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Disparities in selective referral for cancer surgeries: implications for the current healthcare delivery system

OBJECTIVES: Among considerable efforts to improve quality of surgical care, expedited measures such as a selective referral to high-volume institutions have been advocated. Our objective was to examine whether racial, insurance and/or socioeconomic disparities exist in the use of high-volume hospita...

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Autores principales: Sun, Maxine, Karakiewicz, Pierre I, Sammon, Jesse D, Sukumar, Shyam, Gervais, Mai-Kim, Nguyen, Paul L, Choueiri, Toni K, Menon, Mani, Trinh, Quoc-Dien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3963094/
https://www.ncbi.nlm.nih.gov/pubmed/24657917
http://dx.doi.org/10.1136/bmjopen-2013-003921
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author Sun, Maxine
Karakiewicz, Pierre I
Sammon, Jesse D
Sukumar, Shyam
Gervais, Mai-Kim
Nguyen, Paul L
Choueiri, Toni K
Menon, Mani
Trinh, Quoc-Dien
author_facet Sun, Maxine
Karakiewicz, Pierre I
Sammon, Jesse D
Sukumar, Shyam
Gervais, Mai-Kim
Nguyen, Paul L
Choueiri, Toni K
Menon, Mani
Trinh, Quoc-Dien
author_sort Sun, Maxine
collection PubMed
description OBJECTIVES: Among considerable efforts to improve quality of surgical care, expedited measures such as a selective referral to high-volume institutions have been advocated. Our objective was to examine whether racial, insurance and/or socioeconomic disparities exist in the use of high-volume hospitals for complex surgical oncological procedures within the USA. DESIGN, SETTING AND PARTICIPANTS: Patients undergoing colectomy, cystectomy, oesophagectomy, gastrectomy, hysterectomy, lung resection, pancreatectomy or prostatectomy were identified retrospectively, using the Nationwide Inpatient Sample, between years 1999 and 2009. This resulted in a weighted estimate of 2 508 916 patients. PRIMARY OUTCOME MEASURES: Distribution of patients according to race, insurance and income characteristics was examined according to low-volume and high-volume hospitals (highest 20% of patients according to the procedure-specific mean annual volume). Generalised linear regression models for prediction of access to high-volume hospitals were performed. RESULTS: Insurance providers and county income levels varied differently according to patients’ race. Most Caucasians resided in wealthier counties, regardless of insurance types (private/Medicare), while most African Americans resided in less wealthy counties (≤$24 999), despite being privately insured. In general, Caucasians, privately insured, and those residing in wealthier counties (≥$45 000) were more likely to receive surgery at high-volume hospitals, even after adjustment for all other patient-specific characteristics. Depending on the procedure, some disparities were more prominent, but the overall trend suggests a collinear effect for race, insurance type and county income levels. CONCLUSIONS: Prevailing disparities exist according to several patient and sociodemographic characteristics for utilisation of high-volume hospitals. Efforts should be made to directly reduce such disparities and ensure equal healthcare delivery.
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spelling pubmed-39630942014-03-24 Disparities in selective referral for cancer surgeries: implications for the current healthcare delivery system Sun, Maxine Karakiewicz, Pierre I Sammon, Jesse D Sukumar, Shyam Gervais, Mai-Kim Nguyen, Paul L Choueiri, Toni K Menon, Mani Trinh, Quoc-Dien BMJ Open Public Health OBJECTIVES: Among considerable efforts to improve quality of surgical care, expedited measures such as a selective referral to high-volume institutions have been advocated. Our objective was to examine whether racial, insurance and/or socioeconomic disparities exist in the use of high-volume hospitals for complex surgical oncological procedures within the USA. DESIGN, SETTING AND PARTICIPANTS: Patients undergoing colectomy, cystectomy, oesophagectomy, gastrectomy, hysterectomy, lung resection, pancreatectomy or prostatectomy were identified retrospectively, using the Nationwide Inpatient Sample, between years 1999 and 2009. This resulted in a weighted estimate of 2 508 916 patients. PRIMARY OUTCOME MEASURES: Distribution of patients according to race, insurance and income characteristics was examined according to low-volume and high-volume hospitals (highest 20% of patients according to the procedure-specific mean annual volume). Generalised linear regression models for prediction of access to high-volume hospitals were performed. RESULTS: Insurance providers and county income levels varied differently according to patients’ race. Most Caucasians resided in wealthier counties, regardless of insurance types (private/Medicare), while most African Americans resided in less wealthy counties (≤$24 999), despite being privately insured. In general, Caucasians, privately insured, and those residing in wealthier counties (≥$45 000) were more likely to receive surgery at high-volume hospitals, even after adjustment for all other patient-specific characteristics. Depending on the procedure, some disparities were more prominent, but the overall trend suggests a collinear effect for race, insurance type and county income levels. CONCLUSIONS: Prevailing disparities exist according to several patient and sociodemographic characteristics for utilisation of high-volume hospitals. Efforts should be made to directly reduce such disparities and ensure equal healthcare delivery. BMJ Publishing Group 2014-03-03 /pmc/articles/PMC3963094/ /pubmed/24657917 http://dx.doi.org/10.1136/bmjopen-2013-003921 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Public Health
Sun, Maxine
Karakiewicz, Pierre I
Sammon, Jesse D
Sukumar, Shyam
Gervais, Mai-Kim
Nguyen, Paul L
Choueiri, Toni K
Menon, Mani
Trinh, Quoc-Dien
Disparities in selective referral for cancer surgeries: implications for the current healthcare delivery system
title Disparities in selective referral for cancer surgeries: implications for the current healthcare delivery system
title_full Disparities in selective referral for cancer surgeries: implications for the current healthcare delivery system
title_fullStr Disparities in selective referral for cancer surgeries: implications for the current healthcare delivery system
title_full_unstemmed Disparities in selective referral for cancer surgeries: implications for the current healthcare delivery system
title_short Disparities in selective referral for cancer surgeries: implications for the current healthcare delivery system
title_sort disparities in selective referral for cancer surgeries: implications for the current healthcare delivery system
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3963094/
https://www.ncbi.nlm.nih.gov/pubmed/24657917
http://dx.doi.org/10.1136/bmjopen-2013-003921
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