A Review of the Validity of Juvenile Risk Assessment Across Race/Ethnicity

Author(s):  
Christina Campbell ◽  
William Miller

Juvenile risk assessment instruments have provided juvenile courts with the opportunity to make standardized decisions concerning sentences and intervention needs. Risk assessments have replaced the reliance on professional decision-making practices in which court officials relied on their hunches or previous experience to determine what to do with youth once they became involved in corrections. A primary goal of juvenile risk assessment is to improve case management and help courts focus resources on juveniles who exhibit the greatest intervention needs. Further, juvenile risk assessments play a critical role in estimating which juveniles will likely reoffend by identifying factors that increase the propensity of future offending. Although some researchers believe that the implementation of standardized juvenile risk assessments is a good strategy for reducing biased decision-making for racial/ethnic minorities, other researchers have called into question the extent to which risk assessments overestimate risk for certain juveniles, especially those in minority groups who have a history of being marginalized due to their race, culture, or ethnicity. This article provides an overview of how well juvenile risk assessment instruments predict future delinquency across race and ethnicity. The review suggests that in general, risk assessments do a good job in predicting recidivism across racial/ethnic groups for diverse populations inside and outside the United States. However, there is still some room for improvement concerning the assessment of risk and needs for ethnic minorities. In addition, while there are some studies that do not report the predictive validity of risk assessment scores across race/ethnicity, risk assessments overall seem to be a promising effort to correctly classify and/or identify juveniles who are at greatest risk for future recidivism.

Assessment ◽  
2021 ◽  
pp. 107319112110386
Author(s):  
Violeta J. Rodriguez ◽  
Dominique L. La Barrie ◽  
Miriam C. Zegarac ◽  
Anne Shaffer

The limited inclusion of racial/ethnic minorities in the development and validation of parenting measures limits our understanding of whether parenting constructs are valid in racial and ethnic minorities. Tests of measurement invariance/equivalence (MI/E) of parenting measures can help evaluate the validity of parenting constructs among racial/ethnic minorities. This systematic review summarized studies on MI/E of parenting constructs by race/ethnicity and evaluated the strength of the evidence. A literature search was conducted using various databases and references to retrieve studies from the United States. Indeed, 10 studies were identified that tested for MI/E of eight parenting scales by race/ethnicity. Only one scale showed moderate evidence of MI/E, five showed weak evidence of MI/E, and two showed no evidence of MI/E. Most studies (80%) used factor analytic methods to test for MI/E, but only two studies (20%) examined all levels of invariance. These findings show that differences exist in how racial/ethnic minorities perceive parenting constructs. Further research is needed to develop more inclusive parenting measures, to protect against the ways in which biased measures may pathologize or misrepresent parenting practices among racial/ethnic minorities.


Author(s):  
Rishi Wadhera ◽  
Jose F. Figueroa ◽  
Fatima Rodriguez ◽  
Michael Liu ◽  
Wei Tian ◽  
...  

Background: Cardiovascular deaths increased during the early phase of the COVID-19 pandemic in the United States. However, it is unclear whether racial/ethnic minorities have experienced a disproportionate rise in heart disease and cerebrovascular disease deaths. Methods: We used the National Center for Health Statistics to identify heart disease and cerebrovascular disease deaths for non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, and Hispanic individuals from March-August 2020 (pandemic period), as well as for the corresponding months in 2019 (historical control). We determined the age- and sex-standardized deaths per million by race/ethnicity for each year. We then fit a modified Poisson model with robust standard errors to compare change in deaths by race/ethnicity for each condition in 2020 vs. 2019. Results: There were a total of 339,076 heart disease and 76,767 cerebrovascular disease deaths from March through August 2020, compared to 321,218 and 72,190 deaths during the same months in 2019. Heart disease deaths increased during the pandemic in 2020, compared with the corresponding period in 2019, for non-Hispanic White (age-sex standardized deaths per million, 1234.2 vs. 1208.7; risk ratio for death [RR] 1.02, 95% CI 1.02-1.03), non-Hispanic Black (1783.7 vs. 1503.8; RR 1.19, 1.17-1.20), non-Hispanic Asian (685.7 vs. 577.4; RR 1.19, 1.15-1.22), and Hispanic (968.5 vs. 820.4, RR 1.18, 1.16-1.20) populations. Cerebrovascular disease deaths also increased for non-Hispanic White (268.7 vs. 258.2; RR 1.04, 95% CI 1.03-1.05), non-Hispanic Black (430.7 vs. 379.7; RR 1.13, 95% CI 1.10-1.17), non-Hispanic Asian (236.5 vs. 207.4; RR 1.15, 1.09-1.21), and Hispanic (264.4 vs. 235.9; RR 1.12, 1.08-1.16) populations. For both heart disease and cerebrovascular disease deaths, each racial and ethnic minority group experienced a larger relative increase in deaths than the non-Hispanic White population (interaction term, p<0.001). Conclusions: During the COVID-19 pandemic in the US, Black, Hispanic, and Asian populations experienced a disproportionate rise in deaths due to heart disease and cerebrovascular disease, suggesting that racial/ethnic minorities have been most impacted by the indirect effects of the pandemic. Public health and policy strategies are needed to mitigate the short- and long-term adverse effects of the pandemic on the cardiovascular health of minority populations.


2020 ◽  
pp. 009385482093295
Author(s):  
Sarah L. Desmarais ◽  
Samantha A. Zottola ◽  
Sarah E. Duhart Clarke ◽  
Evan M. Lowder

Bail reform is sweeping the nation and many jurisdictions are looking to pretrial risk assessment as one potential strategy to support these efforts. This article summarizes the findings of a systematic review of research examining the predictive validity of pretrial risk assessments. We reviewed 11 studies (13 publications) examining the predictive validity of six pretrial risk assessment instruments reported in the gray and peer-reviewed literature as of December, 2018. Findings typically show good to excellent predictive validity. Differences in predictive validity for men and women were mixed and small. When it could be examined, predictive validity was generally comparable across racial/ethnic subgroups; however, three comparisons revealed notably lower, albeit still fair to good, predictive validity for defendants of color than White defendants. Findings suggest that pretrial risk assessments predict pretrial outcomes with acceptable accuracy, but also emphasize the need for continued investigation of predictive validity across gender and racial/ethnic subgroups.


2020 ◽  
Author(s):  
Nicholas E Ingraham ◽  
Laura N. Purcell ◽  
Basil S. Karam ◽  
R. Adams Dudley ◽  
Michael G. Usher ◽  
...  

Background Despite past and ongoing efforts to achieve health equity in the United States, persistent disparities in socioeconomic status along with multilevel racism maintain disparate outcomes and appear to be amplified by COVID-19. Objective Measure socioeconomic factors and primary language effects on the risk of COVID-19 severity across and within racial/ethnic groups. Design Retrospective cohort study. Setting Health records of 12 Midwest hospitals and 60 clinics in the U.S. between March 4, 2020 to August 19, 2020. Patients PCR+ COVID-19 patients. Exposures Main exposures included race/ethnicity, area deprivation index (ADI), and primary language. Main Outcomes and Measures The primary outcome was COVID-19 severity using hospitalization within 45 days of diagnosis. Logistic and competing-risk regression models (censored at 45 days and accounting for the competing risk of death prior to hospitalization) assessed the effects of neighborhood-level deprivation (using the ADI) and primary language. Within race effects of ADI and primary language were measured using logistic regression. Results 5,577 COVID-19 patients were included, 866 (n=15.5%) were hospitalized within 45 days of diagnosis. Hospitalized patients were older (60.9 vs. 40.4 years, p<0.001) and more likely to be male (n=425 [49.1%] vs. 2,049 [43.5%], p=0.002). Of those requiring hospitalization, 43.9% (n=381), 19.9% (n=172), 18.6% (n=161), and 11.8% (n=102) were White, Black, Asian, and Hispanic, respectively. Independent of ADI, minority race/ethnicity was associated with COVID-19 severity; Hispanic patients (OR 3.8, 95% CI 2.72-5.30), Asians (OR 2.39, 95% CI 1.74-3.29), and Blacks (OR 1.50, 95% CI 1.15-1.94). ADI was not associated with hospitalization. Non-English speaking (OR 1.91, 95% CI 1.51-2.43) significantly increased odds of hospital admission across and within minority groups. Conclusions Minority populations have increased odds of severe COVID-19 independent of neighborhood deprivation, a commonly suspected driver of disparate outcomes. Non-English-speaking accounts for differences across and within minority populations. These results support the continued concern that racism contributes to disparities during COVID-19 while also highlighting the underappreciated role primary language plays in COVID-19 severity across and within minority groups.


2021 ◽  
Author(s):  
Elizabeth B. Pathak ◽  
Janelle Menard ◽  
Rebecca Garcia

ABSTRACTBackgroundWe examined the geographic and racial/ethnic distribution of the SARS-CoV-2 vaccine age-ineligible population (0-15 years old) in the U.S., and calculated the proportion of the age-eligible population that will need to be vaccinated in a given geo-demographic group in order to achieve either 60% or 75% vaccine coverage for that population as a whole.MethodsUS Census Bureau population estimates for 2019 were used to calculate the percent vaccine ineligible and related measures for counties, states, and the nation as a whole. Vaccination targets for the 30 largest counties by population were calculated. Study measures were calculated for racial/ethnic populations at the national (n=7) and state (n=6) levels.ResultsPercent of population ineligible for vaccine varied widely both geographically and by race/ethnicity. State values ranged from 15.8% in Vermont to 25.7% in Utah, while percent ineligible of the major racial/ethnic groups was 16.4% of non-Hispanic whites, 21.6% of non-Hispanic Blacks, and 27.5% of Hispanics. Achievement of total population vaccine coverage of at least 75% will require vaccinating more than 90% of the population aged 16 years and older in 29 out of 30 of the largest counties in the U.S.ConclusionsThe vaccine-ineligibility of most children for the next 1-2 years, coupled with reported pervasive vaccine hesitancy among adults, especially women and most minorities, means that achievement of adequate levels of vaccine coverage will be very difficult for many vulnerable geographic areas and for several racial/ethnic minority groups, particularly Hispanics, Blacks, and American Indians.


Author(s):  
Jay J. Xu ◽  
Jarvis T. Chen ◽  
Thomas R. Belin ◽  
Ronald S. Brookmeyer ◽  
Marc A. Suchard ◽  
...  

The coronavirus disease 2019 (COVID-19) epidemic in the United States has disproportionately impacted communities of color across the country. Focusing on COVID-19-attributable mortality, we expand upon a national comparative analysis of years of potential life lost (YPLL) attributable to COVID-19 by race/ethnicity (Bassett et al., 2020), estimating percentages of total YPLL for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, non-Hispanic Asians, and non-Hispanic American Indian or Alaska Natives, contrasting them with their respective percent population shares, as well as age-adjusted YPLL rate ratios—anchoring comparisons to non-Hispanic Whites—in each of 45 states and the District of Columbia using data from the National Center for Health Statistics as of 30 December 2020. Using a novel Monte Carlo simulation procedure to perform estimation, our results reveal substantial racial/ethnic disparities in COVID-19-attributable YPLL across states, with a prevailing pattern of non-Hispanic Blacks and Hispanics experiencing disproportionately high and non-Hispanic Whites experiencing disproportionately low COVID-19-attributable YPLL. Furthermore, estimated disparities are generally more pronounced when measuring mortality in terms of YPLL compared to death counts, reflecting the greater intensity of the disparities at younger ages. We also find substantial state-to-state variability in the magnitudes of the estimated racial/ethnic disparities, suggesting that they are driven in large part by social determinants of health whose degree of association with race/ethnicity varies by state.


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.


2018 ◽  
Vol 28 (2) ◽  
pp. 123 ◽  
Author(s):  
Lauren Brown ◽  
Reginald Tucker-Seeley

<p>The recent trend of premature death among Whites in the United States has garnered attention in both the popular and academic literature. This attention has focused on the plight of low socioeconomic status Whites in non-urban areas. The population health lit­erature in general and the health disparities literature more specifically has struggled to describe differences in health when White groups present worse health outcomes or worsening trends compared with racial/ ethnic minority groups. There remain many open questions as population health/health disparities research attempts to explain the increasing mortality rates for low socioeco­nomic status Whites in non-urban areas in relationship to other racial/ethnic groups. As the conversation in the academic and popular literature continues to unfold, a key question for population health research and practice is how will the ‘deaths of despair’ phenomenon among Whites influence our measuring of, and reporting and interven­ing on, race/ethnic health disparities? <em></em></p><p><em>Ethn Dis. </em>2018;28(2):123-128; doi:10.18865/ ed.28.2.123.</p>


2018 ◽  
Vol 41 (5) ◽  
pp. 704-727 ◽  
Author(s):  
Sangmi Kim ◽  
Eun-Ok Im ◽  
Jianghong Liu ◽  
Connie Ulrich

This study aimed to explore race/ethnicity-specific dimensionalities of chronic stress before and during pregnancy for non-Hispanic (N-H) White, N-H Black, Hispanic, and Asian women in the United States. This study analyzed the data among 6,850 women from the New York City and Washington State Pregnancy Risk Assessment Monitoring System (2004-2007) linked with birth certificates. Separate exploratory factor analysis was conducted by race/ethnicity using a maximum-likelihood extraction method with 26 chronic stress items before and during pregnancy. Correlations and internal consistency reliabilities among items and latent factors determined race/ethnicity-specific factor structures of chronic stress. Chronic stress was race/ethnicity-distinctive and multidimensional with low correlations among the factors ( r = .07-.28, p < .05). Despite financial hardship, perceived isolation, and physical violence underlying chronic stress among the racial/ethnic groups, intergroup variations existed under each group’s cultural or sociopolitical contexts. This study could help develop targeted strategies to intervene with women’s chronic stressors before childbirth.


2018 ◽  
Vol 108 ◽  
pp. 379-383 ◽  
Author(s):  
Alfonso Flores-Lagunes ◽  
Hugo B. Jales ◽  
Judith Liu ◽  
Norbert L. Wilson

We document the differences in food insecurity incidence and severity by race/ethnicity and immigrant status over the Great Recession. We show that the disadvantaged groups with a higher incidence of food insecurity do not necessarily have a higher severity of food insecurity, which underscores the importance of examining both the extensive and intensive margins of food insecurity. Our decomposition analysis indicates that the contribution of compositional and structural factors to the observed differences in exposure to food insecurity is heterogeneous across these groups and over the Great Recession. Finally, SNAP does not seem to fundamentally change the patterns documented.


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