| Literature DB >> 34601183 |
Vu Thi Lan Huong1, Ta Thi Dieu Ngan2, Huynh Phuong Thao3, Nguyen Thi Cam Tu4, Truong Anh Quan4, Behzad Nadjm5, Thomas Kesteman4, Nguyen Van Kinh2, H Rogier van Doorn6.
Abstract
OBJECTIVES: This study aimed to analyse the current state of antimicrobial stewardship (AMS) in hospitals in Viet Nam, a lower-middle income country (LMIC), to identify factors determining success in AMS implementation and associated challenges to inform planning and design of future programmes.Entities:
Keywords: Antimicrobial prescribing; Antimicrobial resistance; Antimicrobial stewardship; Low- and middle-income countries; Viet Nam
Mesh:
Substances:
Year: 2021 PMID: 34601183 PMCID: PMC8692234 DOI: 10.1016/j.jgar.2021.09.006
Source DB: PubMed Journal: J Glob Antimicrob Resist ISSN: 2213-7165 Impact factor: 4.035
Summary of hospitals and qualitative data collection methods participating in the study
| Hospital type | Bed capacity | Group | Method | Participating departments | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ED | ICD | ICU | IDD | IMD | MIL | OPD | PHD | PED | SUD | ||||
| National, specialised | <1000 | 2 | 2 IDIs, 1 FGD | x | x | x | x | x | x | ||||
| Provincial, specialised | <1000 | 2 | 13 IDIs | x | x | x | x | x | x | x | |||
| National, general | >2000 | 2 | 13 IDIs | x | x | x | x | x | x | ||||
| Provincial, general | 2000 | 1 | 12 IDIs | x | x | x | x | x | x | ||||
| National, general | 1000 | 1 | 2 FGDs | x | x | x | x | x | x | ||||
| Provincial, general | >2000 | 1 | 2 FGDs | x | x | x | x | x | |||||
| Provincial, general | 1000 | 1 | 2 FGDs | x | x | x | x | x | x | x | |||
ED, emergency department; FGD, focus group discussion; ICD, infection control department; ICU, intensive care unit; IDD, infectious diseases department; IDI, in-depth interview; IMD, internal medicine department; MIL, microbiology laboratory; OPD, outpatient department; PED, paediatric department; PHD, pharmacy department; SUD, surgical department.
Fig. 1Summary of main actors influencing doctors’ prescribing practices for antimicrobial drugs and implementation of antimicrobial stewardship (AMS) programmes in the study hospitals. Solid arrows indicate direct influence, and dotted arrows indicate participating in the AMS team.
Fig. 2Frequency of the main themes regarding antibiotic prescribing and antimicrobial stewardship (AMS) implementation discussed by the participants in two hospital groups. Bars represent the number of times each theme emerged in the transcripts, with each scale interval corresponding to a frequency of 50. AMR, antimicrobial resistance; PAF, prospective audit and feedback to prescribers.
Summary of implementation status and representative quotes about key activities as part of the antimicrobial stewardship (AMS) programme in the studied hospitals
| Activity | Summary | Representative quotes |
|---|---|---|
| Guidelines | Two specialised hospitals (Group 2) developed and regularly updated antimicrobial treatment guidelines based on local microbiological evidence and integrating risk stratifications for infection with multidrug-resistant organisms and hospital-acquired infections. These guidelines were available also in a mobile app and handbook, and in one hospital integrated into the hospital information system. In other hospitals, doctors used the national guideline and guidelines from nationally recognised hospitals. The national guideline was criticised for a lack of details for specific clinical conditions | “ |
| Education activity | At one hospital with active implementation, at the beginning of the programme, some key AMS staff were sent for international training on stewardship in Taiwan. At this hospital, training on hospital-specific antimicrobial treatment guidelines was provided to staff regularly to increase awareness and compliance. For other hospitals, staff only attended ad hoc workshops and training on related topics organised by external partners including pharmaceutical companies | “ |
| Building IT and data capacity for AMS activities | There was a lack of IT capacity to support AMS activities in all hospitals, except for the hospital with the most active programme. | “ |
| Pre-authorisation | This process was accomplished by the treating doctor calling for a higher-level consultation (department level or hospital level) and seeking approval prior to use for treatment with restricted antibiotics by head of the clinical department, clinical pharmacist (if available), head of pharmacy and director board representative. However, there were shortcuts in the procedure and restricted drugs were still used before consultations and approval | “ |
| Audit and feedback | Review of antimicrobial prescriptions was done prospectively or retrospectively at three hospitals. Review results were summarised in reports and communicated back to head of reviewed departments in hospital-wide or departmental meetings. Prospective review was conducted most rigorously at an infectious diseases hospital, and at this hospital advice from the AMS team for the prescribers was easily accessible to the prescribing doctors. Prospective review was also partially adopted at one national general hospital at a few clinical wards but was limited due to lack of staff capacity | “ |
| Documentation of treatment | All treatment plans including antibiotic treatment for each patient were to be specified on a daily basis following the MoH documentation format. Doctors usually document the drugs and reasons for using the selected treatment, but not the planned date for review or stop. The frequency of reviewing treatment plans by doctors depended on clinical severity: around 24 h for severe patients and 2–3 days for non-severe patients | “ |
| Monitoring and reporting | Microbiology and pharmacy department made summary reports annually or every 6 months to the management board and for the MoH. These were usually fed-back to heads of departments through emails but not directly to individual prescribers. Appropriateness of prescriptions was not monitored regularly in five hospitals. | “ |
AMR, antimicrobial resistance; AST, antimicrobial susceptibility testing; FGD, focus group discussion; ICU, intensive care unit; IDI, in-depth interview; IT, information technology; MoH, Ministry of Health Viet Nam.
Fig. 3Staff perceptions about antimicrobial resistance (AMR), antimicrobial prescribing and antimicrobial stewardship (AMS) at their hospital. MDRO, multidrug-resistant organisms.
Factors associated with the amount of divergence in staff's perceived proportion of resistance in comparison with reported proportion of resistance from the surveillance data; results from a multivariable mixed-effects model for perceived resistant proportions of all bacteria–antibiotic combinations
| Factor | Mean (95% CI) group value (%) | Model coefficient | |
|---|---|---|---|
| Study group | |||
| Group 1 | 26.21 (24.22–28.20) | Ref. | |
| Group 2 | 22.60 (19.79–25.41) | –1.41 | 0.88 |
| Age of participants | – | –0.18 | 0.72 |
| Bacteria–antibiotic combination | |||
| | 29.77 (24.80–34.74) | Ref. | |
| | 17.24 (13.72–20.75) | –13.17 | 0.00052 |
| | 23.01 (19.13–26.89) | –6.91 | 0.070 |
| | 26.91 (22.67–31.16) | –3.91 | 0.30 |
| | 22.40 (17.18–27.62) | –6.77 | 0.080 |
| | 26.63 (22.32–30.94) | –1.22 | 0.75 |
| | 31.39 (25.08–37.71) | 4.81 | 0.20 |
| Methicillin-resistant | 29.26 (24.43–34.08) | 0.79 | 0.84 |
| Vancomycin-resistant enterococci | 17.03 (11.94–22.12) | –16.46 | <0.0001 |
| Years of work at the hospital | |||
| >20 years | 19.05 (14.54–23.56) | Ref. | |
| 16–20 years | 27.23 (23.43–31.03) | 8.62 | 0.37 |
| 11–15 years | 25.52 (21.61–29.43) | 14.95 | 0.19 |
| 6–10 years | 24.54 (21.84–27.24) | 10.01 | 0.36 |
| 1–5 years | 22.39 (18.71–26.06) | 8.52 | 0.54 |
| <1 year | 35.78 (25.77–45.79) | 18.06 | 0.26 |
| Department | |||
| ICU | 24.85 (21.91–27.79) | Ref. | |
| Internal medicine | 27.94 (24.94–30.94) | 5.20 | 0.21 |
| Surgery | 36.38 (29.53–43.23) | 17.88 | 0.09 |
| Microbiology | 17.87 (14.34–21.40) | –6.55 | 0.23 |
| Pharmacy | 18.51 (13.63–23.39) | –9.54 | 0.21 |
| Others | 22.59 (18.11–27.07) | 0.06 | 0.99 |
CI, confidence interval; ICU, intensive care unit.
NOTE: Linear mixed model was fit using the lmer function in lmerTest package in R program v.4.0.0.
Mean group value represents the amount of divergence in staff's perceived proportion of resistance in comparison with the reported proportion of resistance from the surveillance data.
Model coefficient represents the difference in the amount of divergence between the group of interest in comparison with the reference group under each factor.
For every year increase in age.