Table 2 Descriptive statistics for the sample hospitals
From: Can integrated care improve the efficiency of hospitals? Research based on 200 Hospitals in China
Code | Explanation of the variable | N | Mean | SD | Median | Min | Max |
|---|---|---|---|---|---|---|---|
Input variable | |||||||
 NP | Number of physicians | 200 | 86.593 | 175.949 | 20 | 1 | 1265 |
 NAMS | Number of ancillary medical Staff | 200 | 3.722 | 3.953 | 3 | 0 | 30 |
 NN | Number of nurses | 200 | 144.742 | 338.667 | 33 | 0 | 2684 |
 NOE | Number of other employeesstaff, including administrative, technical staff and logistic staff | 200 | 111.792 | 176.389 | 54 | 2 | 1,563 |
 NB | Number of hospital beds | 200 | 303.970 | 556.952 | 93 | 0 | 4042 |
 OO | Operating cost | 200 | 192,476.615 | 599,029.829 | 22,317 | 854 | 5,283,269 |
Output variable | |||||||
 ND | NAnnual number of discharges from hospital | 200 | 9835.319 | 20,289.562 | 2688 | 0 | 136,788 |
 UD | Length of stay (bed days per year) | 200 | 100,289.537 | 205,961.229 | 20,471 | 0 | 1,439,541 |
 NIA | Annual nNumber of inpatient admissions | 200 | 9842.152 | 20,305.706 | 2665 | 0 | 136,926 |
 NOV | Annual nNumber of outpatient visits | 200 | 119,606.523 | 350,487.324 | 14,999 | 0 | 2,870,064 |
 NEV | Annual nNumber of emergency visits | 200 | 20,926.295 | 43,641.697 | 6480 | 0 | 396,063 |
 AVFP | Annual nNumber of annualfamily visits for family planning | 200 | 1019.411 | 3916.575 | 1019 | 0 | 53,515 |
 ARH | Annual revenues of hospitals | 200 | 179,652.965 | 596,434.739 | 15,757 | 108 | 5,179,985 |
 NS | Annual nNumber of surgeries | 200 | 3597.900 | 8437.977 | 2527 | 0 | 71,788 |
Independent variable | |||||||
 IC1 | Whether implementing IC or not | 200 | Yes: n = 24 (12%); No: n = 176 (88%) | ||||
 ROPA | Average length of stay for discharged | 200 | 12.016 | 19.188 | 9 | 1 | 193 |
 NAPP | Beds density per physician | 200 | 5.092 | 5.314 | 4 | 0 | 40 |
 NAPN | Bed density per nurse | 200 | 3.683 | 3.896 | 3 | 0 | 31 |
 RMA | Inpatient mortality rate | 200 | 0.002 | 0.008 | 0 | 0 | 0 |
 WHC | Facility type measure by whether the hospital is a regional medical center or not | 200 | Yes: n = 47 (23.5%); No: n = 152 (76%) | ||||
 TNS | Clinical specialization measured by the number of key clinical department | 200 | 2.058 | 3.971 | 2 | 0 | 31 |
Dependent variable | |||||||
 INEFF(VRS) | Inefficiency score of hospital | 200 | 0.346 | 0.478 | 0 | 0 | 3 |
 INEFF(CSR) | Inefficiency score of hospital | 200 | 0.512 | 0.836 | 0 | 0 | 8 |