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A Multi-institutional Analysis of Insurance Status as a Predictor of Morbidity Following Breast Reconstruction

BACKGROUND: Although recent literature suggests that patients with Medicaid and Medicare are more likely than those with private insurance to experience complications following a variety of procedures, there has been limited evaluation of insurance-based disparities in reconstructive surgery outcome...

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Autores principales: Vieira, Brittany L., Lanier, Steven T., Mlodinow, Alexei S., Bethke, Kevin P., Murphy, Robert X., Hume, Keith M., Gutowski, Karol A., Fine, Neil A., Kim, John Y. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4255898/
https://www.ncbi.nlm.nih.gov/pubmed/25506538
http://dx.doi.org/10.1097/GOX.0000000000000207
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author Vieira, Brittany L.
Lanier, Steven T.
Mlodinow, Alexei S.
Bethke, Kevin P.
Murphy, Robert X.
Hume, Keith M.
Gutowski, Karol A.
Fine, Neil A.
Kim, John Y. S.
author_facet Vieira, Brittany L.
Lanier, Steven T.
Mlodinow, Alexei S.
Bethke, Kevin P.
Murphy, Robert X.
Hume, Keith M.
Gutowski, Karol A.
Fine, Neil A.
Kim, John Y. S.
author_sort Vieira, Brittany L.
collection PubMed
description BACKGROUND: Although recent literature suggests that patients with Medicaid and Medicare are more likely than those with private insurance to experience complications following a variety of procedures, there has been limited evaluation of insurance-based disparities in reconstructive surgery outcomes. Using a large, multi-institutional database, we sought to evaluate the potential impact of insurance status on complications following breast reconstruction. METHODS: We identified all breast reconstructive cases in the 2008 to 2011 Tracking Operations and Outcomes for Plastic Surgeons clinical registry. Propensity scores were calculated for each case, and insurance cohorts were matched with regard to demographic and clinical characteristics. Outcomes of interest included 15 medical and 13 surgical complications. RESULTS: Propensity-score matching yielded 493 matched patients for evaluation of Medicaid and 670 matched patients for evaluation of Medicare. Overall complication rates did not significantly differ between patients with Medicaid or Medicare and those with private insurance (P = 0.167 and P = 0.861, respectively). Risk-adjusted multivariate regressions corroborated this finding, demonstrating that Medicaid and Medicare insurance status does not independently predict surgical site infection, seroma, hematoma, explantation, or wound dehiscence (all P > 0.05). Medicaid insurance status significantly predicted flap failure (odds ratio = 3.315, P = 0.027). CONCLUSIONS: This study is the first to investigate the differential effects of payer status on outcomes following breast reconstruction. Our results suggest that Medicaid and Medicare insurance status does not independently predict increased overall complication rates following breast reconstruction. This finding underscores the commitment of the plastic surgery community to providing consistent care for patients, irrespective of insurance status.
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spelling pubmed-42558982014-12-12 A Multi-institutional Analysis of Insurance Status as a Predictor of Morbidity Following Breast Reconstruction Vieira, Brittany L. Lanier, Steven T. Mlodinow, Alexei S. Bethke, Kevin P. Murphy, Robert X. Hume, Keith M. Gutowski, Karol A. Fine, Neil A. Kim, John Y. S. Plast Reconstr Surg Glob Open Original Articles BACKGROUND: Although recent literature suggests that patients with Medicaid and Medicare are more likely than those with private insurance to experience complications following a variety of procedures, there has been limited evaluation of insurance-based disparities in reconstructive surgery outcomes. Using a large, multi-institutional database, we sought to evaluate the potential impact of insurance status on complications following breast reconstruction. METHODS: We identified all breast reconstructive cases in the 2008 to 2011 Tracking Operations and Outcomes for Plastic Surgeons clinical registry. Propensity scores were calculated for each case, and insurance cohorts were matched with regard to demographic and clinical characteristics. Outcomes of interest included 15 medical and 13 surgical complications. RESULTS: Propensity-score matching yielded 493 matched patients for evaluation of Medicaid and 670 matched patients for evaluation of Medicare. Overall complication rates did not significantly differ between patients with Medicaid or Medicare and those with private insurance (P = 0.167 and P = 0.861, respectively). Risk-adjusted multivariate regressions corroborated this finding, demonstrating that Medicaid and Medicare insurance status does not independently predict surgical site infection, seroma, hematoma, explantation, or wound dehiscence (all P > 0.05). Medicaid insurance status significantly predicted flap failure (odds ratio = 3.315, P = 0.027). CONCLUSIONS: This study is the first to investigate the differential effects of payer status on outcomes following breast reconstruction. Our results suggest that Medicaid and Medicare insurance status does not independently predict increased overall complication rates following breast reconstruction. This finding underscores the commitment of the plastic surgery community to providing consistent care for patients, irrespective of insurance status. Wolters Kluwer Health 2014-12-05 /pmc/articles/PMC4255898/ /pubmed/25506538 http://dx.doi.org/10.1097/GOX.0000000000000207 Text en Copyright © 2014 The Authors. Published by Lippincott Williams & Wilkins on behalf of The American Society of Plastic Surgeons. PRS Global Open is a publication of the American Society of Plastic Surgeons. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License, 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.
spellingShingle Original Articles
Vieira, Brittany L.
Lanier, Steven T.
Mlodinow, Alexei S.
Bethke, Kevin P.
Murphy, Robert X.
Hume, Keith M.
Gutowski, Karol A.
Fine, Neil A.
Kim, John Y. S.
A Multi-institutional Analysis of Insurance Status as a Predictor of Morbidity Following Breast Reconstruction
title A Multi-institutional Analysis of Insurance Status as a Predictor of Morbidity Following Breast Reconstruction
title_full A Multi-institutional Analysis of Insurance Status as a Predictor of Morbidity Following Breast Reconstruction
title_fullStr A Multi-institutional Analysis of Insurance Status as a Predictor of Morbidity Following Breast Reconstruction
title_full_unstemmed A Multi-institutional Analysis of Insurance Status as a Predictor of Morbidity Following Breast Reconstruction
title_short A Multi-institutional Analysis of Insurance Status as a Predictor of Morbidity Following Breast Reconstruction
title_sort multi-institutional analysis of insurance status as a predictor of morbidity following breast reconstruction
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4255898/
https://www.ncbi.nlm.nih.gov/pubmed/25506538
http://dx.doi.org/10.1097/GOX.0000000000000207
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