Objective: To measure the hospital operation efficiency, study the correlation between average length of stay and hospital operation efficiency, analyze the importance of shortening average length of stay to the improvement of the hospital operation efficiency and put forward relevant policy suggestion. Methods: Based on China provincial panel data from 2003 to 2012, the hospital operation efficiencies are calculated using Super Efficiency Data Envelopment Analysis model, and the correlation between average length of stay and hospital operation efficiency is tested using Spearman rank correlation coefficient test. Results: From 2003 to 2012, the average of national hospital operation efficiency was increasing slowly and the hospital operations were inefficient in most of the areas. The national hospital operation efficiency is negatively correlated to the average length of stay. Conclusion: Measures should be taken to set average length of stay in a scientific and reasonable way, improve social and economic benefits based on the improvement of efficiency.
Average Length of Stay Hospital Operation Efficiency Correlation Super Efficiency Data Envelopment Analysis1. Introduction
At present, the key to solving the problem of the imbalance between supply and demand in the field of medical service is to improve the operational efficiency of the hospital, so as to effectively improve the capacity of medical and health services. Average length of stay has been considered as an important indicator in the assessment of medical care and health service performance. Average length of stay (ALOS) refers to average number of days staying in hospital for every inpatient within a certain period of time (usually one year). Various measures have been taken to reduce average length of stay to improve medical care and health service efficiency in different countries. To reasonably shorten the average length of stay is of great significance in easing the pressure on medical beds and optimizing the allocation of health resources because it will not only alleviate the medical expenditure burden on patients, but will also expand the patient reception capacity for hospitals, thus contributing to the improvement of social welfare and economic benefits. The existing literatures focus more on measuring the hospital efficiency using Data Envelopment Analysis [1]-[4]. Some other the previous studies studied the length of stay [5] [6]. However, much less attention has been paid to the relationship between operational efficiency and average length of stay in hospital. This paper quantitatively investigates the relationship between average length of day and operational efficiency in hospital in order to provide feasible policy reference for the optimization of hospital medical resource allocation in China.
2. Data and Methods2.1. Data Sources
The data used in this paper is extracted from the OECD (Organization for Economic Cooperation and Development) database (2004-2013), and China Health Statistical Yearbook (2004-2013). According to the statistical caliber of China health Statistical Yearbook, the term “hospital” in this paper refers to general hospital, hospital of traditional Chinese medicine, integrated hospital of traditional Chinese and western medicine, national hospital, and all kinds of specialized hospitals and nursing homes, but not includes specialized disease control center, maternal and child care service center and convalescent hospital.
2.2. Research Method
First, this paper analyzes the changing trends of average length of stay in different countries including the United States, Australia, United Kingdom, Chile from 2003 to 2012. Second, this paper uses the Super-Efficiency DEA model and selects the data of the number of hospitals, hospital medical beds and the number of health person- nel in 31 provinces of China from 2003 to 2012 as input variables, and chooses hos- pital visits of outpatient and emergency department, number of inpatients, number of discharged patients, and the number of surgeries of hospital inpatients as output variables. Use these methods and data, this paper measures the hospital operational efficiency in each province and studies the correlation between efficiency and average length of stay.
3. Results3.1. Comparative Analysis of Length of Stay among Domestic and Foreign Hospitals
Average length of stay of the discharged inpatients from hospital is an indicator reflecting the hospital operational efficiency and service performance. The decrease of average hospital length of stay indicates the improvement of the comprehensive efficiency of the hospital. Shortening average length of stay within reasonable limits will not only reduce the medical expenditure burden on patients, but will also improve the utilization rate of hospital medical bed so as to meet medical health needs of more patients.
As can be seen from Figure 1, from 2003 to 2012, there exists a declining trend in the average lengths of stay of the discharged inpatients from hospital in five countries. In China, the average length of stay declines from 11 days to 10 days. Although the declining degree is moderate for those countries, the general trend is the decrease of average length of stay annually, which indicates that each of the countries is actively optimizing resource utilization to improve efficiency and reduce the average length of stay as much and reasonable as possible. The largest decline happens in the United Kingdom , a reduction of 2.4 days. Although has been decreased, the average length of stay in China is still the largest in the five countries.
3.2. Measurement of Hospital Operational Efficiency in China
Using Super-Efficiency DEA model, the hospital operational efficiencies of 31 provinces in China from 2003 to 2012 are calculated. The results are shown in Table 1.
Due to space limitation, only the values of hospital operational efficiencies of 31 provinces in 2003 and 2012, and 10-year average efficiencies are listed in Table 1. As can be seen from Table 1, based on the comparison of provincial hospital operational
Average length of stay of the discharged inpatients from hospital in five countries from 2003-2012
efficiencies between 2003 and 2012, the efficiencies in only 6 provinces are improved. From the perspective of 10-year average efficiencies, the hospitals only 5 provinces are generally in efficient status.
3.3. Normality Test of Hospital Operational Efficiency and Average Length of Stay
Based on the result of single sample Kolmogorov-Smirnov test, as shown in Table 2,
Hospital operational efficiencies in 31 provinces of China
Province
2003
2012
2003-2012 average
Province
2003
2012
2003-2012 average
Beijing
0.6546
0.5994
0.7789
Hubei
0.8783
0.7506
0.9604
Tianjin
0.5799
0.5538
0.7268
Hunan
0.8163
0.8063
0.9205
Hebei
0.8544
0.7870
0.8846
Guangdong
1.3095
1.3663
1.2667
Shanxi
0.6010
0.5822
0.6052
Guangxi
0.9297
0.8749
0.9602
Inner Mongolia
0.6717
0.6113
0.6862
Hainan
0.7667
0.7430
0.8132
Liaoning
0.6230
0.6145
0.6809
Chongqing
0.8625
0.8953
0.9079
Jilin
0.6392
0.6163
0.6833
Sichuan
0.9143
0.9053
0.9435
Heilongjiang
0.6599
0.6178
0.6691
Guizhou
0.8281
0.9331
0.9169
Shanghai
1.3420
1.4164
1.3624
Yunnan
0.9006
0.8653
1.0404
Jiangsu
0.9617
0.8742
0.9174
Tibet
0.5076
0.4493
0.6149
Zhejiang
1.1422
1.3862
1.0564
Shaanxi
0.7202
0.6527
0.7694
Anhui
0.8552
0.8012
0.8994
Gansu
0.6722
0.6749
0.7670
Fujian
1.1036
1.0325
1.0934
Qinghai
0.8296
0.6862
0.7646
Jiangxi
0.9264
0.8090
0.9478
Ningxia
0.7702
0.7563
0.8111
Shandong
0.9418
0.9280
0.9122
Xinjiang
0.9013
0.8990
0.9248
Henan
0.8197
0.7905
0.8568
-
-
-
-
Kolmogorov-Smirnov test results
ALOS
Efficiency
N
310
310
Normal parametersa
Mean
10.8826
0.8755
Std. Deviation
1.63733
0.18474
Most extreme differences
Absolute
0.170
0.093
Positive
0.170
0.093
Negative
−0.099
−0.044
Kolmogorov-Smirnov Z
2.999
1.636
Asymp. Sig. (2-tailed)
0.000
0.009
aTest distribution is normal.
p-values of hospital operational efficiency and average length of stay are both smaller than 0.05, which means that both of the data arrays don’t obey normal distribution. Therefore, it is necessary to use Spearman rank correlation coefficient to test the correlations between hospital operational efficiency and average length of stay.
3.4. Correlation Analysis of Hospital Operational Efficiency and Average Length of Stay
Using Spearman rank correlation coefficient, the correlation of hospital operational efficiency and average length of stay is tested. The results are shown in Table 3. From the table, it is clear that there exists significant negative correlation between hospital operational efficiency and average length of stay, which means that the shortening of average length of stay could significantly improve the hospital operational efficiency in China .
4. Discussions4.1. Shrink the Difference of Average Length of Stay between China and Other Countries
Through comparison it is clear that even if health resources are relatively abundant, the average length of stay in each country should be reduced to optimize the utilization efficiency of the medical bed, so as to maximize the utilization of limited resources to meet the needs of patients. The main reasons to the differences of average length of stay across different countries mainly due to the following three aspects: 1) the wasting of relatively scarce medical care and health service resources; 2) Shortage of nursing personnel; 3) Inadequate primary medical care system.
4.2. Reasonably Set Average Length of Stay to Improve the Social and Economic Benefits by Efficiency Improvement
The results show that Chinese hospital operating efficiency and the average length of stay were significantly negatively correlated. Shortening the average length of stay will help patients get timely treatment, reduce the chance of repeated infection and reduce the medical expense burdens on patients, facilitate more reasonable resource configuration, and accelerate the turnover rate of hospital medical beds, so as to increase the
Correlation test results
ALOS
Efficiency
ALOS
Correlation coefficient
1.000
−0.336**
Sig. (2-tailed)
.
0.000
N
310
310
Efficiency
Correlation coefficient
−0.336**
1.000
Sig. (2-tailed)
0.000
.
N
310
310
number of visits and further enhance medical income. In the mean time, the social and economic benefits of hospital could be improved [7].
4.3. Shorten the Ineffective Length of Stay, and Improve the Hospital Operational Efficiency
In order to shorten the average length of stay, it is important to reduce the ineffective length of stay in the hospital which not only increases the economic burden on patients and their families, but also wastes scarce medical resources and reduces medical income of hospitals. Therefore, in order to improve hospital operational efficiency and shorten average length of stay, it is of great importance to sharply reduce or erase ineffective length of stay, which requires the improvement of management level and medical skill and technology levels, together with the cooperation and coordination among inpatient department and other hospital departments, and the active involvement of every health technical personnel. At the same time, two-way referral mechanism should be further improved [8], which requires that the hospital inpatients in rehabilitation period and inpatients with chronic disease should be discharged in time or transferred to primary health service center to receive follow-up rehabilitation treatment.
Funding
This study was supported by the National Natural Science Foundation of China [No. 71273187] and National Natural Science Foundation of China [No. 71473175].
Cite this paper
Liu, Q., Zhang, X.Y., Guo, Y.N., Zhang, Y., Wang, Y.X., Li, B. and Wang, Y.G. (2016) The Correlation of Hospital Operational Efficiency and Average Length of Stay in China: A Study Based on Provincial Level Data. Journal of Biosciences and Medicines, 4, 49-55. http://dx.doi.org/10.4236/jbm.2016.412008
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