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      Rural-Urban Differences in Breast Cancer Surgical Delays in Medicare Beneficiaries

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          Abstract

          Background

          Delays between breast cancer diagnosis and surgery are associated with worsened survival. Delays are more common in urban-residing patients, although factors specific to surgical delays among rural and urban patients are not well understood.

          Methods

          We used a 100% sample of fee-for-service Medicare claims during 2007–2014 to identify 238,491 women diagnosed with early-stage breast cancer undergoing initial surgery and assessed whether they experienced biopsy-to-surgery intervals > 90 days. We employed multilevel regression to identify associations between delays and patient, regional, and surgeon characteristics, both in combined analyses and stratified by rurality of patient residence.

          Results

          Delays were more prevalent among urban patients (2.5%) than rural patients (1.9%). Rural patients with medium- or high-volume surgeons had lower odds of delay than patients with low-volume surgeons (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.58–0.88; OR = 0.74, 95% CI = 0.61–0.90). Rural patients whose surgeon operated at ≥ 3 hospitals were more likely to experience delays (OR = 1.29, 95% CI = 1.01–1.64, Ref: 1 hospital). Patient driving times ≥ 1 h were associated with delays among urban patients only. Age, black race, Hispanic ethnicity, multimorbidity, and academic/specialty hospital status were associated with delays.

          Conclusions

          Sociodemographic, geographic, surgeon, and facility factors have distinct associations with > 90-day delays to initial breast cancer surgery. Interventions to improve timeliness of breast cancer surgery may have disparate impacts on vulnerable populations by rural-urban status.

          Supplementary Information

          The online version contains supplementary material available at 10.1245/s10434-022-11834-4.

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          Most cited references45

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          Cancer statistics, 2020

          Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States and compiles the most recent data on population-based cancer occurrence. Incidence data (through 2016) were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data (through 2017) were collected by the National Center for Health Statistics. In 2020, 1,806,590 new cancer cases and 606,520 cancer deaths are projected to occur in the United States. The cancer death rate rose until 1991, then fell continuously through 2017, resulting in an overall decline of 29% that translates into an estimated 2.9 million fewer cancer deaths than would have occurred if peak rates had persisted. This progress is driven by long-term declines in death rates for the 4 leading cancers (lung, colorectal, breast, prostate); however, over the past decade (2008-2017), reductions slowed for female breast and colorectal cancers, and halted for prostate cancer. In contrast, declines accelerated for lung cancer, from 3% annually during 2008 through 2013 to 5% during 2013 through 2017 in men and from 2% to almost 4% in women, spurring the largest ever single-year drop in overall cancer mortality of 2.2% from 2016 to 2017. Yet lung cancer still caused more deaths in 2017 than breast, prostate, colorectal, and brain cancers combined. Recent mortality declines were also dramatic for melanoma of the skin in the wake of US Food and Drug Administration approval of new therapies for metastatic disease, escalating to 7% annually during 2013 through 2017 from 1% during 2006 through 2010 in men and women aged 50 to 64 years and from 2% to 3% in those aged 20 to 49 years; annual declines of 5% to 6% in individuals aged 65 years and older are particularly striking because rates in this age group were increasing prior to 2013. It is also notable that long-term rapid increases in liver cancer mortality have attenuated in women and stabilized in men. In summary, slowing momentum for some cancers amenable to early detection is juxtaposed with notable gains for other common cancers.
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            Differences in breast cancer stage at diagnosis and cancer-specific survival by race and ethnicity in the United States.

            Women with early-stage breast cancers are expected to have excellent survival rates. It is important to identify factors that predict diagnosis of early-stage breast cancers.
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              Time to Surgery and Breast Cancer Survival in the United States.

              Time to surgery (TTS) is of concern to patients and clinicians, but controversy surrounds its effect on breast cancer survival. There remains little national data evaluating the association.
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                Author and article information

                Contributors
                Erika.L.Moen@Dartmouth.edu
                Journal
                Ann Surg Oncol
                Ann Surg Oncol
                Annals of Surgical Oncology
                Springer International Publishing (Cham )
                1068-9265
                1534-4681
                24 May 2022
                24 May 2022
                : 1-11
                Affiliations
                [1 ]GRID grid.254880.3, ISNI 0000 0001 2179 2404, Department of Biomedical Data Science, , Geisel School of Medicine at Dartmouth, ; Lebanon, NH USA
                [2 ]GRID grid.414049.c, ISNI 0000 0004 7648 6828, The Dartmouth Institute for Health Policy and Clinical Practice, ; Lebanon, NH USA
                [3 ]GRID grid.64337.35, ISNI 0000 0001 0662 7451, Department of Geography and Anthropology, , Louisiana State University, ; Baton Rouge, LA USA
                [4 ]GRID grid.254880.3, ISNI 0000 0001 2179 2404, Department of Surgery, , Geisel School of Medicine at Dartmouth, ; Lebanon, NH USA
                [5 ]GRID grid.413480.a, ISNI 0000 0004 0440 749X, Dartmouth Cancer Center, , Dartmouth-Hitchcock Medical Center, ; Lebanon, NH USA
                [6 ]GRID grid.254880.3, ISNI 0000 0001 2179 2404, Department of Medicine, , Geisel School of Medicine at Dartmouth, ; Lebanon, NH USA
                [7 ]GRID grid.223827.e, ISNI 0000 0001 2193 0096, Huntsman Cancer Institute, , University of Utah, ; Salt Lake City, UT USA
                [8 ]GRID grid.223827.e, ISNI 0000 0001 2193 0096, Department of Population Sciences, , University of Utah, ; Salt Lake City, UT USA
                [9 ]GRID grid.254880.3, ISNI 0000 0001 2179 2404, Department of Epidemiology, , Geisel School of Medicine at Dartmouth, ; Lebanon, NH USA
                Article
                11834
                10.1245/s10434-022-11834-4
                9128633
                35608799
                de4cd149-4385-46a3-b858-4c042b59e02a
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 November 2021
                : 15 April 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000049, National Institute on Aging;
                Award ID: P01 AG019783
                Funded by: FundRef http://dx.doi.org/10.13039/100000057, National Institute of General Medical Sciences;
                Award ID: P20 GM104416
                Categories
                Breast Oncology

                Oncology & Radiotherapy
                Oncology & Radiotherapy

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