Current Trends in Autologous Breast Reconstruction and the Implications of Impending Changes to Insurance Reimbursement.

Cureus(2023)

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摘要
Introduction In 2019, the Centers for Medicare & Medicaid Services (CMS) combined all autologous breast flap procedures under one billing code, effective from December 31, 2024. This change will result in equal insurance reimbursement rates for popular flap options, such as transverse rectus abdominis muscle (TRAM) and deep inferior epigastric perforator (DIEP) flaps, which were previously billed separately using S-codes based on complexity. Methods This study aimed to analyze insurance code changes for autologous breast reconstruction flap procedures. Data were collected from the American Society of Plastic Surgeons' annual plastic surgery statistics reports, including specific insurance codes and case volumes from 2007 to 2020. A comprehensive analysis was conducted to assess recent trends in flap utilization rates, documenting any modifications or additions to the existing codes and their implementation years. Results The study analyzed billing codes and case volumes for autologous breast reconstruction procedures, with a focus on the DIEP flap and other alternatives. Non-autologous breast reconstruction procedures showed consistently higher case volumes compared to autologous procedures from 2007 to 2020. Notably, the popularity of the DIEP flap surpassed that of other flap options after 2011. Conclusion The removal of S-codes for autologous breast reconstruction by CMS and the subsequent potential decrease in insurance coverage for the DIEP flap may lead to a decrease in its utilization and a shift toward more invasive options, like the TRAM flap. This change could result in financial burdens for patients and widen socioeconomic disparities in breast reconstruction, limiting access to preferred reconstructive methods and impacting patient autonomy and overall well-being.
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socioeconomic disparities, insurance reimbursement, s-codes, diep flap, autologous breast reconstruction
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