Department of Epidemiology and Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
JAMA Netw Open. 2024 May 1;7(5):e249474. doi: 10.1001/jamanetworkopen.2024.9474.
The National Cancer Institute comprehensive cancer centers (CCCs) lack spatial and temporal evaluation of their self-designated catchment areas.
To identify disparities in cancer stage at diagnosis within and outside a CCC's catchment area across a 10-year period using spatial and statistical analyses.
DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional, population-based study conducted between 2010 and 2019 utilized cancer registry data for the Johns Hopkins Sidney Kimmel CCC (SKCCC). Eligible participants included patients with cancer in the contiguous US who received treatment for cancer, a diagnosis of cancer, or both at SKCCC. Patients were geocoded to zip code tabulation areas (ZCTAs). Individual-level variables included sociodemographic characteristics, smoking and alcohol use, treatment type, cancer site, and insurance type. Data analysis was performed between March and July 2023.
Distance between SKCCC and ZCTAs were computed to generate a catchment area of the closest 75% of patients and outer zones in 5% increments for comparison.
The primary outcome was cancer stage at diagnosis, defined as early-stage, late-stage, or unknown stage. Multinomial logistic regression was used to determine associations of catchment area with stage at diagnosis.
This study had a total of 94 007 participants (46 009 male [48.94%] and 47 998 female [51.06%]; 30 195 aged 22-45 years [32.12%]; 4209 Asian [4.48%]; 2408 Hispanic [2.56%]; 16 004 non-Hispanic Black [17.02%]; 69 052 non-Hispanic White [73.45%]; and 2334 with other or unknown race or ethnicity [2.48%]), including 47 245 patients (50.26%) who received a diagnosis of early-stage cancer, 19 491 (20.73%) who received a diagnosis of late-stage cancer , and 27 271 (29.01%) with unknown stage. Living outside the main catchment area was associated with higher odds of late-stage cancers for those who received only a diagnosis (odds ratio [OR], 1.50; 95% CI, 1.10-2.05) or only treatment (OR, 1.44; 95% CI, 1.28-1.61) at SKCCC. Non-Hispanic Black patients (OR, 1.16; 95% CI, 1.10-1.23) and those with Medicaid (OR, 1.65; 95% CI, 1.46-1.86) and no insurance at time of treatment (OR, 2.12; 95% CI, 1.79-2.51) also had higher odds of receiving a late-stage cancer diagnosis.
In this cross-sectional study of CCC data from 2010 to 2019, patients residing outside the main catchment area, non-Hispanic Black patients, and patients with Medicaid or no insurance had higher odds of late-stage diagnoses. These findings suggest that disadvantaged populations and those living outside of the main catchment area of a CCC may face barriers to screening and treatment. Care-sharing agreements among CCCs could address these issues.
国家癌症研究所综合癌症中心(CCCs)缺乏对其自行指定的集水区的时空评估。
利用空间和统计分析,在 10 年期间确定 CCC 集水区内和外的癌症分期差异。
设计、设置和参与者:这是一项横断面、基于人群的研究,于 2010 年至 2019 年期间利用约翰霍普金斯 Sidney Kimmel CCC(SKCCC)的癌症登记数据进行。合格的参与者包括在美国连续居住的患有癌症的患者,他们在 SKCCC 接受癌症治疗、癌症诊断或两者的治疗。患者被地理编码到邮编分区(ZCTA)。个体水平的变量包括社会人口特征、吸烟和饮酒、治疗类型、癌症部位和保险类型。数据分析于 2023 年 3 月至 7 月进行。
计算 SKCCC 和 ZCTA 之间的距离,以生成最近 75%的患者的集水区和 5%递增的外部区域进行比较。
主要结局是诊断时的癌症分期,定义为早期、晚期或未知分期。使用多项逻辑回归确定集水区与诊断时分期的关联。
本研究共有 94007 名参与者(46009 名男性[48.94%]和 47998 名女性[51.06%];30195 名年龄在 22-45 岁之间[32.12%];4209 名亚洲人[4.48%];2408 名西班牙裔[2.56%];16004 名非西班牙裔黑人[17.02%];69052 名非西班牙裔白人[73.45%];和 2334 名其他或未知种族或族裔[2.48%]),包括 47245 名(50.26%)接受早期癌症诊断的患者、19491 名(20.73%)接受晚期癌症诊断的患者和 27271 名(29.01%)未知分期的患者。与居住在主要集水区外的人相比,仅在 SKCCC 接受诊断的患者(比值比[OR],1.50;95%置信区间[CI],1.10-2.05)或仅接受治疗的患者(OR,1.44;95%CI,1.28-1.61)更有可能被诊断为晚期癌症。非西班牙裔黑人患者(OR,1.16;95%CI,1.10-1.23)和那些有医疗补助(OR,1.65;95%CI,1.46-1.86)和治疗时没有保险(OR,2.12;95%CI,1.79-2.51)的患者也更有可能被诊断为晚期癌症。
在这项 2010 年至 2019 年 CCC 数据的横断面研究中,居住在主要集水区外的患者、非西班牙裔黑人患者和有医疗补助或没有保险的患者更有可能被诊断为晚期癌症。这些发现表明,弱势人群和居住在 CCC 主要集水区外的人群可能在筛查和治疗方面面临障碍。CCCs 之间的护理共享协议可以解决这些问题。