美国儿童骨科医生的地理分布

B. Ehrlich, M. Fanelli, Amanda K Young, Bhumkida Maddineni, M. Cornell, Daniel Sylvestre, M. Seeley
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引用次数: 1

摘要

前言:本研究的目的是探讨美国儿童骨科医生(POS)的地理分布,以准确评估儿童骨科手术护理。方法:利用北美儿科骨科学会(POSNA)的公开信息编制美国所有POS的列表。总共记录了1188名外科医生的姓名、执业地点和其他联系信息。外科医生被划分为国会选区(cd)。利用Richard Cooper博士的趋势模型和对2020年骨科医生需求的预测,将每个州和CD划分为最佳、次优和大于最佳的POS数量。结果:POS数量最多的是加利福尼亚州、德克萨斯州、佛罗里达州和纽约州,最少的是怀俄明州和蒙大拿州。每个州的POS中位数为23(范围:0-134)。每张CD的POS中位数为2(范围:0-38)。在美国的435张cd中,有187张cd的POS为0。而且,所有435张cd的POS数量都不理想。讨论和结论:目前,没有专门针对POS的外科医生人口比例标准。此外,关于骨科的数据一般是基于国家数据,没有考虑到可能导致建议比例不同的当地人口、经济和医生执业模式的变化。然而,这项研究产生的数据表明,POS机在美国各地的分布并不均匀,许多地区没有得到最佳服务。
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Geographic Distribution of Pediatric Orthopaedic Surgeons throughout the United States
Introduction: The purpose of this study was to explore the geographic distribution of pediatric orthopaedic surgeons (POS) in the US as an accurate assessment of pediatric orthopaedic surgical care. Methods: A list of all POS in the US was compiled using publicly available information from the Pediatric Orthopaedic Society of North America (POSNA). Name, practice location, and other contact information were recorded for a total of 1,188 surgeons. Surgeons were sorted into congressional districts (CDs). Using Dr. Richard Cooper’s Trend Model and projections for the demand of orthopaedic surgeons in 2020, each state and CD was classified as having optimal, suboptimal, and greater-than-optimal numbers of POS. Results: The most POS were in California, Texas, Florida, and New York and the least were in Wyoming and Montana. The median number of POS per state was 23 (range: 0-134). The median number of POS per CD was 2 (range: 0-38). Out of a total number of 435 CDs in the US, there were 187 CDs that had 0 POS. Furthermore, all 435 CDs had suboptimal numbers of POS. Discussion and Conclusion: Currently, there is no surgeon: population ratio standard for POS specifically. Furthermore, numbers generated about orthopaedics in general are based on national figures and do not take into account local demographic, economic, and physician practice pattern variations that can cause suggested ratios to differ. However, the data generated from this study suggests that POS are not evenly distributed throughout the US and many areas are not optimally served.
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