International Journal for Equity in Health | |
Determinants of delayed detection of cancers in Texas Counties in the United States of America | |
Research | |
Eric Belasco1  Conrad P Lyford2  Gordon Gong3  Kristopher A Hargrave3  Billy U Philips4  | |
[1] Department of Agricultural Economics and Economics, Montana State University, 9717-2920, Bozeman, MT, USA;Department of Agricultural and Applied Economics, Texas Tech University, 9409, Lubbock, TX, USA;F. Marie Hall Institute for Rural Community Health, Texas Tech University Health Science Center, 9430, Lubbock, TX, USA;F. Marie Hall Institute for Rural Community Health, Texas Tech University Health Science Center, 9430, Lubbock, TX, USA;Department of Family and Community Medicine, F. Marie Hall Institute for Rural and Community Health, Texas Tech University Health Science Center, Suite 2B440 - 3601, 4th Street MS 6232, 9430-6232, Lubbock, TX, USA; | |
关键词: Early detection; Cancer; Socioeconomic; Deprivation; Wellbeing index; | |
DOI : 10.1186/1475-9276-11-29 | |
received in 2012-02-23, accepted in 2012-04-20, 发布年份 2012 | |
来源: Springer | |
【 摘 要 】
IntroductionPrevious studies have shown that delayed detection of several cancers is related to socioeconomic deprivation as measured by the Wellbeing Index (WI) in Texas, the United States of America (USA). The current study investigates whether delayed cancer detection is related to lack of health insurance, physician shortage and higher percentages of Hispanics rather than WI per se since these factors are directly related to delayed cancer detection and may confound WI.MethodsCancer data and potential determinants of delayed cancer detection are derived from Texas Cancer Registry, Texas State Data Center, and Texas Department of State Health Services and U.S. Census Bureau. Texas cancer data from 1997 to 2003 are aggregated to calculate age-adjusted late- and early-stage cancer detection rates. The WI for each county is computed using data from the USA Census 2000. A weighted Tobit regression model is used to account for population size and censoring. The percentage of late-stage cancer cases is the dependent variable while independent variables include WI and the aforementioned potential confounders.ResultsDelayed detection of breast, lung, colorectal and female genital cancers is associated with higher percentage of uninsured residents (p < 0.05). Delayed detection is also associated with physician shortage and lower percentages of Hispanics for certain cancers ceteris paribus ( p < 0.05). The percentage of late-stage cases is positively correlated with WI for lung, and prostate cancers after adjusting for confounders ( p < 0.05).ConclusionsThe percentages of uninsured and Hispanic residents as well as physician supply are determinants of delayed detection for several cancers independently of WI, and vice versa. Identification of these determinants provides the evidence-base critical for decision makers to address specific issues for promoting early detection in effective cancer control.
【 授权许可】
Unknown
© Gong et al.; licensee BioMed Central Ltd. 2012. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
【 预 览 】
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RO202311101787965ZK.pdf | 1271KB | download |
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