Defining the Supply of Radiation Oncologists in the United States: An American Society for Radiation Oncology Workforce Report.

IF 6.5 1区 医学 Q1 ONCOLOGY
Michael Weisman, James E Bates, J Isabelle Choi, Pranshu Mohindra, Mudit Chowdhary, Joseph Salama, John Shumway, Andrew Hoover, Zhong Su, Austin J Sim, Chirag Shah
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Abstract

An accurate accounting of the current number of practicing radiation oncologists (ROs) is critical to the complete understanding of the workforce dynamics of the field. At present, there is no clear standard on how to assess this, with multiple approaches available. Therefore, the American Society for Radiation Oncology (ASTRO) Workforce Committee reviewed and evaluated multiple approaches in assessing the radiation oncology (RO) workforce supply, including the pros and cons of each approach, while comparing supply estimates in order to define a recommended standard for assessing the RO workforce supply in the United States. Most methods use data from the Centers for Medicare & Medicaid Services (CMS), the American Medical Association, and/or the American Association of Medical Colleges. The ASTRO-sponsored Health Management Associates Workforce Analysis and the American Society of Clinical Oncology (ASCO) approach used multiple data sources, with the ASCO approach including the American Medical Association and CMS data sources. Limitations of each approach are reflective of the data sources used and include an inability to capture all physicians, a lack of routine updating, and/or a lag-time in incorporating entrants to and exits from the workforce. Overall, the assessments across methods demonstrated substantial consistency in results (range of maximum difference, 2.2%-5.0%; mean, 3.0%), with unfiltered data sets consistently reporting higher estimates, likely due to inclusion of ROs not actively practicing. For example, in 2023, filtered estimates ranged from 4935 (ASCO) to 5072 (American Association of Medical Colleges), whereas in 2024, the estimates ranged from 4992 (ASCO) to 5103 (CMS) ROs. Using the ASCO model, we estimate a total of 5100 ROs in 2024, accounting for Veterans Affairs and pediatric-only ROs, understanding this may not account for nonclinical ROs. Additionally, these methods capture "head counts" of the number of ROs, but not their clinical capacity. After reviewing the various approaches, the ASTRO Workforce Committee recommends applying a similar methodology to that in use by ASCO for RO workforce supply assessments. This would allow subsequent workforce models to be compared with a consistent methodology to prevent erroneous conclusions when comparing across methodologies.

定义美国放射肿瘤学家的供应:ASTRO劳动力报告。
准确计算当前执业放射肿瘤学家(ROs)的数量对于完全理解该领域的劳动力动态至关重要。目前,对于如何使用多种可用的方法进行评估,尚无明确的标准。因此,ASTRO劳动力委员会审查和评估了评估放射肿瘤学劳动力供应的多种方法,包括每种方法的优缺点,同时比较了供应估计,以便确定评估美国RO劳动力供应的推荐标准。大多数方法利用来自医疗保险和医疗补助服务中心(CMS)、美国医学协会(AMA)和/或美国医学院协会(AAMC)的数据。ASTRO赞助的HMA劳动力分析和美国临床肿瘤学会(ASCO)方法利用了多个数据源,ASCO方法包括AMA和CMS数据源。每种方法的局限性反映了所使用的数据源,包括无法捕获所有医生,缺乏常规更新,和/或在纳入劳动力的新入和退出方面存在滞后。总体而言,各种方法的评估结果显示出实质性的一致性(最大差异范围为2.2-5.0%,平均值为3.0%),未经过滤的数据集始终报告较高的估估值,可能是由于纳入了不积极练习的ro。例如,在2023年,过滤后的估计范围从4935 (ASCO)到5072 (AAMC),而在2024年,估计范围从4992 (ASCO)到5103 (CMS)。使用ASCO模型,我们估计2024年总共有5100个ROs,包括VA和儿科ROs,理解这可能不包括非临床ROs。此外,这些方法捕获了放射肿瘤学家数量的“头数”,但不是他们的临床能力。在审查了各种方法后,ASTRO劳动力委员会建议采用与ASCO用于RO供应评估的方法类似的方法。这将允许随后的劳动力模型与一致的方法进行比较,以防止在比较方法时得出错误的结论。
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来源期刊
CiteScore
11.00
自引率
7.10%
发文量
2538
审稿时长
6.6 weeks
期刊介绍: International Journal of Radiation Oncology • Biology • Physics (IJROBP), known in the field as the Red Journal, publishes original laboratory and clinical investigations related to radiation oncology, radiation biology, medical physics, and both education and health policy as it relates to the field. This journal has a particular interest in original contributions of the following types: prospective clinical trials, outcomes research, and large database interrogation. In addition, it seeks reports of high-impact innovations in single or combined modality treatment, tumor sensitization, normal tissue protection (including both precision avoidance and pharmacologic means), brachytherapy, particle irradiation, and cancer imaging. Technical advances related to dosimetry and conformal radiation treatment planning are of interest, as are basic science studies investigating tumor physiology and the molecular biology underlying cancer and normal tissue radiation response.
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