Yankaskas Bonnie C, Knight Karen L, Fleg Anthony, Rao Chandrika
Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
J Registry Manag. 2009 Spring;36(1):7-11.
Equitable distribution of health care resources relies on accurate morbidity and mortality data, classified by race. Accurate classification is a problem, particularly for non-federally recognized American Indians (AI) receiving care outside of the Indian Health Service.
We identified counties in North Carolina that had the majority of AIs belonging to the 7 state-recognized, non-federally recognized tribes. We collaborated with the tribe in each county and compared the incident cases of cancer in the North Carolina Central Cancer Registry (NCCCR) to the tribal rolls. Data were analyzed to calculate what percent of names on both lists were not correctly identified as AI in the NCCCR. We corrected the NCCCR classification and calculated the percentage misclassified, then recalculated the cancer incidence rates for 4 major cancers (prostate, female breast, lung, and colorectal). We compared the recalculated rate to the original rate.
There were 626 AIs on the tribal rolls; 112 (17.9%) were not identified as AI on the NCCCR list. Comparing 1996-2000 age-adjusted cancer incidence rates before and after reclassification, the increase in rates were prostate 41%, female breast 18%, lung 10%, and 11% for colorectal cancers. There was less than a 2% increase in cancer rates for the combined 4 sites for Blacks and Whites, before and after reclassification, and 19% for AIs.
The study estimated 18% misclassification of non-federally recognized AIs in cancer registration in North Carolina, and determined an underestimation of cancer rates in the population. The underestimation of cancer burden among AIs in North Carolina may affect resources allocated for prevention, screening, and treatment programs, as well as funding for research.
医疗保健资源的公平分配依赖于按种族分类的准确发病率和死亡率数据。准确分类是个问题,尤其是对于在印第安卫生服务机构之外接受治疗的未获得联邦承认的美国印第安人(AI)。
我们确定了北卡罗来纳州那些拥有属于7个获得州承认但未获得联邦承认部落的大多数美国印第安人的县。我们与每个县的部落合作,将北卡罗来纳州中央癌症登记处(NCCCR)的癌症发病病例与部落名册进行比较。对数据进行分析,以计算在这两个名单上名字未被NCCCR正确识别为美国印第安人的比例。我们校正了NCCCR的分类并计算错误分类的百分比,然后重新计算4种主要癌症(前列腺癌、女性乳腺癌、肺癌和结直肠癌)的发病率。我们将重新计算的发病率与原始发病率进行比较。
部落名册上有626名美国印第安人;112人(17.9%)在NCCCR名单上未被识别为美国印第安人。比较重新分类前后1996 - 2000年年龄调整后的癌症发病率,发病率增加的情况为:前列腺癌41%,女性乳腺癌18%,肺癌10%,结直肠癌11%。重新分类前后,黑人和白人这4个部位合并后的癌症发病率增加不到2%,而美国印第安人为19%。
该研究估计北卡罗来纳州癌症登记中未获得联邦承认的美国印第安人有18%被错误分类,并确定该人群的癌症发病率被低估。北卡罗来纳州美国印第安人癌症负担的低估可能会影响分配给预防、筛查和治疗项目的资源,以及研究资金。