Adams Swann Arp, Babatunde Oluwole Adeyemi, Zahnd Whitney E, Hung Peiyin, Wickersham Karen E, Bell Nathaniel, Eberth Jan M
Department of Biobehavioral Health and Nursing Science, College of Nursing, University of South Carolina, Columbia, SC 29208, USA.
Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
Int J Environ Res Public Health. 2025 Jan 27;22(2):176. doi: 10.3390/ijerph22020176.
Travel to and from distant cancer treatment facilities can place a significant burden on cancer patients, particularly rural and minority survivors. Thus, the purpose of our investigation was to examine the association between patient travel distance and delays in types of treatment for breast cancer (surgery, radiation, chemotherapy, and hormonal therapy) and treatment delays. Using a novel linkage between the state cancer registry and administrative data from Medicaid and a private insurance plan, 2155 BC patients were successfully linked to create the cohort. ArcGIS was used to geocode all case residences and treatment facility addresses and calculate network distance between the residence and each facility. Logistic regression models were used to calculate the adjusted odds of being delayed versus timely by street distance. Odds of late surgery were increased by 1% (95% CI: 1.00, 1.01) for each one-mile increase from the patient's residence to the treatment facility. In race-stratified models, the odds of late treatment for Black patients increased by 3% per mile (95% CI 1.01, 1.06) for radiation. Increased travel distance appears to significantly increase treatment delays for surgical, radiation, and chemotherapeutic treatments for women with BC, especially among Black women.
往返于遥远的癌症治疗机构会给癌症患者带来巨大负担,尤其是农村地区和少数族裔的幸存者。因此,我们调查的目的是研究患者的出行距离与乳腺癌治疗类型(手术、放疗、化疗和激素治疗)的延迟以及治疗延误之间的关联。通过将州癌症登记处与医疗补助计划和一项私人保险计划的行政数据进行新颖的关联,成功关联了2155名乳腺癌患者以创建队列。利用ArcGIS对所有病例的居住地址和治疗机构地址进行地理编码,并计算住所与每个机构之间的网络距离。使用逻辑回归模型来计算按街道距离延迟治疗与及时治疗的调整后比值比。从患者住所到治疗机构每增加一英里,手术延迟的比值比增加1%(95%置信区间:1.00,1.01)。在按种族分层的模型中,黑人患者放疗延迟的比值比每英里增加3%(95%置信区间1.01,1.06)。出行距离增加似乎会显著增加乳腺癌女性患者手术、放疗和化疗的治疗延迟,尤其是黑人女性。