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骨科手术中的性别代表性:2015年至2022年的地理空间分析

Gender Representation in Orthopaedic Surgery: A Geospatial Analysis From 2015 to 2022.

作者信息

Peterman Nicholas J, Macinnis Bailey, Stauffer Katy, Mann Rachel, Yeo Eunhae G, Carpenter Kristine

机构信息

Medical School, Carle Foundation Hospital, Urbana, USA.

Family Medicine, Carle Illinois College of Medicine, Urbana, USA.

出版信息

Cureus. 2022 Jul 26;14(7):e27305. doi: 10.7759/cureus.27305. eCollection 2022 Jul.

DOI:10.7759/cureus.27305
PMID:35903485
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9322145/
Abstract

Introduction The gender disparity in orthopaedic surgery is well-established. According to our analysis, only 7.4% of practicing orthopaedic surgeons in the US are female in 2022. While there are several theories attempting to explain this gender gap, our eight years of data show that limited female representation is a self-perpetuating cycle as areas without female representation almost never improve in that regard. It appears that existing female mentorship is critical to the growth of a female orthopaedic presence in an area. In the present work, we aim to describe how gender diversity in orthopaedic surgery differs across the country, how this diversity is changing over time, and how surgeon gender diversity may be affected by the sociodemographic characteristics making up the counties where orthopaedic surgery is practiced. Methods A retrospective study was conducted using publicly available National Provider Identifier (NPI) data from 2015 to 2022. Orthopaedic surgeons and their genders were identified using the Provider Type and Gender data elements associated with an individual NPI. Rural-urban and metro characters were defined using the USDA Economic Research Reserve's rural-urban continuum codes. Python was used for database building and data cleaning. GeoDa, a statistical map-based graphing software, was used to plot and assess demographic, geographic, and socioeconomic trends. Trends in gender diversity from 2015 to 2019 were analyzed for each individual year as well as the time period as an aggregate. Cluster analysis was performed to assess complex spatial patterns of variables that could not be condensed linearly or logarithmically. Moran's I was used to measure the similarity of a Federal Information Processing System (FIPS) area code to its neighbors. Within the clustering analysis, spatial clusters were broken down into four groups of spatial outliers (High-High, High-Low, Low-High, and Low-Low) referencing a given area's relationship with its neighbors. Factorial ANOVA between each of the four cluster types was performed using the variables provided in the article to identify significant demographic variables within the cluster analysis. Results There are relative hotspots of gender diversity in the Northwest, Northeast, and Southwest with relative coldspots in the Midwest and Southern US. In counties that are considered gender diversity hotspots, the total population of orthopaedic surgeons increases by 0.94 each year while the population of female orthopaedic surgeons increases by 0.2, suggesting that in areas with high gender diversity, 4.7 male orthopaedic surgeons are joining practices for every 1.0 female. In areas with low gender diversity, the population of orthopaedic surgeons increases by 0.11 surgeons each year while the slope for an increase in female orthopaedic surgeons is 0. Conclusions  Orthopaedic surgery lags behind other male-dominated surgical specialties in gender parity. Our analysis demonstrates that certain areas of the country including the Northwest, Northeast, and Arizona have improved gender diversity compared to the rest of the country. We also see that the rate of increase of female orthopaedic surgeons in the past seven years is highest in areas with more preexisting female orthopaedic surgeons, suggesting the importance of a "trailblazer" phenomenon in recruiting female surgeons.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e2/9322145/64294acb21fd/cureus-0014-00000027305-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e2/9322145/12d8ca6ffe7d/cureus-0014-00000027305-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e2/9322145/64294acb21fd/cureus-0014-00000027305-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e2/9322145/12d8ca6ffe7d/cureus-0014-00000027305-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63e2/9322145/64294acb21fd/cureus-0014-00000027305-i02.jpg
摘要

引言 骨科手术中的性别差异已得到充分证实。根据我们的分析,2022年美国执业骨科医生中只有7.4%是女性。虽然有几种理论试图解释这种性别差距,但我们八年的数据表明,女性代表比例有限是一个自我延续的循环,因为没有女性代表的领域在这方面几乎从未改善。现有女性导师对女性在某一领域从事骨科工作的发展似乎至关重要。在本研究中,我们旨在描述骨科手术中的性别多样性在全国范围内如何不同,这种多样性如何随时间变化,以及外科医生性别多样性可能如何受到开展骨科手术的县的社会人口特征的影响。

方法 利用2015年至2022年公开可用的国家提供者识别码(NPI)数据进行回顾性研究。使用与单个NPI相关的提供者类型和性别数据元素来识别骨科医生及其性别。城乡和大都市特征使用美国农业部经济研究储备局的城乡连续体代码来定义。使用Python进行数据库构建和数据清理。使用基于统计地图的绘图软件GeoDa来绘制和评估人口、地理和社会经济趋势。对2015年至2019年的性别多样性趋势进行逐年分析以及作为一个整体时间段的分析。进行聚类分析以评估无法线性或对数压缩的变量的复杂空间模式。使用莫兰指数(Moran's I)来衡量联邦信息处理系统(FIPS)区号与其相邻区域的相似性。在聚类分析中,空间聚类被分解为四组空间异常值(高高、高低、低高和低低),参考给定区域与其相邻区域的关系。使用本文提供的变量对四种聚类类型中的每一种进行析因方差分析,以识别聚类分析中的显著人口统计学变量。

结果 西北、东北和西南部存在性别多样性的相对热点地区,而美国中西部和南部存在相对冷点地区。在被视为性别多样性热点的县,骨科医生总数每年增加0.94人,而女性骨科医生人数增加0.2人,这表明在性别多样性高的地区,每1.0名女性骨科医生加入该行业时,有4.7名男性骨科医生加入。在性别多样性低的地区,骨科医生人数每年增加0.11人,而女性骨科医生人数增加的斜率为0。

结论 骨科手术在性别平等方面落后于其他男性主导的外科专科。我们的分析表明,与美国其他地区相比,该国某些地区,包括西北、东北和亚利桑那州,在性别多样性方面有所改善。我们还发现,在过去七年中,女性骨科医生增加率最高的地区是已有更多女性骨科医生的地区,这表明在招募女性外科医生方面“开拓者”现象的重要性。

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