Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1782347508009140224 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4255898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT vieirabrittanyl amultiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT lanierstevent amultiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT mlodinowalexeis amultiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT bethkekevinp amultiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT murphyrobertx amultiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT humekeithm amultiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT gutowskikarola amultiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT fineneila amultiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT kimjohnys amultiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT vieirabrittanyl multiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT lanierstevent multiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT mlodinowalexeis multiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT bethkekevinp multiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT murphyrobertx multiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT humekeithm multiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT gutowskikarola multiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT fineneila multiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction AT kimjohnys multiinstitutionalanalysisofinsurancestatusasapredictorofmorbidityfollowingbreastreconstruction |