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Table 2 Antibiotic prescriptions and associated factors in primary care

From: Intrinsic and external determinants of antibiotic prescribing: a multi-level path analysis of primary care prescriptions in Hubei, China

 

Overall

UCHCs

RTHs

p *

Antibiotic prescribing practices of individual physicians (Mean ± SD )

 Percentage of prescriptions containing antibiotics (%)

41.45 ± 20.13

39.55 ± 23.35

41.97 ± 19.15

0.066

 Percentage of prescriptions containing two or more antibiotics (%)

10.23 ± 10.53

7.00 ± 9.82

11.12 ± 10.56

< 0.001

Number (%) of correct answers to antibiotic prescribing knowledge

 K1: Non-febrile diarrhea

475 (95.19)

102 (94.44)

373 (95.40)

0.682

 K2: Upper respiratory tract infections

25 (5.01)

3 (2.78)

22 (5.63)

0.320

 K3: Renal failure

56 (11.22)

8 (7.41)

48 (12.28)

0.156

 K4: Pregnant patients

482 (96.59)

104 (96.30)

378 (96.68)

0.770

 K5: Anaerobes

485 (97.19)

108 (100.00)

377 (96.42)

0.048

 K6: Methicillin resistant staphylococcus

145 (29.06)

35 (32.41)

110 (28.13)

0.386

 K7: Crossing the blood-brain barrier

206 (41.28)

50 (46.30)

156 (39.90)

0.232

 K8: Bacterial pneumonia

232 (46.49)

56 (51.85)

176 (45.01)

0.207

 K9: Reducing complications of upper respiratory tract infections

263 (52.71)

56 (51.85)

207 (52.94)

0.841

 K10: Administration of Aminoglycosides

305 (61.12)

69 (63.89)

236 (60.36)

0.505

 K11: Standards of antibiotic use in primary cares

375 (75.15)

93 (86.11)

282 (72.12)

0.003

 Summed knowledge score (Mean ± SD)

6.11 ± 1.46

6.33 ± 1.42

6.04 ± 1.46

0.073

Score of attitudes toward rational antibiotic prescribing (Mean ± SD)

 A1: Antibiotic resistance is a major public health problem in my setting

3.02 ± 0.90

2.79 ± 1.01

3.09 ± 0.86

0.006

 A2: It is useful to wait for a microbiology result when treating infections

3.34 ± 0.60

3.34 ± 0.66

3.34 ± 0.59

0.710

 A3: One antibiotic prescription does not influence the development of AR

3.04 ± 0.82

2.98 ± 0.96

3.06 ± 0.78

0.781

 A4: New antibiotics will be created to solve AR problems

1.54 ± 0.94

1.74 ± 1.07

1.48 ± 0.89

0.017

 A5: The use of antibiotics in animals is a major cause of AR

2.60 ± 0.91

2.71 ± 0.81

2.57 ± 0.94

0.219

 A6: Broad-spectrum antibiotics are preferred for infections in doubt

1.99 ± 1.02

2.22 ± 1.02

1.92 ± 1.01

0.007

 A7: Antibiotics are often prescribed for patients untrackable

2.89 ± 0.96

3.05 ± 0.95

2.85 ± 0.96

0.035

 A8: It is best to prescribe antibiotics if bacterial infections are uncertain

2.87 ± 0.83

3.01 ± 0.80

2.83 ± 0.84

0.042

 A9: Antibiotics are often prescribed due to patient demands

2.86 ± 0.91

2.77 ± 0.88

2.88 ± 0.92

0.161

 A10: Patients will get antibiotics from a pharmacy even without my prescriptions

1.19 ± 0.94

1.19 ± 0.96

1.20 ± 0.93

0.938

 A11: Amoxicillin is effective for most respiratory infections in primary care

2.22 ± 1.01

2.25 ± 1.05

2.21 ± 1.00

0.737

 Summed attitudes score

27.56 ± 3.46

28.05 ± 3.52

27.42 ± 3.43

0.097

Perceived patient pressure (Mean ± SD)

 Percentage of patients expecting antibiotics

54.91 ± 22.59

50.23 ± 21.48

56.20 ± 22.75

0.001

 Degree of impacts of patient expectation on antibiotic prescribing

43.34 ± 26.41

40.74 ± 25.48

44.05 ± 26.64

0.204

 Total score of perceived patient pressure for antibiotics

25.63 ± 21.41

22.22 ± 21.40

26.57 ± 21.47

0.026

Time pressure (Mean ± SD)

 Length of consultant per visit (Minutes)

10.58 ± 6.47

12.00 ± 6.91

10.18 ± 6.30

0.007

  1. *Chi-square (fisher exact) tests for binary variables, Wilcoxon rank-sum tests for continuous variable without normal distribution and t tests for continuous variable with normal distribution; Boldface figures indicate the significant differences between physicians in UCHCs and those in RTHs