Cornelius Sarah L, Schaefer Andrew, Tosteson Anna N A, O'Malley Alistair James, Wong Sandra L, Moen Erika L
Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH.
The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH.
Med Care. 2025 Jan 1;63(1):62-69. doi: 10.1097/MLR.0000000000002080. Epub 2024 Oct 30.
Physician turnover rates are rising in the United States. The cancer workforce, which relies heavily on clinical teamwork and care coordination, may be more greatly impacted by turnover. In this study, we aimed to characterize oncologists who move to identify targets for recruitment and retention efforts.
We identified medical, radiation, and surgical oncologists who treated Medicare beneficiaries diagnosed with breast, colorectal, or lung cancer in 2016-2019. We used multivariable logistic regression to identify physician-level and multivariable multinomial regression to identify region-level characteristics associated with turnover. Measures included demographic, practice, and patient-sharing network characteristics.
Our cohort included 25,012 medical, radiation, and surgical oncologists, of which, 1448 (5.8%) moved. Women [vs men; odds ratio (OR): 1.46; 95% CI: 1.30-1.64] and surgeons (vs medical oncologists; OR: 1.17; 95% CI; 1.04-1.33) had higher odds of moving. Compared with oncologists with moderate patient-sharing ties, those with many ties had lower odds of moving (OR: 0.55; 95% CI: 0.43-0.70). Patient-sharing networks with low efficiency (vs moderate) were more likely to have a net loss in their oncology workforce (OR: 3.06; 95% CI: 1.12-8.35), whereas those with low specialist vulnerability (vs moderate) were less likely to have a net loss (OR: 0.32; 95% CI: 0.1-0.99).
This study identified novel patient-sharing network characteristics associated with turnover, providing new insights into how the structural features of patient-sharing networks may be related to the recruitment and retention of oncologists.
美国医生的离职率正在上升。严重依赖临床团队合作和护理协调的癌症医疗队伍可能会受到离职的更大影响。在本研究中,我们旨在对离职的肿瘤学家进行特征描述,以确定招募和留用工作的目标。
我们确定了在2016 - 2019年期间治疗诊断为乳腺癌、结直肠癌或肺癌的医疗保险受益人的医学、放射和外科肿瘤学家。我们使用多变量逻辑回归来确定医生层面的特征,并使用多变量多项回归来确定与离职相关的地区层面特征。测量指标包括人口统计学、执业情况和患者共享网络特征。
我们的队列包括25,012名医学、放射和外科肿瘤学家,其中1448名(5.8%)离职。女性(与男性相比;优势比[OR]:1.46;95%置信区间[CI]:1.30 - 1.64)和外科医生(与医学肿瘤学家相比;OR:1.17;95% CI:1.04 - 1.33)离职的可能性更高。与患者共享关系中等的肿瘤学家相比,关系较多的肿瘤学家离职的可能性较低(OR:0.55;95% CI:0.43 - 0.70)。效率低(与中等效率相比)的患者共享网络其肿瘤医疗队伍更有可能出现净流失(OR:3.06;95% CI:1.12 - 8.35),而专科医生脆弱性低(与中等相比)的网络出现净流失的可能性较小(OR:0.32;95% CI:0.1 - 0.99)。
本研究确定了与离职相关的新的患者共享网络特征,为患者共享网络的结构特征如何与肿瘤学家的招募和留用相关提供了新的见解。