Improving Our Understanding of the Surgical Oncology Workforce
ABSTRACT This study characterizes the surgical oncology workforce as a baseline for future workforce projections.
Measuring the capacity of the surgical oncology workforce is difficult due to the wide variety of surgeons who contribute to surgical cancer care. We hypothesize that the bulk of surgical oncology care is provided by general surgeons.
Using Medicare claims data linked to the North Carolina Central Cancer Registry, all patients 65 years or older who had a diagnosis of incident cancer of the bladder, breast, colon/rectum, esophagus, gallbladder, kidney, liver, lung, skin (melanoma-only), ovary, pancreas, prostate, small bowel, stomach, or uterus in 2005 and who underwent an extirpative procedure for cancer were identified. The proportion of procedures performed by different types of providers was examined.
A total of 7759 patients underwent 16,734 extirpative surgical procedures. Excluding procedures for gynecologic/urologic malignancies, the proportion of procedures performed by general surgeons and surgical oncologists was 48% and 12%, respectively. Patients treated by general surgeons were more likely to be older, female, minority, and from areas of high poverty. For each tumor type, travel distances were shorter for patients treated by general surgeons than those treated by specialists.
Workforce projections must account for the significant overlap in the scope of services delivered by providers of different specialties and for the large contribution of general surgeons to cancer care. Efforts to improve the quality of cancer care need to move beyond centralization and focus on educating the surgeons who are providing the bulk of oncology care.
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ABSTRACT: The Integrated Cancer Information and Surveillance System (ICISS) facilitates population-based cancer research by developing extensive information technology systems that can link and manage large data sets. Taking an interdisciplinary 'team science' approach, ICISS has developed data, systems, and methods that allow researchers to better leverage the power of big data to improve population health.North Carolina medical journal 07/2014; 75(4):265-269.