Webster, J. Matthew

Background Health care disparities in Appalachia are well documented. However, no previous studies have examined possible differences in the utilization of breast reconstruction (BR) in Appalachia. This study aims to determine if a disparity in BR utilization exists in women from Appalachia Kentucky. Methods A retrospective, population-based cohort study was conducted from January 1, 2006, to December 31, 2015. The Kentucky Cancer Registry was queried to identify population-level data for female patients diagnosed with breast cancer and treated with mastectomy. A multivariate logistic regression model controlling for patient, disease, and treatment characteristics was constructed to predict the likelihood of BR. Results Bivariate testing showed differences (P < 0.0001) in BR utilization between Appalachian and non-Appalachian women in Kentucky (15.0% and 26.3%, respectively). Multivariate analysis showed that women from Appalachia (odds ratio, 0.54; confidence interval (95), 0.48–0.61; P < 0.0001) were less likely to undergo BR than non-Appalachian women. Interestingly, the rate of BR increased over time in both Appalachian (r = 0.115; P < 0.0001) and non-Appalachian women (r = 0.148; P < 0.0001). Conclusions Despite the benefits of BR, women from Appalachia undergo BR at lower rates and are less likely to receive BR than non-Appalachian Kentuckians. Although the rates of BR increased over time in both populations, access to comprehensive breast cancer care remains a challenge for women from Kentucky's Appalachian region.

AbstractBackgroundBreast reconstruction (BR) is the reconstructive surgical technique that focuses on restoring normal form and function to the breast following oncologic resection. The goal of this study was to determine if BR disparities exist among rural female patients in Kentucky.MethodsA retrospective (2006‐2015), population‐based cohort study was conducted on breast cancer patients (stages I‐III) treated with mastectomy with or without BR. We used 2013 Beale codes to stratify patients according to geographic status. Chi‐square tests were used to examine the association of BR along the rural‐urban continuum. A multivariate logistic regression model controlling for patient, disease, and treatment factors was used to predict BR. The likelihood of BR was reported in odds ratios (OR) using a 95% confidence interval (CI).ResultsOverall, 10,032 patients met study criteria. Of those, 2,159 (21.5%) underwent BR. The rate of BR among urban, near‐metro, and rural patients was 31.1%, 20.4%, and 13.4%, respectively (P < .001). Multivariate analysis revealed that women from near metro (OR 0.54, CI: 0.47‐0.61; P < .001) and rural areas (OR 0.36, CI: 0.31‐0.41; P < .001) were less likely to undergo BR than women from urban areas.ConclusionAlthough BR benefits are well documented, women from rural Kentucky undergo BR at lower rates and are less likely to receive BR than their urban counterparts. Efforts should seek to promote equitable access to BR for all patients, including those from rural areas.