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The Insurance Landscape for Implant- and Autologous-based Breast Reconstruction in the United States

Insurance coverage of postmastectomy breast reconstruction is mandated in America, regardless of reconstructive modality. Despite enhanced patient-reported outcomes, autologous reconstruction is utilized less than nonautologous reconstruction nationally. Lower reimbursement from Medicare and Medicai...

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Autores principales: Boyd, Louisa C., Greenfield, Jason A., Ainapurapu, Sravya S., Skladman, Rachel, Skolnick, Gary, Sundaramoorthi, Durai, Sacks, Justin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937099/
https://www.ncbi.nlm.nih.gov/pubmed/36817274
http://dx.doi.org/10.1097/GOX.0000000000004818
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author Boyd, Louisa C.
Greenfield, Jason A.
Ainapurapu, Sravya S.
Skladman, Rachel
Skolnick, Gary
Sundaramoorthi, Durai
Sacks, Justin M.
author_facet Boyd, Louisa C.
Greenfield, Jason A.
Ainapurapu, Sravya S.
Skladman, Rachel
Skolnick, Gary
Sundaramoorthi, Durai
Sacks, Justin M.
author_sort Boyd, Louisa C.
collection PubMed
description Insurance coverage of postmastectomy breast reconstruction is mandated in America, regardless of reconstructive modality. Despite enhanced patient-reported outcomes, autologous reconstruction is utilized less than nonautologous reconstruction nationally. Lower reimbursement from Medicare and Medicaid may disincentivize autologous-based reconstruction. This study examines the impact of insurance and sociodemographic factors on breast reconstruction. METHODS: A retrospective analysis of the Healthcare Cost and Utilization Project National Inpatient Sample Database from 2014 to 2017 was performed. International Classification of Diseases Clinical Modification and Procedure Coding System codes were used to identify patients for inclusion. De-identified sociodemographic and insurance data were analyzed using χ(2), least absolute shrinkage and selection operator regression analysis, and classification trees. RESULTS: In total, 31,468 patients were identified for analysis and stratified by reconstructive modality, sociodemographics, insurance, and hospital characteristics. Most patients underwent nonautologous reconstruction (63.2%). Deep inferior epigastric perforator flaps were the most common autologous modality (46.7%). Least absolute shrinkage and selection operator regression identified Black race, urban-teaching hospitals, nonsmoking status, and obesity to be associated with autologous reconstruction. Publicly-insured patients were less likely to undergo autologous reconstruction than privately-insured patients. Within autologous reconstruction, publicly-insured patients were 1.97 (P < 0.001) times as likely to obtain pedicled flaps than free flaps. Black patients were 33% (P < 0.001) less likely to obtain free flaps than White patients. CONCLUSIONS: Breast reconstruction is influenced by insurance, hospital demographics, and sociodemographic factors. Action to mitigate this health disparity should be undertaken so that surgical decision-making is solely dependent upon medical and anatomic factors.
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spelling pubmed-99370992023-02-18 The Insurance Landscape for Implant- and Autologous-based Breast Reconstruction in the United States Boyd, Louisa C. Greenfield, Jason A. Ainapurapu, Sravya S. Skladman, Rachel Skolnick, Gary Sundaramoorthi, Durai Sacks, Justin M. Plast Reconstr Surg Glob Open Breast Insurance coverage of postmastectomy breast reconstruction is mandated in America, regardless of reconstructive modality. Despite enhanced patient-reported outcomes, autologous reconstruction is utilized less than nonautologous reconstruction nationally. Lower reimbursement from Medicare and Medicaid may disincentivize autologous-based reconstruction. This study examines the impact of insurance and sociodemographic factors on breast reconstruction. METHODS: A retrospective analysis of the Healthcare Cost and Utilization Project National Inpatient Sample Database from 2014 to 2017 was performed. International Classification of Diseases Clinical Modification and Procedure Coding System codes were used to identify patients for inclusion. De-identified sociodemographic and insurance data were analyzed using χ(2), least absolute shrinkage and selection operator regression analysis, and classification trees. RESULTS: In total, 31,468 patients were identified for analysis and stratified by reconstructive modality, sociodemographics, insurance, and hospital characteristics. Most patients underwent nonautologous reconstruction (63.2%). Deep inferior epigastric perforator flaps were the most common autologous modality (46.7%). Least absolute shrinkage and selection operator regression identified Black race, urban-teaching hospitals, nonsmoking status, and obesity to be associated with autologous reconstruction. Publicly-insured patients were less likely to undergo autologous reconstruction than privately-insured patients. Within autologous reconstruction, publicly-insured patients were 1.97 (P < 0.001) times as likely to obtain pedicled flaps than free flaps. Black patients were 33% (P < 0.001) less likely to obtain free flaps than White patients. CONCLUSIONS: Breast reconstruction is influenced by insurance, hospital demographics, and sociodemographic factors. Action to mitigate this health disparity should be undertaken so that surgical decision-making is solely dependent upon medical and anatomic factors. Lippincott Williams & Wilkins 2023-02-17 /pmc/articles/PMC9937099/ /pubmed/36817274 http://dx.doi.org/10.1097/GOX.0000000000004818 Text en Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Breast
Boyd, Louisa C.
Greenfield, Jason A.
Ainapurapu, Sravya S.
Skladman, Rachel
Skolnick, Gary
Sundaramoorthi, Durai
Sacks, Justin M.
The Insurance Landscape for Implant- and Autologous-based Breast Reconstruction in the United States
title The Insurance Landscape for Implant- and Autologous-based Breast Reconstruction in the United States
title_full The Insurance Landscape for Implant- and Autologous-based Breast Reconstruction in the United States
title_fullStr The Insurance Landscape for Implant- and Autologous-based Breast Reconstruction in the United States
title_full_unstemmed The Insurance Landscape for Implant- and Autologous-based Breast Reconstruction in the United States
title_short The Insurance Landscape for Implant- and Autologous-based Breast Reconstruction in the United States
title_sort insurance landscape for implant- and autologous-based breast reconstruction in the united states
topic Breast
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937099/
https://www.ncbi.nlm.nih.gov/pubmed/36817274
http://dx.doi.org/10.1097/GOX.0000000000004818
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