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Association of Insurance Status with Health Outcomes Following Traumatic Injury: Statewide Multicenter Analysis
INTRODUCTION: Recognizing disparities in definitive care for traumatic injuries created by insurance status may help reduce the higher risk of trauma-related mortality in this population. Our objective was to understand the relationship between patients’ insurance status and trauma outcomes. METHODS...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Department of Emergency Medicine, University of California, Irvine School of Medicine
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427212/ https://www.ncbi.nlm.nih.gov/pubmed/25987915 http://dx.doi.org/10.5811/westjem.2015.1.23560 |
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author | Chikani, Vatsal Brophy, Maureen Vossbrink, Anne PhD, Khaleel Hussaini Salvino, Chistopher Skubic, Jeffrey Martinez, Rogelio |
author_facet | Chikani, Vatsal Brophy, Maureen Vossbrink, Anne PhD, Khaleel Hussaini Salvino, Chistopher Skubic, Jeffrey Martinez, Rogelio |
author_sort | Chikani, Vatsal |
collection | PubMed |
description | INTRODUCTION: Recognizing disparities in definitive care for traumatic injuries created by insurance status may help reduce the higher risk of trauma-related mortality in this population. Our objective was to understand the relationship between patients’ insurance status and trauma outcomes. METHODS: We collected data on all patients involved in traumatic injury from eight Level I and 15 Level IV trauma centers, and four non-designated hospitals through Arizona State Trauma Registry between January 1, 2008 and December 31, 2011. Of 109,497 records queried, we excluded 29,062 (26.5%) due to missing data on primary payer, sex, race, zip code of residence, injury severity score (ISS), and alcohol or drug use. Of the 80,435 cases analyzed, 13.3% were self-pay, 38.8% were Medicaid, 13% were Medicare, and 35% were private insurance. We evaluated the association between survival and insurance status (private insurance, Medicare, Medicaid, and self-pay) using multiple logistic regression analyses after adjusting for race/ethnicity (White, Black/African American, Hispanic, and American Indian/Alaska Native), age, gender, income, ISS and injury type (penetrating or blunt). RESULTS: The self-pay group was more likely to suffer from penetrating trauma (18.2%) than the privately insured group (6.0%), p<0.0001. There were more non-White (53%) self-pay patients compared to the private insurance group (28.3%), p<0.0001. Additionally, the self-pay group had significantly higher mortality (4.3%) as compared to private insurance (1.9%), p<0.0001. A simple logistic regression revealed higher mortality for self-pay patients (crude OR= 2.32, 95% CI [2.07–2.67]) as well as Medicare patients (crude OR= 2.35, 95% CI [2.54–3.24]) as compared to private insurance. After adjusting for confounding, a multiple logistic regression revealed that mortality was highest for self-pay patients as compared to private insurance (adjusted OR= 2.76, 95% CI [2.30–3.32]). CONCLUSION: These results demonstrate that after controlling for confounding variables, self-pay patients had a significantly higher risk of mortality following a traumatic injury as compared to any other insurance-type groups. Further research is warranted to understand this finding and possibly decrease the mortality rate in this population. |
format | Online Article Text |
id | pubmed-4427212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Department of Emergency Medicine, University of California, Irvine School of Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-44272122015-05-18 Association of Insurance Status with Health Outcomes Following Traumatic Injury: Statewide Multicenter Analysis Chikani, Vatsal Brophy, Maureen Vossbrink, Anne PhD, Khaleel Hussaini Salvino, Chistopher Skubic, Jeffrey Martinez, Rogelio West J Emerg Med Health Outcomes INTRODUCTION: Recognizing disparities in definitive care for traumatic injuries created by insurance status may help reduce the higher risk of trauma-related mortality in this population. Our objective was to understand the relationship between patients’ insurance status and trauma outcomes. METHODS: We collected data on all patients involved in traumatic injury from eight Level I and 15 Level IV trauma centers, and four non-designated hospitals through Arizona State Trauma Registry between January 1, 2008 and December 31, 2011. Of 109,497 records queried, we excluded 29,062 (26.5%) due to missing data on primary payer, sex, race, zip code of residence, injury severity score (ISS), and alcohol or drug use. Of the 80,435 cases analyzed, 13.3% were self-pay, 38.8% were Medicaid, 13% were Medicare, and 35% were private insurance. We evaluated the association between survival and insurance status (private insurance, Medicare, Medicaid, and self-pay) using multiple logistic regression analyses after adjusting for race/ethnicity (White, Black/African American, Hispanic, and American Indian/Alaska Native), age, gender, income, ISS and injury type (penetrating or blunt). RESULTS: The self-pay group was more likely to suffer from penetrating trauma (18.2%) than the privately insured group (6.0%), p<0.0001. There were more non-White (53%) self-pay patients compared to the private insurance group (28.3%), p<0.0001. Additionally, the self-pay group had significantly higher mortality (4.3%) as compared to private insurance (1.9%), p<0.0001. A simple logistic regression revealed higher mortality for self-pay patients (crude OR= 2.32, 95% CI [2.07–2.67]) as well as Medicare patients (crude OR= 2.35, 95% CI [2.54–3.24]) as compared to private insurance. After adjusting for confounding, a multiple logistic regression revealed that mortality was highest for self-pay patients as compared to private insurance (adjusted OR= 2.76, 95% CI [2.30–3.32]). CONCLUSION: These results demonstrate that after controlling for confounding variables, self-pay patients had a significantly higher risk of mortality following a traumatic injury as compared to any other insurance-type groups. Further research is warranted to understand this finding and possibly decrease the mortality rate in this population. Department of Emergency Medicine, University of California, Irvine School of Medicine 2015-05 2015-03-17 /pmc/articles/PMC4427212/ /pubmed/25987915 http://dx.doi.org/10.5811/westjem.2015.1.23560 Text en Copyright © 2015 the authors. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Health Outcomes Chikani, Vatsal Brophy, Maureen Vossbrink, Anne PhD, Khaleel Hussaini Salvino, Chistopher Skubic, Jeffrey Martinez, Rogelio Association of Insurance Status with Health Outcomes Following Traumatic Injury: Statewide Multicenter Analysis |
title | Association of Insurance Status with Health Outcomes Following Traumatic Injury: Statewide Multicenter Analysis |
title_full | Association of Insurance Status with Health Outcomes Following Traumatic Injury: Statewide Multicenter Analysis |
title_fullStr | Association of Insurance Status with Health Outcomes Following Traumatic Injury: Statewide Multicenter Analysis |
title_full_unstemmed | Association of Insurance Status with Health Outcomes Following Traumatic Injury: Statewide Multicenter Analysis |
title_short | Association of Insurance Status with Health Outcomes Following Traumatic Injury: Statewide Multicenter Analysis |
title_sort | association of insurance status with health outcomes following traumatic injury: statewide multicenter analysis |
topic | Health Outcomes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427212/ https://www.ncbi.nlm.nih.gov/pubmed/25987915 http://dx.doi.org/10.5811/westjem.2015.1.23560 |
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