Selina Rahman, James H Price, Mark Dignan, Saleh Rahman, Peter S Lindquist, Timothy R Jordan
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Logistic regression found age, family history, hormone replacement therapy, physician recommendation, and breast cancer stage at diagnosis to be significant predictors of having had a previous mammogram. Women having higher access to mammography facilities were less likely to have had a previous mammogram compared to women who had low access, considering all the facilities within 10 miles (OR=0.41, CI=0.22-0.76), 30 miles (OR=0.52, CI=0.29-0.91) and 40 miles (OR=0.51, CI=0.28-0.92) radiuses. CONCLUSIONS: Physical distance to mammography facilities does not necessarily predict utilization of mammogram and greater access does not assure greater utilizations, due to constraints imposed by socio economic and cultural barriers. Future studies should focus on measuring access to mammography facilities capturing a broader dimension of access considering qualitative aspect of facilities, as well as other travel impedances.</p>","PeriodicalId":87998,"journal":{"name":"International journal of cancer prevention","volume":"2 6","pages":"403-413"},"PeriodicalIF":0.0000,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2902003/pdf/nihms-137810.pdf","citationCount":"0","resultStr":"{\"title\":\"Access to Mammography Facilities and Detection of Breast Cancer by Screening Mammography: A GIS Approach.\",\"authors\":\"Selina Rahman, James H Price, Mark Dignan, Saleh Rahman, Peter S Lindquist, Timothy R Jordan\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>OBJECTIVES: The objective of the study was to examine the association between access to mammography facilities and utilization of screening mammography in an urban population. METHODS: Data on female breast cancer cases were obtained from an extensive mammography surveillance project. Distance to mammography facilities was measured by using GIS, which was followed by measuring geographical access to mammography facilities using Floating Catchment Area (FCA) method (considering all available facilities within an arbitrary radius from the woman's residence by using Arc GIS 9.0 software). RESULTS: Of 2,024 women, 91.4% were Caucasian; age ranged from 25 to 98 years; most (95%) were non-Hispanic in origin. Logistic regression found age, family history, hormone replacement therapy, physician recommendation, and breast cancer stage at diagnosis to be significant predictors of having had a previous mammogram. Women having higher access to mammography facilities were less likely to have had a previous mammogram compared to women who had low access, considering all the facilities within 10 miles (OR=0.41, CI=0.22-0.76), 30 miles (OR=0.52, CI=0.29-0.91) and 40 miles (OR=0.51, CI=0.28-0.92) radiuses. CONCLUSIONS: Physical distance to mammography facilities does not necessarily predict utilization of mammogram and greater access does not assure greater utilizations, due to constraints imposed by socio economic and cultural barriers. Future studies should focus on measuring access to mammography facilities capturing a broader dimension of access considering qualitative aspect of facilities, as well as other travel impedances.</p>\",\"PeriodicalId\":87998,\"journal\":{\"name\":\"International journal of cancer prevention\",\"volume\":\"2 6\",\"pages\":\"403-413\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2902003/pdf/nihms-137810.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of cancer prevention\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of cancer prevention","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
研究目的本研究旨在探讨城市人口中乳腺 X 射线照相设施的可及性与乳腺 X 射线照相筛查利用率之间的关系。 方法:女性乳腺癌病例数据来自一个广泛的乳腺放射摄影监测项目。使用地理信息系统测量了乳腺放射摄影设施的距离,然后使用浮动集水区(FCA)方法测量了乳腺放射摄影设施的地理位置(使用 Arc GIS 9.0 软件考虑了妇女住所任意半径范围内的所有可用设施)。 结果:在 2024 名妇女中,91.4% 为白种人;年龄在 25 岁至 98 岁之间;大多数(95%)为非西班牙裔。逻辑回归发现,年龄、家族史、荷尔蒙替代疗法、医生建议和诊断时的乳腺癌分期是预测是否进行过乳房 X 光检查的重要因素。考虑到方圆 10 英里(OR=0.41,CI=0.22-0.76)、30 英里(OR=0.52,CI=0.29-0.91)和 40 英里(OR=0.51,CI=0.28-0.92)范围内的所有乳腺 X 射线照相设施,与交通不便的妇女相比,交通便利的妇女以前做过乳腺 X 射线照相的可能性较小。 结论:由于社会经济和文化障碍的限制,与乳腺 X 射线照相设施的物理距离并不一定能预测乳腺 X 射线照相的使用率,而且更多的使用机会并不能保证更高的使用率。今后的研究应侧重于测量乳腺 X 射线照相设施的使用情况,从更广泛的角度考虑设施的质量以及其他旅行障碍。
Access to Mammography Facilities and Detection of Breast Cancer by Screening Mammography: A GIS Approach.
OBJECTIVES: The objective of the study was to examine the association between access to mammography facilities and utilization of screening mammography in an urban population. METHODS: Data on female breast cancer cases were obtained from an extensive mammography surveillance project. Distance to mammography facilities was measured by using GIS, which was followed by measuring geographical access to mammography facilities using Floating Catchment Area (FCA) method (considering all available facilities within an arbitrary radius from the woman's residence by using Arc GIS 9.0 software). RESULTS: Of 2,024 women, 91.4% were Caucasian; age ranged from 25 to 98 years; most (95%) were non-Hispanic in origin. Logistic regression found age, family history, hormone replacement therapy, physician recommendation, and breast cancer stage at diagnosis to be significant predictors of having had a previous mammogram. Women having higher access to mammography facilities were less likely to have had a previous mammogram compared to women who had low access, considering all the facilities within 10 miles (OR=0.41, CI=0.22-0.76), 30 miles (OR=0.52, CI=0.29-0.91) and 40 miles (OR=0.51, CI=0.28-0.92) radiuses. CONCLUSIONS: Physical distance to mammography facilities does not necessarily predict utilization of mammogram and greater access does not assure greater utilizations, due to constraints imposed by socio economic and cultural barriers. Future studies should focus on measuring access to mammography facilities capturing a broader dimension of access considering qualitative aspect of facilities, as well as other travel impedances.