Clegg Limin X, Reichman Marsha E, Miller Barry A, Hankey Benjamin F, Singh Gopal K, Lin Yi Dan, Goodman Marc T, Lynch Charles F, Schwartz Stephen M, Chen Vivien W, Bernstein Leslie, Gomez Scarlett L, Graff John J, Lin Charles C, Johnson Norman J, Edwards Brenda K
Office of Healthcare Inspections, Office of Inspector General (54AA), U.S. Department of Veterans Affairs, 810 Vermont Ave., NW, Washington, DC 20420, USA.
Cancer Causes Control. 2009 May;20(4):417-35. doi: 10.1007/s10552-008-9256-0. Epub 2008 Nov 12.
Population-based cancer registry data from the Surveillance, Epidemiology, and End Results (SEER) Program at the National Cancer Institute (NCI) are mainly based on medical records and administrative information. Individual-level socioeconomic data are not routinely reported by cancer registries in the United States because they are not available in patient hospital records. The U.S. representative National Longitudinal Mortality Study (NLMS) data provide self-reported, detailed demographic and socioeconomic data from the Social and Economic Supplement to the Census Bureau's Current Population Survey (CPS). In 1999, the NCI initiated the SEER-NLMS study, linking the population-based SEER cancer registry data to NLMS data. The SEER-NLMS data provide a new unique research resource that is valuable for health disparity research on cancer burden. We describe the design, methods, and limitations of this data set. We also present findings on cancer-related health disparities according to individual-level socioeconomic status (SES) and demographic characteristics for all cancers combined and for cancers of the lung, breast, prostate, cervix, and melanoma.
Records of cancer patients diagnosed in 1973-2001 when residing 1 of 11 SEER registries were linked with 26 NLMS cohorts. The total number of SEER matched cancer patients that were also members of an NLMS cohort was 26,844. Of these 26,844 matched patients, 11,464 were included in the incidence analyses and 15,357 in the late-stage diagnosis analyses. Matched patients (used in the incidence analyses) and unmatched patients were compared by age group, sex, race, ethnicity, residence area, year of diagnosis, and cancer anatomic site. Cohort-based age-adjusted cancer incidence rates were computed. The impact of socioeconomic status on cancer incidence and stage of diagnosis was evaluated.
Men and women with less than a high school education had elevated lung cancer rate ratios of 3.01 and 2.02, respectively, relative to their college educated counterparts. Those with family annual incomes less than $12,500 had incidence rates that were more than 1.7 times the lung cancer incidence rate of those with incomes $50,000 or higher. Lower income was also associated with a statistically significantly increased risk of distant-stage breast cancer among women and distant-stage prostate cancer among men.
Socioeconomic patterns in incidence varied for specific cancers, while such patterns for stage were generally consistent across cancers, with late-stage diagnoses being associated with lower SES. These findings illustrate the potential for analyzing disparities in cancer outcomes according to a variety of individual-level socioeconomic, demographic, and health care characteristics, as well as by area measures available in the linked database.
美国国立癌症研究所(NCI)监测、流行病学和最终结果(SEER)项目基于人群的癌症登记数据主要基于医疗记录和管理信息。美国癌症登记处通常不会报告个体层面的社会经济数据,因为患者医院记录中没有这些数据。具有美国代表性的全国纵向死亡率研究(NLMS)数据提供了来自人口普查局当前人口调查(CPS)社会和经济补充部分的自我报告的详细人口统计学和社会经济数据。1999年,NCI启动了SEER-NLMS研究,将基于人群的SEER癌症登记数据与NLMS数据相链接。SEER-NLMS数据提供了一种全新的独特研究资源,对癌症负担方面的健康差异研究具有重要价值。我们描述了该数据集的设计、方法和局限性。我们还根据个体层面的社会经济地位(SES)以及所有癌症合并以及肺癌、乳腺癌、前列腺癌、宫颈癌和黑色素瘤的人口统计学特征,呈现了与癌症相关的健康差异研究结果。
1973年至2001年期间在11个SEER登记处之一居住时被诊断为癌症的患者记录与26个NLMS队列相链接。同时属于NLMS队列的SEER匹配癌症患者总数为26,844人。在这26,844名匹配患者中,11,464人纳入发病率分析,15,357人纳入晚期诊断分析。对匹配患者(用于发病率分析)和未匹配患者按年龄组、性别、种族、族裔、居住地区、诊断年份和癌症解剖部位进行比较。计算基于队列的年龄调整癌症发病率。评估社会经济地位对癌症发病率和诊断阶段的影响。
与受过大学教育的同龄人相比,受教育程度低于高中的男性和女性肺癌发病率比值分别为3.01和2.02。家庭年收入低于12,500美元的人群的发病率是收入50,000美元或更高人群肺癌发病率的1.7倍以上。低收入还与女性远处期乳腺癌和男性远处期前列腺癌的统计学显著增加风险相关。
特定癌症的发病率社会经济模式各不相同,而各癌症阶段的此类模式总体上较为一致,晚期诊断与较低的社会经济地位相关。这些发现表明,根据各种个体层面的社会经济、人口统计学和医疗保健特征以及链接数据库中可用的地区指标来分析癌症结局差异具有潜力。