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Table 4 Appropriateness of antibiotic prescriptions

From: Prescriptions patterns and appropriateness of usage of antibiotics in non-teaching community hospitals in South Korea: a multicentre retrospective study

  Long-term care hospitals
(N = 384)
Acute care hospitals
(N = 185)
P-value All hospitals
(N = 569)
Route of administration (%)    0.562  
 Appropriate 374 (97.4) 182 (98.4)   556 (97.7)
 Inappropriate 10 (2.6) 3 (1.6)   13 (2.3)
Dose (%)     < 0.001  
 Optimal 112 (29.2) 139 (75.1)   251 (44.1)
 Suboptimal: excessively high dose 32 (8.3) 2 (1.1)   34 (6.0)
 Inappropriate: excessively low dose 62 (16.1) 25 (13.5)   87 (15.3)
 N/A 178 (46.4) 19 (10.3)   197 (34.6)
Antibiotic choice (%)
 Antibiotics for the treatment of infectious diseases    0.034  
  Optimal 146/370 (39.5)1 82/155 (52.9)   228/525 (43.4)1
  Suboptimal 60/370 (16.2)1 16/155 (10.3)   76/525 (14.5)1
  Inappropriate 129/370 (34.9)1 44/155 (28.4)   173/525 (33.0)1
  N/A 35/370 (9.5)1 13/155 (8.4)   48/525 (9.1)1
Antibiotics for the prophylaxis of surgical site infection    0.579  
  Appropriate 1/3 (33.3) 17/30 (56.7)   18/33 (54.5)
  Inappropriate 2/3 (66.7) 13/30 (43.3)   15/33 (45.5)
Antibiotics for other or unknown reasons    
  Appropriate 0 0   0
  Inappropriate 10/10 (100) 10/10 (100)   10/10 (100)
Appropriateness of antibiotic prescription, by each antibiotic (%)     < 0.001  
  Optimal 49/384 (12.8) 76/185 (41.1)   125/569 (22.0)
  Suboptimal 29/384 (7.6) 12/185 (6.5)   41/569 (7.2)
  Inappropriate 109/384 (28.4) 65/185 (35.1)   174/569 (30.6)
  N/A 197/384 (51.3) 32/185 (17.3)   229/569 (40.2)
Appropriateness of antibiotic prescription, by each patient (%)     < 0.001  
  Optimal 29/272 (10.7) 57/150 (38.0)   86/422 (20.4)
  Suboptimal: one or more antibiotics were suboptimal 26/272 (9.6) 9/150 (6.0)   35/422 (8.3)
  Suboptimal: unnecessary combination therapy 1/272 (0.4) 4/150 (2.7)   5/422 (1.2)
  Inappropriate 85/272 (31.3) 50/150 (33.3)   135/422 (32.0)
  N/A 131/272 (48.2) 30/150 (20.0)   161/422 (38.2)
  1. 1One case was excluded because the data was insufficient