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本文引用的文献

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Cancer statistics, 2016.癌症统计数据,2016 年。
CA Cancer J Clin. 2016 Jan-Feb;66(1):7-30. doi: 10.3322/caac.21332. Epub 2016 Jan 7.
2
Effect on survival of longer intervals between confirmed diagnosis and treatment initiation among low-income women with breast cancer.低收入乳腺癌女性确诊后治疗启动时间间隔延长对生存的影响。
J Clin Oncol. 2012 Dec 20;30(36):4493-500. doi: 10.1200/JCO.2012.39.7695. Epub 2012 Nov 19.
3
Comorbidity and the limitations of volume and focus as organizing principles.合并症和作为组织原则的容量和焦点的局限性。
Med Care Res Rev. 2012 Feb;69(1):83-102. doi: 10.1177/1077558711418520. Epub 2011 Aug 17.
4
Patient navigation: an update on the state of the science.患者导航:科学研究的最新进展。
CA Cancer J Clin. 2011 Jul-Aug;61(4):237-49. doi: 10.3322/caac.20111. Epub 2011 Jun 9.
5
Adoption of intensity-modulated radiation therapy for breast cancer in the United States.美国对乳腺癌调强放疗的采用。
J Natl Cancer Inst. 2011 May 18;103(10):798-809. doi: 10.1093/jnci/djr100. Epub 2011 Apr 27.
6
Propensity score techniques and the assessment of measured covariate balance to test causal associations in psychological research.倾向评分技术与测量协变量平衡评估在心理研究中测试因果关系。
Psychol Methods. 2010 Sep;15(3):234-49. doi: 10.1037/a0019623.
7
Racial differences in definitive breast cancer therapy in older women: are they explained by the hospitals where patients undergo surgery?老年女性确诊乳腺癌治疗中的种族差异:这些差异是否可以通过患者接受手术的医院来解释?
Med Care. 2009 Jul;47(7):765-73. doi: 10.1097/MLR.0b013e31819e1fe7.
8
Breast cancer survival among economically disadvantaged women: the influences of delayed diagnosis and treatment on mortality.经济弱势女性的乳腺癌生存率:延迟诊断和治疗对死亡率的影响。
Cancer Epidemiol Biomarkers Prev. 2008 Oct;17(10):2882-90. doi: 10.1158/1055-9965.EPI-08-0221. Epub 2008 Oct 3.
9
Barriers to diagnostic resolution after abnormal mammography: a review of the literature.乳腺X线摄影异常后诊断性分辨率的障碍:文献综述
Cancer Nurs. 2008 Sep-Oct;31(5):E16-30. doi: 10.1097/01.NCC.0000305764.96732.45.
10
Racial/ethnic disparities in time to follow-up after an abnormal mammogram.乳房X光检查异常后随访时间的种族/民族差异。
J Womens Health (Larchmt). 2008 Jul-Aug;17(6):923-30. doi: 10.1089/jwh.2007.0402.

阿巴拉契亚社区中医院特征对乳腺癌诊断延迟的影响:一项基于人群的研究。

The Effects of Hospital Characteristics on Delays in Breast Cancer Diagnosis in Appalachian Communities: A Population-Based Study.

机构信息

Department of Health Law, Policy and Management, Boston University, Boston, Massachusetts.

College of Business, The University of Texas at San Antonio, San Antonio, Texas.

出版信息

J Rural Health. 2018 Feb;34 Suppl 1(Suppl 1):s91-s103. doi: 10.1111/jrh.12226. Epub 2017 Jan 19.

DOI:10.1111/jrh.12226
PMID:28102909
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5517359/
Abstract

PURPOSE

Despite being generally accepted that delays in diagnosing breast cancer are of prognostic and psychological concern, the influence of hospital characteristics on such delays remains poorly understood, especially in rural and underserved areas. However, hospital characteristics have been tied to greater efficiency and warrant further investigation as they may have implications for breast cancer care in these areas.

METHODS

Study data were derived from the Kentucky, North Carolina, Ohio, and Pennsylvania state central cancer registries (2006-2008). We then linked Medicare enrollment files and claims data (2005-2009), the Area Resource File (2006-2008), and the American Hospital Association Annual Survey of Hospitals (2007) to create an integrated data set. Hierarchical linear modeling was used to regress the natural log of breast cancer diagnosis delay on a number of hospital-level, demographic, and clinical characteristics.

FINDINGS

The baseline study sample consisted of 4,547 breast cancer patients enrolled in Medicare that lived in Appalachian counties at the time of diagnosis. We found that hospitals with for-profit ownership (P < .01) had shorter diagnosis delays than their counterparts. Estimates for comprehensive oncology services, system membership and size were not statistically significant at conventional levels.

CONCLUSIONS

Some structural characteristics of hospitals (eg, for-profit ownership) in the Appalachian region are associated with having shorter delays in diagnosing breast cancer. Researchers and practitioners must go beyond examining patient-level demographic and tumor characteristics to better understand the drivers of timely cancer diagnosis, especially in rural and underserved areas.

摘要

目的

尽管人们普遍认为乳腺癌诊断延迟具有预后和心理方面的影响,但医院特征对这种延迟的影响仍知之甚少,尤其是在农村和服务不足的地区。然而,医院特征与更高的效率有关,值得进一步研究,因为它们可能对这些地区的乳腺癌护理产生影响。

方法

研究数据来自肯塔基州、北卡罗来纳州、俄亥俄州和宾夕法尼亚州的州立癌症登记处(2006-2008 年)。然后,我们将医疗保险登记文件和索赔数据(2005-2009 年)、区域资源文件(2006-2008 年)和美国医院协会年度医院调查(2007 年)链接起来,创建了一个综合数据集。我们使用分层线性模型将乳腺癌诊断延迟的自然对数回归到许多医院层面、人口统计学和临床特征上。

结果

基础研究样本包括 4547 名居住在诊断时阿巴拉契亚县的医疗保险乳腺癌患者。我们发现,营利性所有权的医院(P<.01)的诊断延迟比其对应医院短。综合肿瘤服务、系统成员和规模的估计在常规水平上没有统计学意义。

结论

阿巴拉契亚地区医院的一些结构特征(例如,营利性所有权)与乳腺癌诊断延迟较短有关。研究人员和从业者必须超越检查患者层面的人口统计学和肿瘤特征,以更好地理解及时癌症诊断的驱动因素,尤其是在农村和服务不足的地区。