A Method of Evidence-Based Risk Assessment through Modeling Infant Behavior and Injury

Author(s):  
Koji Nomori ◽  
Yoshifumi Nishida ◽  
Yoichi Motomura ◽  
Tatsuhiro Yamanaka ◽  
Akinori Komatsubara
Author(s):  
Koji Nomori ◽  
Yoshifumi Nishida ◽  
Yoichi Motomura ◽  
Tatsuhiro Yamanaka ◽  
Akinori Komatsubara

2016 ◽  
Vol 23 (6) ◽  
pp. taw062 ◽  
Author(s):  
Emily S. Jentes ◽  
R. Ryan Lash ◽  
Michael A. Johansson ◽  
Tyler M. Sharp ◽  
Ronnie Henry ◽  
...  

Criminology ◽  
2021 ◽  
Author(s):  
James C. Oleson

The evidence-based practice (EBP) movement can be traced to a 1992 article in the Journal of the American Medical Association, although decision-making with empirical evidence (rather than tradition, anecdote, or intuition) is obviously much older. Neverthless, for the last twenty-five years, EBP has played a pivotal role in criminal justice, particularly within community corrections. While the prediction of recidivism in parole or probation decisions has attracted relatively little attention, the use of risk measures by sentencing judges is controversial. This might be because sentencing typically involves both backward-looking decisions, related to the blameworthiness of the crime, as well as forward-looking decisions, about the offender’s prospective risk of recidivism. Evidence-based sentencing quantifies the predictive aspects of decision-making by incorporating an assessment of risk factors (which increase recidivism risk), protective factors (which reduce recidivism risk), criminogenic needs (impairments that, if addressed, will reduce recidivism risk), the measurement of recidivism risk, and the identification of optimal recidivism-reducing sentencing interventions. Proponents for evidence-based sentencing claim that it can allow judges to “sentence smarter” by using data to distinguish high-risk offenders (who might be imprisoned to mitigate their recidivism risk) from low-risk offenders (who might be released into the community with relatively little danger). This, proponents suggest, can reduce unnecessary incarceration, decrease costs, and enhance community safety. Critics, however, note that risk assessment typically looks beyond criminal conduct, incorporating demographic and socioeconomic variables. Even if a risk factor is facially neutral (e.g., criminal history), it might operate as a proxy for a constitutionally protected category (e.g., race). The same objectionable variables are used widely in presentence reports, but their incorporation into an actuarial risk score has greater potential to obfuscate facts and reify underlying disparities. The evidence-based sentencing literature is dynamic and rapidly evolving, but this bibliography identifies sources that might prove useful. It first outlines the theoretical foundations of traditional (non-evidence-based) sentencing, identifying resources and overviews. It then identifies sources related to decision-making and prediction, risk assessment logic, criminogenic needs, and responsivity. The bibliography then describes and defends evidence-based sentencing, and identifies works on sentencing variables and risk assessment instruments. It then relates evidence-based sentencing to big data and identifies data issues. Several works on constitutional problems are listed, the proxies problem is described, and sources on philosophical issues are described. The bibliography concludes with a description of validation research, the politics of evidence-based sentencing, and the identification of several current initiatives.


2013 ◽  
Vol 54 (3) ◽  
pp. 201-208 ◽  
Author(s):  
Sidney Zisook ◽  
Joan Anzia ◽  
Ashutosh Atri ◽  
Argelinda Baroni ◽  
Paula Clayton ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Chien-Chin Chen ◽  
Pei-Chun Chiang ◽  
Tsung-Hsien Chen

The recent outbreak of coronavirus disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus 2, has become a global threat. Due to neurological manifestations presented throughout the coronavirus disease process, the potential involvement of COVID-19 in central nervous system has attracted considerable attention. Notably, the neurologic system could be widely affected, with various complications such as acute cerebrovascular events, encephalitis, Guillain-Barré syndrome, and acute necrotizing hemorrhagic encephalopathy. However, the risk assessment of exposure to potential biohazards in the context of the COVID-19 pandemic has not been clearly clarified regarding the sampling, preparation, and processing neurological specimens. Further risk managements and implantations are seldom discussed either. This article aims to provide current recommendations and evidence-based reviews on biosafety issues of preparation and processing of cerebrospinal fluid and neurological specimens with potential coronavirus infection from the bedside to the laboratory.


2019 ◽  
Vol 98 (1) ◽  
pp. 82-86 ◽  
Author(s):  
Aleksandr O. Karelin ◽  
A. Yu. Lomtev ◽  
M. V. Volkodaeva ◽  
G. B. Yeremin

The air pollution has got a great risk to the health of the population. In the risk assessment, objective and subjective uncertainties have appeared. The aim of the study to analyze the uncertainties arising in the assessment of health adverse effects of air pollution and possible ways to decrease them. Methods of the scientific hypothetical deductive cognition, general logical methods, and approaches of researches: analysis, synthesis, abstracting, generalization, induction. In this paper, we analyzed the uncertainties arising in the risk assessment for the health of population caused by air pollution and proposed measures to improve the approaches to assessment and management of the risk. The analysis revealed the main causes of the uncertainties. In the field of the atmospheric air monitoring, they are lack of modern equipment and officially approved methods for measurement, the absence of criteria and recommendation for choosing of controlled air pollutants. For the health assessment, it is advisable to use epidemiological methods and methodology of risk analysis taking into account the uncertainties of each approach. Usage of the geographic information systems let increase the informativity of data and efficiency of analysis. Accurate quantification of the risk for the health of population caused by air pollution is a difficult to challenge. It is necessary to take into account the experience of developed countries in the development of domestic criteria for the selection of substances for the control of atmospheric air quality. It is advisable to combine the analysis of data on the actual concentrations of pollutants obtained at stationary and mobile observation posts, and integrated calculations of air pollution. It is necessary to use basic concepts of evidence-based medicine to identify the real impact of air pollutants on public health and reduce uncertainties. Conclusion. In the assessment of risk for health caused by air pollution a lot of objective and subjective uncertainties appear. Based on the principles of evidence-based medicine, they should be comprehensively analyzed and minimized using modern methodological approaches, taking into account their capabilities and limitations.


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