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Identifying the origin of socioeconomic disparities in outcomes of major elective operations()

BACKGROUND: While the impact of socioeconomic status (SES) on surgical outcomes has been examined in limited series, it remains a significant determinant of healthcare outcomes at the national level. Therefore, the current study aims to determine SES disparities at three time-points: hospital access...

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Autores principales: Williamson, Catherine G., Richardson, Shannon, Ebrahimian, Shayan, Kronen, Elsa, Verma, Arjun, Benharash, Peyman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173262/
https://www.ncbi.nlm.nih.gov/pubmed/37181545
http://dx.doi.org/10.1016/j.sopen.2023.04.001
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author Williamson, Catherine G.
Richardson, Shannon
Ebrahimian, Shayan
Kronen, Elsa
Verma, Arjun
Benharash, Peyman
author_facet Williamson, Catherine G.
Richardson, Shannon
Ebrahimian, Shayan
Kronen, Elsa
Verma, Arjun
Benharash, Peyman
author_sort Williamson, Catherine G.
collection PubMed
description BACKGROUND: While the impact of socioeconomic status (SES) on surgical outcomes has been examined in limited series, it remains a significant determinant of healthcare outcomes at the national level. Therefore, the current study aims to determine SES disparities at three time-points: hospital accessibility, in-hospital outcomes, and post-discharge consequences. METHODS: The Nationwide Readmissions Database 2010–2018 was used to isolate major elective operations. SES was assigned using previously coded median income quartiles as defined by patient zip-code, with low SES defined as the lowest quartile and high SES as the highest. RESULTS: Of an estimated 4,816,837 patients undergoing major elective operations, 1,037,689 (21.3 %) were categorized as low SES and 1,288,618 (26.5 %) as high. On univariate analysis and compared to those of low SES, high SES patients were more frequently treated at high-volume centers (70.9 vs 55.6 %, p < 0.001), had lower rates of in-hospital complications (24.0 vs 29.0 %, p < 0.001) and mortality (0.4 vs 0.9 %, p < 0.001) as well as less frequent urgent readmissions at 30- (5.7 vs 7.1 %, p < 0.001) and 90-day timepoints (9.4 vs 10.7 %, p < 0.001). On multivariable analysis, high SES patients had higher odds of treatment at high-volume centers (Odds: 1.87, 95 % CI: 1.71–2.06), and lower odds of perioperative complications (Odds: 0.98, 95 % CI: 0.96–0.99), mortality (Odds: 0.70, 95 % CI: 0.65–0.75), and urgent readmissions at 90-days (Odds: 0.95, 95 % CI: 0.92–0.98). CONCLUSION: This study fills a much-needed gap in the current literature by establishing that all of the aforementioned timepoints include significant disadvantages for those of low socioeconomic status. Therefore, a multidisciplinary approach may be required for intervention to improve equity for surgical patients.
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spelling pubmed-101732622023-05-12 Identifying the origin of socioeconomic disparities in outcomes of major elective operations() Williamson, Catherine G. Richardson, Shannon Ebrahimian, Shayan Kronen, Elsa Verma, Arjun Benharash, Peyman Surg Open Sci Research Paper BACKGROUND: While the impact of socioeconomic status (SES) on surgical outcomes has been examined in limited series, it remains a significant determinant of healthcare outcomes at the national level. Therefore, the current study aims to determine SES disparities at three time-points: hospital accessibility, in-hospital outcomes, and post-discharge consequences. METHODS: The Nationwide Readmissions Database 2010–2018 was used to isolate major elective operations. SES was assigned using previously coded median income quartiles as defined by patient zip-code, with low SES defined as the lowest quartile and high SES as the highest. RESULTS: Of an estimated 4,816,837 patients undergoing major elective operations, 1,037,689 (21.3 %) were categorized as low SES and 1,288,618 (26.5 %) as high. On univariate analysis and compared to those of low SES, high SES patients were more frequently treated at high-volume centers (70.9 vs 55.6 %, p < 0.001), had lower rates of in-hospital complications (24.0 vs 29.0 %, p < 0.001) and mortality (0.4 vs 0.9 %, p < 0.001) as well as less frequent urgent readmissions at 30- (5.7 vs 7.1 %, p < 0.001) and 90-day timepoints (9.4 vs 10.7 %, p < 0.001). On multivariable analysis, high SES patients had higher odds of treatment at high-volume centers (Odds: 1.87, 95 % CI: 1.71–2.06), and lower odds of perioperative complications (Odds: 0.98, 95 % CI: 0.96–0.99), mortality (Odds: 0.70, 95 % CI: 0.65–0.75), and urgent readmissions at 90-days (Odds: 0.95, 95 % CI: 0.92–0.98). CONCLUSION: This study fills a much-needed gap in the current literature by establishing that all of the aforementioned timepoints include significant disadvantages for those of low socioeconomic status. Therefore, a multidisciplinary approach may be required for intervention to improve equity for surgical patients. Elsevier 2023-04-15 /pmc/articles/PMC10173262/ /pubmed/37181545 http://dx.doi.org/10.1016/j.sopen.2023.04.001 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Paper
Williamson, Catherine G.
Richardson, Shannon
Ebrahimian, Shayan
Kronen, Elsa
Verma, Arjun
Benharash, Peyman
Identifying the origin of socioeconomic disparities in outcomes of major elective operations()
title Identifying the origin of socioeconomic disparities in outcomes of major elective operations()
title_full Identifying the origin of socioeconomic disparities in outcomes of major elective operations()
title_fullStr Identifying the origin of socioeconomic disparities in outcomes of major elective operations()
title_full_unstemmed Identifying the origin of socioeconomic disparities in outcomes of major elective operations()
title_short Identifying the origin of socioeconomic disparities in outcomes of major elective operations()
title_sort identifying the origin of socioeconomic disparities in outcomes of major elective operations()
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173262/
https://www.ncbi.nlm.nih.gov/pubmed/37181545
http://dx.doi.org/10.1016/j.sopen.2023.04.001
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