| Literature DB >> 33239002 |
Xiaomin Wang1, Dan Wu2, Ziming Xuan3, Weiyi Wang1, Xudong Zhou4.
Abstract
BACKGROUND: Antimicrobial resistance (AMR) is a serious global public health challenge. Physicians' over-prescription of antibiotics is a major contributor, and intravenous (IV) antibiotic use has been a particular concern in China. To address the rapid fallout of antibiotic overuse, the Chinese government has piloted a ban of IV antibiotics in the outpatient department (OD) with the exemption of paediatrics, emergency department (ED), and inpatient ward of secondary and tertiary hospitals in several provinces.Entities:
Keywords: Antimicrobial resistance; Antimicrobial stewardship; China; Intravenous antibiotic use
Mesh:
Substances:
Year: 2020 PMID: 33239002 PMCID: PMC7690204 DOI: 10.1186/s12889-020-09948-z
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Changes of antibiotic prescribing behaviors in the case study hospital (thousand)
| Before ( | After ( | χ2 | ||
|---|---|---|---|---|
| Total antibiotic prescription (ratea) | 145 (19.9) | 128 (17.8) | 1015 | < 0.001 |
| IV antibiotic prescription (rateb) | 62 (8.6) | 34 (4.7) | 8473 | < 0.001 |
| Oral antibiotic prescription (ratec) | 84 (11.6) | 95 (13.2) | 844.3 | < 0.001 |
| ( | ( | |||
| Classified antibiotic use rate d | ||||
| Non-restricted | 94 (65.4) | 90 (70.1) | 706.1 | < 0.001 |
| Restricted | 57 (39.8) | 41 (32.5) | 1558 | < 0.001 |
| Special | 3 (2.4) | 0.1 (0.1) | 2655 | < 0.001 |
| Antibiotic combination therapy e | 25 (17.7) | 14 (11.3) | 2231 | < 0.001 |
aTotal antibiotic prescription rate = the number of antibiotic prescriptions/total number of prescriptions;
bIV antibiotic prescription rate = the number of IV antibiotic prescriptions/total number of prescriptions;
cOral antibiotic prescription rate = the number of oral antibiotic prescriptions/total number of prescriptions;
dClassified antibiotic use rate = the number of classified-grade antibiotic prescriptions/total number of antibiotic prescriptions;
eAntibiotic combination therapy = the number of prescriptions with two or more antibiotic/total number of antibiotic prescriptions
Fig. 1Patient flow after the ban in OD
Flow of patients in the OD after the ban
| Often n(%) | Sometimes n(%) | Occasionally n(%) | Never n(%) | |
|---|---|---|---|---|
| After the ban implementation, how often did you see patients who did not need IV antibiotics but demanded one in the OD from you? | 37 (20.8) | 75 (42.1) | 59 (33.1) | 7 (3.9) |
| After the ban implementation, how often did you see patients who demanded IV antibiotics in the OD from you and you referred him or her to the ED in the hospital? | 23 (12.9) | 71 (39.9) | 55 (30.9) | 29 (16.3) |
| After the ban implementation, how often did you see patients who demanded IV antibiotics in the OD from and you referred him or her to the primary care? | 14 (7.9) | 48 (27.0) | 46 (25.8) | 70 (39.3) |
| After the ban implementation, how often did you see patients who demanded IV antibiotics in the OD from you and you referred him or her to an inpatient ward in the hospital? | 1 (0.6) | 41 (23.0) | 44 (24.7) | 92 (51.7) |
| Often | Sometimes | Occasionally | Never | |
| After the ban implementation, how often did you see patients who were referred by other doctors from OD to ED only to get an IV antibiotics prescription? | 44 (38.9) | 47 (41.6) | 20 (17.7) | 2 (1.8) |
| After the ban implementation, how often did you see patients who visited ED for the purpose of getting an IV antibiotics prescription? | 47 (41.6) | 46 (40.7) | 16 (14.2) | 4 (3.5) |
Socio-demographic profile of the respondents
| Qualitative study (Phase 1) ( | Case study (Phase 2) ( | |||
|---|---|---|---|---|
| Policymakers | Health workers | Patients | ||
| Gender | ||||
| Male | 3 (75.0) | 29 (60.4) | 9 (56.3) | 125 (60.4) |
| Female | 1 (25.0) | 19 (39.6) | 7 (43.7) | 82 (39.6) |
| Age | ||||
| Mean (SD) | 40.6 (10.3) | 36.0 (6.7) | 49.9 (14.3) | 39.8 (8.5) |
| Education level | ||||
| Junior College | 0 | 5 (10.4) | ||
| Bachelor’s degree | 4 (100.0) | 40 (83.3) | 179 (86.5) | |
| Master’s degree and above | 0 | 3 (6.3) | 28 (13.5) | |
| Participants | ||||
| Outpatient doctor | 20 (41.7) | |||
| Emergency doctor | 20 (41.7) | |||
| Nurse | 8 (16.7) | |||
| Working experiences before the ban implementation | ||||
| Both OD and ED | 84 (40.6) | |||
| Only OD | 94 (45.4) | |||
| Only ED | 29 (14.0) | |||