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J Surg Oncol ; 130(2): 210-221, 2024 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-38941173

RESUMO

BACKGROUND: Little is known about disparities in oncoplastic breast surgery delivery. METHODS: The Massachusetts All-Payer Claims Database was queried for patients who received lumpectomy for a diagnosis of breast cancer. Oncoplastic surgery was defined as adjacent tissue transfer, complex trunk repair, reduction mammoplasty, mastopexy, flap-based reconstruction, prosthesis insertion, or unspecified breast reconstruction after lumpectomy. RESULTS: We identified 18 748 patients who underwent lumpectomy between 2016 and 2020. Among those, 3140 patients underwent immediate oncoplastic surgery and 436 patients underwent delayed oncoplastic surgery. Eighty-one percent of patients who underwent oncoplastic surgery did so in the same county as they underwent a lumpectomy. However, the relative frequency of oncoplastic surgery varied significantly among counties. In multivariable regression, public insurance status (odds ratio: 0.87, 95% confidence interval: 0.80-0.95, p = 0.002) was associated with lower odds of undergoing oncoplastic surgery, even after adjusting for macromastia, other comorbidities, and county of lumpectomy. Average payments for lumpectomy with oncoplastic surgery were more than twice as high from private insurers ($840 vs. $1942, p < 0.001). CONCLUSION: Disparities in the receipt of oncoplastic surgery were related to differences in local practice patterns and the type of insurance patients held. Expanding services across counties and considering billing reform may help reduce these disparities.


Assuntos
Neoplasias da Mama , Disparidades em Assistência à Saúde , Mamoplastia , Mastectomia Segmentar , Humanos , Feminino , Neoplasias da Mama/cirurgia , Neoplasias da Mama/economia , Pessoa de Meia-Idade , Mastectomia Segmentar/estatística & dados numéricos , Mastectomia Segmentar/economia , Mamoplastia/economia , Mamoplastia/estatística & dados numéricos , Mamoplastia/métodos , Disparidades em Assistência à Saúde/estatística & dados numéricos , Massachusetts , Estados Unidos , Idoso , Adulto , Seguro Saúde , Padrões de Prática Médica/estatística & dados numéricos , Padrões de Prática Médica/economia , Seguimentos , Prognóstico
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