Disparity Reported in Substance Use Among Racial/Ethnic Subgroups

1998 ◽  
2021 ◽  
Author(s):  
Joanne Weinreb ◽  
Penina Gavrilova ◽  
Jonathan Avery ◽  
Sean M. Murphy ◽  
Jyotishman Pathak

Abstract BackgroundRacial and ethnic health disparities have been linked with inequalities in access to health care and outcomes. The present study considers whether inequalities persist between racial/ethnic groups among patients with mental health or substance use disorders who visit the emergency department (ED). MethodsWe analyzed data from the National Hospital Ambulatory Medical Care Survey (NHAMCS) from 2012-2018, assessing health disparities among patients diagnosed with mental health or substance use disorders by observing whether significant differences exist in ED wait time and length of visit (LOV) for patients of different races/ethnicities. Stratified models were performed to further understand the impact of regions across the U.S., year, and triage level on the association analysis. ResultsFrom 2012-2018, non-Hispanic Black and Hispanic patients experienced significantly longer ED wait times and LOV as compared to White patients. Patients with private insurance experienced significantly shorter wait times compared to patients with self-pay, and shorter LOV than those with Medicaid/ Children’s Health Insurance Program, or Medicare. Male patients had significantly longer LOV compared to female patients. We observed year by year differences in wait times of non-Hispanic Black patients with improvement appearing between the years 2013 to 2016, while LOV remained consistently longer. We observed both regional and triage level differences, with the U.S. Northeast presenting with the most disparities. Additionally, we noted a general upward trend of SUD diagnoses. Conclusion Our analysis suggests that while there has been an overall improvement in median ED wait time through the years, non-Hispanic Black and Hispanic patients experience significantly longer ED wait time compared to non-Hispanic White patients. Additionally, non-Hispanic Black and Hispanic patients have a significantly longer ED LOV compared to non-Hispanic White patients.


Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Sukyung Chung ◽  
Eric C Wong ◽  
Kristen M Azar ◽  
Beinan Zhao ◽  
Diane Lauderdale ◽  
...  

Introduction Early screening for diabetes is the most cost effective way to prevent complications. Diabetes screening rates in a clinical population are unknown. There are well-known racial/ethnic differences in diabetes prevalence, with some Asian Americans racial/ethnic subgroups (e.g. Asian Indian and Filipino) having higher rates than Non Hispanic White (NHW) populations, and this may result in higher rates of diabetes screening for Asian Americans. Hypothesis We hypothesized that, after taking into account other risks factors suggested by national guidelines, Asian Americans may have higher preventive screening rates, given known higher risk for diabetes. Methods We used the electronic health records data from a large multi-specialty, mixed-payer, outpatient, group- practice organization in Northern California, to examine an observational prospective dataset during 1/1/2007-09/30/2010. Active primary care patients who were 35 years or older, not pregnant, identified as Asian (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese) or non-Hispanic white (NHW), and were free from diabetes at baseline were included (N=110,477). Screening was defined as fasting glucose, oral glucose tolerance test, or HgBA1C. Racial/ethnic differences in screening rates were initially examined with age-sex standardization. We then estimated a Cox proportional hazard model, which adjusted for diabetes clinical risk factors (including age, sex, BMI, high blood pressure, high LDL, low HDL), family history of diabetes, insurance coverage, and frequency of primary care visits. Results Standardized preventive screening rates were higher for all Asian racial/ethnic subgroups (ranging from 82.2%: Japanese to 88.7%: Filipino) than NHW (78.6%)( P<0.05 ). The results were consistent in the fully adjusted Cox model where all the Asian racial/ethnic subgroups, except for Japanese (not significant), were more likely to be screened than NHWs (HR=Asian Indian: 1.29, Chinese: 1.20, Filipino: 1.22, Korean: 1.13, Vietnamese: 1.24; all P<0.01 ). Most clinical risk factors were significant positive predictors of screening, including age, female, high blood pressure, high LDL, low HDL, and family history of diabetes(all P<0.01 ). Conclusions Screening rates for diabetes in an insured, ambulatory care population is generally high (∼80%). Clinical risk factors and Asian race/ethnicity are predictors of appropriate diabetes screening.


2020 ◽  
pp. 107780121989347
Author(s):  
Roberto Cancio

This study considers variations of intimate partner violence (IPV) from the point of the perpetrator to test the impact of demographic factors on the type of IPV most prevalent among pre-9/11 and post-9/11 military families from the National Longitudinal Study of Adolescent to Adult Health (1994–2008): Waves I and IV in-home interviews ( N = 499). Study findings indicate that the perpetration of physical and sexual IPV depends on the context of veteran cohort and race/ethnicity. Models for substance use and IPV patterns were not similar across military cohorts and/or racial/ethnic groups.


2011 ◽  
Vol 14 (4) ◽  
pp. 344-365 ◽  
Author(s):  
Meghan S. Stroshine ◽  
Steven G. Brandl

According to tokenism theory, “tokens” (those who comprise less than 15% of a group’s total) are expected to experience a variety of hardships in the workplace, such as feelings of heightened visibility, isolation, and limited opportunities for advancement. In the policing literature, most previous studies have defined tokenism narrowly in terms of gender. The current research extends prior research by examining tokenism as a function of gender and race, with an examination of racial/ethnic subgroups. Particular attention is paid to Latino officers as this study represents the first known study of tokenism and Latino police officers. Quantitative analyses reveal that, for the most part, token police officers do experience the effects of tokenism as predicted by tokenism theory. Although all minorities experienced some level of tokenism, Black males and Black females experienced greater levels of tokenism than Latino officers, suggesting that race is a stronger predictor of tokenism than gender.


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