scholarly journals Equality of Surgical Fee Schedule in Japan: A Retrospective Observational Study

2021 ◽  
Vol 14 ◽  
pp. 117863292110481
Author(s):  
Yoshinori Nakata ◽  
Yuichi Watanabe ◽  
Hiroshi Otake
Keyword(s):  
Data Envelopment Analysis ◽  
Efficiency Score ◽  
University Hospital ◽  
Data Envelopment ◽  
Surgical Specialty ◽  
Gini Coefficients ◽  
Significant Difference ◽  
Using Data ◽  
Fee Schedule ◽  
Duration Of Operation

The authors had previously demonstrated that the Japanese surgical fee schedule had been unequal among surgical specialties in spite of its biannual revisions. This study examined how the degree of inequality of the fee schedule changed by estimating Gini coefficients for efficiency scores computed from data envelopment analysis. All the surgeries at Teikyo University Hospital in 2013 to 2018 were candidates used for the analysis of efficiency and equality of fee schedule. Inputs were defined as (1) the number of assistants, and (2) the duration of operation. An output was defined as the surgical fee. Each surgeon’s efficiency score was calculated using data envelopment analysis. Using the medians of efficiency scores in each surgical specialty, the authors inferred Gini coefficients and their standard errors in each year and in each surgical fee schedule. The authors analyzed 16 307 surgical procedures during the study period of 2013 to 2018. There was no statistically significant difference in the Gini coefficients between the years and between the surgical fee schedules ( P > .05). It was demonstrated that the degree of inequality of the Japanese surgical fee schedule remained constant from 2013 through 2018.

scholarly journals Equality of surgical fee schedule in Japan: a retrospective observational study

2021 ◽  
Author(s):  
Yoshinori Nakata ◽  
Yuichi Watanabe ◽  
Hiroshi Otake
Keyword(s):  
Data Envelopment Analysis ◽  
Efficiency Score ◽  
University Hospital ◽  
Academic Rank ◽  
Data Envelopment ◽  
Surgical Specialty ◽  
Gini Coefficients ◽  
Decision Making Unit ◽  
Significant Difference ◽  
Fee Schedule

Abstract Background The purpose of this study is to examine how the degree of inequality of Japanese surgical fee schedule changed during the study period by applying Gini coefficients for efficiency scores computed from data envelopment analysis. Methods All the surgeries that were performed in the main operating rooms of Teikyo University Hospital in 2013-18 were candidates used for the analysis of efficiency and equality of fee schedule. The decision making unit was defined as a surgeon with the highest academic rank in the surgery. Inputs were defined as (1) the number of assistants, and (2) the duration of operation. An output was defined as the surgical fee that was charged for reimbursement. Each surgeon’s efficiency score was calculated using data envelopment analysis. Using the medians of efficiency scores in each surgical specialty, the authors inferred Gini coefficients and their standard errors in each year and in each surgical fee schedule by the Bootstrap methods. Results The authors analyzed 16,307 surgical procedures during the study period of 2013-18. There was no statistically significant difference in the Gini coefficients between the years and between the surgical fee schedules (p > 0.05). Conclusions The authors demonstrated that the degree of inequality of Japanese surgical fee schedule remained constant from 2013 through 2018.

scholarly journals Performance Assessment Based on the Relative Efficiency of Indian Opencast Coal Mines Using Data Envelopment Analysis and Malmquist Productivity Index

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4902
Author(s):  
Biswaranjita Mahapatra ◽  
Chandan Bhar ◽  
Sandeep Mondal
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Primary Source ◽  
Efficiency Score ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Significant Difference ◽  
Using Data

Coal is the primary source of energy in India. Despite being the second-largest coal-producingcountry, there exists a significant difference in demand and production in India. In this study, the relativeefficiency of twenty-eight selected opencast mines from a large public sector undertaking coal companyin India for 2018–2019 was assessed and ranked by using data envelopment analysis (DEA). This studyused input-oriented DEA with efficiency decomposition to pure technical efficiency, technical efficiency,and scale efficiency. The result showed that 25% and 36% of mines were efficient in technical efficiencyand pure technical efficiency, respectively, whereas the eight mines scale efficiency was inefficient witha decreasing return to scale. Further, in this study, theMalmquist Productivity Index (MPI)was employedto measure the efficiency of the selected mines for three consecutive years (2016–2017 to 2018–2019).The result shows that in only three mines the efficiency is continuously improving from 2016–2017 to2018–2019, whereas in more than 20% of mines the efficiency score is decreasing. Comparing theMPIefficiency and productivity assessment throughout the years, changes in innovation and technology areincreasing from 2017–2018 to 2018–2019. Finally, the study concluded with a comprehensive evaluationof each variable with mines performance. The author formulated the strategies, which in turn help coalprofessionals to improve the efficiency of the mine.

Predictors of surgeons’ efficiency in the operating rooms

2016 ◽  
Vol 30 (1) ◽  
pp. 16-21 ◽  
Author(s):  
Yoshinori Nakata ◽  
Yuichi Watanabe ◽  
Hiroto Narimatsu ◽  
Tatsuya Yoshimura ◽  
Hiroshi Otake ◽  
...  
Keyword(s):  
Statistical Significance ◽  
Personal Characteristics ◽  
Positive Association ◽  
Efficiency Score ◽  
University Hospital ◽  
Academic Rank ◽  
Data Envelopment ◽  
Surgical Specialty ◽  
Independent Variables ◽  
Fee Schedule

The sustainability of the Japanese healthcare system is questionable because of a huge fiscal debt. One of the solutions is to improve the efficiency of healthcare. The purpose of this study is to determine what factors are predictive of surgeons’ efficiency scores. The authors collected data from all the surgical procedures performed at Teikyo University Hospital from April 1 through September 30 in 2013–2015. Output-oriented Charnes-Cooper-Rhodes model of data envelopment analysis was employed to calculate each surgeon’s efficiency score. Seven independent variables that may predict their efficiency scores were selected: experience, medical school, surgical volume, gender, academic rank, surgical specialty, and the surgical fee schedule. Multiple regression analysis using random-effects Tobit model was used for our panel data. The data from total 8722 surgical cases were obtained in 18-month study period. The authors analyzed 134 surgeons. The only statistically significant coefficients were surgical specialty and surgical fee schedule (p = 0.000 and p = 0.016, respectively). Experience had some positive association with efficiency scores but did not reach statistical significance (p = 0.062). The other coefficients were not statistically significant. These results demonstrated that the surgical reimbursement system, not surgeons’ personal characteristics, is a significant predictor of surgeons’ efficiency.

scholarly journals Measuring the Efficiency of Indian Real Estate Firms During the Pre- and Post-Demonetization Period by Adopting Data Envelopment Analysis

2019 ◽  
Vol 7 (1) ◽  
pp. 98-109 ◽  
Author(s):  
S.V.S. Raja Prasad
Keyword(s):  
Data Envelopment Analysis ◽  
Real Estate ◽  
Radical Change ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Economic Policies ◽  
The Real Estate ◽  
Indian Economy ◽  
Significant Difference ◽  
Post Period

Abstract Indian real estate segment has been one of the utmost affected segments of economy contemplating the changes in economic policies. The Indian economy experienced a radical change as an outcome of demonetization and the consequences are perceived on the real estate segment. The current study has been proposed to evaluate the efficiency of Indian real estate firms by adopting the technique of data envelopment analysis during the pre- and post-period of demonetization. The aim of the research is to understand the effect of demonetization on the performance of the Indian real estate firms during the post-demonetization period compared to pre-demonetization period. Eight real estate firms have been considered for the analysis. The firms have been ranked on the basis of the efficiency score. It is evident from the results of the study that there is a significant difference between the ranks of the firms during the period of pre and post demonetization; and it can be elucidated that the demonetization has an impact on the performance of the firms.

scholarly journals Analysis the level of Efficiency of Sharia Commercial Bank and Sharia Business Unit in Indonesia with Data Envelopment Analysis Method

2021 ◽  
Vol 17 (1) ◽  
pp. 89-98
Author(s):  
Roikhan Mochamad Aziz ◽  
Dita Nur Amanda
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Bank ◽  
Sampling Efficiency ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Business Unit ◽  
Analysis Method ◽  
Significant Difference ◽  
Efficiency Comparison ◽  
Using Data

This research has the purpose to measure efficiency and analyze the efficiency comparison between Sharia Commercial Bank (BUS) and Sharia Bussines Unit (UUS) in Indonesia and compare the efficiency during the period 2008-2013. There are 10 Islamic banks which are used as samples of this research consisting of 3 Sharia Commercial Bank (BUS) and 7 Sharia Business Unit (UUS) that were chosen by purposive sampling. Efficiency measurements in this research using Data Envelopment Analysis (DEA). To determine differences in efficiency between Sharia Commercial Bank (BUS) and Sharia Bussines Unit (UUS), this study uses a different test parametric independent sample t-test. The result of this research showed that there is no significant difference between the efficiency of Sharia Commercial Bank (BUS) and Sharia Bussines Unit (UUS), during the period of 2008-2013 with possible intervention t value (-0.429) < t table (2.002) and probability value =0.000.

scholarly journals Performance of Malaysian Insurance Companies Using Data Envelopment Analysis

2018 ◽  
Vol 11 (3) ◽  
pp. 1147 ◽  
Author(s):  
Ng Jia Bao ◽  
Rohaizan Ramlan ◽  
Fazeeda Mohamad ◽  
Azlina Md Yassin
Keyword(s):  
Data Envelopment Analysis ◽  
Insurance Industry ◽  
Secondary Data ◽  
Efficiency Score ◽  
Equity Capital ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Insurance Company ◽  
Policy Makers ◽  
Using Data

The purpose of this study is to evaluate the performance of the local insurance in Malaysia for the period 2014-2015. The major challenge in the insurance industry is increasing competition in this market. Besides that, problematic in performance measurement to evaluate performance is another challenge in insurance industry. 24 local insurance companies involved in this study using quantitative method of Data Envelopment Analysis (DEA) output-orientation CCR model. This study utilizes three inputs and three outputs; operating expenses, equity capital and commission as well as net premium, net investment income, and net incurred claim. The secondary data sources were derived from official data of local insurance companies’ annual report respectively. The DEA-Solver-LV version 8 tools were used to analyze the data that have been collected to evaluate the performance of local insurance company. This DEA model allows integration of the performance for the insurance companies and provides management overall performance evaluation. The results showed that there are 8 efficient companies in 2014 and 9 efficient companies in 2015. The average efficiency score in 2014 was increased from 78.9% to 79.1% in 2015. The findings from this study will benefit the insurance associations in Malaysia, management of insurances companies and policy makers.

scholarly journals Selection and Analysis of Input-Output Variables using Data Envelopment Analysis of Decision Making Units - Indian Private Sector Banks

2021 ◽  
Vol 10 (5) ◽  
pp. 119-127
Author(s):  
B. Vittal ◽  
Raju Nellutla ◽  
M. Krishna Reddy
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Banking System ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Input Output ◽  
Key Factor ◽  
And Performance ◽  
Using Data ◽  
Decision Making Units

In banking system the evaluation of productivity and performance is the key factor among the fundamental concepts in management. For identify the potential performance of a bank efficiency is the parameter to evaluate effective banking system. To measure the efficiency of a bank selection of appropriate input-output variables is one of the most vital issues. The suitable identification of input-output variables helps to create and identify model in order to evaluate the efficiency and analysis. The Data Envelopment Analysis (DEA) is a mathematical approach used to measure the efficiency of identified Decision Making Units (DMUs). The DEA is a methodology for evaluating the relative efficiency of peer decision making units of identified input/output variables for the financial year 2018-19. In this study the basic DEA CCR, BCC models used for measure the efficiency of DMUs. In addition to these models for minimize the input excess and output shortfall Slack Based Measure (SBM) efficiency used. The SBM is a scalar measure which directly deals with slacks of input, output variables which help in obtain improved efficiency score compare with previous model. The result from the analysis is

scholarly journals A COMPARATIVE STUDY OF BANKING EFFICIENCY IN ASEAN-5: THE DATA ENVELOPMENT ANALYSIS (DEA) APPROACH

2018 ◽  
Vol 33 (2) ◽  
pp. 168
Author(s):  
Setyo Tri Wahyudi ◽  
Azizah Azizah
Keyword(s):  
Data Envelopment Analysis ◽  
High Efficiency ◽  
Efficiency Score ◽  
The Philippines ◽  
Data Envelopment ◽  
Banking Efficiency ◽  
Output Efficiency ◽  
Input Variables ◽  
Using Data ◽  
Second Period

As an intermediary institution, a bank is required to operate efficiently due to the increased competition among banks, both domestic and international. However, not all banks are able to optimize their owned resources to reach a certain efficiency level. Thus, efficiency plays an important role in this era of more globalized banking competiti on. The objective of this study is to calculate the banking efficiency score for the ASEAN-5 countries, consisting of Indonesia, Malaysia, the Philippines, Singapore, and Thailand. Using Data Envelopment Analysis (DEA), the input variables comprised of employees’ benefits, fixed assets, and deposits; while the output variables were total income and loans. The results show the relatively high efficiency levels of every bank in each country. The achievement of an input-output efficiency variable in the first period (2006-2009) tended to increase, but the second period (2010-2013) showed a declining trend. The performance of the banks in Singapore during the first period was very good, while in the second period, the banks in the Philippines showed a respectable performance.

Resource utilization in surgery after the revision of surgical fee schedule in Japan

2015 ◽  
Vol 28 (6) ◽  
pp. 635-643 ◽  
Author(s):  
Yoshinori Nakata ◽  
Tatsuya Yoshimura ◽  
Yuichi Watanabe ◽  
Hiroshi Otake ◽  
Giichiro Oiso ◽  
...  
Keyword(s):  
Resource Utilization ◽  
Skin Incision ◽  
University Hospital ◽  
Academic Rank ◽  
Surgical Specialty ◽  
Content Type ◽  
Decision Making Unit ◽  
Using Data ◽  
Fee Schedule ◽  
Time Of Operation

Purpose – The purpose of this paper is to examine whether the current surgical reimbursement system in Japan reflects resource utilization after the revision of fee schedule in 2014. Design/methodology/approach – The authors collected data from all the surgical procedures performed at Teikyo University Hospital from April 1 through September 30, 2014. The authors defined the decision-making unit as a surgeon with the highest academic rank in the surgery. Inputs were defined as the number of medical doctors who assisted surgery, and the time of operation from skin incision to closure. An output was defined as the surgical fee. The authors calculated surgeons’ efficiency scores using data envelopment analysis. Findings – The efficiency scores of each surgical specialty were significantly different (p=0.000). Originality/value – This result demonstrates that the Japanese surgical reimbursement scales still fail to reflect resource utilization despite the revision of surgical fee schedule.

scholarly journals Measuring Firm and Sector Efficiency in Pakistan: An Application of Data Envelopment Analysis

2019 ◽  
Vol 14 (3) ◽  
pp. 239-257
Author(s):  
Touqeer Saher ◽  
Muhammad Asad Saleem Malik ◽  
Saif Ullah ◽  
Atta Ullah
Keyword(s):  
Data Envelopment Analysis ◽  
Positive Impact ◽  
Efficiency Score ◽  
Brand Value ◽  
Data Envelopment ◽  
Probit Regression ◽  
Firm Efficiency ◽  
Listed Firms ◽  
Dea Analysis ◽  
Using Data

AbstractThis study aims to determine the firm and sector efficiency using data envelopment analysis for 121 listed firms, 3 from 2004 to 2016. Based on the efficiency score of 1 and 0, DEA analysis results indicate that 10% firm was highly efficient in the whole sample, 80% are semi-efficient in selected sectors and 10% slightly inefficient. Thus, we can conclude that all firms are not equally efficient. Also, the study used a Logit/ Probit Regression model, and results indicate that the brand value and type of sector has a positive impact on firm efficiency. The study concludes that Brand value increases firm efficiency, so managers should put more focus on building firm brand value.

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