The Impact of County-Level Radiation Oncologist Density on Prostate Cancer Mortality in the United States

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The Impact of County-Level Radiation Oncologist Density on Prostate Cancer Mortality in the United States Prostate Cancer and Prostatic Diseases (2012) 15, 391 -- 396 & 2012 Macmillan Publishers Limited All rights reserved 1365-7852/12 www.nature.com/pcan ORIGINAL ARTICLE The impact of county-level radiation oncologist density on prostate cancer mortality in the United States S Aneja1 and JB Yu1,2,3 BACKGROUND: The distribution of radiation oncologists across the United States varies significantly among geographic regions. Accompanying these variations exist geographic variations in prostate cancer mortality. Prostate cancer outcomes have been linked to variations in urologist density, however, the impact of geographic variation in the radiation oncologist workforce and prostate cancer mortality has yet to be investigated. The goal of this study was to determine the effect of increasing radiation oncologist density on regional prostate cancer mortality. METHODS: Using county-level prostate cancer mortality data from the National Cancer Institute and Centers for Disease Control as well as physician workforce and health system data from the Area Resource File a regression model was built for prostate cancer mortality controlling for categorized radiation oncologist density, urologist density, county socioeconomic factors and pre-existing health system infrastructure. RESULTS: There was statistically significant reduction in prostate cancer mortality (3.91--5.45% reduction in mortality) in counties with at least 1 radiation oncologist compared with counties lacking radiation oncologists. However, increasing the density of radiation oncologists beyond 1 per 100 000 residents did not yield statistically significant incremental reductions in prostate cancer mortality. CONCLUSIONS: The presence of at least one radiation oncologist is associated with significant reductions in prostate cancer mortality within that county. However, the incremental benefit of increasing radiation oncologist density exhibits a plateau effect providing marginal benefit. In order to optimize outcomes a geographically aware policy, which addresses the size and distribution of the workforce, must be in place in order prevent geographic disparities in prostate cancer mortality. Prostate Cancer and Prostatic Diseases (2012) 15, 391--396; doi:10.1038/pcan.2012.28; published online 24 July 2012 Keywords: access to care; physician workforce; radiation oncologist density INTRODUCTION cancer, the association between the availability of radiation As the demand for cancer care increases, equitable access to oncologists and prostate cancer mortality merits exploration. oncology services is critical to improving cancer mortality and Furthermore, the relative impact of the distribution of radiation optimizing outcomes. Though evidence indicates that prostate oncologists, urologists and primary care providers on prostate cancer mortality has been improving in recent years, the benefit cancer mortality is unknown. from modern cancer treatment may not be uniform throughout It is likely that the geographic distribution of radiation the United States.1,2 Furthermore, given the aging US population, oncologists is important to the receipt of cancer treatment, the incidence of prostate cancer is expected to increase particularly for those patients who are not candidates for surgery. dramatically over the next 20 years. Whether the current physician Alternatively, patients who are surgical candidates, but refuse workforce is adequately and equitably distributed, to meet and surgery, may choose radiation therapy as an alternative curative optimize the growing demand for cancer care, is an important treatment if a radiation oncologist is geographically accessible. area of ongoing study.3--6 External beam radiotherapy, the dominant form of radiation Several types of providers are involved in the diagnosis and treatment in the United States, typically requires multiple daily treatment of prostate cancer. Primary care providers and radiation treatments for 6--9 weeks, making the geographic urologists are typically involved in initial diagnosis, whereas distribution of radiation oncologists more important, particularly urologists, medical oncologists and radiation oncologists could for patients with limited mobility and resources for travel. Recent all potentially be involved in the primary treatment of prostate evidence has found a geographic maldistribution of the radiation cancer. It is well known that access to primary care is an oncology workforce throughout the United States, with radiation important predictor of cancer-specific mortality.7 Therefore, oncologists clustering in metropolitan locations.6 As it is known some argue that increasing the number of primary care that travel time to the nearest cancer center varies significantly physicians, rather than specialists, is the most efficient way to throughout the country, inequities in geographic access may be improve health outcomes for the entire US population.8 associated with variations in cancer mortality.9 We initiated this However, growing evidence suggests that for prostate cancer, study to elucidate whether the density of radiation oncologists specialist density does impact outcomes.5 As radiation oncolo- within in a county was related to variations in prostate cancer gists also serve as primary treatment providers for prostate mortality. 1Yale School of Medicine Department of Therapeutic Radiology, New Haven, CT, USA; 2Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center at Yale, New Haven, CT, USA and 3Yale Cancer Center, New Haven, CT, USA. Correspondence: Dr JB Yu, Yale School of Medicine Department of Therapeutic Radiology, 333 Cedar Street New Haven, CT 06515, USA. E-mail: [email protected] Received 28 March 2012; revised 17 May 2012; accepted 10 June 2012; published online 24 July 2012 Radiation oncologist density and prostate cancer mortality S Aneja and JB Yu 392 MATERIALS AND METHODS Statistical analysis Data sources A model was built with prostate cancer mortality per 100 000 people as the The geographic units of analysis in this study were the 3141 counties in the primary outcome variable. In an effort to better examine if incremental United States as defined by the 2000 Census. Similar to previous studies changes in physician density accompany changes in prostate cancer investigating the impact of physician density on cancer-related mortality, mortality, radiation oncologist and urologist densities were categorized rural counties were excluded from the analysis because only 0.4% of the (0, 0.1--1.0, 1.1--2, 2.1--4.0, 44.0 per 100 000 people). Different radiation 669 rural counties in the United States possessed radiation oncologists and oncologist density categories were mapped using the mapping software many of them lacked complete mortality data.4,10 Following exclusion of ArcGIS version 9.2 (Environmental Systems Research Institute, Inc., rural counties, 2472 non-rural counties composing B78.7% of the United Redlands, CA, USA). Univariate associations between physician workforce, States possessed complete mortality data and were available for analysis. health system and socioeconomic predictor variables and cancer mortality Counties were classified as rural based on 2003 Department of Agriculture were calculated using t-tests for categorical variables and linear regression Rural/Urban Continuum Codes. Physician data were obtained using the for continuous variables. Multivariate regression models were built using 2008 Area Resource File.11 Published by the Health Resources and Services backward stepwise selection with a univariate Po0.15 for inclusion into Administration of the US Department of Health and Human Services, the the models. Allergist--immunologist density was manually inserted into the ARF is a collection of data from over 50 sources, including the American final model to control for changes in cancer mortality that could potentially Medical Association, American Hospitalization Association, US Census, and be attributed to a high overall specialist density. Statistically insignificant National Center for US Health Statistics. The ARF aggregates information allergist--immunologist density in the final model would suggest changes concerning healthcare professionals, healthcare facilities and population in cancer mortality were likely unattributed to high overall specialist for each county in the United States, and includes the number of density. To account for potential geographic variations in prostate cancer specialists within each county based on data from the American Medical screening, prostate cancer incidence among counties in the United States Association Physician Masterfile. In addition to physician data, geographic, was also included in the model. Statistical significance for the final models health system and demographic data for each county were collected from was determined at Po0.05. Variance inflation factors were used to control the ARF in effort to account for ecological characteristics that could for excessive collinearity amongst variables. Percent changes in mortality potentially influence cancer outcomes. Prostate cancer mortality and were calculated for each density category using the cancer mortality incidence data were obtained from a merged data set from the National of a reference group. The reference group in all three models was a Cancer Institute’s Surveillance, Epidemiology and End Results program, county with no radiation oncologists, urologists or allergists. To evaluate National Program for Cancer Registries and United States Center for incremental benefits
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