Division of Plastic and Reconstructive Surgery, University of California Los Angeles, 200 Medical Plaza, Suite 460, Los Angeles, CA, 90095, USA.
Department of Plastic and Reconstructive Surgery, Johns Hopkins University School of Medicine, 601 North Caroline Street, Baltimore, MD, 21287, USA.
Am J Surg. 2021 Jul;222(1):173-178. doi: 10.1016/j.amjsurg.2020.11.026. Epub 2020 Nov 15.
High-volume centers improve outcomes in head and neck cancer (HNCA) reconstruction, yet it is unknown whether patients of all payer status benefit equally.
We identified patients undergoing HNCA surgery between 2002 and 2015 using the National Inpatient Sample. Outcomes included receipt of care at high-volume centers, receipt of reconstruction, and post-operative complications. Multivariate regression analysis was stratified by payer status.
37,442 patients received reconstruction out of 101,204 patients who underwent HNCA surgery (37.0%). Privately-insured and Medicaid patients had similar odds of receiving high-volume care (OR = 0.99, 95% CI = 0.87-1.11) and undergoing reconstruction (OR = 0.96, 95% CI = 0.86-1.05). Medicaid beneficiaries had higher odds of complication (OR = 1.36, 95% CI = 1.22-1.51). The discrepancy in complication odds was significant at low-volume (OR = 1.44, 95% CI = 1.12-1.84) and high-volume centers (OR = 1.30, 95% CI = 1.15-1.47).
Medicaid beneficiaries are as likely to receive care at high-volume centers and undergo reconstruction as privately-insured individuals. However, they have poorer outcomes than privately-insured individuals at both low- and high-volume centers.
大容量中心改善了头颈部癌症(HNCA)重建的结果,但尚不清楚所有支付者状态的患者是否同等受益。
我们使用国家住院患者样本,确定了 2002 年至 2015 年间接受 HNCA 手术的患者。结果包括在大容量中心接受治疗、接受重建以及术后并发症的情况。多变量回归分析按支付者状态分层。
在接受 HNCA 手术的 101204 名患者中,有 37442 名患者接受了重建(37.0%)。私人保险和医疗补助患者接受大容量治疗的可能性相似(OR=0.99,95%CI=0.87-1.11)和接受重建(OR=0.96,95%CI=0.86-1.05)。医疗补助受益人的并发症几率较高(OR=1.36,95%CI=1.22-1.51)。在低容量(OR=1.44,95%CI=1.12-1.84)和高容量中心(OR=1.30,95%CI=1.15-1.47),并发症几率的差异具有统计学意义。
医疗补助受益人与私人保险个体一样,有可能在大容量中心接受治疗并接受重建。然而,他们在低容量和高容量中心的结果都比私人保险个体差。