Evaluating hospital performance with additive DEA and MPI: the Isfahan University of Medical Science case study
Abstract Background Hospitals are a vital pillar of the health system, and measuring their performance by an appropriate quantitative model is crucial. This study evaluated the performance of hospitals affiliated with Isfahan University of Medical Sciences. It deals with the nature of dynamics (the...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-01-01
|
| Series: | BMC Health Services Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12913-024-12145-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841559726289059840 |
|---|---|
| author | Shirin Alsadat Hadian Reza Rezayatmand Saeedeh Ketabi Nasrin Shaarbafchizadeh Ahmad Reza Pourghaderi |
| author_facet | Shirin Alsadat Hadian Reza Rezayatmand Saeedeh Ketabi Nasrin Shaarbafchizadeh Ahmad Reza Pourghaderi |
| author_sort | Shirin Alsadat Hadian |
| collection | DOAJ |
| description | Abstract Background Hospitals are a vital pillar of the health system, and measuring their performance by an appropriate quantitative model is crucial. This study evaluated the performance of hospitals affiliated with Isfahan University of Medical Sciences. It deals with the nature of dynamics (the performance of evaluation indicators over time), examining controllable, uncontrollable, and undesirable input and output indicators. Methods This study evaluated the performance of 26 Isfahan University of Medical Science hospitals in terms of efficiency and productivity with hybrid Data Envelopment Analysis (DEA) models, namely, the additive classic, Malmquist productivity index (MPI), and super-efficiency models, from 2019 through 2022. Thirteen indicators (four inputs and nine outputs) were selected as model variables by brainstorming in the expert panel. Results The average technical efficiency of hospitals during the four periods was 0.86, indicating an average inefficiency of 14%. Malmquist productivity index results over four periods showed hospitals operating with an average of 11% positive growth, reflecting an overall increase in productivity. Notably, some hospitals with high technical efficiency displayed lower total productivity growth rates due to fluctuations in specific indicators. On average, in the four under study years, 12 hospitals were efficient, of which 75% (9 hospitals) had performance progress (average MPI > 1). On the contrary, among the 14 inefficient hospitals during the four studied years, more than 90% of the hospitals had improved performance. Conclusion This study introduces a multidimensional and dynamic model for evaluating hospital performance. While classic DEA models provide a statistical performance evaluation, the Malmquist Productivity Index reveals dynamic performance changes over time. These findings underscore the need for hospitals to adopt advanced quantitative models to optimize resource allocation and enhance service delivery. |
| format | Article |
| id | doaj-art-3bf91a0a567342c7bb2e7b72af262e0a |
| institution | Kabale University |
| issn | 1472-6963 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Health Services Research |
| spelling | doaj-art-3bf91a0a567342c7bb2e7b72af262e0a2025-01-05T12:12:33ZengBMCBMC Health Services Research1472-69632025-01-0125111510.1186/s12913-024-12145-yEvaluating hospital performance with additive DEA and MPI: the Isfahan University of Medical Science case studyShirin Alsadat Hadian0Reza Rezayatmand1Saeedeh Ketabi2Nasrin Shaarbafchizadeh3Ahmad Reza Pourghaderi4School of Management and Medical Information Sciences, Isfahan University of Medical Sciences Health Management and Economics Research Center , Isfahan University of Medical SciencesDepartment of Management, Faculty of Administrative Sciences and Economics, University of IsfahanHospital Management Research Center, Health Management Research Institute, Iran University of Medical SciencesSchool of Public Health and Preventive Medicine, Monash UniversityAbstract Background Hospitals are a vital pillar of the health system, and measuring their performance by an appropriate quantitative model is crucial. This study evaluated the performance of hospitals affiliated with Isfahan University of Medical Sciences. It deals with the nature of dynamics (the performance of evaluation indicators over time), examining controllable, uncontrollable, and undesirable input and output indicators. Methods This study evaluated the performance of 26 Isfahan University of Medical Science hospitals in terms of efficiency and productivity with hybrid Data Envelopment Analysis (DEA) models, namely, the additive classic, Malmquist productivity index (MPI), and super-efficiency models, from 2019 through 2022. Thirteen indicators (four inputs and nine outputs) were selected as model variables by brainstorming in the expert panel. Results The average technical efficiency of hospitals during the four periods was 0.86, indicating an average inefficiency of 14%. Malmquist productivity index results over four periods showed hospitals operating with an average of 11% positive growth, reflecting an overall increase in productivity. Notably, some hospitals with high technical efficiency displayed lower total productivity growth rates due to fluctuations in specific indicators. On average, in the four under study years, 12 hospitals were efficient, of which 75% (9 hospitals) had performance progress (average MPI > 1). On the contrary, among the 14 inefficient hospitals during the four studied years, more than 90% of the hospitals had improved performance. Conclusion This study introduces a multidimensional and dynamic model for evaluating hospital performance. While classic DEA models provide a statistical performance evaluation, the Malmquist Productivity Index reveals dynamic performance changes over time. These findings underscore the need for hospitals to adopt advanced quantitative models to optimize resource allocation and enhance service delivery.https://doi.org/10.1186/s12913-024-12145-yHospitalPerformance evaluationEfficiencyData Envelopment Analysis (DEA)Malmquist productivity index (MPI)Additive DEA model |
| spellingShingle | Shirin Alsadat Hadian Reza Rezayatmand Saeedeh Ketabi Nasrin Shaarbafchizadeh Ahmad Reza Pourghaderi Evaluating hospital performance with additive DEA and MPI: the Isfahan University of Medical Science case study BMC Health Services Research Hospital Performance evaluation Efficiency Data Envelopment Analysis (DEA) Malmquist productivity index (MPI) Additive DEA model |
| title | Evaluating hospital performance with additive DEA and MPI: the Isfahan University of Medical Science case study |
| title_full | Evaluating hospital performance with additive DEA and MPI: the Isfahan University of Medical Science case study |
| title_fullStr | Evaluating hospital performance with additive DEA and MPI: the Isfahan University of Medical Science case study |
| title_full_unstemmed | Evaluating hospital performance with additive DEA and MPI: the Isfahan University of Medical Science case study |
| title_short | Evaluating hospital performance with additive DEA and MPI: the Isfahan University of Medical Science case study |
| title_sort | evaluating hospital performance with additive dea and mpi the isfahan university of medical science case study |
| topic | Hospital Performance evaluation Efficiency Data Envelopment Analysis (DEA) Malmquist productivity index (MPI) Additive DEA model |
| url | https://doi.org/10.1186/s12913-024-12145-y |
| work_keys_str_mv | AT shirinalsadathadian evaluatinghospitalperformancewithadditivedeaandmpitheisfahanuniversityofmedicalsciencecasestudy AT rezarezayatmand evaluatinghospitalperformancewithadditivedeaandmpitheisfahanuniversityofmedicalsciencecasestudy AT saeedehketabi evaluatinghospitalperformancewithadditivedeaandmpitheisfahanuniversityofmedicalsciencecasestudy AT nasrinshaarbafchizadeh evaluatinghospitalperformancewithadditivedeaandmpitheisfahanuniversityofmedicalsciencecasestudy AT ahmadrezapourghaderi evaluatinghospitalperformancewithadditivedeaandmpitheisfahanuniversityofmedicalsciencecasestudy |