Mass Probation: Effects of Sentencing Severity on Mental Health for Black and White Individuals

BACKGROUND

Incarceration is associated with negative impacts on mental health. Probation, a form of community supervision, has been lauded as an alternative. However, the effect of probation versus incarceration on mental health is unclear. Our objective was to estimate the impact on mental health of reducing sentencing severity at individuals' first adult criminal-legal encounter.

METHODS

We used the US National Longitudinal Survey on Youth 1997, a nationally representative dataset of youth followed into their mid-thirties. Restricting to those with an adult encounter (arrest, charge alone or no sentence, probation, incarceration), we used parametric g-computation to estimate the difference in mental health at age 30 (Mental Health Inventory-5) if (1) everyone who received incarceration for their first encounter had received probation and (2) everyone who received probation had received no sentence.

RESULTS

Among 1835 individuals with adult encounters, 19% were non-Hispanic Black and 65% were non-Hispanic White. Median age at first encounter was 20. Under hypothetical interventions to reduce sentencing, we did not see better mental health overall (Intervention 1, incarceration to probation: RD = -0.01; CI = -0.02, 0.01; Intervention 2, probation to no sentence: RD = 0.00; CI = -0.01, 0.01) or when stratified by race.

CONCLUSION

Among those with criminal-legal encounters, hypothetical interventions to reduce sentencing, including incremental sentencing reductions, were not associated with improved mental health. Future work should consider the effects of preventing individuals' first criminal-legal encounter.

Mass probation: Temporal and geographic correlation of county-level probation rates & mental health in North Carolina

High community incarceration rates are associated with worse community mental health. However, it remains unknown whether higher rates of probation, a form of criminal legal community supervision, are similarly associated with worse community mental health. Our objective was to evaluate temporal and geographic correlations of county-level probation and mental health rates separately and to assess the association between county-level probation and mental health rates, measured by self-inflicted injury and suicide. We performed ecological analyses using North Carolina administrative data (2009-2019) and used repeated cross-section, multivariable spatial error models. From 2009 to 2019, probation rates trended downward while self-inflicted injury and suicide remained stable. We found positive spatial autocorrelation suggesting that there are spatial determinants of probation and self-harm, though less so for suicide. Hot spot analyses showed local variation with high self-harm and suicide rates being clustered in rural Western North Carolina and high probation rates being clustered in rural Eastern North Carolina. Probation was positively associated with self-inflicted injury and suicide. For example, in 2018, a 1 percentage point increase in probation was associated with a 0.05 percentage point increase in self-harm in 2019 (95% CI: 0.03, 0.06), meaning that in a county of 100,000 people, an increase in 1000 county residents being on probation would be associated with an increase in 50 self-harm injuries. High county-level probation rates may exert collateral damage on the mental health of those living in areas with much of the population under state control. These findings emphasize that the criminal legal system is not separate from communities and that future public health research and advocacy must consider these collateral consequences of probation on communities.

Characterization of parental intention to vaccinate elementary school aged children in the state of California

In October 2021, Emergency Use Authorization of Coronavirus Disease 2019 (COVID-19) vaccines was granted for children aged 5-11. To ensure vaccine uptake in children upon approval, California will implement a state-wide executive order mandating COVID-19 vaccination for school children following full US FDA approval. This study uses survey data collected between November 6th, 2020 and December 14th, 2020 (n = 2091) to identify how sociodemographic characteristics and attitudes towards childhood vaccines among California parents were associated with their intentions to vaccinate their child against COVID-19. About one quarter (26 %) of surveyed California parents did not intend to vaccinate their child, suggesting skepticism towards the COVID-19 vaccine for children and the potential for pushback to a COVID-19 vaccine school-entry mandate. However, 17 % were unsure of their decision, suggesting the potential for public health messaging to make a positive impact on COVID-19 vaccine confidence and uptake. This study identifies characteristics of hesitant parents in California to prioritize for research and outreach. These data also provide a baseline for parental attitudes towards vaccinating children against COVID-19 in California, which will be useful for characterizing changes in attitudes towards childhood COVID-19 vaccination over time.

Inequities in life course criminal legal system sanctions: measuring cumulative involvement

PURPOSE

The impact of incarceration on health is well known. Yet, most studies measure incarceration alone and miss additional exposure to the criminal legal system over time. We evaluated adult criminal legal sanctions - inclusive of arrests, charges, probation, incarceration - from ages 18-35 and inequities by juvenile sanctions and race.

METHODS

Using the National Longitudinal Survey on Youth 1997, a nationally representative data set of adolescents followed into their mid-thirties (1997-2017), we calculated the mean cumulative count, or the average number of criminal legal events per person per study visit, stratified by juvenile sanctions and race.

RESULTS

Of 7024 participants, 1679 experienced 3,075 encounters. There were seven arrests, 30 charges, nine probation encounters, and 13 incarceration events /100 participants by age 35. Juvenile sanctions were most common for Black individuals. Among those experiencing juvenile sanctions, Black and White individuals had similar numbers of encounters, but Black individuals had more arrests and incarceration stays. For those without juvenile encounters, Black individuals had more encounters than White individuals.

CONCLUSIONS

Research on health effects of criminal legal sanctions must consider encounters beyond incarceration and focus on life course trajectories and racial inequities.

Use of Modeling to Inform Decision Making in North Carolina during the COVID-19 Pandemic: A Qualitative Study

Background. The COVID-19 pandemic has popularized computer-based decision-support models, which are commonly used to inform decision making amidst complexity. Understanding what organizational decision makers prefer from these models is needed to inform model development during this and future crises. Methods. We recruited and interviewed decision makers from North Carolina across 9 sectors to understand organizational decision-making processes during the first year of the COVID-19 pandemic (N = 44). For this study, we identified and analyzed a subset of responses from interviewees (n = 19) who reported using modeling to inform decision making. We used conventional content analysis to analyze themes from this convenience sample with respect to the source of models and their applications, the value of modeling and recommended applications, and hesitancies toward the use of models. Results. Models were used to compare trends in disease spread across localities, estimate the effects of social distancing policies, and allocate scarce resources, with some interviewees depending on multiple models. Decision makers desired more granular models, capable of projecting disease spread within subpopulations and estimating where local outbreaks could occur, and incorporating a broad set of outcomes, such as social well-being. Hesitancies to the use of modeling included doubts that models could reflect nuances of human behavior, concerns about the quality of data used in models, and the limited amount of modeling specific to the local context. Conclusions. Decision makers perceived modeling as valuable for informing organizational decisions yet described varied ability and willingness to use models for this purpose. These data present an opportunity to educate organizational decision makers on the merits of decision-support modeling and to inform modeling teams on how to build more responsive models that address the needs of organizational decision makers.

Public health critical race praxis at the intersection of traffic stops and injury epidemiology

BACKGROUND

Law enforcement traffic stops are one of the most common entryways to the US justice system. Conventional frameworks suggest traffic stops promote public safety by reducing dangerous driving practices and non-vehicular crime with little to no collateral damage to individuals and communities. Critical frameworks interrogate these assumptions, identifying significant individual and community harms that disparately impact Black, Indigenous, and People of Color (BIPOC) and low-income communities.

METHODS

The Public Health Critical Race Praxis (PHCRP) and multi-level frameworks from community anti-racist training were combined into a structured diagram to guide intervention and research teams in contrasting conventional and critical perspectives on traffic stops. The diagram divides law enforcement and drivers/residents as two separate agent types that interact during traffic stops. These two agent types have different conventional and critical histories, priorities, and perspectives at multiple levels, including individual, interpersonal, institutional, and cultural levels. Conventional solutions (identifying explicitly racist officers, "meet-a-cop" programs, police interaction training for drivers) are born from conventional frameworks (rewarding crime prevention regardless of cost, the war on drugs saves lives, driver behavior perfectionism). While conventional perspectives focus on individual and interpersonal levels, critical perspectives more deeply acknowledge dynamics at institutional and cultural levels. Critical solutions may be hard to discover without critical frameworks, including that law enforcement creates measurable collateral damage and disparate social control effects; neighborhood patrol priorities can be set without community self-determination or accountability and may trump individual and interpersonal dynamics; and the war on drugs is highly racialized and disproportionally enforced through traffic stop programs.

CONCLUSIONS

Traffic stop enforcement and crash prevention programs that do not deeply and critically consider these dynamics at multiple levels, not just law enforcement-driver interactions at the individual and interpersonal levels, may be at increased risk of propagating histories of BIPOC discrimination. In contrast, public health and transportation researchers and practitioners engaged in crash and injury prevention strategies that employ law enforcement should critically consider disparate history and impacts of law enforcement in BIPOC communities. PHCRP, anti-racism frameworks, and the included diagram may assist them in organizing critical thinking about research studies, interventions, and impacts.

Can vaccine prioritization reduce disparities in COVID-19 burden for historically marginalized populations?

SARS-CoV-2 vaccination strategies were designed to reduce COVID-19 mortality, morbidity, and health inequities. To assess the impact of vaccination strategies on disparities in COVID-19 burden among historically marginalized populations (HMPs), e.g. Black race and Hispanic ethnicity, we used an agent-based simulation model, populated with census-tract data from North Carolina. We projected COVID-19 deaths, hospitalizations, and cases from 2020 July 1 to 2021 December 31, and estimated racial/ethnic disparities in COVID-19 outcomes. We modeled 2-stage vaccination prioritization scenarios applied to sub-groups including essential workers, older adults (65+), adults with high-risk health conditions, HMPs, or people in low-income tracts. Additionally, we estimated the effects of maximal uptake (100% for HMP vs. 100% for everyone), and distribution to only susceptible people. We found strategies prioritizing essential workers, then older adults led to the largest mortality and case reductions compared to no prioritization. Under baseline uptake scenarios, the age-adjusted mortality for HMPs was higher (e.g. 33.3%-34.1% higher for the Black population and 13.3%-17.0% for the Hispanic population) compared to the White population. The burden on HMPs decreased only when uptake was increased to 100% in HMPs; however, the Black population still had the highest relative mortality rate even when targeted distribution strategies were employed. If prioritization schemes were not paired with increased uptake in HMPs, disparities did not improve. The vaccination strategies publicly outlined were insufficient, exacerbating disparities between racial and ethnic groups. Strategies targeted to increase vaccine uptake among HMPs are needed to ensure equitable distribution and minimize disparities in outcomes.

Vaccinating Children Against COVID-19 is Essential Prior to the Removal of Non-Pharmaceutical Interventions

OBJECTIVESS

To evaluate the joint impact of childhood vaccination rates and masking policies, in schools and workplaces, on community transmission and severe outcomes due to COVID-19.

STUDY DESIGN

We utilized a stochastic, agent-based simulation of North Carolina, to evaluate the impact of 24 health policy decisions on overall incidence of disease, COVID-19 related hospitalization, and mortality from July 1, 2021-July 1, 2023.

RESULTS

Universal mask removal in schools in January 2022 could lead to a 38.1-47%, 27.6-36.2%, and 15.9-19.7% increase in cumulative infections for ages 5-9, 10-19, and the total population, respectively, depending on the rate of vaccination of children relative to the adult population. Additionally, without increased vaccination uptake in the adult population, a 25% increase in child vaccination uptake from 50% to 75% uptake and from 75% to 100% uptake relative to the adult population, leads to a 22% and 18% or 28% and 33% decrease in peak hospitalizations in 2022 across scenarios when masks are removed either January 1st or March 8th 2022, respectively. Increasing vaccination uptake for the entire eligible population can reduce peak hospitalizations in 2022 by an average of 89% and 92% across all masking scenarios compared to the scenarios where no children are vaccinated.

CONCLUSIONS

High vaccination uptake among both children and adults is necessary to mitigate the increase in infections from mask removal in schools and workplaces.

Geographic patterns and socioeconomic differences in the nutritional quality of household packaged food purchases in the United States

BACKGROUND

It is unclear whether dietary quality varies by geography in the US.

PURPOSE

Assess patterns in packaged food purchases (PFPs).

METHODS

We characterized variation in PFP quality from 2008 to 2018 by 1) examining geographic clustering and 2) using regression analysis to control for household characteristics.

RESULTS

Lower quality purchases clustered in the Southeast and Appalachia, whereas higher quality purchases clustered in the West and Northeast. Spatial patterns were similar for low socioeconomic households but not high socioeconomic households. Geographic differences in quality remained after controlling for demographic composition.

CONCLUSION

This analysis should inform research into systemic drivers of PFP quality.

Racial Disparities in Coronavirus Disease 2019 (COVID-19) Mortality Are Driven by Unequal Infection Risks

Background

As of 1 November 2020, there have been >230 000 deaths and 9 million confirmed and probable cases attributable to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the United States. However, this overwhelming toll has not been distributed equally, with geographic, race/ethnic, age, and socioeconomic disparities in exposure and mortality defining features of the US coronavirus disease 2019 (COVID-19) epidemic.

Methods

We used individual-level COVID-19 incidence and mortality data from the state of Michigan to estimate age-specific incidence and mortality rates by race/ethnic group. Data were analyzed using hierarchical Bayesian regression models, and model results were validated using posterior predictive checks.

Results

In crude and age-standardized analyses we found rates of incidence and mortality more than twice as high than for Whites for all groups except Native Americans. Blacks experienced the greatest burden of confirmed and probable COVID-19 (age-standardized incidence, 1626/100 000 population) and mortality (age-standardized mortality rate, 244/100 000). These rates reflect large disparities, as Blacks experienced age-standardized incidence and mortality rates 5.5 (95% posterior credible interval [CrI], 5.4–5.6) and 6.7 (95% CrI, 6.4–7.1) times higher than Whites, respectively. We found that the bulk of the disparity in mortality between Blacks and Whites is driven by dramatically higher rates of COVID-19 infection across all age groups, particularly among older adults, rather than age-specific variation in case-fatality rates.

Conclusions

This work suggests that well-documented racial disparities in COVID-19 mortality in hard-hit settings, such as Michigan, are driven primarily by variation in household, community, and workplace exposure rather than case-fatality rates.

Re-prioritizing traffic stops to reduce motor vehicle crash outcomes and racial disparities

BACKGROUND

Law enforcement traffic stops are one of the most common entryways to the US justice system. Conventional frameworks suggest traffic stops promote public safety by reducing dangerous driving practices and non-vehicular crime. Law enforcement agencies have wide latitude in enforcement, including prioritization of stop types: (1) safety (e.g. moving violation) stops, (2) investigatory stops, or (3) economic (regulatory and equipment) stops. In order to prevent traffic crash fatalities and reduce racial disparities, the police department of Fayetteville, North Carolina significantly re-prioritized safety stops.

METHODS

Annual traffic stop, motor vehicle crash, and crime data from 2002 to 2016 were combined to examine intervention (2013-2016) effects. Fayetteville was compared against synthetic control agencies built from 8 similar North Carolina agencies by weighted matching on pre-intervention period trends and comparison against post-intervention trends.

RESULTS

On average over the intervention period as compared to synthetic controls, Fayetteville increased both the number of safety stops + 121% (95% confidence interval + 17%, + 318%) and the relative proportion of safety stops (+ 47%). Traffic crash and injury outcomes were reduced, including traffic fatalities - 28% (- 64%, + 43%), injurious crashes - 23% (- 49%, + 16%), and total crashes - 13% (- 48%, + 21%). Disparity measures were reduced, including Black percent of traffic stops - 7% (- 9%, - 5%) and Black vs. White traffic stop rate ratio - 21% (- 29%, - 13%). In contrast to the Ferguson Effect hypothesis, the relative de-prioritization of investigatory stops was not associated with an increase in non-traffic crime outcomes, which were reduced or unchanged, including index crimes - 10% (- 25%, + 8%) and violent crimes - 2% (- 33%, + 43%). Confidence intervals were estimated using a different technique and, given small samples, may be asymmetrical.

CONCLUSIONS

The re-prioritization of traffic stop types by law enforcement agencies may have positive public health consequences both for motor vehicle injury and racial disparity outcomes while having little impact on non-traffic crime.

8 months to 5 days: what happened when Pennsylvania changed the vaccination regulations for provisional enrollment?

In March 2017, the Pennsylvania Department of Health reduced the time allowed to demonstrate compliance with school-entry vaccination requirements from eight months to five days. We describe changes in provisional enrollment, vaccine exemptions, and vaccine coverage rates before and after the new regulation. Across Pennsylvania, provisional enrollment decreased from 11.1% in 2016/17 to 2.5% in 2017/18 (77% relative decrease). Personal belief exemptions continued a modest upward trend, similar to previous years, and medical exemptions remained steady. Among kindergartners, coverage with ≥ 2 doses of MMR vaccine and 2 doses of Varicella vaccine increased; similar increases were seen for the MCV and Tdap vaccines among 7th graders. However, improvements in coverage and reductions in provisional enrollment were not consistent across counties. Provisional enrollment in Philadelphia County during the 2017/18 school year (10.4%) did not substantially decrease. The statewide reduction in provisional enrollment suggests that the new regulations accomplished the goal of increasing the proportion of students who are up-to-date on required vaccines at the beginning of the school year without a significant increase in vaccine exemptions. However, the persistence of high provisional enrollment in some counties points to additional barriers to this goal in some schools and regions.

Accessible metrics of access: Novel tools to measure immunization coverage in rural sub-Saharan Africa

Immunization rates in most sub-Saharan African countries fall far below stated targets. Measuring access in resource-limited settings, however, is challenging, especially with the data available at the district level, which is the primary administrative division for most immunization programs. Despite calls to improve routine data collection and use, there remains a lack of structured methods and practical tools to target underserved populations. Herein, we describe a prospective study that aims to develop, pilot, and validate a set of user-friendly tools to identify geographic areas with limited access to immunization services and by extension, low immunization coverage. The approach will leverage routinely-collected data from public health facilities combined with novel methods of household mapping to perform spatial analyses using open-access platforms. In addition, we will triangulate the analyses across datasets representing common reasons for care seeking – namely, visits for vaccination, antenatal care, and malaria – to improve the accuracy of our estimates. The ultimate goal of this project is to equip front-line providers and district level program managers with novel tools that facilitate timely and accurate analysis of routinely-collected data to guide immunization efforts.