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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Format: | Article |
Language: | English |
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Sciendo
2020-05-01
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Series: | Engineering Management in Production and Services |
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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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format | Article |
id | doaj.art-b8b33400fd7b4188a24e1c76be3efc1d |
institution | Directory Open Access Journal |
issn | 2543-912X |
language | English |
last_indexed | 2024-12-17T22:48:55Z |
publishDate | 2020-05-01 |
publisher | Sciendo |
record_format | Article |
series | Engineering Management in Production and Services |
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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