Search results

Adverse childhood experiences (ACEs) are highly prevalent in people with developmental disorders who engage in offending behaviour. Many violence-based risk assessment tools include items pertaining to ACEs, and may inflate risk scores in trauma-exposed groups. This paper aims to explore the relationships between ACEs, risk assessment scores, incidents of risk and restrictive practices, in adolescents with developmental disorders in a forensic inpatient setting.

Secondary analysis was conducted on clinical data for 34 adolescents detained to a developmental disorder service. Data were extracted for Structured Assessment of Violence Risk in Youth (SAVRY) risk scores and risk behaviours and restrictive practices, as measures of observed risk.

Participants exposed to more ACEs had higher SAVRY risk scores (p < 0.001, two-tailed), with elevations specifically on the historical subscale (p < 0.001, two-tailed). Neither ACEs nor risk scores were associated with the frequency of risk behaviours. Nevertheless, participants exposed to four or more ACEs were secluded more frequently (p = 0.015, two-tailed), indicating a potential association between trauma and risk severity. Those with more complex developmental disorders experienced fewer ACEs (p = 0.02, two-tailed) and engaged in self-harm behaviours less frequently (p = 0.04, two-tailed).

The inclusion of ACEs in risk assessment tools may lead to the inadvertent stigmatization of trauma-exposed individuals. Further investigation is necessary to offer clarity on the impact of early adversity on risk assessment accuracy and levels of institutional risk, and the role of developmental disorders in this relationship.

To the best of the authors’ knowledge, this study is the first to explore the relative associations between ACEs, risk assessment scores and observed institutional risk and does so in a highly marginalized population.

This paper investigates the extent to which country risk ratings influence the inflow of foreign direct investment (FDI). Using International Monetary Fund (IMF) data from over 100 countries and Euromoney’s country risk ratings over a ten‐year period, this study finds that country risk ratings have a significant influence on FDI. This effect is stronger for US FDI. We also analyze the relative importance of the individual components of the country risk index.

Failure to rescue events, or events involving preventable deaths from complications, are a significant contributor to inpatient mortality. While many interventions have been designed and implemented over several decades, this patient safety issue remains at the forefront of concern for most hospitals. In the first part of this study, the development and implementation of one type of highly studied and widely adopted rescue intervention, algorithm-based patient assessment tools, is examined. The analysis summarizes how a lack of systems-oriented approaches in the design and implementation of these tools has resulted in suboptimal understanding of patient risk of mortality and complications and the early recognition of patient deterioration. The gaps identified impact several critical aspects of excellent patient care, including information-sharing across care settings, support for the development of shared mental models within care teams, and access to timely and accurate patient information.

This chapter describes the use of several system-oriented design and implementation activities to establish design objectives, model clinical processes and workflows, and create an extensible information system model to maximize the benefits of patient state and risk assessment tools in the inpatient setting. A prototype based on the product of the design activities is discussed along with system-level considerations for implementation. This study also demonstrates the effectiveness and impact of applying systems design principles and practices to real-world clinical applications.

This paper seeks to discuss the development of a prototype index of the factors influencing mental wellbeing in local areas in England.

To support developments in mental health policy, a prototype version of an index of the extent of factors affecting wellbeing was developed for the 149 local government areas (local authorities). The work was based on a well‐developed conceptualisation of factors affecting mental wellbeing set out in a current Department of Health background paper. This identified five domains of relevant factors with positive and negative influences in each. For each of the five domains (“a positive start in life”, “resilience and a safe and secure base”, “integrated physical and mental health” “sustainable, connected communities”, and “meaning and purpose”), the authors attempted to find proxy measures of positive and risk factors among routinely collected government statistics. This proved difficult; measures for positive factors in three domains and risk factors in four domains were identified. These were combined to give scores for overall positive and negative influences on wellbeing and a resulting overall index. This was done using the methods developed for the English Index of Multiple Deprivation.

Positive factor scores are generally higher in rural areas, particularly the West Midlands, Bedfordshire, and Cambridgeshire, a southerly strip from Somerset and Dorset to Surrey, and Yorkshire, and Northumberland in the north. In London, Richmond, Bromley, and Havering score highly. High‐risk factor scores are generally seen in most urban areas, with a band of high scores from Liverpool and Manchester, through the West Yorkshire towns to Hull and Scunthorpe, clusters in the North East around Tyneside and Teesside and central London, particularly Hackney, Haringey, Islington, Southwark, Lambeth, and Kensington and Chelsea. In London, Richmond, Harrow, and Redbridge have notably low scores. Some notable regional differences were seen in the patterns of positive and risk rankings. The North East, Yorkshire and the Humber, and the North West stand out as having generally higher positive scores for any level of risk than Midland and Southern regions; London authorities have the lowest positive – in relation to risk scores.

The authors hope that the publication of a pilot study may prove helpful in identifying some of the issues which will need to be tackled if a fully working index in this area is to be developed.

Motor-vehicle-related events (MVEs) are the leading cause of on-duty death for law enforcement officers, yet little is known about how officers view this significant job hazard. The purpose of this paper is to explore officers’ motor-vehicle risk perception and examine how prior on-duty MVEs and the death or injury of a fellow officer influences this perception.

A state-wide random sample of 136 law enforcement agencies was drawn using publically accessible databases, stratified on type and size of agency. In total, 60 agencies agreed to participate and a cross-sectional questionnaire was distributed to 1,466 officers. Using six-point Likert scales, composite scores for motor-vehicle and intentional violence risk perception were derived. A linear regression multivariable model was used to examine factors affecting motor-vehicle risk perception.

Motor-vehicle risk perception scores were significantly higher than intentional violence scores. A prior on-duty motor-vehicle crash, prior roadside incident, or knowledge of fellow officer’s injury or death from a MVE significantly increased motor-vehicle risk perception scores. After controlling for potential confounders though, only prior on-duty crashes and roadside incidents impacted motor-vehicle risk perception.

The study comprised primarily small, rural agencies and generalizability may be limited. Also, although the data were collected anonymously, reporting and response biases may affect these findings.

This study involved a large and diverse cohort of officers and explored motor-vehicle risk perception. A better understanding of officers’ risk perceptions will assist in the development and implementation of occupational injury prevention programs, training, and policy.

This paper attempts to summarize the information contained in bank financial statements on the risk management capabilities of banks and then ascertains the sensitivity of bank stocks to risk management.

The theoretical framework is derived from a bank's accounting identities. The paper interprets the selected accounting ratios as risk management variables and attempts to gauge the overall risk management capability of banks by summarizing these accounting ratios as scores through the application of multivariate statistical techniques. Finally, the paper analyzes the impact of these risk management scores on stock returns through regression analysis.

The results based on data for Indian banks reveal that banks' risk management capabilities have been improving over time except for in the last two years. Returns on the banks' stocks appear to be sensitive to risk management capability of banks.

The results suggest that banks that want to enhance shareholder wealth have to focus on successfully managing various underlying risks. The findings have implications for investors who may benefit by going long on shares of banks that are better risk managers. The findings are useful for the regulator in developing quantitative indicators of soundness of the banking system.

First, this study suggests a novel way of looking at bank financial statements, i.e. from the risk management perspective. Second, the study develops summary scores of risk management capabilities of banks. Third, risk management is shown to be an important determinant of stock returns of banks.

Discusses research recently carried out by Delyn BC and the Audit Commission in its search for performance indicators for the environmental health food safety function, and how this can facilitate improved analysis of “Hazard” and “Risk Management” performance in food premises. Analysis has been made of risk assessment scores from 8,000 food premises inspections carried out by Environmental Health Officers from varying LAs, which have been transferred into a computerized database, located at Delyn BC. Interpretation and observation of the results and illustrations has revealed some fascinating similarities between the LA data presented. Implementation of these proposals could provide more uniform risk analysis and enhanced enforcement standards in food premises, leading to improved food safety by enabling the more accurate focusing of resources and efforts to where they are most needed and effective.

Healthcare-associated infections (HAIs) are a major cause of concern because of the high levels of associated morbidity, mortality, and cost. In addition, children and intensive care unit (ICU) patients are more vulnerable to these infections due to low levels of immunity. Various medical interventions and statistical process control techniques have been suggested to counter the spread of these infections and aid early detection of an infection outbreak. Methods such as hand hygiene help in the prevention of HAIs and are well-documented in the literature. This chapter demonstrates the utilization of a systems methodology to model and validate factors that contribute to the risk of HAIs in a pediatric ICU. It proposes an approach that has three unique aspects: it studies the problem of HAIs as a whole by focusing on several HAIs instead of a single type, it projects the effects of interventions onto the general patient population using the system-level model, and it studies both medical and behavioral interventions and compares their effectiveness. This methodology uses a systems modeling framework that includes simulation, risk analysis, and statistical techniques for studying interventions to reduce the transmission likelihood of HAIs.

Environmental, social and governance (ESG) scores are becoming increasingly relevant in academic literature and the corporate world. This is partly because the themes covered by ESG scores are intended to resolve multiple major social and environmental issues. However, there is little consensus among academics about the definition of ESG scores and their measures. Many scholars have used ESG scores to represent various issues. The purpose of this study is to gather all definitions that were used by scholar when using ESG scores in their research.

This systematic literature review aims to identify how ESG scores are presented in the academic literature. A total of 4,145 articles were identified, of which 342 articles from influential peer-reviewed journals were retained.

In the articles, five different thematic definitions emerged in terms of how scholars have used ESG scores in their research: sustainability, corporate social responsibility, disclosure, finance and the analysis of ESG scores. Although some definitions are consistent with the methodologies of the agencies that produce ESG scores, others raise further questions. Caution is required when using ESG scores as a metric. They represent financial adjusted risk-return for some and are used to express business sustainability for others.

Only top-ranked journals were analyzed. In addition, only the key terms “ESG Score” and “ESG Scores” were used to gather all research papers.

Researchers could improve the accuracy of their results by developing specific methodologies that are closely related to the issues intended to be measured. The underlying variables composing the ESG scores could be used instead of the final score for more accurate environmental or social issues measurements.

This research shows that scholars use ESG scores to represent multiple issues that are not always captured by ESG scores’ official methodologies. ESG scores can express the overall performance of environmental and social issues, but they cannot be used to track specific underlying issues.

The purpose of this paper is to examine the performance of the agricultural banking industry using both traditional and risk‐adjusted non‐parametric efficiency measurement techniques. In addition to computing efficiency scores, the risk preference structure of the agricultural banking industry is examined.

The paper used data envelopment analysis (DEA) to examine the efficiency of agricultural banks in the year 2001. Standard cost efficiency is computed and compared to both profit and risk‐adjusted profit efficiency scores. The risk‐adjustment is a modification of traditional DEA wherein firm preferences are represented via a mean‐variance criterion. The risk‐adjusted technique also provides estimates of firm level risk aversion.

Results from the traditional approach that does not account for risk indicate a low degree of efficiency in the banking industry, while the risk‐adjusted approach indicates banks are much more efficient. On average, 77 percent of the inefficiency identified by the standard DEA formulation is actually attributable to risk averse behavior by the firm. In addition, most banks appear to be substantially risk averse.

The risk‐adjusted DEA technique used in this study should be applied to other, diverse data sets to examine its performance in a broader context.

Results from this study support the idea that traditional DEA methods may mischaracterize the level of efficiency in the data if agents are risk averse. In addition, the paper outlines a practical method for deriving firm level risk aversion coefficients.

This paper sheds light on the agricultural banking industry and illustrates the power of a new efficiency and risk analysis technique.