Evaluating the Relationship between Productivity and Quality in Emergency Departments

Background. In the United States, emergency departments (EDs) are constantly pressured to improve operational efficiency and quality in order to gain financial benefits and maintain a positive reputation. Objectives. The first objective is to evaluate how efficiently EDs transform their input resour...

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Main Authors: Hyojung Kang, Nathaniel D. Bastian, John P. Riordan
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Journal of Healthcare Engineering
Online Access:http://dx.doi.org/10.1155/2017/9626918
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spelling doaj-b0e1bb43b2d14f658f493988c326c41d2020-11-25T00:34:42ZengHindawi LimitedJournal of Healthcare Engineering2040-22952040-23092017-01-01201710.1155/2017/96269189626918Evaluating the Relationship between Productivity and Quality in Emergency DepartmentsHyojung Kang0Nathaniel D. Bastian1John P. Riordan2Department of Systems and Information Engineering, School of Engineering, University of Virginia, Charlottesville, VA, USADepartment of Supply Chain and Information Systems, Smeal College of Business, Pennsylvania State University, University Park, PA, USAUniversity of Virginia Health System, Charlottesville, VA, USABackground. In the United States, emergency departments (EDs) are constantly pressured to improve operational efficiency and quality in order to gain financial benefits and maintain a positive reputation. Objectives. The first objective is to evaluate how efficiently EDs transform their input resources into quality outputs. The second objective is to investigate the relationship between the efficiency and quality performance of EDs and the factors affecting this relationship. Methods. Using two data sources, we develop a data envelopment analysis (DEA) model to evaluate the relative efficiency of EDs. Based on the DEA result, we performed multinomial logistic regression to investigate the relationship between ED efficiency and quality performance. Results. The DEA results indicated that the main source of inefficiencies was working hours of technicians. The multinomial logistic regression result indicated that the number of electrocardiograms and X-ray procedures conducted in the ED and the length of stay were significantly associated with the trade-offs between relative efficiency and quality. Structural ED characteristics did not influence the relationship between efficiency and quality. Conclusions. Depending on the structural and operational characteristics of EDs, different factors can affect the relationship between efficiency and quality.http://dx.doi.org/10.1155/2017/9626918
collection DOAJ
language English
format Article
sources DOAJ
author Hyojung Kang
Nathaniel D. Bastian
John P. Riordan
spellingShingle Hyojung Kang
Nathaniel D. Bastian
John P. Riordan
Evaluating the Relationship between Productivity and Quality in Emergency Departments
Journal of Healthcare Engineering
author_facet Hyojung Kang
Nathaniel D. Bastian
John P. Riordan
author_sort Hyojung Kang
title Evaluating the Relationship between Productivity and Quality in Emergency Departments
title_short Evaluating the Relationship between Productivity and Quality in Emergency Departments
title_full Evaluating the Relationship between Productivity and Quality in Emergency Departments
title_fullStr Evaluating the Relationship between Productivity and Quality in Emergency Departments
title_full_unstemmed Evaluating the Relationship between Productivity and Quality in Emergency Departments
title_sort evaluating the relationship between productivity and quality in emergency departments
publisher Hindawi Limited
series Journal of Healthcare Engineering
issn 2040-2295
2040-2309
publishDate 2017-01-01
description Background. In the United States, emergency departments (EDs) are constantly pressured to improve operational efficiency and quality in order to gain financial benefits and maintain a positive reputation. Objectives. The first objective is to evaluate how efficiently EDs transform their input resources into quality outputs. The second objective is to investigate the relationship between the efficiency and quality performance of EDs and the factors affecting this relationship. Methods. Using two data sources, we develop a data envelopment analysis (DEA) model to evaluate the relative efficiency of EDs. Based on the DEA result, we performed multinomial logistic regression to investigate the relationship between ED efficiency and quality performance. Results. The DEA results indicated that the main source of inefficiencies was working hours of technicians. The multinomial logistic regression result indicated that the number of electrocardiograms and X-ray procedures conducted in the ED and the length of stay were significantly associated with the trade-offs between relative efficiency and quality. Structural ED characteristics did not influence the relationship between efficiency and quality. Conclusions. Depending on the structural and operational characteristics of EDs, different factors can affect the relationship between efficiency and quality.
url http://dx.doi.org/10.1155/2017/9626918
work_keys_str_mv AT hyojungkang evaluatingtherelationshipbetweenproductivityandqualityinemergencydepartments
AT nathanieldbastian evaluatingtherelationshipbetweenproductivityandqualityinemergencydepartments
AT johnpriordan evaluatingtherelationshipbetweenproductivityandqualityinemergencydepartments
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