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Receipt of Regular Primary Care and Early Cancer Detection in Appalachia.阿巴拉契亚地区的常规初级保健服务与早期癌症检测
J Rural Health. 2015 Summer;31(3):269-81. doi: 10.1111/jrh.12097. Epub 2014 Nov 4.
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Breast cancer screening, area deprivation, and later-stage breast cancer in Appalachia: does geography matter?阿巴拉契亚地区的乳腺癌筛查、地区贫困和晚期乳腺癌:地理位置重要吗?
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Stroke mortality disparities in the population of the Appalachian Mountain region.阿巴拉契亚地区人群中的中风死亡率差异。
Ethn Dis. 2013 Summer;23(3):286-91.
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Correlates of HPV vaccination among adolescent females from Appalachia and reasons why their parents do not intend to vaccinate.阿巴拉契亚地区青少年女性 HPV 疫苗接种的相关因素及其父母不打算接种疫苗的原因。
Vaccine. 2013 Jun 28;31(31):3121-5. doi: 10.1016/j.vaccine.2013.04.068. Epub 2013 May 9.
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8
Spatial accessibility of primary health care utilising the two step floating catchment area method: an assessment of recent improvements.利用两步浮动集水区法评估初级医疗保健的空间可达性:近期进展评估。
Int J Health Geogr. 2012 Nov 16;11:50. doi: 10.1186/1476-072X-11-50.
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Influence of primary care on breast cancer outcomes among Medicare beneficiaries.初级保健对医疗保险受益人的乳腺癌结局的影响。
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Comparing GIS-based measures in access to mammography and their validity in predicting neighborhood risk of late-stage breast cancer.基于 GIS 的获取乳房 X 光检查的可达性指标及其预测晚期乳腺癌社区风险的有效性比较。
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预测晚期乳腺癌的诊断及辅助治疗的接受情况:在阿巴拉契亚地区应用当前的医疗空间可达性方法

Predicting Late-stage Breast Cancer Diagnosis and Receipt of Adjuvant Therapy: Applying Current Spatial Access to Care Methods in Appalachia.

作者信息

Donohoe Joseph, Marshall Vince, Tan Xi, Camacho Fabian T, Anderson Roger, Balkrishnan Rajesh

机构信息

*Mountain-Pacific Quality Health Foundation, Helena, MT †College of Pharmacy, University of Michigan, Ann Arbor, MI ‡School of Pharmacy, West Virginia University, Morgantown, WV §Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA.

出版信息

Med Care. 2015 Nov;53(11):980-8. doi: 10.1097/MLR.0000000000000432.

DOI:10.1097/MLR.0000000000000432
PMID:26465126
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4610181/
Abstract

PURPOSE

The 2-step floating catchment area (2SFCA) method of measuring access to care has never been used to study cancer disparities in Appalachia. First, we evaluated the 2SFCA method in relation to traditional methods. We then examined the impact of access to mammography centers and primary care on late-stage breast cancer diagnosis and receipt of adjuvant hormonal therapy.

METHODS

Cancer registries from Pennsylvania, Ohio, Kentucky, and North Carolina were linked with Medicare data to identify the stage of breast cancer diagnosis for Appalachia women diagnosed between 2006 and 2008. Women eligible for adjuvant therapy had stage I, II, or III diagnosis; mastectomy or breast-conserving surgery; and hormone receptor-positive breast cancers. Geographically weighted regression was used to explore nonstationarity in the demographic and spatial access predictor variables.

RESULTS

Over 21% of 15,299 women diagnosed with breast cancer had late-stage (stages III-IV) diagnosis. Predictors included age at diagnosis [odds ratio (OR)=0.86; P<0.001], insurance status (OR=1.32; P<0.001), county primary care to population ratio (OR=0.95; P<0.001), and primary-care 2SFCA score (OR=0.96; P=0.006). Only 46.9% of eligible women received adjuvant hormonal therapy, and predictors included comorbidity status (OR=1.18; P=0.047), county economic status (OR=1.32; P=0.006), and mammography center 2SFCA scores (OR=1.12; P=0.021).

CONCLUSIONS

Methodologically, the 2SFCA method offered the greatest predictive validity of the access measures examined. Substantively, rates of late-stage breast cancer diagnosis and adjuvant hormonal therapy are substandard in Appalachia.

摘要

目的

两步浮动集水区(2SFCA)法用于衡量医疗服务可及性,此前从未被用于研究阿巴拉契亚地区的癌症差异。首先,我们评估了2SFCA法与传统方法的关系。然后,我们研究了乳腺钼靶检查中心可及性和初级医疗服务对晚期乳腺癌诊断及辅助激素治疗接受情况的影响。

方法

将宾夕法尼亚州、俄亥俄州、肯塔基州和北卡罗来纳州的癌症登记数据与医疗保险数据相链接,以确定2006年至2008年间被诊断出乳腺癌的阿巴拉契亚女性的癌症分期。符合辅助治疗条件的女性为I、II或III期诊断;接受了乳房切除术或保乳手术;且为激素受体阳性乳腺癌。采用地理加权回归来探究人口统计学和空间可及性预测变量的非平稳性。

结果

在15299名被诊断为乳腺癌的女性中,超过21%为晚期(III - IV期)诊断。预测因素包括诊断时的年龄[比值比(OR)=0.86;P<0.001]、保险状况(OR=1.32;P<0.001)、县初级医疗服务与人口比例(OR=0.95;P<0.001)以及初级医疗服务2SFCA评分(OR=0.96;P=0.006)。只有46.9%的符合条件的女性接受了辅助激素治疗,预测因素包括合并症状况(OR=1.18;P=0.047)、县经济状况(OR=1.32;P=0.006)以及乳腺钼靶检查中心2SFCA评分(OR=1.12;P=0.021)。

结论

从方法学角度来看,2SFCA法在所研究的可及性测量方法中具有最大的预测效度。从实际情况来看,阿巴拉契亚地区晚期乳腺癌诊断率和辅助激素治疗率均未达标准。