Literature DB >> 30466953

The effect of Hispanic ethnicity on surgical outcomes: An analysis of the NSQIP database.

Monica M Betancourt-Garcia1, Kristina Vatcheva2, Prateek K Gupta3, Ricardo D Martinez4, Joseph B McCormick5, Susan P Fisher-Hoch5, R Armour Forse4.   

Abstract

BACKGROUND: Existing literature has shown racial/ethnic disparities between white and black surgical populations, however, surgical outcomes for Hispanic patients are limited in both scope and quantity.
METHODS: Data from the American College of Surgeons National Surgical Quality Improvement Program from 2007 to 2015 was used to analyze surgical outcomes in approximately 3.5 million patients.
RESULTS: Overall, Hispanics experienced lower odds of mortality compared to non-Hispanic White, non-Hispanic Black, and non-Hispanic American Indian or Alaska Native patients (all P < 0.0001). No difference was found in mortality odds between Hispanics and non-Hispanic Asian or Native Hawaiian patients. Hispanics experienced minimal disparities in complications as compared to non-Hispanic White and non-Hispanic Black but had a higher rate of select complications when compared to Non-Hispanic Asian, Native Hawaiian, or Pacific Islander.
CONCLUSION: Hispanics, in general, had lower odds of 30-day postoperative mortality and major morbidity compared to most of the races/ethnicities included in the ACS NSQIP database.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Hispanic epidemiological paradox; Hispanic health outcomes; NSQIP; Surgery; Surgical outcomes

Mesh:

Year:  2018        PMID: 30466953     DOI: 10.1016/j.amjsurg.2018.10.004

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  2 in total

1.  Mortality After Elective Surgery: The Potential Role for Preoperative Palliative Care.

Authors:  Alexandria J Robbins; Gregory J Beilman; Tatiana Ditta; Ashley Benner; Drew Rosielle; Jeffrey Chipman; Elizabeth Lusczek
Journal:  J Surg Res       Date:  2021-05-10       Impact factor: 2.417

2.  A comparison of statistical methods for modeling count data with an application to hospital length of stay.

Authors:  Gustavo A Fernandez; Kristina P Vatcheva
Journal:  BMC Med Res Methodol       Date:  2022-08-04       Impact factor: 4.612

  2 in total

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