Department of Orthopaedic Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA.
John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, USA.
Clin Orthop Relat Res. 2024 Aug 1;482(8):1341-1347. doi: 10.1097/CORR.0000000000003068. Epub 2024 Apr 11.
Educational debt is commonly observed among applicants to orthopaedic surgery residency programs; however, an understanding of the debt burden among minority and nonminority applicants is not well established. Thus, this study aimed to fill these knowledge gaps by examining the extent of and factors shaping educational debt among orthopaedic surgery applicants.
QUESTIONS/PURPOSES: (1) What is the educational debt burden among orthopaedic surgery residency applicants? (2) After controlling for relevant confounding variables, what factors are independently associated with increasing levels of educational debt? (3) After controlling for relevant confounding variables, are individuals classified as an underrepresented minority or those with educational debt and socioeconomic disadvantage less likely to match in orthopaedic surgery?
A retrospective evaluation of orthopaedic surgery residency application data from the American Association of Medical Colleges was analyzed from 2011 to 2021. The American Association of Medical Colleges database was selected because every residency applicant must register and apply through the American Association of Medical Colleges. Therefore, these data exist for every residency applicant, and the sample was comprehensive. Self-reported data including premedical, medical, and total educational debt burden as well as classification as socioeconomically disadvantaged and application fee waiver use were collected. Applicants were dichotomously categorized as an underrepresented minority or a not underrepresented minority based upon self-identified race and ethnicity. Monetary values were reported in USD and inflation-adjusted to 2021 using the Consumer Price Index. We performed t-tests and chi-square tests for continuous and categorical variables, respectively. Significance was considered at p < 0.05. In all, 12,112 applicants were available in the initial cohort, and 67% (8170 of 12,112) of applicants with complete data were included from 2011 to 2021 in the final study cohort. Of these, 18% (1510 of 8170) were women, 14% (1114 of 8170) were classified as underrepresented minorities, and 8% (643 of 8170) were classified as socioeconomically disadvantaged. Sixty-one percent (4969 of 8170) of applicants reported receiving at least one scholarship, 34% (2746 of 8170) had premedical school debt, and 72% (5909 of 8170) had any educational debt including medical school. Among all applicants, the median (IQR) educational debt was USD 197,000 (25,000 to 288,000). Among those with scholarships, the median amount was USD 25,000 (9000 to 86,000).
After controlling for the potentially confounding variables of gender and socioeconomic disadvantage, classification as an underrepresented minority applicant was independently associated with higher scholarship amounts than applicants characterized as not underrepresented minorities (β = USD 20,908 [95% confidence interval (CI) 15,395 to 26,422]; p < 0.001), whereas underrepresented minority classification was not independently associated with a difference in total educational debt (β = USD 3719 [95% CI -6458 to 13,895]; p = 0.47). After controlling for the potentially confounding variables of gender and classification as an underrepresented minority, socioeconomic disadvantage was independently associated with higher scholarship amounts (β = USD 20,341 [95% CI 13,300 to 27,382]; p < 0.001) and higher total educational debt (β = USD 66,162 [95% CI 53,318 to 79,006]; p < 0.001) than applicants not classified as socioeconomically disadvantaged. After controlling for the potentially confounding variables of gender and classification as an underrepresented minority, socioeconomic disadvantage was independently associated with decreased match rates (OR 0.62 [95% CI 0.52 to 0.74]; p < 0.001).
These findings underscore the need for comprehensive scholarship initiatives to ensure equitable financial accessibility for applicants from all backgrounds.
In the future, orthopaedic surgery may benefit from research comparing the effectiveness of various initiatives aiming to improve fairness in the burden of debt among applicants to orthopaedic surgery residency programs.
在申请骨科住院医师项目的人中,教育债务很常见;然而,对于少数族裔和非少数族裔申请人的债务负担的了解并不完善。因此,本研究旨在通过检查骨科住院医师申请人的教育债务程度和影响因素来填补这些知识空白。
问题/目的:(1)骨科住院医师申请人的教育债务负担是多少?(2)在控制相关混杂变量后,哪些因素与教育债务水平的增加独立相关?(3)在控制相关混杂变量后,是否将个体归类为代表性不足的少数群体或有教育债务和社会经济劣势的个体更不可能在骨科手术中匹配?
对 2011 年至 2021 年美国医学协会骨科住院医师申请数据进行回顾性评估。选择美国医学协会数据库是因为每个住院医师申请人都必须通过美国医学协会注册和申请。因此,这些数据适用于每个住院医师申请人,样本是全面的。收集了自我报告的数据,包括前医疗、医疗和总教育债务负担,以及社会经济劣势和申请费豁免的使用情况。根据自我认定的种族和族裔,申请人被分为代表性不足的少数群体或非代表性不足的少数群体。货币价值以美元报告,并使用消费者价格指数(Consumer Price Index)进行通胀调整,换算至 2021 年。我们分别使用 t 检验和卡方检验对连续变量和分类变量进行了分析。p<0.05 被认为具有统计学意义。在最初的队列中,共有 12112 名申请人,在 2011 年至 2021 年的最终研究队列中,有 67%(8170 名/12112 名)的申请人完成了完整数据。其中,18%(1510 名/8170 名)为女性,14%(1114 名/8170 名)被归类为代表性不足的少数群体,8%(643 名/8170 名)被归类为社会经济劣势。61%(4969 名/8170 名)的申请人报告至少获得了一项奖学金,34%(2746 名/8170 名)有前医学院债务,72%(5909 名/8170 名)有任何教育债务,包括医学院债务。在所有申请人中,教育债务中位数(IQR)为 197000 美元(25000 美元至 288000 美元)。在获得奖学金的申请人中,中位数金额为 25000 美元(9000 美元至 86000 美元)。
在控制性别和社会经济劣势等潜在混杂变量后,被归类为代表性不足的少数群体申请人的奖学金金额高于被归类为非代表性不足的少数群体申请人(β=20908 美元[95%置信区间(CI)15395 美元至 26422 美元];p<0.001),而代表性不足的少数群体分类与总教育债务无差异(β=-3719 美元[95%CI-6458 美元至 13895 美元];p=0.47)。在控制性别和代表性不足的少数群体分类等潜在混杂变量后,社会经济劣势与较高的奖学金金额(β=20341 美元[95%CI 13300 美元至 27382 美元];p<0.001)和较高的总教育债务(β=66162 美元[95%CI 53318 美元至 79006 美元];p<0.001)独立相关,而不是被归类为社会经济劣势的申请人。在控制性别和代表性不足的少数群体分类等潜在混杂变量后,社会经济劣势与较低的匹配率独立相关(OR 0.62[95%CI 0.52 至 0.74];p<0.001)。
这些发现强调了需要全面的奖学金计划,以确保所有背景的申请人都能公平地获得经济援助。
在未来,骨科手术可能会受益于研究比较旨在改善骨科住院医师项目申请人债务负担公平性的各种举措的有效性。