Contribution of County Characteristics to Disparities in Rural Mortality After Cancer Diagnosis

被引:0
|
作者
Franks, Jeffrey A. [1 ]
Davis, Elizabeth S. [2 ]
Bhatia, Smita [3 ]
Kenzik, Kelly M. [2 ,4 ]
机构
[1] Univ Alabama Birmingham, Heersink Sch Med, Div Hematol & Oncol, Birmingham, AL USA
[2] Boston Univ, Chobanian & Avedisian Sch Med, Dept Surg, 85 East Concord St, Boston, MA 02118 USA
[3] Univ Alabama Birmingham, Inst Canc Outcomes & Survivorship, Heersink Sch Med, Birmingham, AL USA
[4] Boston Univ, Slone Epidemiol Ctr, Boston, MA USA
关键词
UNITED-STATES; CIGARETTE-SMOKING; OUTCOMES; OBESITY; URBAN; NONMETROPOLITAN; METROPOLITAN; RESIDENCE;
D O I
10.1016/j.amepre.2024.02.003
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction: Rural disparities in cancer outcomes have been widely evaluated, but limited evidence is available to describe what characteristics of rural environments contribute to the increased risk of poor outcomes. Therefore, this manuscript sought to assess the mediating effects of county characteristics on the relationship between urban/rural status and mortality among patients with cancer, characterize county profiles, fi les, and determine at-risk county profiles fi les alongside rural settings. Methods: Patients diagnosed with cancer between 2000 and 2016 were assessed using Surveillance, Epidemiology and End Results data linked to the 2010 Rural-Urban Commuting Codes and 2010 County Health Rankings. There were 757,655 patients representing 596 counties (of 3,143 in the U.S.) and 12 states. Mediation analyses, conducted in 2023, estimated the direct contribution of rurality to 5-year all-cause survival and the contribution of the rural effect indirectly through County Health Ranking domains. Latent class analysis and survival models identified fi ed county groupings and estimated the hazard of mortality associated with class membership. Results: Rankings for premature death, clinical care, and physical environment resulted in rural patients having 17.9%-20.2% - 20.2% less survival time than urban patients. Of this, 4.1%-12.6% - 12.6% of the total excess risk was mediated by these characteristics. Patients living in rural and high-risk county classes saw higher all-cause mortality than those in urban lower-risk counties (hazard ratio=1.04, 95% CI=1.01, 1.08 and 1.07, 95% CI=1.03, 1.11). Conclusions: Counties with poorer health rankings had increased mortality risks regardless of rurality; however, the poor rankings, notably health behaviors and social and economic factors, elevated the risk for rural counties. Am J Prev Med 2024;67(1):79-89. - 89. (c) 2024 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:79 / 89
页数:11
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