Showing 5 results for Data Envelopment Analysis
Alireza Ilbeigi, Mostafa Kazemi, Mohammad Taghi Peivandi,
Volume 11, Issue 2 (8-2012)
Abstract
Background: The aim of this research was to measure and compare relative efficiency of general hospitals under supervision of Mashhad University of Medical Sciences (MUMS). The study also seek to investigate the likely relationship between the official evaluating scores reported by MUMS with findings of this study.
Materials & Methods: Data Envelopment Analysis (DEA) is utilized to determine relative efficiency of individual decision making units (DMUs). From state-run general hospitals in this study, 17 were selected based on the criteria suggested by the model. To distinguish efficient hospitals from inefficient ones, revised input-based BCC model was used incorporating ‘number of physicians' and ‘number of nurses' as inputs. Outputs were set as ‘the rate of inpatient days to staffed beds', ‘outpatient visits' and ‘number of surgeries' reported both at emergency and wards.
Results: The findings based on both CRS and VRS simulations indicate that the mean of technical efficiency was 0.823, mean managerial efficiency was 0.931 and subsequently mean scale efficiency was 0.881. It was further noticed that, there was no significant relationship between the performance appraisal outcomes from DEA model, and scores allocated to each hospital through official evaluation system.
Conclusion: Current official appraisal system based on pre-defined checklists may not be a reliable mean for evaluating and ranking efficiency of general hospitals.
Abbas Jahangiri, Mohammad Ali Keramati,
Volume 13, Issue 3 (12-2014)
Abstract
Background : All managers want to improve their organization 's efficiency . The purpose of this paper In addition to the asses the efficiency of Hospital during the time, is trying to answer to this question that, is the recruitment of new personnel able to increase hospital efficiency?
Materials & Methods : In this sectional study, the relative efficiency of Imam Khomeini Hospital in Arak during the thirty-one months Since April 2011 to November 2013 (16 months before and 15 months after the recruitment) by input-oriented DEA method with five inputs and five outputs and with considering each month as a decision making unit, was calculated by DEAP 2.1 software. Then, the efficiency scores during the two stages, once for sixteen months, and once for a total of thirty one month separately by Mann - Kendall test via Minitab 16 software was analyzed and the most important event in the hospital during the study period, was asked from hospital authorities.
Results: Most inputs and outputs of hospital have increased. The efficiency of the last eight months was equal to one . In addition, the efficiency of eleventh month was lower. The value of zs for first sixteen months and for a total of thirty-one months -0.55769 and 2.05318, respectively calculated .
Conclusion: Trend analysis of the efficiency Scores showed that simultaneously with the recruitment of new personnel without reports of other influential factors, Hospital efficiency has significantly improved.
Zahra Jalilibal, Mahyar Kianpour, Fariborz Jolai,
Volume 14, Issue 4 (1-2016)
Abstract
Background: Health care systems especially hospitals often encounter several risks which has weaken efficiency and hospitals performance entirely. Resilience engineering (RE) enables to remain high risk systems stable faced to sudden changes or minimizes negative effects of changes.
Materials and Methods: This study considered a new hybrid framework concept regarding the non-value added waiting time and resilience engineering indices as efficiency indices to evaluate private and public hospitals performance. With the intention of evaluating the hospitals performance, a hybrid framework including simulation and MADM methods utilized. Output-oriented Data Envelopment Analysis (DEA) approach used as MADM method.
Results: The results revealed that RE factors play a significant role in hospitals performance's promotion; also the private hospitals had better performance compared to the public ones.
Conclusions: Study results indicated that teamwork efficiency index compare to other efficiency indices had more effect on hospitals performance. Health system managers should be considered improved performance and efficiency policies and focus more on other RE indices parallel team work index.
Dr Mohsen Shafiei Nikabadi, S. Fereshteh Hoseini,
Volume 18, Issue 4 (1-2020)
Abstract
Background: Hospitals are considered as the largest and most costly unit of the health system. The present study aims to determine the efficiency of hospitals in Mashhad.
Materials and Methods: This is a descriptive-survey study that was carried out in 2016-2017. The population of the study consisted of patients referring to hospitals in Mashhad. For data collection, records were used in hospitals and the SERVQUAL questionnaire. Data analysis was performed in soft Gams software.
Results: The results of the study indicate that in the SERVQUAL section, three dimensions of empathy response and Warranty were the most important dimensions. Also, 3 characteristics of 26 qualitative features of the service were classified as "attractive". 4 qualitative features are classified as "essential" and 16 features in "single-dimensional". The rankings obtained in the bilingual network method are approximately the same and only in the case of the last four ranks of the final ranking is done by the voting method with equal weights. And it was determined that the hospital number (3) is the lowest and hospital number (5) has the best performance.
Conclusion: By combining the fuzzy SERVQUAL method with network data envelopment analysis, we can eliminate weaknesses in the selection of indicators in different layers of network analysis and calculate the efficiency of such networks. Hospitals need to increase and plan appropriately by designing a hospital that has the highest efficiency and optimal utilization of its resources and cost-effectiveness.
Zinab Shaker, Zohreh Shaker, Mohsen Barouni, Asma Sabermahany,
Volume 21, Issue 1 (5-2022)
Abstract
Background and Aim: Hospital is organization which its performance improvement is very important. In order to do this, we must evaluate the allocated resources and performance of hospitals. Calculating hospitals efficiency is one of the possible ways to evaluate the performance of them. In this study, the efficiency of allocated financial and human resources of public hospitals by provinces is examined.
Materials and Methods: This study was conducted in 2017-2018. Data were collected from 31 provinces of Iran. Input (including: number of physicians, number of nurses and number of active beds per ten thousand population) and output (number of hospitalizations and number of outpatients per ten thousand people). Data were collected from studies. The efficiency analyzing of the provincial treatment department was performed with DEAP software.
Results: The input population (nurse, doctor, bed) is related to hospitals and health centers in Semnan, Yazd and Mazandaran provinces And the least amount of input was related to Sistan and Baluchestan, Khuzestan, North Khorasan provinces. The highest output (inpatient and outpatient) belongs to East Azarbaijan province and the lowest output belonged to Hamedan province. Efficiency score, variable return to scale and constant return to scale for all hospitals in the country are 0.565, 0.813 and 0.47, respectively.
Conclusion: proper and correct distribution of resources between provinces may increase efficiency of resource distribution.
