Journal of Shanghai Jiao Tong University (Medical Science) ›› 2023, Vol. 43 ›› Issue (1): 88-94.doi: 10.3969/j.issn.1674-8115.2023.01.011
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WEI Shan(), JI Ouyang, CHEN Zhihao, HUANG Zehui, LI Pu, FANG Junyan, LIU Yingli()
Received:
2022-03-15
Accepted:
2022-12-20
Online:
2023-01-28
Published:
2023-01-28
Contact:
LIU Yingli
E-mail:18252431312@163.com;18616375719@163.com
Supported by:
CLC Number:
WEI Shan, JI Ouyang, CHEN Zhihao, HUANG Zehui, LI Pu, FANG Junyan, LIU Yingli. A prevalence study on knowledge, attitude, belief and practice of safe medication and analysis of related factors in dialysis patients[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(1): 88-94.
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URL: https://xuebao.shsmu.edu.cn/EN/10.3969/j.issn.1674-8115.2023.01.011
Indicator | n (%) | Score/ point | t/F value | P value |
---|---|---|---|---|
Age/year | -0.336 | 0.737 | ||
18‒59 | 83 (44.39) | 77.17±17.97 | ||
≥60 | 104 (55.61) | 78.09±19.04 | ||
Gender | -0.785 | 0.433 | ||
Male | 120 (64.17) | 76.88±18.27 | ||
Female | 67 (35.83) | 79.10±19.04 | ||
Marital status | -0.920 | 0.359 | ||
Unmarried/divorced/widowed | 26 (13.90) | 74.58±16.97 | ||
Married | 161 (86.10) | 78.18±18.77 | ||
Residence status | 0.792 | 0.430 | ||
Living with partner | 138 (73.80) | 78.32±18.89 | ||
Living with kids or parents | 49 (26.20) | 75.88±17.54 | ||
Education level | 4.446 | 0.013 | ||
Primary education | 29 (15.51) | 72.88±25.05 | ||
Secondary education | 118 (63.10) | 76.41±16.99 | ||
Higher education | 40 (21.39) | 84.90±15.67 | ||
Per capita monthly family income | 10.899 | 0.000 | ||
<3 000 yuan | 42 (22.46) | 73.74±17.84 | ||
3 000‒6 000 yuan | 78 (41.71) | 72.90±17.80 | ||
>6 000 yuan | 67 (35.83) | 85.72±17.25 | ||
Insurance | -2.030 | 0.056 | ||
Social medical insurance | 174(93.05) | 76.90±18.29 | ||
Others | 13(6.95) | 87.15±19.30 |
Indicator | n (%) | Score/ point | t/F value | P value |
---|---|---|---|---|
Age/year | -0.336 | 0.737 | ||
18‒59 | 83 (44.39) | 77.17±17.97 | ||
≥60 | 104 (55.61) | 78.09±19.04 | ||
Gender | -0.785 | 0.433 | ||
Male | 120 (64.17) | 76.88±18.27 | ||
Female | 67 (35.83) | 79.10±19.04 | ||
Marital status | -0.920 | 0.359 | ||
Unmarried/divorced/widowed | 26 (13.90) | 74.58±16.97 | ||
Married | 161 (86.10) | 78.18±18.77 | ||
Residence status | 0.792 | 0.430 | ||
Living with partner | 138 (73.80) | 78.32±18.89 | ||
Living with kids or parents | 49 (26.20) | 75.88±17.54 | ||
Education level | 4.446 | 0.013 | ||
Primary education | 29 (15.51) | 72.88±25.05 | ||
Secondary education | 118 (63.10) | 76.41±16.99 | ||
Higher education | 40 (21.39) | 84.90±15.67 | ||
Per capita monthly family income | 10.899 | 0.000 | ||
<3 000 yuan | 42 (22.46) | 73.74±17.84 | ||
3 000‒6 000 yuan | 78 (41.71) | 72.90±17.80 | ||
>6 000 yuan | 67 (35.83) | 85.72±17.25 | ||
Insurance | -2.030 | 0.056 | ||
Social medical insurance | 174(93.05) | 76.90±18.29 | ||
Others | 13(6.95) | 87.15±19.30 |
Indicator | n (%) | Score/ point | t/F value | P value |
---|---|---|---|---|
Dialysis pattern | -4.512 | 0.000 | ||
MHD | 103 (55.08) | 72.26±14.61 | ||
CAPD | 84 (44.92) | 83.32±20.64 | ||
Dialysis age/month | 0.748 | 0.475 | ||
<12 | 31 (16.58) | 80.42±19.32 | ||
12‒24 | 26 (13.90) | 79.88±21.74 | ||
>24 | 130 (69.52) | 76.58±17.68 | ||
Renal anemia | 2.021 | 0.045 | ||
No | 18 (9.63) | 86.00±20.97 | ||
Yes | 169 (90.37) | 76.79±18.09 | ||
Renal osteodystrophy | 1.440 | 0.152 | ||
No | 24 (12.83) | 82.75±22.04 | ||
Yes | 163 (87.17) | 76.93±17.91 | ||
Hypertension | 0.017 | 0.987 | ||
No | 23 (12.30) | 77.74±17.56 | ||
Yes | 164 (87.70) | 77.67±18.71 | ||
Coronary heart disease | 1.178 | 0.240 | ||
No | 99 (52.94) | 79.18±19.38 | ||
Yes | 88 (47.06) | 75.99±17.48 | ||
Diabetes mellitus | -0.726 | 0.469 | ||
No | 134 (71.66) | 77.06±17.86 | ||
Yes | 53 (28.34) | 79.25±20.21 |
Tab 2 Clinical characteristics analysis of KAP scores for safe medication in the maintenance dialysis patients
Indicator | n (%) | Score/ point | t/F value | P value |
---|---|---|---|---|
Dialysis pattern | -4.512 | 0.000 | ||
MHD | 103 (55.08) | 72.26±14.61 | ||
CAPD | 84 (44.92) | 83.32±20.64 | ||
Dialysis age/month | 0.748 | 0.475 | ||
<12 | 31 (16.58) | 80.42±19.32 | ||
12‒24 | 26 (13.90) | 79.88±21.74 | ||
>24 | 130 (69.52) | 76.58±17.68 | ||
Renal anemia | 2.021 | 0.045 | ||
No | 18 (9.63) | 86.00±20.97 | ||
Yes | 169 (90.37) | 76.79±18.09 | ||
Renal osteodystrophy | 1.440 | 0.152 | ||
No | 24 (12.83) | 82.75±22.04 | ||
Yes | 163 (87.17) | 76.93±17.91 | ||
Hypertension | 0.017 | 0.987 | ||
No | 23 (12.30) | 77.74±17.56 | ||
Yes | 164 (87.70) | 77.67±18.71 | ||
Coronary heart disease | 1.178 | 0.240 | ||
No | 99 (52.94) | 79.18±19.38 | ||
Yes | 88 (47.06) | 75.99±17.48 | ||
Diabetes mellitus | -0.726 | 0.469 | ||
No | 134 (71.66) | 77.06±17.86 | ||
Yes | 53 (28.34) | 79.25±20.21 |
Variable | Value/n | Partial regression coefficient | Standardized regression coefficient | t value | P value |
---|---|---|---|---|---|
Number of comorbidities | 6.37±2.17 | -2.378 | -2.278 | -3.939 | 0.000 |
Number of medications | 7.48±2.66 | 0.233 | 0.033 | 0.454 | 0.650 |
Number of oral tablets | 17.30±9.37 | 0.102 | 0.052 | 0.703 | 0.483 |
Number of medications for regulating calcium and phosphorus metabolism | 1.94±1.23 | -2.227 | -0.148 | -2.040 | 0.043 |
Number of anemic medications | 1.04±0.65 | 0.117 | 0.004 | 0.055 | 0.956 |
Number of MRPs | 3.10±1.49 | -4.011 | -0.323 | -4.636 | 0.000 |
Tab 3 Univariable linear regression analysis of KAP scores for safe medication in the maintenance dialysis patients
Variable | Value/n | Partial regression coefficient | Standardized regression coefficient | t value | P value |
---|---|---|---|---|---|
Number of comorbidities | 6.37±2.17 | -2.378 | -2.278 | -3.939 | 0.000 |
Number of medications | 7.48±2.66 | 0.233 | 0.033 | 0.454 | 0.650 |
Number of oral tablets | 17.30±9.37 | 0.102 | 0.052 | 0.703 | 0.483 |
Number of medications for regulating calcium and phosphorus metabolism | 1.94±1.23 | -2.227 | -0.148 | -2.040 | 0.043 |
Number of anemic medications | 1.04±0.65 | 0.117 | 0.004 | 0.055 | 0.956 |
Number of MRPs | 3.10±1.49 | -4.011 | -0.323 | -4.636 | 0.000 |
Variable | Assignment |
---|---|
Dialysis pattern | MHD=0; CAPD=1 |
Education level | Primary education=0,0,0; secondary education=0,1,0; higher education=0,0,1 |
Economic level | Per capita monthly family income <3 000 yuan=0,0,0; 3 000‒6 000 yuan=0,1,0;>6 000 yuan=0,0,1 |
Number of comorbidities | Actual value |
Renal anemia | No=0; Yes=1 |
Number of medications for regulating calcium and phosphorus metabolism | Actual value |
Number of MRPs | Actual value |
Tab 4 Assignment of independent variables of multiple linear regression analysis
Variable | Assignment |
---|---|
Dialysis pattern | MHD=0; CAPD=1 |
Education level | Primary education=0,0,0; secondary education=0,1,0; higher education=0,0,1 |
Economic level | Per capita monthly family income <3 000 yuan=0,0,0; 3 000‒6 000 yuan=0,1,0;>6 000 yuan=0,0,1 |
Number of comorbidities | Actual value |
Renal anemia | No=0; Yes=1 |
Number of medications for regulating calcium and phosphorus metabolism | Actual value |
Number of MRPs | Actual value |
Variable | Partial regression coefficient (β) | 95%CI | Standardized regression coefficient (β′) | t value | P value | |
---|---|---|---|---|---|---|
Lower limit | Upper limit | |||||
Dialysis pattern | ||||||
CAPD | 8.391 | 3.436 | 13.347 | 0.226 | 3.342 | 0.001 |
Education level | ||||||
Secondary education | 3.086 | ‒3.501 | 9.673 | 0.081 | 0.924 | 0.356 |
Higher education | 9.159 | 0.978 | 17.339 | 0.203 | 2.209 | 0.028 |
Economic level | ||||||
3 000‒6 000 yuan | -1.392 | -7.503 | 4.719 | -0.037 | -0.450 | 0.654 |
>6 000 yuan | 8.309 | 1.891 | 14.727 | 0.216 | 2.555 | 0.011 |
Number of comorbidities | -1.582 | -2.783 | -0.382 | -0.185 | -2.601 | 0.010 |
Renal anemia | -0.571 | -8.993 | 7.851 | -0.009 | -0.134 | 0.894 |
Number of medications for regulating calcium and phosphorus metabolism | 0.434 | -1.697 | 2.566 | 0.029 | 0.402 | 0.688 |
Number of MRPs | -2.284 | -3.987 | -0.581 | -0.184 | -2.647 | 0.009 |
Tab 5 Multivariable linear regression analysis of the KAP score of safe medication in maintenance dialysis patients
Variable | Partial regression coefficient (β) | 95%CI | Standardized regression coefficient (β′) | t value | P value | |
---|---|---|---|---|---|---|
Lower limit | Upper limit | |||||
Dialysis pattern | ||||||
CAPD | 8.391 | 3.436 | 13.347 | 0.226 | 3.342 | 0.001 |
Education level | ||||||
Secondary education | 3.086 | ‒3.501 | 9.673 | 0.081 | 0.924 | 0.356 |
Higher education | 9.159 | 0.978 | 17.339 | 0.203 | 2.209 | 0.028 |
Economic level | ||||||
3 000‒6 000 yuan | -1.392 | -7.503 | 4.719 | -0.037 | -0.450 | 0.654 |
>6 000 yuan | 8.309 | 1.891 | 14.727 | 0.216 | 2.555 | 0.011 |
Number of comorbidities | -1.582 | -2.783 | -0.382 | -0.185 | -2.601 | 0.010 |
Renal anemia | -0.571 | -8.993 | 7.851 | -0.009 | -0.134 | 0.894 |
Number of medications for regulating calcium and phosphorus metabolism | 0.434 | -1.697 | 2.566 | 0.029 | 0.402 | 0.688 |
Number of MRPs | -2.284 | -3.987 | -0.581 | -0.184 | -2.647 | 0.009 |
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