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Distribution and predictors of emergency department charges: the case of a tertiary hospital in Lebanon

BACKGROUND: As health care costs continue to increase worldwide, health care systems, and more specifically hospitals are facing continuous pressure to operate more efficiently. One service within the hospital sector whose cost structure has been modestly investigated is the Emergency Department (ED...

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Autores principales: Saleh, Shadi, Mourad, Yara, Dimassi, Hani, Hitti, Eveline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4797130/
https://www.ncbi.nlm.nih.gov/pubmed/26993108
http://dx.doi.org/10.1186/s12913-016-1337-2
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author Saleh, Shadi
Mourad, Yara
Dimassi, Hani
Hitti, Eveline
author_facet Saleh, Shadi
Mourad, Yara
Dimassi, Hani
Hitti, Eveline
author_sort Saleh, Shadi
collection PubMed
description BACKGROUND: As health care costs continue to increase worldwide, health care systems, and more specifically hospitals are facing continuous pressure to operate more efficiently. One service within the hospital sector whose cost structure has been modestly investigated is the Emergency Department (ED). The study aims to report on the distribution of ED resource use, as expressed in charges, and to determine predictors of/contributors to total ED charges at a major tertiary hospital in Lebanon. METHODS: The study used data extracted from the ED discharge database for visits between July 31, 2012 and July 31, 2014. Patient visit bills were reported under six major categories: solutions, pharmacy, laboratory, physicians, facility, and radiology. Characteristics of ED visits were summarized according to patient gender, age, acuity score, and disposition. Univariate and multivariate analyses were conducted with total charges as the dependent variable. RESULTS: Findings revealed that the professional fee (40.9 %) followed by facility fee (26.1 %) accounted for the majority of the ED charges. While greater than 80 % of visit charges went to physician and facility fee for low acuity cases, these contributed to only 52 and 54 % of the high acuity presentations where ancillary services and solutions’ contribution to the total charges increased. The total charges for males were $14 higher than females; age was a predictor of higher charges with total charges of patients greater than 60 years of age being around $113 higher than ages 0–18 after controlling for all other variables. CONCLUSION: Understanding the components and determinants of ED charges is essential to developing cost-containment interventions. Institutional modeling of charging patterns can be used to offer price estimates to ED patients who request this information and ultimately help create market competition to drive down costs.
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spelling pubmed-47971302016-03-18 Distribution and predictors of emergency department charges: the case of a tertiary hospital in Lebanon Saleh, Shadi Mourad, Yara Dimassi, Hani Hitti, Eveline BMC Health Serv Res Research Article BACKGROUND: As health care costs continue to increase worldwide, health care systems, and more specifically hospitals are facing continuous pressure to operate more efficiently. One service within the hospital sector whose cost structure has been modestly investigated is the Emergency Department (ED). The study aims to report on the distribution of ED resource use, as expressed in charges, and to determine predictors of/contributors to total ED charges at a major tertiary hospital in Lebanon. METHODS: The study used data extracted from the ED discharge database for visits between July 31, 2012 and July 31, 2014. Patient visit bills were reported under six major categories: solutions, pharmacy, laboratory, physicians, facility, and radiology. Characteristics of ED visits were summarized according to patient gender, age, acuity score, and disposition. Univariate and multivariate analyses were conducted with total charges as the dependent variable. RESULTS: Findings revealed that the professional fee (40.9 %) followed by facility fee (26.1 %) accounted for the majority of the ED charges. While greater than 80 % of visit charges went to physician and facility fee for low acuity cases, these contributed to only 52 and 54 % of the high acuity presentations where ancillary services and solutions’ contribution to the total charges increased. The total charges for males were $14 higher than females; age was a predictor of higher charges with total charges of patients greater than 60 years of age being around $113 higher than ages 0–18 after controlling for all other variables. CONCLUSION: Understanding the components and determinants of ED charges is essential to developing cost-containment interventions. Institutional modeling of charging patterns can be used to offer price estimates to ED patients who request this information and ultimately help create market competition to drive down costs. BioMed Central 2016-03-18 /pmc/articles/PMC4797130/ /pubmed/26993108 http://dx.doi.org/10.1186/s12913-016-1337-2 Text en © Saleh et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Saleh, Shadi
Mourad, Yara
Dimassi, Hani
Hitti, Eveline
Distribution and predictors of emergency department charges: the case of a tertiary hospital in Lebanon
title Distribution and predictors of emergency department charges: the case of a tertiary hospital in Lebanon
title_full Distribution and predictors of emergency department charges: the case of a tertiary hospital in Lebanon
title_fullStr Distribution and predictors of emergency department charges: the case of a tertiary hospital in Lebanon
title_full_unstemmed Distribution and predictors of emergency department charges: the case of a tertiary hospital in Lebanon
title_short Distribution and predictors of emergency department charges: the case of a tertiary hospital in Lebanon
title_sort distribution and predictors of emergency department charges: the case of a tertiary hospital in lebanon
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4797130/
https://www.ncbi.nlm.nih.gov/pubmed/26993108
http://dx.doi.org/10.1186/s12913-016-1337-2
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