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Table 16. Hospital by procedure code
Table of DSHOSPID by PR1
Hospital
PR1(Principal procedure)
Total
Frequency
Row Pct
Col Pct
3611
3612
3613
3614
3615
3616
3619
1
16
4.92
14.81
37
11.38
12.85
47
14.46
11.69
24
7.38
9.09
193
59.38
51.47
8
2.46
28.57
0
0.00
0.00
325
2
3
27.27
2.78
4
36.36
1.39
1
9.09
0.25
0
0.00
0.00
2
18.18
0.53
1
9.09
3.57
0
0.00
0.00
11
3
5
4.46
4.63
10
8.93
3.47
19
16.96
4.73
7
6.25
2.65
69
61.61
18.40
2
1.79
7.14
0
0.00
0.00
112
4
22
8.70
20.37
59
23.32
20.49
82
32.41
20.40
75
29.64
28.41
15
5.93
4.00
0
0.00
0.00
0
0.00
0.00
253
5
2
2.27
1.85
14
15.91
4.86
34
38.64
8.46
29
32.95
10.98
9
10.23
2.40
0
0.00
0.00
0
0.00
0.00
88
6
5
2.86
4.63
23
13.14
7.99
51
29.14
12.69
36
20.57
13.64
58
33.14
15.47
2
1.14
7.14
0
0.00
0.00
175
7
21
7.42
19.44
79
27.92
27.43
95
33.57
23.63
60
21.20
22.73
15
5.30
4.00
12
4.24
42.86
1
0.35
100.00
283
8
7
15.56
6.48
11
24.44
3.82
17
37.78
4.23
9
20.00
3.41
1
2.22
0.27
0
0.00
0.00
0
0.00
0.00
45
9
15
19.23
13.89
23
29.49
7.99
23
29.49
5.72
7
8.97
2.65
9
11.54
2.40
1
1.28
3.57
0
0.00
0.00
78
10
12
12.50
11.11
28
29.17
9.72
33
34.38
8.21
17
17.71
6.44
4
4.17
1.07
2
2.08
7.14
0
0.00
0.00
96
Total
108
288
402
264
375
28
1
1466
In fact, the results are the same. We also examine the length of stay in relationship to the APRDRG index
using kernel density estimation. Figure 28 shows the results.
With the average stay of almost 10 days, this error is less than that compared to the Charlson Index
alone. The optimal model is Dmine regression, shown in Figure 29.
The results show that both the APRDRG indices and the Charlson Index are both used in the model
along with patient demographics.
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