Successful Completion: An Examination of Factors Influencing Drug Court Completion for White and Non-White Male Participants

This research examines the influence of demographic and legal factors on the successful completion of the Seahawk Drug Treatment Court Program for White and Non-White male participants. Located in a medium-size city, the program targets male felony offenders and has been in operation for more than 10 years. The research sample is comprised of 526 participants with a program disposition between January 1, 2005 and September 30, 2010. Using race-specific logistic regression models, results reveal both similarities and differences among these groups. The implications and limitations of this research are discussed, as well as avenues for future research.     

Association between workplace psychosocial factors and mental health in Black,Hispanic, and White women: Cross-sectional findings from the National Health Interview Survey

Research evaluating the relation of workplace psychosocial factors to mental health among U.S. women of different racial/ethnic backgrounds is limited. This study investigated the relationship between work-related psychosocial factors and mental health among non-Hispanic Black, Hispanic, and non-Hispanic White women using data from the 2010 National Health Interview Survey. Independent variables of interest included job insecurity, workplace harassment, and work-family conflict (WFC). Multiple Poisson regression models were used to examine the associations between the outcome and independent variables. The prevalence of unfavorable mental health was highest among non-Hispanic Black women (36%) compared to Hispanic (34%) and non-Hispanic White (30%) women. A higher proportion of non-Hispanic Black women reported WFC compared to Hispanics and non-Hispanic Whites (χ² = 15.50, p < .01), while more Hispanics reported job insecurity (χ² = 116.81, p < .01). Prevalence of workplace harassment did not differ significantly by race/ethnicity. Odds of unfavorable mental health were significantly higher for women reporting psychosocial work factors. Unexpectedly, a greater association between psychosocial work factors and unfavorable mental health was observed among non-Hispanic White women compared to non-White women; however, caution should be taken in interpreting these cross-sectional results. Future studies should investigate temporal associations and additional psychosocial variables that were not available for use in the current study.     

Reporting and Availability of COVID-19 Demographic Data by US Health Departments (April to October 2020): Observational Study

BackgroundThere is an urgent need for consistent collection of demographic data on COVID-19 morbidity and mortality and sharing it with the public in open and accessible ways. Due to the lack of consistency in data reporting during the initial spread of COVID-19, the Equitable Data Collection and Disclosure on COVID-19 Act was introduced into the Congress that mandates collection and reporting of demographic COVID-19 data on testing, treatments, and deaths by age, sex, race and ethnicity, primary language, socioeconomic status, disability, and county. To our knowledge, no studies have evaluated how COVID-19 demographic data have been collected before and after the introduction of this legislation.ObjectiveThis study aimed to evaluate differences in reporting and public availability of COVID-19 demographic data by US state health departments and Washington, District of Columbia (DC) before (pre-Act), immediately after (post-Act), and 6 months after (6-month follow-up) the introduction of the Equitable Data Collection and Disclosure on COVID-19 Act in the Congress on April 21, 2020.MethodsWe reviewed health department websites of all 50 US states and Washington, DC (N=51). We evaluated how each state reported age, sex, and race and ethnicity data for all confirmed COVID-19 cases and deaths and how they made this data available (ie, charts and tables only or combined with dashboards and machine-actionable downloadable formats) at the three timepoints.ResultsWe found statistically significant increases in the number of health departments reporting age-specific data for COVID-19 cases (P=.045) and resulting deaths (P=.002), sex-specific data for COVID-19 deaths (P=.003), and race- and ethnicity-specific data for confirmed cases (P=.003) and deaths (P=.005) post-Act and at the 6-month follow-up (P<.05 for all). The largest increases were race and ethnicity state data for confirmed cases (pre-Act: 18/51, 35%; post-Act: 31/51, 61%; 6-month follow-up: 46/51, 90%) and deaths due to COVID-19 (pre-Act: 13/51, 25%; post-Act: 25/51, 49%; and 6-month follow-up: 39/51, 76%). Although more health departments reported race and ethnicity data based on federal requirements (P<.001), over half (29/51, 56.9%) still did not report all racial and ethnic groups as per the Office of Management and Budget guidelines (pre-Act: 5/51, 10%; post-Act: 21/51, 41%; and 6-month follow-up: 27/51, 53%). The number of health departments that made COVID-19 data available for download significantly increased from 7 to 23 (P<.001) from our initial data collection (April 2020) to the 6-month follow-up, (October 2020).ConclusionsAlthough the increased demand for disaggregation has improved public reporting of demographics across health departments, an urgent need persists for the introduced legislation to be passed by the Congress for the US states to consistently collect and make characteristics of COVID-19 cases, deaths, and vaccinations available in order to allocate resources to mitigate disease spread.     

Variation in quality of care among older men with localized prostate cancer

BACKGROUND:

The objective of this study was to assess the racial and ethnic disparities in outcomes and their association with process‐of‐care measures for elderly Medicare recipients with localized prostate cancer.

METHODS:

The Surveillance, Epidemiology, and End Results‐Medicare databases for the period from 1995 to 2003 were used to identify African‐American men, non‐Hispanic white men, and Hispanic men with localized prostate cancer, and data were obtained for the 1‐year period before the diagnosis of prostate cancer and up to 8 years postdiagnosis. The short‐term outcomes of interest were complications, emergency room visits, readmissions, and mortality; the long‐term outcomes of interest were prostate cancer‐specific mortality and all‐cause mortality; and process‐of‐care measures of interest were treatment and time to treatment. Cox proportional hazards regression, logistic regression, and Poisson regression were used to study the racial and ethnic disparities in outcomes and their association with process‐of‐care measures.

RESULTS:

Compared with non‐Hispanic white patients, African‐American patients (Hazard ration [HR], 1.43; 95% confidence interval [CE], 1.19‐1.86) and Hispanic patients (HR=1.39; 95% CI, 1.03‐1.84) had greater hazard of long term prostate specific mortality. African‐American patients also had greater odds of emergency room visits (odds ratio, 1.4; 95% CI, 1.2‐1.7) and greater all‐cause mortality (HR, 1.39; 95% CI, 1.3‐1.5) compared with white patients. The time to treatment was longer for African‐American patients and was indicative of a greater hazard of all‐cause, long‐term mortality. Hispanic patients who underwent surgery or received radiation had a greater hazard of long‐term prostate‐specific mortality compared with white patients who received hormone therapy.

CONCLUSIONS:

Racial and ethnic disparities in outcomes were associated with process‐of‐care measures (the type and time to treatment). The current results indicated that there is an opportunity to reduce these disparities by addressing these process‐of‐care measures. Cancer 2011. © 2010 American Cancer Society.     

Whites and African-Americans in headache specialty clinics respond equally well to treatment

This study sought to determine if Whites and African-Americans respond similarly to headache treatment administered in 'real-world' headache specialty treatment clinics. Using a naturalistic, longitudinal design, 284 patients receiving treatment for headache disorders completed 30-day daily diaries that assessed headache frequency and severity at pretreatment and 6-month follow-up and also provided data on their headache disability and quality of life at pretreatment and 1-, 2- and 6-month follow-up. Controlling for socioeconomic status and psychiatric comorbidity, hierarchical linear models found that African-Americans and Whites reported significant reductions in headache frequency and disability and improvements in life quality over the 6-month treatment period. African-Americans, unlike Whites, also reported significant decreases in headache severity. Nevertheless, Africans-Americans had significantly more frequent and disabling headaches and lower quality of life after treatment relative to Whites. Although Whites and African Americans responded favourably to headache treatments, more efficacious treatments are needed given the elevated level of headache frequency that remained in both racial groups following treatment.     

Changes in drug use prevalence in rap music songs, 1979–1997

This article explores the role of changing images of drug use in rap music from the 1970s to the 1990s. A sample of 341 rap music lyrics were coded for drug mentions, behaviours and contexts; drug attitudes and consequences; and music genres. The results show that from 1979–1997, songs with references to drugs increased over 6-fold; those exhibiting positive attitudes and consequences rose substantially and that references to particular drug types changed significantly. In addition, there were significant changes in the social context of drug use such as increased references to using drugs to signify glamour, wealth and sociability. The article examines potential explanations of the increasing focus on drug use rap music which includes the rise of the drug war; changes in the drug use habits of rappers and listeners; rise of gangsta rap and other rap music genres, and changing social images of drugs in American society.     

Book reviews

Books reviewed:
S Reverby, (ed.) Tuskegee's Truths: Rethinking the Tuskegee Syphilis Study
C.E. Bird, P. Conrad and A.M. Fremont, (eds.) Handbook of Medical Sociology
H. Houtkoup–Steenstra, Interaction and the Standardized Survey Interview
Ann Oakley, Experiments in Knowing. Gender and Method in the Social Sciences
L.K. Potts, (ed.) Ideologies of Breast Cancer: Feminist Perspectives
J. Read, Disability, the Family and Society. Listening to Mothers     

Differences in the measured alcohol content of drinks between black, white and Hispanic men and women in a US national sample

Aims   To measure and describe drink alcohol content differences between Hispanic, non-Hispanic white and non-Hispanic black men and women in the United States.
Design   A telephone survey re-interview of 397 respondents who participated originally in the 2005 National Alcohol Survey, of whom 306 provided complete information on home drinks.
Setting   United States.
Participants   Adults aged 18 years and older from across the United States.
Measurements   Direct measurement by respondents of simulated drink pours in respondents' own glassware using a provided beaker and reported beverage brands were used to calculate drink alcohol content.
Findings   Black men were found to have the largest overall mean drink alcohol content at 0.79 oz (23 ml) of alcohol. This was significantly larger than the mean for white men or for black women and added 30% to black men's monthly alcohol intake when applied to their reported number of drinks. Spirits drinks were found to be particularly large for men. Multivariate models indicated that drink alcohol content differences are attributable more to income and family structure differences than to unmeasured cultural factors tied to race or ethnicity per se . Models predicting alcohol-related consequences and dependence indicate that adjusting drink alcohol content improves model fit and reduces differences between race/ethnicity defined groups.
Conclusions   Differences in drink alcohol content by gender, race/ethnicity and beverage type choice should be considered in comparisons of drinking patterns and alcohol-related outcomes. Observed differences can be explained partially by measured characteristics regarding family structure and income.