Halpern Michael T, Ward Elizabeth M, Pavluck Alexandre L, Schrag Nicole M, Bian John, Chen Amy Y
Epidemiology and Surveillance Research, American Cancer Society, Atlanta, GA 30303-1002, USA.
Lancet Oncol. 2008 Mar;9(3):222-31. doi: 10.1016/S1470-2045(08)70032-9. Epub 2008 Feb 20.
Individuals in the USA without private medical insurance are less likely to have access to medical care or participate in cancer screening programmes than those with private medical insurance. Smaller regional studies in the USA suggest that uninsured and Medicaid-insured individuals are more likely to present with advanced-stage cancer than privately insured patients; however, this finding has not been assessed using contemporary, national-level data. Furthermore, patients with cancer from ethnic minorities are more likely to be uninsured or Medicaid-insured than non-Hispanic white people. Separating the effects on stage of cancer at diagnosis associated with these two types of patient characteristics can be difficult.
Patients with cancer in the USA, diagnosed between 1998 and 2004, were identified using the US National Cancer Database-a hospital-based registry that contains patient information from about 1430 facilities. Odds ratios and 95% CIs for the effect of insurance status (Medicaid, Medicare (65-99 years), Medicare (18-64 years), private, or uninsured) and ethnicity (white, Hispanic, black, or other) on disease stage at diagnosis for 12 cancer sites (breast [female], colorectal, kidney, lung, melanoma, non-Hodgkin lymphoma, ovary, pancreas, prostate, urinary bladder, uterus, and thyroid) were estimated, while controlling for patient characteristics.
3,742,407 patients were included in the analysis; patient characteristics were similar to those of the corresponding US population not included in the analysis. Uninsured and Medicaid-insured patients were significantly more likely to present with advanced-stage cancer compared with privately insured patients. This finding was most prominent for patients who had cancers that can potentially be detected early by screening or symptom assessment (eg, breast, colorectal, and lung cancer, as well as melanoma). For example, the odds ratios for advanced-stage disease (stage III or IV) at diagnosis for uninsured or Medicaid-insured patients with colorectal cancer were 2.0 (95% CI 1.9-2.1) and 1.6 (95% CI 1.5-1.7), respectively, compared with privately-insured patients. For advanced-stage melanoma, the odds ratios were 2.3 (2.1-2.5) for uninsured patients and 3.3 (3.0-3.6) for Medicaid-insured patients compared with privately insured patients. Black and Hispanic patients were noted to have an increased risk of advanced-stage disease (stage III or IV) at diagnosis, irrespective of insurance status, compared with White patients.
In this US-based analysis, uninsured and Medicaid-insured patients, and those from ethnic minorities, had substantially increased risks of presenting with advanced-stage cancers at diagnosis. Although many factors other than insurance status also affect the quality of care received, adequate insurance is a crucial factor for receiving appropriate cancer screening and timely access to medical care.
与拥有私人医疗保险的人相比,美国没有私人医疗保险的人获得医疗服务或参与癌症筛查项目的可能性更低。美国规模较小的地区性研究表明,未参保者和参加医疗补助保险者比有私人医疗保险的患者更有可能被诊断为晚期癌症;然而,这一发现尚未使用当代国家级数据进行评估。此外,与非西班牙裔白人相比,少数民族癌症患者更有可能未参保或参加医疗补助保险。区分这两种患者特征对癌症诊断分期的影响可能很困难。
利用美国国家癌症数据库(一个基于医院的登记处,包含来自约1430家医疗机构的患者信息)识别出1998年至2004年间在美国被诊断为癌症的患者。在控制患者特征的同时,估计保险状况(医疗补助、医疗保险(65 - 99岁)、医疗保险(18 - 64岁)、私人保险或未参保)和种族(白人、西班牙裔、黑人或其他)对12种癌症部位(女性乳腺癌、结直肠癌、肾癌、肺癌、黑色素瘤、非霍奇金淋巴瘤、卵巢癌、胰腺癌、前列腺癌、膀胱癌、子宫癌和甲状腺癌)诊断时疾病分期的比值比和95%置信区间。
3742407名患者纳入分析;患者特征与未纳入分析的相应美国人群相似。与有私人医疗保险的患者相比,未参保和参加医疗补助保险的患者被诊断为晚期癌症的可能性显著更高。这一发现对于那些可以通过筛查或症状评估早期发现的癌症患者最为突出(例如乳腺癌、结直肠癌、肺癌以及黑色素瘤)。例如,与有私人医疗保险的患者相比,未参保或参加医疗补助保险的结直肠癌患者诊断时晚期疾病(III期或IV期)的比值比分别为2.0(95%置信区间1.9 - 2.1)和1.6(95%置信区间1.5 - 1.7)。对于晚期黑色素瘤,与有私人医疗保险的患者相比,未参保患者的比值比为2.3(2.1 - 2.5),参加医疗补助保险的患者为3.3(3.0 - 3.6)。与白人患者相比,无论保险状况如何,黑人和西班牙裔患者在诊断时晚期疾病(III期或IV期)的风险增加。
在这项基于美国的分析中,未参保和参加医疗补助保险的患者以及少数民族患者在诊断时患晚期癌症的风险大幅增加。尽管除保险状况外还有许多其他因素也会影响所接受的医疗服务质量,但充足的保险是接受适当癌症筛查和及时获得医疗服务的关键因素。