Spatial mapping of colorectal cancer screening uptake and associated factors

被引:0
|
作者
Dagne, Getachew A. [1 ]
机构
[1] Univ S Florida, Coll Publ Hlth, 13201 Bruce B Downs Blvd, Tampa, FL 33612 USA
关键词
Bayesian inference; beta model; colorectal cancer; spatial mapping; HEALTH-INSURANCE; MODELS; DISPARITIES; ADHERENCE; MORTALITY;
D O I
10.1097/CEJ.0000000000000840
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
ObjectiveOver the past decades, it has been understood that the availability of screening tests has contributed to a steady decline in incidence of colorectal cancer (CRC). However, it is also seen that there is a geographic disparity in the use of such tests across small areas. The aim of this study is to examine small-area level barrier factors that may impact CRC screening uptake and to delineate coldspot (low uptake of screening) counties in Florida.MethodsData on the percentages of county-level CRC screening uptakes in 2016 and county-level barrier factors for screening were obtained from the Florida Department of Health, Division of Public Health Statistics & Performance Management. Bayesian spatial beta models were used to produce posterior probability of deceedance to identify coldspots for CRC screening rates.ResultsUnadjusted screening rates using sigmoidoscopy or colonoscopy test ranged from 56.8 to 85%. Bayesian spatial beta models were fitted to the proportion data. At an ecological level, we found that an increasing rate of CRC screening uptake for either of the test types (colon/rectum exam, stool-based test) was strongly associated with a higher health insurance coverage, and lower percentage of population that speak English less than very well (immigration) at county level. Eleven coldspot counties out of 67 total were also identified.ConclusionThis study suggests that health insurance disparities in the use of CRC screening tests are an important factor that may need more attention for resource allocation and health policy targeting small areas with low uptake of screening.
引用
收藏
页码:161 / 167
页数:7
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