Page 76 - 南京医科大学学报社会科学版
P. 76

南京医科大学学报(社会科学版)京医科大学学报(社会科学版)                 第6期 总第119期
                                                    南
              · 568  ·                       Journal of Nanjing Medical University(Social Sciences)of Nanjing Medical University(Social Sciences)  2023年12月
                                             Journal
                                      表 2  2022 年安徽省 33 家三级综合公立医院医疗服务指标数据
                医院       X1        X2       X3      X4       X5      X6      X7     X8       X9     X10    X11

                       318.343  17 562.018  98.125  98.200  97.100  33.860  0.048  0.018   52.985  94.900  6.665
                 H1
                       237.135  12 316.923  82.610  96.255  98.880  44.840  0.033  0.005   21.443  95.500  7.225
                 H2
                       245.860  13 392.850  93.080  99.228  97.048  39.798  0.163  0.007   28.703  87.353  8.128
                 H3
                       441.213  17 547.270  95.538  86.150  99.355  43.753  0.075  0.014   79.430  95.345  7.688
                 H4
                       311.545  18 630.000  99.018  99.658  98.885  44.880  0.013  0.003   75.685  88.430  7.128
                 H5
                       309.850  13 833.498  94.893  99.195  97.498  39.565  3.188  0.055   19.640  88.578  9.273
                 H6
                       258.260  14 691.093  98.815  99.995  98.758  35.493  0.050  0.000   66.173  83.623  7.473
                 H7
                       277.500  11 949.000  95.038  99.545  95.800  38.710  0.535  0.071   52.078  74.198  9.808
                 H8
                       433.983  10 403.543  96.600  74.450  96.138  36.568  0.048  0.021   19.435  79.525  7.150
                 H9
                       471.893  16 653.558  95.570  90.978  86.850  39.838  0.093  0.005   50.628  88.025  8.400
                 H10
                       311.500  10 657.020  97.975  99.075  96.275  37.158  0.008  0.100   54.258  93.450  8.800
                 H11
                       312.093  11 155.613  90.600  94.093  98.205  37.685  0.113  0.000   53.195  85.573  7.603
                 H12
                       291.263  12 758.973  97.870  99.865  98.228  38.990  0.330  0.011   57.305  65.698  9.365
                 H13
                       283.963  10 010.285  97.050  100.000  96.125  33.583  0.430  0.000  55.510  87.625  7.875
                 H14
                       318.188  10 537.210  97.505  100.000  96.825  36.933  0.255  0.046  24.550  76.875  7.850
                 H15
                       302.223  10 088.180  84.428  99.180  93.435  32.705  0.118  0.001   52.973  76.838  7.143
                 H16
                       240.155  9 784.450  98.225  97.958  96.065   33.735  0.168  0.018   64.650  77.925  8.133
                 H17
                       356.485  11 690.930  97.828  94.300  52.950  41.723  0.343  1.027   27.510  76.415  8.283
                 H18
                       339.153  9 088.070  81.758  99.398  96.703   34.920  0.000  0.011   58.863  66.125  8.700
                 H19
                       270.598  10 900.513  96.550  99.275  98.575  39.080  0.014  0.025   46.900  90.225  7.850
                 H20
                       154.038  12 099.888  85.750  97.623  98.125  31.930  0.170  0.013   56.475  70.750  9.000
                 H21
                       271.518  11 675.545  96.490  99.920  99.350  36.108  0.403  0.055   17.630  86.718  9.610
                 H22
                       292.408  7 938.170  98.475  98.875  97.400   38.625  0.175  0.049   69.975  84.875  7.825
                 H23
                       302.000  11 056.000  98.225  99.500  90.525  40.393  0.250  0.026    4.380  81.470  7.625
                 H24
                       161.983  7 971.358  72.925  74.650  84.850   29.223  0.135  0.000   25.275  53.700  6.250
                 H25
                       217.508  10 046.210  98.575  96.700  94.840  25.008  0.103  0.017    5.615  97.375  15.600
                 H26
                       134.453  11 003.123  98.050  100.000  96.200  38.655  0.030  0.010  16.275  65.825  8.083
                 H27
                       185.600  5 934.913  99.063  99.890  95.590   34.520  0.168  0.000    8.853  81.125  7.275
                 H28
                       194.135  13 224.018  77.885  99.750  99.750  35.008  0.265  0.070   61.453  81.588  8.550
                 H29
                       284.668  8 074.918  97.000  71.025  90.025   37.705  0.040  0.013   13.150  87.725  8.350
                 H30
                       173.190  10 087.780  97.900  98.400  92.348  40.960  0.063  0.010   42.500  69.250  7.375
                 H31
                       186.903  12 080.195  96.125  98.000  97.783  39.666  0.000  0.010   52.790  87.033  8.438
                 H32
                       205.095  9 076.280  98.988  91.885  98.678   35.458  0.130  0.024   53.830  82.305  7.775
                 H33
               表 3  2022 年安徽省 33 家三级综合公立医院医疗服务指                  对象均处于“中”等级(表 6)。同时,这三类数据满
                    标信息熵值、效用值及熵权                                 足正态分布,对其进行单因素方差分析,结果显示,
                   指标       信息熵值        信息效用值         熵权         F 值为 46.481,P<0.001,提示这三类医院之间的差
                              0.971        0.029      0.109
                                                                 异具有统计学意义。
                    X1
                              0.968        0.032      0.118
                    X2
                                                                     (五)三种评价方法结果对比及相关性分析
                              0.979        0.021      0.077
                    X3
                              0.978        0.022      0.082          通过三种评价方法分析发现,H17、H33、H14、H7、
                    X4
                              0.990        0.010      0.036      H23、H21 在三种综合评价方法中多次排名靠前,而
                    X5
                              0.953        0.047      0.176
                    X6                                           H2、H24、H6、H9、H18 在三种综合评价方法中多次排
                              0.991        0.009      0.034
                    X7
                                                                 名 靠 后 ,且 排 名 靠 前 与 排 名 靠 后 医 院 的 差 异 较
                              0.991        0.009      0.033
                    X8
                                                                 大。从具体结果对比来看,TOPSIS 法与 RSR 法评
                              0.944        0.056      0.210
                    X9
                              0.977        0.023      0.086      价中,前 5 名和后 5 名的医院均相同,只是前 5 名医
                    X10
                              0.989        0.011      0.039      院的排序略有差异。而密切值法与其他两种方法
                    X11
   71   72   73   74   75   76   77   78   79   80   81