Correlation of tuberculosis and human immunodeficiency virus in Harris County, Texas from 2009 through 2010 using Geographic Information Systems

A population based ecological study was conducted to identify areas with a high number of TB and HIV new diagnoses in Harris County, Texas from 2009 through 2010 by applying Geographic Information Systems to determine whether distinguished spatial patterns exist at the census tract level through the use of exploratory mapping. As of 2010, Texas has the fourth highest occurrence of new diagnoses of HIV/AIDS and TB.[31] The Texas Department of State Health Services (DSHS) has identified HIV infected persons as a high risk population for TB in Harris County.[29] In order to explore this relationship further, GIS was utilized to identify spatial trends. ^ The specific aims were to map TB and HIV new diagnoses rates and spatially identify hotspots and high value clusters at the census tract level. The potential association between HIV and TB was analyzed using spatial autocorrelation and linear regression analysis. The spatial statistics used were ArcGIS 9.3 Hotspot Analysis and Cluster and Outlier Analysis. Spatial autocorrelation was determined through Global Moran's I and linear regression analysis. ^ Hotspots and clusters of TB and HIV are located within the same spatial areas of Harris County. The areas with high value clusters and hotspots for each infection are located within the central downtown area of the city of Houston. There is an additional hotspot area of TB located directly north of I-10 and a hotspot area of HIV northeast of Interstate 610. ^ The Moran's I Index of 0.17 (Z score = 3.6 standard deviations, p-value = 0.01) suggests that TB is statistically clustered with a less than 1% chance that this pattern is due to random chance. However, there were a high number of features with no neighbors which may invalidate the statistical properties of the test. Linear regression analysis indicated that HIV new diagnoses rates (β=−0.006, SE=0.147, p=0.970) and census tracts (β=0.000, SE=0.000, p=0.866) were not significant predictors of TB new diagnoses rates. ^ Mapping products indicate that census tracts with overlapping hotspots and high value clusters of TB and HIV should be a targeted focus for prevention efforts, most particularly within central Harris County. While the statistical association was not confirmed, evidence suggests that there is a relationship between HIV and TB within this two year period.^

Impact of racial differences in medical care on breast cancer survival: Findings from a large nationwide and retrospective cohort study

Background: No studies have attempted to determine whether nodal surgery utilization, time to initiation and completion of chemotherapy or surveillance mammography impact breast cancer survival. ^ Objectives and Methods: To determine whether receipt of nodal surgery, initiation and completion of chemotherapy, and surveillance mammography impact of racial disparities in survival among breast cancer patients in SEER areas, 1992-2005. ^ Results: Adjusting for nodal surgery did not reduce racial disparities in survival. Patients who initiated chemotherapy more than three months after surgery were 1.8 times more likely to die of breast cancer (95% CI 1.3-2.5) compared to those who initiated chemotherapy less than a month after surgery, even after controlling for known confounders or controlling for race. Despite correcting for chemotherapy initiation and completion and known predictors of outcome, African American women still had worse disease specific survival than their Caucasian counterparts. We found that non-whites underwent surveillance mammography less frequently compared with whites and mammography use during a one- or two-year time interval was associated with a small reduced risk of breast-cancer-specific and all-cause mortality. Women who received a mammogram during a two-year interval could expect the same disease-specific survival benefit or overall survival benefit as women who received a mammogram during a one-year interval. We found that while adjustment for surveillance mammography receipt and physician visits reduced differences in mortality between blacks and whites, these survival disparities were eliminated after adjusting for the number of surveillance mammograms received. ^ Conclusions: The disparities in survival among African American and Hispanic women with breast cancer are not explained by nodal surgery utilization or chemotherapy initiation and chemotherapy completion. Surveillance mammograms, physician visits and number of mammograms received may play a major role in achieving equal outcomes for breast cancer-specific mortality for women diagnosed with primary breast cancer. Racial disparities in all-cause mortality were explained by racial differences in surveillance mammograms to certain degree, but were no longer significant after controlling for differences in comorbidity. Focusing on access to quality care and post treatment surveillance might help achieve national goals to eliminate racial disparities in healthcare and outcomes. ^

Middle managers' attitudes toward employee assistance programs in the corporate setting

Several studies have shown that successful Employee Assistance Programs (EAPs) have strong management endorsement. Strong management endorsement is defined as positive support in utilizing EAP services for themselves and their employees. This study focuses solely on middle management as opposed to upper or general management support. The study further examines success or lack of success of an EAP by the utilization rate defined as the number of employees over a year period who access EAP services.^ A analytical cross-sectional design was used to compare and observe differences between two groups of middle managers (utilizers and nonutilizers). Middle manager data was collected through a mail questionnaire. The study focused on identifying predictors that influence middle managers' utilization rate specifically: attitude toward EAPs, EAP knowledge level, attitude toward mental health professionals, age, gender, years worked as a middle manager, education level, training, and other possible predictors of utilization. The overall hypothesis states middle manager utilizers of EAP services have more positive attitudes and a better understanding of their EAP than middle management nonutilizers.^ As predicted, nonparametric bivariate results showed significant differences between the two groups. Middle managers in the utilization group (n = 473) tended to show more positive attitudes toward their EAP and mental health professionals and demonstrated greater EAP knowledge compared to the nonutilization group (n = 154). These findings support past studies on variables that influence EAP utilization rates.^ Further variables found to influence middle management utilization were identified by multivariate logistic regression results. These variable were gender (female supervisors), educational levels of employees supervised (employees with lower levels of education), number of employees supervised (greater the number supervised, more likely to utilize), managerial EAP training (trained supervisors) and awareness that problems do influence an employee's productivity.^ These findings strengthen the assertion that middle management's attitudes, as well as other variables may influence utilization. Study findings add new information about important variables specifically influencing middle management who utilize EAPs. An understanding of these variables is essential in developing competent EAP program training and orientation programs for middle managers. ^