Department of Urology, University of California, San Francisco, San Francisco, CA 94143-1695, USA.
J Clin Oncol. 2010 May 20;28(15):2499-504. doi: 10.1200/JCO.2009.26.9597. Epub 2010 Apr 20.
The surgical work force distribution at the county level varies widely across the United States, and the impact of differential access on cancer outcomes is unclear. We used urologists as a test case because they are the first care providers for urologic cancers, can easily be identified from available data sources, and are unevenly distributed throughout the country. The goal of this study was to determine the effect of increasing urologist density on local prostate, bladder, and kidney cancer mortality.
Using county-level data from the Area Resource File, US Census, National Cancer Institute, and Centers for Disease Control, regression models were built for prostate, bladder, and kidney cancer mortality, controlling for categorized urologist density, county demographics, socioeconomic factors, and preexisting health care infrastructure.
For each of the three cancers, there was a statistically significant cancer-specific mortality reduction associated with counties that had more than zero urologists (16% to 22% reduction for prostate cancer, 17% to 20% reduction for bladder cancer, and 8% to 14% reduction for kidney cancer with increasing urologist density) relative to zero urologists. However, increasing density greater than two urologists per 100,000 people had no statistically significant impact on mortality for any of the tumors studied.
The presence of a urologist is associated with lower mortality for urologic cancers in that county, but increasing urologist density does not yield further improvements. Therefore, a nuanced and geographically aware policy toward the size and distribution of the future work force is most likely to provide the greatest population-level improvement in cancer mortality outcomes.
美国县级的外科医生劳动力分布差异很大,不同的获得途径对癌症结果的影响尚不清楚。我们选择泌尿科医生作为测试病例,因为他们是治疗泌尿系统癌症的第一线医疗服务提供者,可通过现有数据源轻松识别,且在全国范围内分布不均。本研究的目的是确定增加泌尿科医生密度对当地前列腺癌、膀胱癌和肾癌死亡率的影响。
利用来自地区资源档案、美国人口普查、美国国家癌症研究所和疾病控制中心的县级数据,构建了前列腺癌、膀胱癌和肾癌死亡率的回归模型,模型控制了分类泌尿科医生密度、县人口统计学、社会经济因素和现有医疗保健基础设施。
对于这三种癌症,与没有泌尿科医生的县相比,泌尿科医生人数超过零的县具有统计学意义的癌症特异性死亡率降低(前列腺癌降低 16%至 22%,膀胱癌降低 17%至 20%,肾癌降低 8%至 14%,随着泌尿科医生密度的增加)。然而,泌尿科医生密度增加超过每 10 万人 2 名,对研究的任何肿瘤的死亡率均无统计学意义的影响。
泌尿科医生的存在与该县泌尿系统癌症的死亡率降低相关,但增加泌尿科医生的密度并不能进一步提高死亡率。因此,针对未来劳动力的规模和分布,制定细致入微且具有地域意识的政策,最有可能提高癌症死亡率的总体人群水平。