Demographic variations and temporal trends in the United States nephrology fellowship match: An analysis of the National Resident Matching Program from 2010 to 2024.

IF 2
Aman Goyal, Samuel L Flesner, Mah I Kan Changez, Viraj Shah, Gauranga Mahalwar, Andrei Brateanu
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引用次数: 0

Abstract

Each year, the National Resident Matching Program (NRMP) releases match outcomes data, highlighting trends, match rates, and competitiveness for each specialty. However, research on the demographics, temporal trends, and disparities among Nephrology applicants remains limited. This retrospective study analyzed data from the NRMP for Nephrology fellowships from 2016 to 2024, including applicant demographics and match outcomes. Chi-square tests were used to assess differences and temporal trends were evaluated with Mann-Kendall tests, and statistical significance was set at p < 0.05. Although the total number of training programs (p < 0.001) and fellowship positions (p < 0.001) increased from 2010 to 2024, the percentage of filled positions significantly declined from 94.1% in 2010 to 65.8% in 2024 (p = 0.047). Females were less likely to apply for Nephrology compared to other fellowships (p = 0.002) and had a lower match rate (p< 0.001). White applicants were less likely to apply for Nephrology than for other fellowships (p < 0.001). US MD graduates had a significantly higher match rate than non-US MD graduates over the study period (p < 0.001). In conclusion, despite the annual increase in Nephrology training positions, declining applicant numbers have reduced fellowship competitiveness. Males, Asians, and non-US international medical graduates comprised the majority of trainees. Addressing pay, job opportunities, and gender disparities is crucial to sustaining the future Nephrology workforce in the United States.

EXPRESS:美国肾脏病奖学金匹配的人口变化和时间趋势:2010年至2024年国家居民匹配计划的分析。
每年,国家居民匹配计划(NRMP)都会发布匹配结果数据,突出显示每个专业的趋势、匹配率和竞争力。然而,关于肾脏病申请者的人口统计、时间趋势和差异的研究仍然有限。方法回顾性分析2016年至2024年NRMP临终关怀和姑息治疗奖学金的数据,包括申请人人口统计数据和匹配结果。采用卡方检验评估差异,采用Mann-Kendall检验评估时间趋势,p为统计学显著性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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