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首页> 外文期刊>American journal of public health >Racial misclassification of American Indians and Alaska natives by Indian health service contract health service delivery area
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Racial misclassification of American Indians and Alaska natives by Indian health service contract health service delivery area

机译:印度卫生服务合同卫生服务交付区域的美洲印第安人和阿拉斯加当地人的种族错误分类

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摘要

Objectives. We evaluated the racial misclassification of American Indians and Alaska Natives (AI/ANs) in cancer incidence and all-cause mortality data by Indian Health Service (IHS) Contract Health Service Delivery Area (CHSDA). Methods. We evaluated data from 3 sources: IHS-National Vital Statistics System (NVSS), IHS-National Program of Cancer Registries (NPCR)/Surveillance, Epidemiology and End Results (SEER) program, and National Longitudinal Mortality Study (NLMS). We calculated, within each data source, the sensitivity and classification ratios by sex, IHS region, and urban-rural classification by CHSDA county. Results. Sensitivity was significantly greater in CHSDA counties (IHS-NVSS: 83.6%; IHS-NPCR/SEER: 77.6%; NLMS: 68.8%) than non-CHSDA counties (IHSNVSS: 54.8%; IHS-NPCR/SEER: 39.0%; NLMS: 28.3%). Classification ratios indicated less misclassification in CHSDA counties (IHS-NVSS: 1.20%; IHS-NPCR/SEER: 1.29%; NLMS: 1.18%) than non-CHSDA counties (IHS-NVSS: 1.82%; IHSNPCR/SEER: 2.56%; NLMS: 1.81%). Race misclassification was less in rural counties and in regions with the greatest concentrations of AI/AN persons (Alaska, Southwest, and Northern Plains). Conclusions. Limiting presentation and analysis to CHSDA counties helped mitigate the effects of race misclassification of AI/AN persons, although a portion of the population was excluded.
机译:目标。我们评估了美国印第安人和阿拉斯加人民治疗患者的种族错误分类和印度卫生服务(IHS)合同卫生服务交付区域(CHSDA)的全面死亡率数据。方法。我们评估了3个来源的数据:IHS-National Vital统计系统(NVSS),IHS-National癌症注册计划(NPCR)/监测,流行病学和最终结果(SEER)计划,以及国家纵向死亡率研究(NLMS)。我们在每个数据源内计算,由CHSDA县的性别,IHS地区和城乡分类进行了敏感性和分类比率。结果。 CHSDA县的敏感性显着大(IHS-NVSS:83.6%; IHS-NPCR / SEER:77.6%; NLMS:68.8%)比非CHSDA县(IHSNVSS:54.8%; IHS-NPCR / SEER:39.0%; NLMS :28.3%)。分类比表明,CHSDA县的错误分类(IHS-NVSS:1.20%; IHS-NPCR / SEER:1.29%; NLMS:1.18%)比非CHSDA县(IHS-NVSS:1.82%; IHSNPCR / SEER:2.56%; NLMS:1.81%)。种族错误分类在农村县和最大浓度AI /人(阿拉斯加,西南和北平原)的地区不那么少。结论。限制对CHSDA县的展示和分析有助于减轻AI /人的种族错误分类的影响,尽管一部分人口被排除在外。

著录项

  • 来源
    《American journal of public health》 |2014年第3期|共8页
  • 作者单位

    Division of Cancer Prevention and Control National Center for Chronic Disease Prevention and;

    Division of Vital Statistics National Center for Health Statistics Centers for Disease Control;

    Division of Public Health Capacity Development Office for State Tribal Local and Territorial;

    Northwest Tribal Epidemiology Center Northwest Portland Area Indian Health Board Portland OR;

    Immunization Services Division National Center for Immunization and Respiratory Diseases Centers;

    National Longitudinal Mortality Study Branch US Census Bureau Suitland MD United States;

    New Mexico Tumor Registry University of New Mexico Cancer Center Albuquerque. United States;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 预防医学、卫生学;
  • 关键词

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