Suppr超能文献

结合行车时间和泌尿科医生密度了解泌尿科护理的可及性。

Combining Drive Time and Urologist Density to Understand Access to Urologic Care.

机构信息

University of Utah, Huntsman Cancer Institute, Salt Lake City, UT.

University of Utah, Huntsman Cancer Institute, Salt Lake City, UT.

出版信息

Urology. 2020 May;139:78-83. doi: 10.1016/j.urology.2020.02.004. Epub 2020 Feb 17.

Abstract

OBJECTIVE

To improve our understanding of timely access to urologic care, we leveraged driving time combined with a measure of urologist density.

MATERIALS AND METHODS

We identified all urologists who billed Medicare using National Provider Identifier in 2015 and geocoded their practice location. We developed drive-time based service areas for each provider using Esri's street network dataset stratified into 30, 60, 90, and 120-minute areas. Population characteristics were aggregated and block groups were assigned to a Hospital Referral Region.

RESULTS

We identified 10,170 urologists that billed Medicare in 2015 in the United States. Compared to the northeast, vast expanses of land across the western United States have drive times to urology care >60 minutes. However, less than 13% of the US population is unable to obtain urologic care within 30 minutes. Likely reflecting rural populations, White and American Indian populations are represented in greater proportion among those requiring a longer drive time to urologic care. Disparities were noted between areas with timely access to a high versus low density of urologists; low density areas have a greater proportion of Black and Asian populations and greater income inequality.

CONCLUSIONS

Drive time to urologists combined with urologist density is a novel approach to investigating urologic care access and a tool for health disparities research. While almost all of the US population lives within 1-hour drive time to a urologist there remains important differences in the population severed by high compared to low provider density.

摘要

目的

为了增进我们对及时获得泌尿科护理的理解,我们利用行车时间并结合泌尿科医生密度来进行衡量。

材料与方法

我们确定了所有在 2015 年使用国家提供者标识符向医疗保险收费的泌尿科医生,并对其执业地点进行了地理编码。我们使用 Esri 的街道网络数据集为每位医生开发了基于行车时间的服务区域,这些数据集分为 30、60、90 和 120 分钟的区域。我们将人口特征进行了汇总,并将街区组分配到医院转诊区。

结果

我们在美国 2015 年确定了 10170 名向医疗保险收费的泌尿科医生。与东北部相比,美国西部广大地区到泌尿科护理的行车时间超过 60 分钟。然而,不到 13%的美国人口无法在 30 分钟内获得泌尿科护理。可能反映了农村人口的情况,在需要更长行车时间才能获得泌尿科护理的人群中,白人和美洲印第安人占比较大。在能够及时获得高密度和低密度泌尿科医生的地区之间存在差异;低密度地区的黑人和亚裔人口比例更高,收入不平等程度更大。

结论

将行车时间与泌尿科医生密度相结合是一种研究泌尿科护理可及性的新方法,也是卫生差异研究的工具。虽然几乎所有的美国人口都在距离泌尿科医生 1 小时车程内,但在高与低提供者密度服务的人群中仍存在重要差异。

相似文献

4
Geographic Distribution of Urologists in Korea, 2007 to 2012.2007年至2012年韩国泌尿科医生的地理分布
J Korean Med Sci. 2015 Nov;30(11):1638-45. doi: 10.3346/jkms.2015.30.11.1638. Epub 2015 Oct 16.
6
Urologist density and county-level urologic cancer mortality.泌尿科医生密度与县级泌尿癌症死亡率。
J Clin Oncol. 2010 May 20;28(15):2499-504. doi: 10.1200/JCO.2009.26.9597. Epub 2010 Apr 20.

本文引用的文献

3
The relationship of travel distance with cystectomy access and outcomes.旅行距离与膀胱切除术入路及结果的关系。
Urol Oncol. 2018 Jun;36(6):308.e1-308.e9. doi: 10.1016/j.urolonc.2018.03.005. Epub 2018 Mar 19.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验