Abstract
Objectives: To examine how racial/ethnic disparities of cervical cancer mortality vary geographically and to identify factors contributing to the variation. Methods: Using the population-weighted risk difference, the authors investigated geographic patterns of racial/ethnic disparities in cervical cancer mortality in Texas based on data from 1995 to 2008 georeferenced at the census tract level. In addition, we considered the impact of seven factors-stage at diagnosis, spatial access to health care, and five factors that were created from available demographic data: socioeconomic status (SES), the sociodemographic factor, the percentage of African Americans, the health insurance factor, and the behavioral factorVon racial/ethnic disparities in the analysis using multivariate logistic regression. Results: SES, the sociodemographic factor, the percentage of African Americans, and racial/ethnic disparities in late-stage diagnosis in a census tract were independent predictors of a census tract's displaying significant racial/ethnic disparities in cervical cancer mortality. Compared with a census tract with the highest SES, a census tract with the lowest SES was more likely to have higher mortality rates in African Americans (odds ratio 4.19, confidence interval 2.18-8.07) orHispanics (odds ratio 8.15, confidence interval 5.27-12.61) than non-Hispanic whites after adjusting for covariates. Health insurance expenditures also influenced racial/ethnic disparities in mortality, although this effect was attenuated after adjusting for covariates. Neither our calculated behavioral factor nor spatial analysis of access to health care explained racial/ethnic gaps in mortality. Conclusions: Findings from this study could allow cervical cancer intervention programs to more clearly identify areas that would reduce disparities in cervical cancer outcomes.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 281-288 |
| Number of pages | 8 |
| Journal | Southern Medical Journal |
| Volume | 107 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2014 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- General Medicine
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