METHODS: This qualitative study was multi-centered and used a phenomenological approach. Semi-structured interviews were conducted between December 2022 and January 2023 among 11 health commissioners using video calls.
RESULTS: Seven themes emerged from the data, including knowledge of AR and its consequences, the antibiotic prescription system, the future of AR and potential contributory factors, the impact of COVID-19 on AR and their relationship, the experience of AR during the COVID-19 pandemic in healthcare facilities, barriers that prevent the misuse of antibiotics during pandemics, and recommendations regarding antibiotic resistance during pandemics.
CONCLUSION: The findings of this study could be used to inform policy and practice for government healthcare workers (HCWs) and the public. Furthermore, this study identified the main challenges of AR during the pandemic, and the recommendations of health commissioners were provided accordingly. Such recommendations could be beneficial on a national and international scale to reduce the impact of future pandemics on AR.
ABBREVIATIONS: COVID-19: Novel coronavirus disease 2019; AR: Antibiotic Resistance; IPC: Infection prevention and control; MDRO: multi-drug resistant organism; ASP: Antimicrobial Stewardship Program; HCW: Healthcare worker; KSA: Kingdom of Saudi Arabia; WHO: World Health Organization; MOH: Ministry of Health; MOEWA: Ministry of Environment, Water, and Agriculture; AMR: Antimicrobial Resistance; PHCC: Primary Healthcare Center.
METHODOLOGY: A retrospective cross-sectional study was employed to identify patients with positive AR bacteria between March 2019 and March 2022. The bacterial isolates and patients' data were identified from laboratory and medical records departments retrospectively. Binary logistic regression analysis was performed to identify the factors associated with AR and deaths. Multinominal logistic regression was applied to confirm the factors associated with AR classification.
RESULTS: AR Gram-negative bacteria decreased during and after the pandemic. However, S. aureus showed a negligible increase in resistance rate after pandemic, while E. faecium, recorded a higher-than-average resistance rate during the pandemic. The prevalence of pan drug resistance (PDR) during the pandemic (85.7%) was higher than before (0%) and after (14.3%), p = 0.001. The length of stay and time were significant predictors for AR classification. The odds of multi drug resistance (MDR) development to PDR during the pandemic were 6 times higher than before and after (OR = 6.133, CI =, p = 0.020). Age, nationality, COVID-19 infection, smoking, liver disease, and type and number of bacteria were associated with death of patients with positive AR.
CONCLUSIONS: Further studies are recommended to explore the prevalence of PDR and to justify the increased rates of E. faecium AR during the COVID-19 pandemic.