easy to implement these techniques in Small and Medium Enterprises. In fact, each technique does not permit a complete and exhaustive analysis and quantification of risks. Application of aforementioned methods does allow for achievement of a wide number of benefits. The aim of this paper is to critically analyse both analysis and risk assessment processes. In this paper, integration between System Dynamics and Layers of Protection Analysis technique is provided in order to enhance results of risk management. System Dynamics shows to be very effective in evaluating interaction effect of different incidental scenarios properly identified through risk analysis technique used. System Dynamics modelling permits simulation through changes in time and feedback mechanism. This approach has been validated via testing in a plastic molding plant with a scenario of risk of a massive fire.


2019 ◽  
Vol 25 (2) ◽  
pp. 105-131
Author(s):  
Lindy Newlove-Eriksson

How is accountability in safety management affected in and by public–private urban multiroute stations? To help address this question, major interchanges with newly tunneled lines in London and Stockholm are studied: Stratford station and Stockholm Station City. Differences in origin, national and regional significance, and specific governance features of these megaprojects are identified. Accountability in safety management appears more critiqued in the Swedish case, possibly related to comparatively higher attention to particularities of this “bottleneck” national nexus. Wrought with albeit less visible geographical and geological constraints, the comparative magnitude of London and acclimatization to projects has explanatory value. Similarity in the patchwork of public–private actors, implying fragmented governance jeopardizing accountability is observed in both cases. Both megaprojects span decades, with turnover and lack of institutional memory posing further challenges for accountability and safety. A major finding is that, complementary to standard risk analysis, accountability in the governance of infrastructural megaprojects begs improvement.


Electronics ◽  
2017 ◽  
Vol 6 (3) ◽  
pp. 50 ◽  
Author(s):  
Francesco Grimaccia ◽  
Federica Bonfante ◽  
Manuela Battipede ◽  
Paolo Maggiore ◽  
Edoardo Filippone

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