美国眼科肿瘤医生供应和患者对葡萄膜黑色素瘤治疗需求的地域模式:供需分析》。

Clinical ophthalmology (Auckland, N.Z.) Pub Date : 2024-09-03 eCollection Date: 2024-01-01 DOI:10.2147/OPTH.S472064
Alexander C Lieu, Benton G Chuter, Niloofar Radgoudarzi, Evan H Walker, John H Huang, Nathan L Scott, Natalie A Afshari
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引用次数: 0

摘要

目的:研究美国眼肿瘤科医生对葡萄膜黑色素瘤和其他眼肿瘤保健的供需地理模式:方法:通过 trends.google.com 获取谷歌搜索兴趣数据。用各州及其周边州的眼科肿瘤医师人数除以各州人口,计算出眼科肿瘤医师的综合州密度。相对搜索量(RSV)值除以眼科肿瘤医生密度,计算出各州的谷歌相对需求指数(gRDI)。医疗保险(mRDI)和 IRIS® 注册(iRDI)相对需求指数是通过视觉和眼健康监测系统(VEHSS)获得的患病率数据计算得出的。此外,还利用美国人口普查局(US Census Bureau)和美国疾病控制中心(Centers for Disease Control,CDC)数据库中的数据分析了与贫困率、城市或农村地区居住人口比例、视力筛查率和眼部肿瘤发病率之间的关联:阿拉巴马州的 RSV 人数最多(100 人),新墨西哥州最少(20 人)。佛蒙特州的眼肿瘤眼科医生密度最高(每 10 万居民 1.85 名)。新墨西哥州的 RDI 最低(0.013 gRDI、0.015 mRDI、0.018 iRDI),该州共有 32 名眼科肿瘤专家,人口为 2,114,371 人。眼部肿瘤发病率介于 1.32% 和 5.40% 之间,与 RSV 显著相关。单州 gRDI 与农村地区相关,与城市地区(≥50,000 人)呈负相关。单州眼科医生密度与城市地区居民百分比和视力筛查率呈正相关,与农村地区呈负相关:这项研究揭示了全美眼科肿瘤医生和RDI地理分布的显著异质性,凸显了潜在的供不应求情况。这可能会为在有需要的地区增加眼肿瘤内科医生和外科医生的工作提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geographic Patterns of Ocular Oncologist Supply and Patient Demand for Uveal Melanoma Treatment in the United States: A Supply and Demand Analysis.

Purpose: To study geographic patterns of supply and demand for uveal melanoma and other ocular oncology healthcare by ocular oncology physicians in the United States.

Methods: Google search interest data was obtained through trends.google.com. The combined-state density of ocular oncology physicians was calculated by dividing the number of practicing ocular oncologists in each state and its surrounding states by the state population. Relative search volume (RSV) values were divided by ocular oncology physician density to calculate the Google relative demand index (gRDI) for each state. Medicare (mRDI) and IRIS® Registry (iRDI) relative demand indices were calculated using prevalence data obtained through the Vision and Eye Health Surveillance System (VEHSS). Data from the US Census Bureau and Centers for Disease Control (CDC) databases were also utilized to analyze associations with poverty rates, percent living in urban or rural areas, vision screening rates, and ocular neoplasm rates.

Results: Alabama showed the highest RSV (100), while the lowest was reported in New Mexico (20). Vermont had the highest density of combined-state ocular oncology ophthalmologists (1.85 per 100,000 residents). New Mexico had the lowest RDI (0.013 gRDI, 0.015 mRDI, 0.018 iRDI) with 32 combined-state ocular oncologists and a population of 2,114,371. Ocular neoplasm prevalence rates ranged between 1.32% and 5.40% and significantly correlated with RSV. Single-state gRDI correlated with rural status and negatively correlated with urban areas (≥50,000 individuals). Single-state ophthalmologist density correlated positively with percent living in urban areas and vision screening rates, and negatively with rural status.

Conclusion: This study uncovered significant heterogeneity in the geographical distribution of ocular oncology physicians and RDI throughout the United States, highlighting potential undersupply scenarios. This may guide efforts to increase ocular oncology physician and surgeon availability in areas of need.

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