A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivity

Hospitals are the most important and costly component of the healthcare system. Therefore, hospital performance evaluation (HPE) is an important issue for the managers of these centres. This paper presents a new approach for HPE that can be used to calculate the efficiency, effectiveness, and produc...

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Main Authors: Ghahremanloo Mohammad, Hasani Aliakbar, Amiri Maghsoud, Hashemi-Tabatabaei Mohammad, Keshavarz-Ghorabaee Mehdi, Ustinovičius Leonas
Format: Article
Language:English
Published: Sciendo 2020-05-01
Series:Engineering Management in Production and Services
Subjects:
Online Access:https://doi.org/10.2478/emj-2020-0001
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author Ghahremanloo Mohammad
Hasani Aliakbar
Amiri Maghsoud
Hashemi-Tabatabaei Mohammad
Keshavarz-Ghorabaee Mehdi
Ustinovičius Leonas
author_facet Ghahremanloo Mohammad
Hasani Aliakbar
Amiri Maghsoud
Hashemi-Tabatabaei Mohammad
Keshavarz-Ghorabaee Mehdi
Ustinovičius Leonas
author_sort Ghahremanloo Mohammad
collection DOAJ
description Hospitals are the most important and costly component of the healthcare system. Therefore, hospital performance evaluation (HPE) is an important issue for the managers of these centres. This paper presents a new approach for HPE that can be used to calculate the efficiency, effectiveness, and productivity of hospitals simultaneously. Efficiency refers to the ratio of inputs and outputs, effectiveness refers to the extent to which outputs align with predetermined goals, and productivity refers to the sum of both efficiency and effectiveness. To this end, a Data Envelopment Analysis (DEA) model is developed to simultaneously measure the efficiency, effectiveness, and productivity (DEA-EEP) of hospitals. DEA is a linear programming technique that in its traditional form, calculates the performance of similar decision-making units (DMUs) that have both inputs and outputs. In this study, the inputs are the number of health workers, the number of other staff, and the number of patient beds; while the outputs are the bed occupancy rate and the bed turnover rate. A target value is set for each output to measure the effectiveness of hospitals. The advantage of the developed model is the ability to provide a solution for non-productive units so that they can improve their performance by changing their inputs and outputs. In the case study, data of 11 hospitals in Tehran were evaluated for a 3-year period. Based on the results, some hospitals experienced an upward trend in the period, but the efficiency, effectiveness, and productivity scores of most hospitals fluctuated and did not have a growing trend. This indicates that although most hospitals sought to improve the quality of their services, they needed to take more serious steps.
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spelling doaj.art-b8b33400fd7b4188a24e1c76be3efc1d2022-12-21T21:29:44ZengSciendoEngineering Management in Production and Services2543-912X2020-05-0112171910.2478/emj-2020-0001emj-2020-0001A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivityGhahremanloo Mohammad0Hasani Aliakbar1Amiri Maghsoud2Hashemi-Tabatabaei Mohammad3Keshavarz-Ghorabaee Mehdi4Ustinovičius Leonas5Shahrood University of Technology, ShahroodIranShahrood University of Technology, ShahroodIranAllameh Tabataba'i University, TehranIranAllameh Tabataba'i University, TehranIranGonbad Kavous University, GonbadIranVilnius Gediminas Technical University, VilniusLithuaniaHospitals are the most important and costly component of the healthcare system. Therefore, hospital performance evaluation (HPE) is an important issue for the managers of these centres. This paper presents a new approach for HPE that can be used to calculate the efficiency, effectiveness, and productivity of hospitals simultaneously. Efficiency refers to the ratio of inputs and outputs, effectiveness refers to the extent to which outputs align with predetermined goals, and productivity refers to the sum of both efficiency and effectiveness. To this end, a Data Envelopment Analysis (DEA) model is developed to simultaneously measure the efficiency, effectiveness, and productivity (DEA-EEP) of hospitals. DEA is a linear programming technique that in its traditional form, calculates the performance of similar decision-making units (DMUs) that have both inputs and outputs. In this study, the inputs are the number of health workers, the number of other staff, and the number of patient beds; while the outputs are the bed occupancy rate and the bed turnover rate. A target value is set for each output to measure the effectiveness of hospitals. The advantage of the developed model is the ability to provide a solution for non-productive units so that they can improve their performance by changing their inputs and outputs. In the case study, data of 11 hospitals in Tehran were evaluated for a 3-year period. Based on the results, some hospitals experienced an upward trend in the period, but the efficiency, effectiveness, and productivity scores of most hospitals fluctuated and did not have a growing trend. This indicates that although most hospitals sought to improve the quality of their services, they needed to take more serious steps.https://doi.org/10.2478/emj-2020-0001hospital performance evaluation (hpe)data envelopment analysis (dea)efficiencyeffectivenessproductivity
spellingShingle Ghahremanloo Mohammad
Hasani Aliakbar
Amiri Maghsoud
Hashemi-Tabatabaei Mohammad
Keshavarz-Ghorabaee Mehdi
Ustinovičius Leonas
A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivity
Engineering Management in Production and Services
hospital performance evaluation (hpe)
data envelopment analysis (dea)
efficiency
effectiveness
productivity
title A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivity
title_full A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivity
title_fullStr A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivity
title_full_unstemmed A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivity
title_short A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivity
title_sort novel dea model for hospital performance evaluation based on the measurement of efficiency effectiveness and productivity
topic hospital performance evaluation (hpe)
data envelopment analysis (dea)
efficiency
effectiveness
productivity
url https://doi.org/10.2478/emj-2020-0001
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