The Analysis on Annual Utilization Patterns of Inpatients in Korean Medical Hospitals for the Past 10 years

Article information

Acupunct. 2016;33(2):61-76
Department of Acupuncture & Moxibustion, College of Korean Medicine, Daejeon University
*Corresponding author: Department of Acupuncture & Moxibustion Medicine, Dunsan Oriental Hospital of Daejeon University, 75, Daedeok-daero 176beon-gil, Seo-gu, Daejeon, 35235, Republic of Korea, Tel: +82-42-470-9137, E-mail: omdkim01@dju.kr
Received 2016 May 10; Revised 2016 June 03; Accepted 2016 June 07.

Abstract

Objectives:

This study was designed to clarify population-social characteristics that influence the utilization patterns of hospitalized patients in a traditional korean hospital, thereby providing clinical data which would help further improvements of traditional korean medical service in particular the Acupuncture and Moxibustion.

Methods:

We investigated population-social characteristics and annual utilization patterns of all patients who were hospitalized for more than 24 hours in a Korean Medical Hospital from January 2005 to December 2014. The obtained data were recorded in the EMR chart and statistical analysis was performed using SPSS 21.0. Additionally, data from the patients admitted to the department of Acupuncture and Moxibustion were analyzed separately.

Results:

  1. All inpatients had a significant annual difference in age, gender, hospitalized department, and disease code annually but not in re-hospitalization number. Inpatients of the department of Acupuncture and Moxibustion also varied in their age, gender, and disease code annually, but not in re-hospitalization number.

  2. Pearson correlation analysis on all inpatients showed that the mean days of hospital treatments had a negative correlation with all variables except medical care insurance. Total cost, cost per day per person and recuperation cost had a positive correlation with all variables except medical care insurance. There was no meaningful relationship between nonrecuperation cost and the variables.

  3. Stepwise multiple regression analysis on all inpatients showed that the mean days of hospital treatments had a negative correlation with all variables except automobile insurance. The total hospitalization costs had a positive correlation with both general insurance and medical care insurance. Cost per day per person and recuperation cost had a positive correlation with the females. There was no meaningful relationship between non-recuperation cost and the variables.

  4. Pearson correlation analysis on inpatients of the department of Acupuncture and Moxibustion inpatients showed that the mean days of hospital treatments had a positive correlation with all variables except general insurance and automobile insurance. Total cost and recuperation cost had a positive correlation with all variables except medical care insurance, and cost per day per person had a positive correlation with females and general insurance. There was no meaningful relationship between non-recuperation cost and the variables.

  5. Stepwise multiple regression analysis on inpatients of the department of Acupuncture and Moxibustion inpatients, the mean days of hospital treatments, total cost, cost per day per person and recuperation cost had a positive correlation with general insurance. There was no meaningful relationship between non-recuperation cost and the variables.

Conclusion:

Population-social characteristics of inpatients annually varies, and the change influences the utilization pattern.

Fig. 1

Graph of gender ratio for total and Acupuncture & Moxibustion inpatients by year

Fig. 2

Graph of age ratio for total and Acupuncture & Moxibustion inpatients by year

Fig. 3

Graph of department ratio for total inpatients by year

Fig. 4

Graph of disease code ratio for total inpatients by year

Fig. 5

Graph of disease code ratio for total inpatients by year

The Number of Inpatients by Year

Crossover Analysis of Gender and Year for Total Inpatients by Year

Crossover Analysis of Gender and Year for Acupuncture & Moxibustion Inpatients by Year

Crossover Analysis of Age and Year for Total Inpatients by Year

Crossover Analysis of Age and Year for Acupuncture & Moxibustion Inpatients by Year

Crossover Analysis of Department and Year for Total Inpatients by Year

Crossover Analysis of the Disease Code and Year for Total Inpatients by Year

Crossover Analysis of the Disease Code and Year for Acupuncture & Moxibustion Inpatients by Year

Correlation Analysis of Total Inpatients

Correlation Analysis of Acupuncture & Moxibustion Inpatients

Multiple Regression Analysis of the Mean Days of Hospital Treatments

Multiple Regression Analysis of Total Cost

Multiple Regression Analysis of Cost per Day per Person

Multiple Regression Analysis of Recuperation Cost

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Article information Continued

Fig. 1

Graph of gender ratio for total and Acupuncture & Moxibustion inpatients by year

Fig. 2

Graph of age ratio for total and Acupuncture & Moxibustion inpatients by year

Fig. 3

Graph of department ratio for total inpatients by year

Fig. 4

Graph of disease code ratio for total inpatients by year

Fig. 5

Graph of disease code ratio for total inpatients by year

Table 1

The Number of Inpatients by Year

YEAR Total inpatients Acupuncture & Moxibustion inpatients
2005 1,486 268
2006 1,749 336
2007 1,717 436
2008 1,838 456
2009 2,128 541
2010 2,789 629
2011 2,992 567
2012 3,084 597
2013 3,196 632
2014 3,274 561

Table 2

Crossover Analysis of Gender and Year for Total Inpatients by Year

Female Male Total X2
Year 2005 N 842 644 1486 135.769
% 56.7 43.3 100
2006 N 982 767 1749
% 56.1 43.9 100
2007 N 1021 696 1717
% 59.5 40.5 100
2008 N 1143 695 1838
% 62.2 37.8 100
2009 N 1356 772 2128
% 63.7 36.3 100
2010 N 1826 963 2789
% 65.5 34.5 100
2011 N 2009 983 2992
% 67.1 32.9 100
2012 N 2077 1007 3084
% 67.3 32.7 100
2013 N 2081 1115 3196
% 65.1 34.9 100
2014 N 2153 1121 3274
% 65.8 34.2 100

Total 15490 8763 24253
% 63.9 36.1 100
*

p<.05.

p<.01.

p<.001.

Table 3

Crossover Analysis of Gender and Year for Acupuncture & Moxibustion Inpatients by Year

Female Male Total X2
Year 2005 N 150 118 268 38.136
% 56 44 100
2006 N 170 166 336
% 50.6 49.4 100
2007 N 228 208 436
% 52.3 47.7 100
2008 N 246 210 456
% 53.9 46.1 100
2009 N 302 239 541
% 55.8 44.2 100
2010 N 382 247 629
% 60.7 39.3 100
2011 N 359 208 567
% 63.3 36.7 100
2012 N 367 230 597
% 61.5 38.5 100
2013 N 373 259 632
% 59 41 100
2014 N 360 201 561
% 64.2 35.8 100

Total 2937 2086 5023
% 58.5 41.5 100
*

p<.05.

p<.01.

p<.001.

Table 4

Crossover Analysis of Age and Year for Total Inpatients by Year

Age of 0–19 Age of 20–39 Age of 40–59 Over the Age of 60 Total X2
Year 2005 N 52 279 641 514 1486 327.184
% 3.5 18.8 43.1 34.6 100
2006 N 66 375 746 562 1749
% 3.8 21.4 42.7 32.1 100
2007 N 61 391 760 505 1717
% 3.6 22.8 44.3 29.3 100
2008 N 55 440 771 572 1838
% 3.1 23.9 41.9 31.1 100
2009 N 67 566 912 583 2128
% 3.1 26.6 42.9 27.4 100
2010 N 110 748 1236 695 2789
% 3.9 26.9 44.3 24.9 100
2011 N 124 757 1463 648 2992
% 4.1 25.3 48.9 21.7 100
2012 N 99 784 1598 603 3084
% 3.2 25.4 51.8 19.6 100
2013 N 93 853 1552 698 3196
% 2.9 26.7 48.6 21.8 100
2014 N 95 832 1619 728 3274
% 2.9 25.4 49.5 22.2 100

Total 822 6025 11298 6108 24253
% 3.4 24.8 46.6 25.2 100
*

p<.05.

p<.01.

p<.001.

Table 5

Crossover Analysis of Age and Year for Acupuncture & Moxibustion Inpatients by Year

Age of 0–19 Age of 20–39 Age of 40–59 Over the Age of 60 Total X2
Year 2005 N 14 72 81 101 268 132.111
% 5.2 26.9 30.2 37.7 100
2006 N 11 89 132 104 336
% 3.3 26.5 39.2 31 100
2007 N 11 132 178 115 436
% 2.5 30.3 40.8 26.4 100
2008 N 19 152 153 132 456
% 4.2 33.3 33.6 28.9 100
2009 N 20 183 212 126 541
% 3.7 33.8 39.2 23.3 100
2010 N 23 195 269 142 629
% 3.7 31 42.7 22.6 100
2011 N 18 156 275 118 567
% 3.2 27.5 48.5 20.8 100
2012 N 12 163 307 115 597
% 2 27.3 51.4 19.3 100
2013 N 21 158 327 126 632
% 3.3 25.1 51.7 19.9 100
2014 N 11 129 287 134 561
% 2 23 51.1 23.9 100

Total 160 1429 2221 1213 5023
% 3.2 28.4 44.2 24.2 100
*

p<.05.

p<.01.

p<.001.

Table 6

Crossover Analysis of Department and Year for Total Inpatients by Year

A B C D E Total X2
Year 2005 N 268 266 875 58 19 1486 788.919
% 18 17.9 58.9 3.9 1.3
2006 N 336 269 1002 60 44 1711
% 19.6 15.7 58.6 3.5 2.6
2007 N 436 253 958 51 29 1727
% 25.2 14.6 55.5 3 1.7
2008 N 456 299 1019 45 29 1848
% 24.7 16.2 55.1 2.4 1.6
2009 N 541 424 928 57 20 1970
% 27.5 21.5 47.1 2.9 1
2010 N 629 679 1304 29 22 2663
% 23.6 25.5 49 1.1 0.8
2011 N 495 812 1442 36 32 2817
% 17.6 28.8 51.2 1.3 1.1
2012 N 597 840 1420 59 26 2942
% 20.3 28.6 48.2 2 0.9
2013 N 632 976 1363 70 23 3064
% 20.6 31.9 44.4 2.3 0.8
2014 N 561 1109 1389 59 26 3144
% 17.8 35.3 44.2 1.9 0.8

Total 4951 5927 11700 524 270 23372
% 21.2 25.3 50.1 2.2 1.2
*

p<.05.

p<.01.

p<.001.

A: Department of Acupuncture & Moxibustion

B: Department of Rehabilitation Medicine

C: Department of Internal Medicine

D: Department of Gynecology

E: Department of Pediatrics

Table 7

Crossover Analysis of the Disease Code and Year for Total Inpatients by Year

C16 C34 C50 G51 I63 M51 S13 S33 Total X2
Year 2010 N 104 81 111 188 206 94 401 215 1400 206.962
% 7.4 5.8 7.9 13.4 14.7 6.7 28.6 15.4 100
2011 N 66 72 195 196 168 67 466 229 1459
% 4.5 4.9 13.4 13.4 11.5 4.6 31.9 15.7 100
2012 N 60 53 230 167 165 77 521 243 1516
% 4.0 3.5 15.2 11.0 10.9 5.1 34.4 16.0 100
2013 N 101 77 148 193 139 97 620 283 1658
% 6.1 4.6 8.9 11.6 8.4 5.9 37.4 17.1 100
2014 N 122 112 153 173 102 115 602 269 1648
% 7.4 6.8 9.3 10.5 6.2 7.0 36.5 16.3 100

Total 453 395 837 917 780 450 2610 1239 7681
% 5.9 5.1 10.9 11.9 10.2 5.9 34.0 16.1 100
*

p<.05.

p<.01.

p<.001.

Table 8

Crossover Analysis of the Disease Code and Year for Acupuncture & Moxibustion Inpatients by Year

G51 M51 M54 S13 S33 Total X2
Year 2010 N 167 66 49 44 93 419 57.410
% 39.9 15.8 11.7 10.5 22.2
2011 N 174 57 20 67 62 380
% 45.8 15.0 5.3 17.6 16.3
2012 N 148 71 23 71 86 399
% 37.1 17.8 5.8 17.8 21.6
2013 N 176 93 21 55 94 439
% 40.1 21.2 4.8 12.5 21.4
2014 N 148 102 32 47 79 408
% 36.3 25.0 7.8 11.5 19.4

Total 813 389 145 284 414 2045
% 39.8 19.0 7.1 13.9 20.2
*

p<.05.

p<.01.

p<.001.

Table 9

Correlation Analysis of Total Inpatients

1 2 3 4 5 6 7 8 9 10
1. The number of female patients 1
2. The number of male patients 0.869 1
3. The number of general insurance patients 0.982 0.793 1
4. The number of medical care insurance patients −0.545 −0.423 −0.514 1
5. The number of automobile insurance patients 0.954 0.939 0.882 −0.547 1
6. Mean days of hospital treatments −0.826 −0.852 −0.744* 0.661* −0.890 1
7. ln(Total cost) 0.976 0.802 0.994 −0.442 0.877 −0.720* 1
8. ln(Cost per day per person) 0.92 0.787 0.915 −0.567 0.852 −0.862 0.917 1
9 ln(Recuperation cost per day per person) 0.143 −0.113 0.264 −0.115 −0.064 0.202 0.242 0.047 1
10. ln(non-recuperation cost per day per person) 0.829 0.769 0.798 −0.490 0.812 −0.875 0.809 0.955 −0.244 1
*

p<.05.

p<.01.

p<.001.

Table 10

Correlation Analysis of Acupuncture & Moxibustion Inpatients

1 2 3 4 5 6 7 8 9 10
1. The number of female patients 1
2. The number of male patients .814 1
3. The number of general insurance patients .986 .883 1
4. The number of medical care insurance patients .368 .45 .405 1
5. The number of automobile insurance patients .664* .791 .662* .113 1
6. Mean days of hospital treatments .742* .745* .800 .037 .475 1
7. ln(Total cost) .933 .900 .963 .266 .701* .908 1
8. ln(Cost per day per person) .634* .54 .649* .023 .399 .880 .786 1
9. ln(Recuperation cost per day per person) −.284 −.317 −.266 −.237 −.406 .142 −.163 .345 1
10. ln(non-recuperation cost per day per person) .817 .797 .825 .218 .739* .689* .864 .596 −.544 1
*

p<.05.

p<.01.

p<.001.

Table 11

Multiple Regression Analysis of the Mean Days of Hospital Treatments

Dependent variable Independent variable Coefficient Model

B(s.e) β t R2 F
Total inpatients Mean days of hospital treatments The number of automobile insurance patients −.004 −.890 −5.531 .793 30.596

Acupuncture & Moxibustion inpatients Mean days of hospital treatments The number of general insurance patients .012 (.003) .800 3.775 .641 14.254
*

p<.05.

p<.01.

p<.001.

Table 12

Multiple Regression Analysis of Total Cost

Dependent variable Independent variable Coefficient Model

B(s.e) β t R2 F
Total inpatients ln(Total cost) The number of general insurance patients .001
−.001
1.042 31.658 .994 653.677
The number of medical care insurance patients .0007
−.00003
.094 2.856*

Acupuncture & Moxi-bustion inpatients ln(Total cost) The number of general insurance patients .004 (.001) .963 10.127 .928 102.557
*

p<.05.

p<.01.

p<.001.

Table 13

Multiple Regression Analysis of Cost per Day per Person

Dependent variable Independent variable Coefficient Model

B(s.e) β t R2 F
Total inpatients ln(Cost per day per person) The number of female patients .0001
−0.0001
.920 6.617 .846 47.780
Acupuncture & Moxibustion inpatients ln(Cost per day per person) The number of general insurance patients .0003
−0.0001
.649 2.415* .422 5.830*
*

p<.05.

p<.01.

p<.001.

Table 14

Multiple Regression Analysis of Recuperation Cost

Dependent variable Independent variable Coefficient Model

B(s.e) β t R2 F
Total inpatients ln(Recuperation cost per day per person) The number of female patients .0002
−.0001
.829 4.199 .688 17.635
Acupuncture & Moxibustion inpatients ln(Recuperation cost per day per person) The number of general insurance patients .001
−.0002
.825 4.125 .680 17.017
*

p<.05.

p<.01.

p<.001.