Brooke L. Watanabe MD, Robert A. Weston MD, Christopher R. Wyatt MD, Lawrence H. Brown PhD
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We used U.S. Census data to categorize each program's surrounding county as having lower diversity (<30% URM population), moderate diversity (≥30% to <49% URM population), or higher diversity (≥49% URM population). We used Kruskal–Wallis test with Dunn's procedure to determine whether the proportion of URM residents in a program was associated with the level of diversity in the surrounding county.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Among 247 included EM programs, 5% of residents were Black (range 0%–46% per program), 8% Hispanic (range 0%–43%), and 4% another URM race/ethnicity. The proportion of URM EM residents was significantly lower among programs in lower-diversity counties (median [IQR] 10% [6%–16%]) than among programs in moderate-diversity (median [IQR] 14% [8%–20%], <i>p</i> < 0.001) or higher-diversity (median [IQR] 15% [9%–22%], <i>p</i> < 0.001) counties. Similarly, programs in counties with higher Black populations had more Black EM residents, and programs in counties with higher Hispanic populations had more Hispanic EM residents.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>EM residents at programs in lower-diversity counties are less likely to be URM than those in moderate- or higher-diversity counties. EM programs located in less diverse communities may require unique strategies to increase resident diversity.</p>\n </section>\n </div>","PeriodicalId":37032,"journal":{"name":"AEM Education and Training","volume":"9 2","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recruiting diverse emergency medicine residents: The influence of community diversity\",\"authors\":\"Brooke L. Watanabe MD, Robert A. Weston MD, Christopher R. Wyatt MD, Lawrence H. 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We used U.S. Census data to categorize each program's surrounding county as having lower diversity (<30% URM population), moderate diversity (≥30% to <49% URM population), or higher diversity (≥49% URM population). We used Kruskal–Wallis test with Dunn's procedure to determine whether the proportion of URM residents in a program was associated with the level of diversity in the surrounding county.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Among 247 included EM programs, 5% of residents were Black (range 0%–46% per program), 8% Hispanic (range 0%–43%), and 4% another URM race/ethnicity. The proportion of URM EM residents was significantly lower among programs in lower-diversity counties (median [IQR] 10% [6%–16%]) than among programs in moderate-diversity (median [IQR] 14% [8%–20%], <i>p</i> < 0.001) or higher-diversity (median [IQR] 15% [9%–22%], <i>p</i> < 0.001) counties. Similarly, programs in counties with higher Black populations had more Black EM residents, and programs in counties with higher Hispanic populations had more Hispanic EM residents.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>EM residents at programs in lower-diversity counties are less likely to be URM than those in moderate- or higher-diversity counties. 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引用次数: 0
摘要
目前对影响急诊医学(EM)住院医师招募的因素了解有限,这些因素被认为是医学中代表性不足的种族和民族:黑人/非裔美国人、西班牙裔、美洲印第安人/阿拉斯加原住民或夏威夷原住民/太平洋岛民。本研究探讨了项目层面的新兴市场居民多样性是否与县层面的社区多样性相关。方法采用美国医学院协会2023-2024学年数据,确定各EM住院医师项目中URM住院医师的比例。我们排除了没有完整的住院医师和没有报告种族/民族数据的新项目。我们使用美国人口普查数据将每个项目的周边县分类为具有较低多样性(30% URM人口),中等多样性(≥30%至49% URM人口)或较高多样性(≥49% URM人口)。我们使用Kruskal-Wallis测试和Dunn程序来确定URM居民在项目中的比例是否与周边县的多样性水平相关。结果在247个纳入的EM项目中,5%的居民是黑人(每个项目范围为0%-46%),8%的居民是西班牙裔(范围为0%-43%),4%的居民是其他URM种族/民族。在低多样性县的项目中,URM EM居民的比例(中位数[IQR] 10%[6%-16%])显著低于中等多样性县的项目(中位数[IQR] 14% [8%-20%], p < 0.001)或高多样性县的项目(中位数[IQR] 15% [9%-22%], p < 0.001)。同样,黑人人口较多的县的项目有更多的黑人新兴市场居民,而西班牙裔人口较多的县的项目有更多的西班牙裔新兴市场居民。结论:与中等或高多样性县相比,低多样性县项目中的新兴市场居民出现URM的可能性更低。位于多样性较低的社区的新兴市场项目可能需要独特的策略来增加居民的多样性。
Recruiting diverse emergency medicine residents: The influence of community diversity
Objective
There is limited understanding of factors influencing recruitment of emergency medicine (EM) residents identifying as races and ethnicities underrepresented in medicine (URM): Black/African American, Hispanic, American Indian/Alaskan Native, or Native Hawaiian/Pacific Islander. This study explored whether diversity of EM residents at the program level is associated with community diversity at the county level.
Methods
The proportion of URM residents in each EM residency program was determined using Association of American Medical Colleges academic year 2023–2024 data. We excluded newer programs without a full complement of residents and those not reporting race/ethnicity data. We used U.S. Census data to categorize each program's surrounding county as having lower diversity (<30% URM population), moderate diversity (≥30% to <49% URM population), or higher diversity (≥49% URM population). We used Kruskal–Wallis test with Dunn's procedure to determine whether the proportion of URM residents in a program was associated with the level of diversity in the surrounding county.
Results
Among 247 included EM programs, 5% of residents were Black (range 0%–46% per program), 8% Hispanic (range 0%–43%), and 4% another URM race/ethnicity. The proportion of URM EM residents was significantly lower among programs in lower-diversity counties (median [IQR] 10% [6%–16%]) than among programs in moderate-diversity (median [IQR] 14% [8%–20%], p < 0.001) or higher-diversity (median [IQR] 15% [9%–22%], p < 0.001) counties. Similarly, programs in counties with higher Black populations had more Black EM residents, and programs in counties with higher Hispanic populations had more Hispanic EM residents.
Conclusions
EM residents at programs in lower-diversity counties are less likely to be URM than those in moderate- or higher-diversity counties. EM programs located in less diverse communities may require unique strategies to increase resident diversity.