scholarly journals Predicting Recidivism of Aboriginal Youth Offenders: A Look at an Established Risk Assessment Tool and Culturally-Specific Predictors

2021 ◽  
Author(s):  
Holly A. Wilson
Keyword(s):  
Risk Assessment ◽  
Predictive Validity ◽  
Assessment Tool ◽  
Assessment Tools ◽  
Specific Information ◽  
Youth Offenders ◽  
Culturally Specific ◽  
Aboriginal Youth ◽  
Family Breakdown ◽  
Aboriginal Offenders

The application of standard risk assessment tools with Aboriginal youth offenders has been a highly controversial practice. Criticisms are premised on the fact that risk/need tools are largely founded on the social and historical experiences of non-Aboriginal offenders. In turn, scholars and practitioners have recommended the use of culturally- specific risk/need factors considering Aboriginal culture and the unique context of Aboriginal people in Canada. The current project consists of two studies designed to contribute to our understanding of these concerns. Study 1 examined the predictive validity (both discrimination and calibration) of the YLS/CMI with both Aboriginal and non-Aboriginal youth offenders. Results found that although the YLS/CMI provides adequate discrimination for Aboriginal offenders (AUCs from .555 to .606), it underestimates the absolute recidivism rates of low and moderate risk Aboriginal youth compared to non-Aboriginal youth. Study 2 explored the utility of PSRs as sources of culturally-specific information and examined the predictive validity of those factors included. Results indicate that although a number of culturally-specific factors predicted re-offending, particularly family breakdown and community variables, PSRs are an inconsistent source of this information. Overall, the findings suggest that the predictive validity of the YLS/CMI with Aboriginal offenders may be improved with increased focus on family breakdown and home community. Implications and next steps for both practice and research are discussed.

scholarly journals Predicting Recidivism of Aboriginal Youth Offenders: A Look at an Established Risk Assessment Tool and Culturally-Specific Predictors

2021 ◽  
Author(s):  
Holly A. Wilson
Keyword(s):  
Risk Assessment ◽  
Predictive Validity ◽  
Assessment Tool ◽  
Assessment Tools ◽  
Specific Information ◽  
Youth Offenders ◽  
Culturally Specific ◽  
Aboriginal Youth ◽  
Family Breakdown ◽  
Aboriginal Offenders

The application of standard risk assessment tools with Aboriginal youth offenders has been a highly controversial practice. Criticisms are premised on the fact that risk/need tools are largely founded on the social and historical experiences of non-Aboriginal offenders. In turn, scholars and practitioners have recommended the use of culturally- specific risk/need factors considering Aboriginal culture and the unique context of Aboriginal people in Canada. The current project consists of two studies designed to contribute to our understanding of these concerns. Study 1 examined the predictive validity (both discrimination and calibration) of the YLS/CMI with both Aboriginal and non-Aboriginal youth offenders. Results found that although the YLS/CMI provides adequate discrimination for Aboriginal offenders (AUCs from .555 to .606), it underestimates the absolute recidivism rates of low and moderate risk Aboriginal youth compared to non-Aboriginal youth. Study 2 explored the utility of PSRs as sources of culturally-specific information and examined the predictive validity of those factors included. Results indicate that although a number of culturally-specific factors predicted re-offending, particularly family breakdown and community variables, PSRs are an inconsistent source of this information. Overall, the findings suggest that the predictive validity of the YLS/CMI with Aboriginal offenders may be improved with increased focus on family breakdown and home community. Implications and next steps for both practice and research are discussed.

scholarly journals NanoSafe III: A User Friendly Safety Management System for Nanomaterials in Laboratories and Small Facilities

Nanomaterials ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 2768
Author(s):  
Elina Buitrago ◽  
Anna Maria Novello ◽  
Alke Fink ◽  
Michael Riediker ◽  
Barbara Rothen-Rutishauser ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Assessment Tool ◽  
Safety Management ◽  
Safety Data ◽  
Assessment Tools ◽  
Exposure Model ◽  
Specific Information ◽  
Exposure Limits ◽  
Work Exposure ◽  
Control Banding

Research in nanoscience continues to bring forward a steady stream of new nanomaterials and processes that are being developed and marketed. While scientific committees and expert groups deal with the harmonization of terminology and legal challenges, risk assessors in research labs continue to have to deal with the gap between regulations and rapidly developing information. The risk assessment of nanomaterial processes is currently slow and tedious because it is performed on a material-by-material basis. Safety data sheets are rarely available for (new) nanomaterials, and even when they are, they often lack nano-specific information. Exposure estimations or measurements are difficult to perform and require sophisticated and expensive equipment and personal expertise. The use of banding-based risk assessment tools for laboratory environments is an efficient way to evaluate the occupational risks associated with nanomaterials. Herein, we present an updated version of our risk assessment tool for working with nanomaterials based on a three-step control banding approach and the precautionary principle. The first step is to determine the hazard band of the nanomaterial. A decision tree allows the assignment of the material to one of three bands based on known or expected effects on human health. In the second step, the work exposure is evaluated and the processes are classified into three “nano” levels for each specific hazard band. The work exposure is estimated using a laboratory exposure model. The result of this calculation in combination with recommended occupational exposure limits (rOEL) for nanomaterials and an additional safety factor gives the final “nano” level. Finally, we update the technical, organizational, and personal protective measures to allow nanomaterial processes to be established in research environments.

scholarly journals Predicting Women’s Recidivism Using the Dynamic Risk Assessment for Offender Re-Entry: Preliminary Evidence of Predictive Validity With Community-Sentenced Women Using a “Gender-Neutral” Risk Measure

2020 ◽  
Vol 47 (3) ◽  
pp. 251-270
Author(s):  
Jessica M. Scanlan ◽  
Julia A. Yesberg ◽  
Clare-Ann Fortune ◽  
Devon L. L. Polaschek
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Predictive Validity ◽  
Assessment Tool ◽  
Risk Measure ◽  
Assessment Tools ◽  
Community Supervision ◽  
Dynamic Risk ◽  
Gender Neutral ◽  
Dynamic Risk Assessment

Although men and women share risk factors for offending, some scholars suggest these factors operate differently across gender and that women-specific risk factors are neglected in existing “gender-neutral” risk assessment tools. This article explored the predictive validity of one gender-neutral risk assessment tool—the Dynamic Risk Assessment for Offender Re-Entry (DRAOR)—with matched samples of women and men serving community supervision sentences. Total DRAOR scores had comparative predictive validity across gender. For women and men, the DRAOR predicted reconviction over a static risk measure. The findings support the general premise of gender neutrality, but do not necessarily suggest the DRAOR, or gender-neutral tools more broadly, are the best tools for use with women.

The Prediction of Youth Recidivism in a Spanish Roma Population by the Youth Level of Service/Case Management Inventory (YLS/CMI)

2021 ◽  
pp. 0306624X2110226
Author(s):  
Aitana Gomis-Pomares ◽  
Lidón Villanueva ◽  
Juan E. Adrián
Keyword(s):  
Case Management ◽  
Predictive Validity ◽  
Assessment Tools ◽  
Risk Scores ◽  
Level Of Service ◽  
Recidivism Rate ◽  
Youth Offenders ◽  
Disparate Impact ◽  
Roma Population ◽  
Risk Assessment Tools

Despite the increasing interest in the accuracy of youth risk assessment tools, the amount of research with ethnic minorities remains relatively modest. For this reason, the main goal of this study was to assess the predictive validity and disparate impact of the Youth Level of Service/Case Management Inventory (YLS/CMI) in a Spanish ethnic minority. The participants consisted of 88 Roma youth offenders and 135 non-Roma youth offenders, aged between 14 and 17 years old. Their risk of recidivism was assessed by means of the YLS/CMI Inventory and their recidivism rate was obtained from the Juvenile Justice Department. Results showed that the Inventory presented slightly lower predictive validity for the Roma group. Moreover, Roma juveniles presented higher risk scores and lower strength scores than non-Roma juveniles. These results supported the idea that professionals must therefore be aware of these cultural differences in predictive validity and the existent potentiality for disparate impact.

Reliability and Predictive Validity of a Consensus-Based Risk Assessment Tool

2008 ◽  
Vol 2 (2) ◽  
pp. 173-195 ◽  
Author(s):  
James G. Barber ◽  
Aron Shlonsky ◽  
Tara Black ◽  
Deborah Goodman ◽  
Nico Trocmé
Keyword(s):  
Risk Assessment ◽  
Predictive Validity ◽  
Assessment Tool ◽  
Risk Assessment Tool

scholarly journals Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data (Preprint)

2018 ◽  
Author(s):  
Insook Cho ◽  
Eun-Hee Boo ◽  
Eunja Chung ◽  
David W. Bates ◽  
Patricia Dykes
Keyword(s):  
Risk Assessment ◽  
Error Rate ◽  
Fall Risk ◽  
Assessment Tool ◽  
Assessment Tools ◽  
Fall Risk Assessment ◽  
C Statistic ◽  
Risk Assessment Tools ◽  
Hospital Days ◽  
Cross Site

BACKGROUND Electronic medical records (EMRs) contain a considerable amount of information about patients. The rapid adoption of EMRs and the integration of nursing data into clinical repositories have made large quantities of clinical data available for both clinical practice and research. OBJECTIVE In this study, we aimed to investigate whether readily available longitudinal EMR data including nursing records could be utilized to compute the risk of inpatient falls and to assess their accuracy compared with existing fall risk assessment tools. METHODS We used 2 study cohorts from 2 tertiary hospitals, located near Seoul, South Korea, with different EMR systems. The modeling cohort included 14,307 admissions (122,179 hospital days), and the validation cohort comprised 21,172 admissions (175,592 hospital days) from each of 6 nursing units. A probabilistic Bayesian network model was used, and patient data were divided into windows with a length of 24 hours. In addition, data on existing fall risk assessment tools, nursing processes, Korean Patient Classification System groups, and medications and administration data were used as model parameters. Model evaluation metrics were averaged using 10-fold cross-validation. RESULTS The initial model showed an error rate of 11.7% and a spherical payoff of 0.91 with a c-statistic of 0.96, which represent far superior performance compared with that for the existing fall risk assessment tool (c-statistic=0.69). The cross-site validation revealed an error rate of 4.87% and a spherical payoff of 0.96 with a c-statistic of 0.99 compared with a c-statistic of 0.65 for the existing fall risk assessment tool. The calibration curves for the model displayed more reliable results than those for the fall risk assessment tools alone. In addition, nursing intervention data showed potential contributions to reducing the variance in the fall rate as did the risk factors of individual patients. CONCLUSIONS A risk prediction model that considers longitudinal EMR data including nursing interventions can improve the ability to identify individual patients likely to fall.

Safety and Ergonomics Risk Assessment (SERA): A Customized Ergonomics Assessment Tool for Automobile Manufacturing

2021 ◽  
Author(s):  
Marc Snell ◽  
Arman Dehghani ◽  
Fabian Guenkzkofer ◽  
Stefan Kaltenbrunner
Keyword(s):  
Risk Assessment ◽  
Assessment Tool ◽  
Assessment Method ◽  
International Standards ◽  
Assessment Tools ◽  
Scientific Methods ◽  
Automobile Manufacturing ◽  
International Reporting ◽  
Database Implementation ◽  
And Training

Musculoskeletal disorders continue to be a leading source of lost workdays across all industries. Common ergonomics assessment tools may include criteria extraneous to the stresses at specific companies or industries. Therefore, the creation of assessment tools, based on scientifically validated methods, with industry- or company-specific stresses may be of benefit. The BMW Group has developed the Safety and Ergonomics Risk Assessment (SERA) tool. This ergonomics assessment method incorporates the most up-to-date scientific methods and international standards, and is used worldwide in all production facilities of the BMW Group. As noted above, a major advantage of SERA over conventional ergonomics tools is the focus on ergonomics stresses common to automobile manufacturing and the consequent exclusion of irrelevant parameters, thereby reducing the time, effort, and training required for workplace assessments. Other advantages include the international uniformity of assessments and a web- and database-implementation allowing for easily comparable international reporting. The implementation of this method at the BMW Group has enabled a greater transparency for ergonomics across all international plants, and more effective and targeted ergonomics interventions. This publication will outline the basic motivation for SERA, highlight the relevant scientific sources and international standards, and general steps of an evaluation.

Further validation of an opioid risk assessment tool: The Brief Risk Interview

2014 ◽  
Vol 10 (5) ◽  
pp. 353 ◽  
Author(s):  
Ted Jones, PhD ◽  
Samantha Lookatch, MA ◽  
Patricia Grant, MS, ANP-C ◽  
Janice McIntyre, MS, ANP-C ◽  
Todd Moore, PhD
Keyword(s):  
Risk Assessment ◽  
Chronic Pain ◽  
Assessment Tool ◽  
Predictive Accuracy ◽  
Training Session ◽  
Predictive Ability ◽  
Standard Of Care ◽  
Assessment Tools ◽  
Risk Assessment Tool ◽  
Aberrant Behavior

Opioids remain a common method of treating chronic pain conditions despite some controversy. In an effort to address some of the risks of opioid medications, opioid risk assessment has become a standard of care when opioids are used to treat a chronic pain condition. Research to date has found that clinical interviews may be superior to currently available patient-completed written questionnaires in identifying patients likely to engage in medication aberrant behavior. The Brief Risk Interview (BRI) has been developed as a risk assessment tool that has the sensitivity of a clinical interview while eliminating the need for the lengthy process of an interview. The current study compared the predictive ability of the BRI with two commonly used patient-completed risk assessment tools: the Opioid Risk Tool (ORT) and the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R). After clinical staff at a pain practice underwent a 1-hour training program, 124 consecutive new patients were evaluated using the BRI, ORT, and SOAPP-R. Follow-up data found that the BRI was a good predictor of medication aberrant behavior and offered better sensitivity and better overall predictive accuracy than the ORT or the SOAPP-R. Overall, it appears that the BRI is a valid risk assessment tool that, after a brief training session, can be used effectively by pain clinicians. Further study is needed in other practice settings and with larger sample sizes.

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