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1.
J Public Health Manag Pract ; 25 Suppl 5, Tribal Epidemiology Centers: Advancing Public Health in Indian Country for Over 20 Years: S29-S35, 2019.
Article in English | MEDLINE | ID: mdl-31348188

ABSTRACT

OBJECTIVES: To compare risks of distant-stage colorectal cancer (CRC) diagnosis between whites and American Indian/Alaska Natives (AI/ANs) and to explore effect modification by area-based socioeconomic status (SES). DESIGN: Retrospective cohort study using data from the Oklahoma Central Cancer Registry. SETTING: Oklahoma. PARTICIPANTS: White and AI/AN cases of CRC diagnosed in Oklahoma between 2001 and 2008 (N = 8 438). A subanalysis was performed on the cohort of those aged 50 years and older (N = 7 728). MAIN OUTCOME MEASURE: Risk of distant-stage CRC diagnosis stratified by SES score. RESULTS: Race and SES were independently associated with distant-stage diagnosis. In SES-stratified analyses, AI/ANs in the 2 lowest SES groups experienced increased risks in the overall cohort and among those aged 50 years and older. In multivariable models, risks remained significant among those aged 50 years and older in the lowest SES groups (Adjusted risk ratio SES score of 2: 1.31, 95% confidence interval: 1.06-1.63 and adjusted risk ratio SES score of 1: 1.21, 95% confidence interval: 1.01-1.44). CONCLUSION: Socioeconomic status is an effect modifier in the association between race/ethnicity and stage at CRC diagnosis. Disparities in stage at CRC diagnosis exist between AI/ANs and whites with lower estimated SES. Efforts are needed to increase CRC screening among lower SES AI/ANs.


Subject(s)
Colorectal Neoplasms/classification , Neoplasm Staging/statistics & numerical data , Racial Groups/ethnology , Social Class , Adult , Aged , Aged, 80 and over , Cohort Studies , Colorectal Neoplasms/diagnosis , Colorectal Neoplasms/ethnology , Correlation of Data , Early Detection of Cancer/statistics & numerical data , Female , Humans , Indians, North American/ethnology , Indians, North American/statistics & numerical data , Male , Middle Aged , Oklahoma/ethnology , Racial Groups/statistics & numerical data , Retrospective Studies
2.
J Public Health Manag Pract ; 25 Suppl 5, Tribal Epidemiology Centers: Advancing Public Health in Indian Country for Over 20 Years: S36-S43, 2019.
Article in English | MEDLINE | ID: mdl-31348189

ABSTRACT

OBJECTIVE: The primary purpose of this study was to compare age-adjusted mortality rates before and after linkage with Indian Health Service records, adjusting for racial misclassification. We focused on differences in racial misclassification by gender, age, geographic differences, substate planning districts, and cause of death. Our secondary purpose was to evaluate time trends in misclassification from 1991 to 2015. DESIGN: Retrospective, descriptive study. SETTING: Oklahoma. PARTICIPANTS: Persons contained in the Oklahoma State Health Department Vital Records. MAIN OUTCOME MEASURES: To evaluate the age-adjusted mortality ratio pre- and post-Indian Health Service record linkage (misclassification rate ratio) and to evaluate the overall trend of racial misclassification on mortality records measured through annual percent change (APC) and average annual percent change (AAPC). RESULTS: We identified 2 stable trends of racial misclassification upon death for American Indians/Alaska Natives (AI/ANs) from 1991 to 2001 (APC: -0.2%; 95% confidence interval: -1.4% to 1.0%) and from 2001 to 2005 (APC: -6.9%; 95% confidence interval: -13.7% to 0.4%). However, the trend identified from 2005 to 2015 decreased significantly (APC: -1.4%; 95% confidence interval: -2.5% to -0.2%). For the last 5 years available (2011-2015), the racial misclassification adjustment resulted in higher mortality rates for AI/ANs reflecting an increase from 1008 per 100 000 to 1305 per 100 000 with the linkage process. There were an estimated 3939 AI/ANs in Oklahoma who were misclassified as another race upon death in those 5 years, resulting in an underestimation of actual AI/AN deaths by nearly 29%. CONCLUSIONS: An important result of this study is that misclassification is improving; however, this effort needs to be maintained and further improved. Continued linkage efforts and public access to linked data are essential throughout the United States to better understand the burden of disease in the AI/AN population.


Subject(s)
Documentation/standards , Indians, North American/ethnology , Mortality/trends , Racial Groups/ethnology , Adolescent , Adult , Aged , Aged, 80 and over , Cause of Death/trends , Child , Child, Preschool , Documentation/statistics & numerical data , Female , Humans , Indians, North American/statistics & numerical data , Infant , Male , Middle Aged , Mortality/ethnology , Oklahoma/ethnology , Population Surveillance/methods , Racial Groups/statistics & numerical data , Registries/statistics & numerical data
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