Excessive and improper use of antibiotics causes antimicrobial resistance which is a major threat to global health security. Hospitals in sub-Saharan Africa (SSA) has the highest prevalence of antibiotic use. This systematic review and meta-analysis aimed to determine the pooled point prevalence (PPP) of evidence-based antimicrobial use among hospitalized patients in SSA. Literature was retrieved from CINAHL, EMBASE, Google Scholar, PubMed, Scopus, and Web of Science databases. Meta-analysis was conducted using STATA version 17. Forest plots using the random-effect model were used to present the findings. The heterogeneity and publication bias were assessed using the I2 statistics and Egger\'s test. The protocol was registered in PROSPERO with code CRD42023404075. The review was conducted according to PRISMA guidelines. A total of 26, 272 study participants reported by twenty-eight studies published from 10 countries in SSA were included. The pooled point prevalence of antimicrobial use in SSA were 64%. The pooled estimate of hospital wards with the highest antibiotic use were intensive care unit (89%). The pooled prevalence of the most common clinical indication for antibiotic use were community acquired infection (41%). The pooled point prevalence of antimicrobial use among hospitalized patients were higher in SSA. Higher use of antibiotics was recorded in intensive care units. Community acquired infection were most common clinical case among hospitalized patients. Health systems in SSA must design innovative digital health interventions to optimize clinicians adhere to evidence-based prescribing guidelines and improve antimicrobial stewardship.

We performed a scoping review of articles published from 1 January 2000 to 4 January 2022 to characterize inequities in antibiotic prescribing and use across healthcare settings in the United States to inform antibiotic stewardship interventions and research. We included 34 observational studies, 21 cross-sectional survey studies, 4 intervention studies, and 2 systematic reviews. Most studies (55 of 61 [90%]) described the outpatient setting, 3 articles were from dentistry, 2 were from long-term care, and 1 was from acute care. Differences in antibiotic prescribing were found by patient\'s race and ethnicity, sex, age, socioeconomic factors, geography, clinician\'s age and specialty, and healthcare setting, with an emphasis on outpatient settings. Few studies assessed stewardship interventions. Clinicians, antibiotic stewardship experts, and health systems should be aware that prescribing behavior varies according to both clinician- and patient-level markers. Prescribing differences likely represent structural inequities; however, no studies reported underlying drivers of inequities in antibiotic prescribing.

Introduction: The use of antibiotics leads to antibiotic resistance (ABR). Different methods have been used to predict and control ABR. In recent years, artificial intelligence (AI) has been explored to improve antibiotic (AB) prescribing, and thereby control and reduce ABR. This review explores whether the use of AI can improve antibiotic prescribing for human patients. Methods: Observational studies that use AI to improve antibiotic prescribing were retrieved for this review. There were no restrictions on the time, setting or language. References of the included studies were checked for additional eligible studies. Two independent authors screened the studies for inclusion and assessed the risk of bias of the included studies using the National Institute of Health (NIH) Quality Assessment Tool for observational cohort studies. Results: Out of 3692 records, fifteen studies were eligible for full-text screening. Five studies were included in this review, and a narrative synthesis was carried out to assess their findings. All of the studies used supervised machine learning (ML) models as a subfield of AI, such as logistic regression, random forest, gradient boosting decision trees, support vector machines and K-nearest neighbours. Each study showed a positive contribution of ML in improving antibiotic prescribing, either by reducing antibiotic prescriptions or predicting inappropriate prescriptions. However, none of the studies reported the engagement of AB prescribers in developing their ML models, nor their feedback on the user-friendliness and reliability of the models in different healthcare settings. Conclusion: The use of ML methods may improve antibiotic prescribing in both primary and secondary settings. None of the studies evaluated the implementation process of their models in clinical practices. Prospero Registration: (CRD42022329049).

There is paucity of data describing the rate and quality indices of antibiotics used among hospitalized patients at continental level in Africa. This systematic review evaluated the pooled prevalence, indications, and types of antibiotics used in hospitals across Africa.
Three electronic databases, PubMed, Scopus, and African Journals Online (AJOL), were searched using search terms. Point prevalence studies of antibiotic use in inpatient settings published in English language from January 2010 to November 2022 were considered for selection. Additional articles were identified by checking the reference list of selected articles.
Of the 7254 articles identified from the databases, 28 eligible articles involving 28 studies were selected. Most of the studies were from Nigeria (n = 9), Ghana (n = 6), and Kenya (n = 4). Overall, the prevalence of antibiotic use among hospitalized patients ranged from 27.6 to 83.5% with higher prevalence in West Africa (51.4-83.5%) and North Africa (79.1%) compared to East Africa (27.6-73.7%) and South Africa (33.6-49.7%). The ICU (64.4-100%; n = 9 studies) and the pediatric medical ward (10.6-94.6%; n = 13 studies) had the highest prevalence of antibiotic use. Community-acquired infections (27.7-61.0%; n = 19 studies) and surgical antibiotic prophylaxis (SAP) (14.6-45.3%; n = 17 studies) were the most common indications for antibiotic use. The duration of SAP was more than 1 day in 66.7 to 100% of the cases. The most commonly prescribed antibiotics included ceftriaxone (7.4-51.7%; n = 14 studies), metronidazole (14.6-44.8%; n = 12 studies), gentamicin (n = 8 studies; range: 6.6-22.3%), and ampicillin (n = 6 studies; range: 6.0-29.2%). The access, watch, and reserved group of antibiotics accounted for 46.3-97.9%, 1.8-53.5%, and 0.0-5.0% of antibiotic prescriptions, respectively. The documentation of the reason for antibiotic prescription and date for stop/review ranged from 37.3 to 100% and 19.6 to 100%, respectively.
The point prevalence of antibiotic use among hospitalized patients in Africa is relatively high and varied between the regions in the continent. The prevalence was higher in the ICU and pediatric medical ward compared to the other wards. Antibiotics were most commonly prescribed for community-acquired infections and for SAP with ceftriaxone, metronidazole, and gentamicin being the most common antibiotics prescribed. Antibiotic stewardship is recommended to address excessive use of SAP and to reduce high rate of antibiotic prescribing in the ICU and pediatric ward.

Governments and healthcare organisations collect data on antibiotic prescribing (AP) for surveillance. This data can support tools for visualisations and feedback to GPs using dashboards that may prompt a change in prescribing behaviour. The objective of this systematic review was to assess the effectiveness of interactive dashboards to optimise AP in primary care. Six electronic databases were searched for relevant studies up to August 2022. A narrative synthesis of findings was conducted to evaluate the intervention processes and results. Two independent reviewers assessed the relevance, risk of bias and quality of the evidence. A total of ten studies were included (eight RCTs and two non-RCTs). Overall, seven studies showed a slight reduction in AP. However, this reduction in AP when offering a dashboard may not in itself result in reductions but only when combined with educational components, public commitment or behavioural strategies. Only one study recorded dashboard engagement and showed a difference of 10% (95% CI 5% to 15%) between intervention and control. None of the studies reported on the development, pilot or implementation of dashboards or the involvement of stakeholders in design and testing. Interactive dashboards may reduce AP in primary care but most likely only when combined with other educational or behavioural intervention strategies.

Antimicrobial stewardship (AMS) interventions to improve antibiotic use are being implemented in Africa, but their impact is not fully known. The aim of this review was to estimate the effectiveness of interventions to improve antibiotic prescribing for hospital inpatients. Studies from PubMed, Embase, African Journals Online and Google Scholar were systematically searched from January 2010 to July 2022. Studies were included if they reported the impact of AMS interventions on outcomes of interest for hospital inpatients in Africa. Risk of bias was evaluated using the Cochrane Effective Practice and Organization of Care guidelines and the National Heart, Lung and Blood Institute tool. Findings were summarized in tables and meta-analyses were performed using random-effects models. A total of 28 studies were included, 89% being uncontrolled before and after studies. Most interventions employed were multi-faceted and found to be effective, evidenced by increased compliance, reduction in antibiotic utilization and cost, and slight reduction or no difference in mortality and length of hospital stay (LOS). Meta-analysis generated a relative risk of 0.82 [95% confidence interval (CI) 0.70-0.97] for mortality, and a standard mean difference of -0.30 (95% CI -0.41 to -0.19) for LOS. Generally, a decrease in resistance to most micro-organisms was observed. Despite an increase in the number of AMS studies conducted in Africa, the studies lack most of the quality design features for AMS studies. In conclusion, antimicrobial stewardship interventions are likely to be effective; however, efforts are still required to align the study design with the quality design features required for validity and to inform practice.

UNASSIGNED: This review summarises epidemiological research using electronic health records (EHR) for antimicrobial stewardship.
UNASSIGNED: EHRs enable surveillance of antibiotic utilisation and infection consultations. Prescribing for respiratory tract infections has declined in the UK following reduced consultation rates. Reductions in prescribing for skin and urinary tract infections have been less marked. Drug selection has improved and use of broad-spectrum antimicrobics reduced. Diagnoses of pneumonia, sepsis and bacterial endocarditis have increased in primary care. Analytical studies have quantified risks of serious bacterial infections following reduced antibiotic prescribing. EHRs are increasingly used in interventional studies including point-of-care trials and cluster randomised trials of quality improvement. Analytical and interventional studies indicate patient groups for whom antibiotic utilisation may be more safely reduced.
UNASSIGNED: EHRs offer opportunities for surveillance and interventions that engage practitioners in the effects of improved prescribing practices, with the potential for better outcomes with targeted study designs.

To provide an overview of the impact of pharmacist interventions on antibiotic prescribing and the resultant clinical outcomes in an outpatient antibiotic stewardship program (ASP) in the United States.
Reports on studies of pharmacist-led ASP interventions implemented in US outpatient settings published from January 2000 to November 2020 and indexed in PubMed or Google Scholar were included. Additionally, studies documented at the ClinicalTrials.gov website were evaluated. Study selection was based on predetermined inclusion criteria; only randomized controlled trials, observational studies, nonrandomized controlled trials, and case-control studies conducted in outpatient settings in the United States were included. The primary outcome was the observed differences in antibiotic prescribing or clinical benefits between pharmacist-led ASP interventions and usual care.
Of the 196 studies retrieved for full-text review, a cumulative total of 15 studies were included for final evaluation. Upon analysis, we observed that there was no consistent methodology in the implementation of ASPs and, in most cases, the outcome of interest varied. Nonetheless, there was a trend toward improvement in antibiotic prescribing with pharmacist interventions in ASPs compared with that under usual care (P < 0.05). However, the results of these studies are not easily generalizable.
Our findings suggest a need for a consistent approach for the practical application of outpatient pharmacist-led ASPs. Managed care organizations could play a significant role in ensuring the successful implementation of pharmacist-led ASPs in outpatient settings.

BACKGROUND: Healthcare-associated infections (HCAIs) and variation in antibiotic prescribing pose a significant public health challenge in hospitals of low-resource countries.
OBJECTIVE: To critically appraise and synthesize the evidence on HCAI and the prescribing of antibiotics in Caribbean Community (CARICOM) states.
METHODS: All primary qualitative and quantitative studies that addressed HCAI, and the prescribing of antibiotics in hospitalized patients of CARICOM states were included. Ovid Medline, Embase, Global Health, and regional databases were searched. Risk of bias was assessed using the Mixed Methods Appraisal Tool. Findings were presented in narrative and table formats.
RESULTS: Twenty-one studies met the inclusion criteria for this mixed-methods systematic review (MMSR). Studies were from four different CARICOM states: Trinidad and Tobago, Jamaica, Haiti, and Antigua and Barbuda. Intensive care units (ICUs) had the highest rate of infections (67% over four years). Surgical site infections were discussed by seven studies and ranged from 1.5% to 7.3%. For inpatients with contaminated or infected wounds, rates ranged from 29% to 83%. Empiric and prophylactic therapies were common and inappropriately prescribed. Resources and training for healthcare workers in infection control and antimicrobial stewardship were insufficient. Few qualitative studies existed, so it was not possible to integrate evidence from qualitative and quantitative paradigms.
CONCLUSIONS: Evidence from CARICOM states shows high rates of HCAI and inappropriately prescribed antibiotics, primarily in ICUs. Disease surveillance, infection control, and antimicrobial stewardship programmes require urgent evidence-based improvements.

Antibiotic prescribing is common worldwide. There are several original studies about antibiotic prescribing in the healthcare setting of Iran reporting different levels of prescribing. The aim of this systematic review and meta-analysis was to determine the prevalence of antibiotic prescribing in both inpatient and outpatient settings in Iran, an example of a developing country.
To identify published studies on antibiotic prescribing, databases such as ISI, Scopus, PubMed, Google Scholar, and Electronic Persian were searched in Iran till January 2020. Eligible studies were those analyzing original data on the prescription and use of antibiotics in outpatient or inpatient settings in Iran. Moreover, all studies that used an intervention to improve antibiotic prescribing were included. The quality of the included studies was assessed using self-administered quality assessment criteria. The meta-analysis of prevalence of antibiotic prescribing was conducted based on the meta-analysis of observational studies in epidemiology guidelines. To calculate pooled rates, the random-effects model was used.
A total of 54 studies (39 outpatients and 15 inpatients) were included in this study. The median of antibiotic prescribing in the outpatient and inpatient settings accounted for 45.25% and 68.2% of patients, respectively. The results of meta-analysis also showed that the antibiotic prescribing accounted for 45% of prescriptions in outpatient settings and 39.5%, 66%, and 75.3% of patients in all wards, pediatrics wards, and ICU wards of inpatient settings, respectively. The most commonly prescribed antibiotic classes in outpatient settings were penicillins, cephalosporins, and macrolides, while in inpatient settings, these were cephalosporins, penicillins, and carbapenems. There were seven studies using interventions to improve antibiotic prescribing pattern. It should be mentioned that intervention in a study had a statistically significant effect on improving antibiotic prescribing (p < .05).
Prevalence of antibiotic prescribing in Iran is high. Our findings highlight the need for urgent action to improve prescription practices. It seems that developing a national plan to improve antibiotic prescribing is necessary.