Using integrated data to examine the effects of summer youth employment program completion on educational and criminal justice system outcomes: Evidence from Cuyahoga County, Ohio.

The current study builds the evidence base on the effects of Summer Youth Employment Programs (SYEP) both geographically and methodologically by linking SYEP participant records to a comprehensive integrated longitudinal database to better understand programmatic impacts on youth who completed participation in an SYEP in Cleveland, Ohio. The study matches SYEP participants and unselected applicants on various observed covariates using the Child Household Integrated Longitudinal Data (CHILD) System and relies upon propensity score matching techniques to estimate program completion impacts on educational and criminal justice system involvement outcomes. SYEP completion is associated with a lower prevalence of juvenile offense filings and incarceration events, better school attendance, and improved graduation rates 1-2 years following program participation.

Identifying Risk Factors and Advancing Services for Violently Injured Low-Income Black Youth.

Violent exposure among low-income, Black youth has reached alarming rates. Using administrative data that centers racial equity to understand risk factors and aid in prevention is a promising approach to address this complex problem. Medical records were linked to a comprehensive county-level integrated data system using a case-control design. Chi-square tests, T-tests, and multivariate logistic regression assessed for between and within group differences among (1) youth who presented to an emergency department (N = 429) with an assault or gunshot wound (GSW) and a matched sample of non-injured youth (N = 5000); and, (2) youth with GSW injuries (N = 71) compared to assault injuries (N = 358). Injured youth present with greater early adversity, trauma, and prolonged poverty compared to non-injured peers. Youth with GSW injuries differ from assault in several key ways. An ecosystem of care is needed to address the multifaceted causes of Black youth's severe violence exposure that are rooted in systemic racism and poverty. Integrated data using a racial equity lens can help to illuminate opportunities in this ecosystem of care.

Characterizing relapsing remitting multiple sclerosis patients burdened with hypertension, hyperlipidemia, and asthma.

BACKGROUND: Hypertension, hyperlipidemia, and asthma are common in multiple sclerosis (MS) patients and adversely impact physical and mental health independent of sociodemographic and clinical attributes. Characterizing MS patients with these comorbidities is necessary for informing comorbidity screening and managed care in vulnerable patient subgroups; however, there is sparse data currently available. METHODS: We conducted cross-sectional analyses of 2,012 relapsing remitting (RR) MS patients. Separate multivariable logistic regression models were conducted for the presence of hypertension, hyperlipidemia, and asthma. Independent variables included age, sex, race, MS duration, body mass index classification, insurance payer, smoking status, median income by residence ZIP code, disease modifying therapies, and the other comorbidities. RESULTS: Hypertension was more common in RRMS patients who were older, obese/severely obese, had hyperlipidemia, were asthmatics, living in neighborhoods with the lowest income, and who were Black Americans. RRMS patients with hyperlipidemia were more likely to be male, older, overweight/obese/severely obese, hypertensive, asthmatics, and White American. Asthmatic RRMS patients were more likely to be female, obese, hypertensive, and living in neighborhood of medium/low income, and less likely to be on interferons or glatiramer acetate. CONCLUSION: We identified factors independently associated with common comorbidity burden in RRMS patients, which will inform risk-stratification efforts aimed at mitigating the adverse impact of these conditions in MS patients. Our results are consistent with what is known about the determinants of hypertension, hyperlipidemia, and asthma in the non-MS patient population, and therefore disparities that exist in screening and management in the general U.S. population may likely exist in U.S. MS patients. It is also possible that there may be unique differences in specific MS patient subgroups, which warrants further investigation and detailed characterization.