Background Actionable data on antimicrobial use is important when planning strategic interventions such as antimicrobial stewardship to address the challenge of drug resistance, particularly in resource-constrained settings. Objectives To assess the prevalence of antibiotic use, the pattern of commonly used antibiotics and patient factors that may be associated with the increased use of antibiotics in the study hospitals. Methods This was a cross-sectional study conducted using the WHO Methodology for Point Prevalence Surveys in hospitals. Chi-squared analysis, Fisher’s exact test and logistic regression were employed to analyse statistically the data obtained. Results The overall prevalence of antibiotic use in the hospitals was 60.5%. The commonest indications for antibiotic recommendations were community-acquired infections (36.5%), surgical prophylaxis (26.1%) and hospital-acquired infections (15.7%), among others. Very few (2.7%) of the patients had their samples taken for culture and susceptibility testing to guide therapy. Penicillins (48.7%), cephalosporins (23.5%) and fluoroquinolones (17.4%) were the most commonly prescribed antibiotics. Concurrent malaria infection [adjusted OR (AOR) 0.33, 95% CI 0.11–0.94, P = 0.04] and increasing age (AOR 0.98, 95% CI 0.96–1.00, P = 0.02) were associated with lower risk of antibiotic use. Conclusions The prevalence of antibiotic consumption in the hospitals was lower than that reported in similar studies in Ghana, but high relative to some reports from high-income countries. Most antibiotic therapy was empirical and not guided by culture and susceptibility testing. There is the need for application of the WHO AWaRe classification for the selection of antibiotics and increased use of culture and susceptibility data to guide infectious disease therapy.
Background: Monitoring of antibiotic prescription practices in hospitals is essential to assess and facilitate appropriate use. This is relevant to halt the progression of antimicrobial resistance. Methods: Assessment of antibiotic prescribing patterns and completeness of antibiotic prescriptions among out-patients in 2021 was conducted at the University Hospital of Kwame Nkrumah University of Science and Technology in the Ashanti region of Ghana. We reviewed electronic medical records (EMR) of 49,660 patients who had 110,280 encounters in the year. Results: The patient encounters yielded 350,149 prescriptions. Every month, 33–36% of patient encounters resulted in antibiotic prescription, higher than the World Health Organization’s (WHO) recommended optimum of 27%. Almost half of the antibiotics prescribed belonged to WHO’s Watch group. Amoxicillin–clavulanic acid (50%), azithromycin (29%), ciprofloxacin (28%), metronidazole (21%), and cefuroxime (20%) were the most prescribed antibiotics. Antibiotic prescribing parameters (indication, name of drug, duration, dose, route, and frequency) were documented in almost all prescriptions. Conclusions: Extending antimicrobial stewardship to the out-patient settings by developing standard treatment guidelines, an out-patient specific drug formulary, and antibiograms can promote rational antibiotic use at the hospital. The EMR system of the hospital is a valuable tool for monitoring prescriptions that can be leveraged for future audits.
Background Addressing antimicrobial resistance (AMR) requires the rational use and optimization of available resources for prevention and management of infections. Structures in health facilities to support optimal antimicrobial therapy and AMR containment therefore need assessment and strengthening. Objectives To assess antimicrobial stewardship (AMS) capacity and conformance to National and WHO Infection Prevention and Control (IPC) guidelines in three hospitals in Ashanti region of Ghana. Methods A cross-sectional study using WHO’s hospital questionnaire for AMS capacity assessment, and Infection Prevention and Control Framework (IPCAF) to assess IPC practices in the three hospitals. Results All the facilities had Drug and Therapeutics and IPC Committees with microbiology laboratory services. H3 and H1 did not have a formal AMS programme or an organizational structure for AMS. However, both institutions had a formal procedure to review antibiotics on prescriptions for quality assessment and relevance. H2 and H1 did not participate in any surveillance of antibiotic resistance patterns or consumption. H1 had basic, while H2 and H3 had intermediate-level IPC systems scoring 385, 487.5 and 435.8 out of 800 respectively. Conclusions All the facilities assessed had AMS capacity and IPC conformity gaps that require strengthening to optimize antimicrobial use (AMU) and successful implementation of IPC protocols. Regular surveillance of antimicrobial consumption and microbial resistance patterns should be an integral part of activities in health institutions to generate evidence for impactful actions to contain AMR and improve AMU.
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