Adaptation of the WHO Essential Medicines List for national antibiotic stewardship policy in England: being AWaRe

Antibiotic use and adherence to the WHO AWaRe guidelines across 16 hospitals in Zambia: a point prevalence survey

Background

The inappropriate use of antibiotics in hospitals contributes to the development and spread of antimicrobial resistance (AMR). This study evaluated the prevalence of antibiotic use and adherence to the World Health Organization (WHO) Access, Watch and Reserve (AWaRe) classification of antibiotics across 16 hospitals in Zambia.

Methods

A descriptive, cross-sectional study employing the WHO Point Prevalence Survey (PPS) methodology and WHO AWaRe classification of antibiotics was conducted among inpatients across 16 hospitals in December 2023, Zambia. Data analysis was performed using STATA version 17.0.

Results

Of the 1296 inpatients surveyed in the 16 hospitals, 56% were female, and 54% were aged between 16 and 50 years. The overall prevalence of antibiotic use was 70%. Additionally, 52% of the inpatients received Watch group antibiotics, with ceftriaxone being the most prescribed antibiotic. Slightly below half (48%) of the inpatients received Access group antibiotics. Compliance with the local treatment guidelines was 53%.

Conclusions

This study found a high prevalence of prescribing and use of antibiotics in hospitalized patients across the surveyed hospitals in Zambia. The high use of Watch group antibiotics was above the recommended threshold indicating non-adherence to the WHO AWaRe guidelines for antibiotic use. Hence, there is a need to establish and strengthen antimicrobial stewardship programmes that promote the rational use of antibiotics in hospitals in Zambia.

Antimicrobial stewardship situation analysis in selected hospitals in Zambia: findings and implications from a national survey

Background

Antimicrobial stewardship (AMS) programs are critical in combating antimicrobial resistance (AMR). In Zambia, there is little information regarding the capacity of hospitals to establish and implement AMS programs. The objective of this study was to conduct a baseline assessment of WHO core elements for an AMS program implementation in eight hospitals in Zambia.

Materials and methods

We conducted an exploratory cross-sectional study from September 2023 to December 2023 using a self-scoring Periodic National and Healthcare Facility Assessment Tool from the World Health Organization (WHO) policy guidance on integrated AMS activities in human health. Eight public hospitals were surveyed across the five provinces of Zambia. Data was analyzed using the WHO self-scoring tool and thematic analysis.

Results

Overall, 62.5% (6/8) of the facilities scored low (below 60%) in implementing AMS programs. Most facilities had challenges with reporting AMS feedback within the hospital (average score = 46%), Drugs and Therapeutics Committee (DTC) functionality (average score = 49%), AMS actions (average score = 50%), education and training (average score = 54%), and leadership commitment to AMS activities (average score = 56%). The overall score for all AMS core elements was average (56%). All the hospitals (100%) did not have an allocated budget for AMS programs. Finally, there were neither antibiograms to guide antimicrobial utilization nor AMS-trained staff in more than 50% of the hospitals surveyed.

Conclusion

This study found low AMS implementation in these public hospitals, especially where DTCs were non-functional. The identified challenges and gaps require urgent attention for sustainable multidisciplinary AMS programs.

Antibiotic usage patterns in COVID-19 patients in five tertiary hospitals from Bangladesh: A countrywide picture

Objectives

Irrational and injudicious use of antibiotics in COVID-19 patients could be detrimental in a tropical country with a weak antibiotic stewardship policy such as Bangladesh. This study aimed to focus on the antibiotic usage patterns in COVID-19 patients in Bangladesh.

Methods

This prospective observational study was performed from July 2020 to June 2021 in five tertiary hospitals in Bangladesh. Data on demographic profile, disease severity, and antibiotic usage were collected directly from the patients' hospital documents.

Results

A total of 3486 (94.4%) patients were treated with at least one antibiotic; 3261 (93.6%) patients received a single antibiotic, and 225 (6.5%) received multiple antibiotics. The most used antibiotics were ceftriaxone (37.3%), co-amoxiclav (26.3%), azithromycin (10.6%), and meropenem (10.3%). According to the World Health Organization AWaRe categorization, most (2260; 69.6%) of the antibiotics prescribed in this study belonged to the "Watch" group. Culture and sensitivity reports were available in 111 cases from one center. Only 18.9% of the patients were found to be co-infected with multi-drug-resistant bacteria (52.4% yield from sputum, 28.6% from urine, and 14.3% from blood).

Conclusions

Strict antibiotic prescribing policy and antibiotic stewardship should be implemented immediately to limit the future threat of antimicrobial resistance in countries such as Bangladesh.

Patterns of community antibiotic use with reference to the AWaRe classification of the World Health Organization

Background

Monitoring consumption through quality indicators and providing feedback is an important activity within programmes for improving antibiotic prescription. This study aims to describe the use of antibiotics for systemic use in community setting in Italy and to compare prescription patterns among regions based on quality prescription indicators to identify any inter-regional variability.

Methods

The 2021 consumption (calculated as DDDs per 1000 inhabitants per day) of antibiotics for systemic use (reimbursed or purchased privately) in community setting were considered. The WHO AWaRe system was used to classify antibiotics into Access, Watch and Reserve groups, using the 60% of prescribed antibiotics belonging to the Access group out of the total DDDs as AWaRe target. The correlation between regional consumption and percentages of DDDs in the Access group was assessed through linear regression. A further indicator 'ratio of broad to narrow-spectrum antibacterials' was also calculated to compare the spectrum of prescribed antibiotics.

Findings

Overall community antibiotic consumption in Italy in 2021 was 15.6 DDDs per 1000 inhabitants per day, with an increasing trend from north (13.0 DDDs) to south (19.5 DDDs) and the percentages of non-reimbursed consumption decreasing from north (33.1%) to south (21.5%). Only three regions out of 21 reached the AWaRe target (regional range 47.4%-62.9%), with a negative correlation between regional consumption and percentages of antibiotics belonging to the Access group (correlation coefficient -0.8; R 2 = 0.64; P value < 0.001). The 'ratio of broad to narrow-spectrum antibacterials' was 8.5 at national level, with the highest value in the centre (11.0) compared to the south (9.1) and north (7.0).

Conclusion

The percentage of consumption of Access group antibiotics correlates very well with regional consumption in Italy, indicating that regions with higher antibiotics consumption also have worse prescribing patterns with a greater impact on bacterial resistance. Additional data are needed to better describe prescription patterns from an antimicrobial stewardship perspective.

Antibiotic prescription prevalence in Iranian outpatients: A focus on defined daily doses and the AWaRe classification system

BACKGROUND

The inappropriate use and overprescription of antibiotics pose a global health threat, particularly contributing to antimicrobial resistance. This study aims to evaluate antibiotic prescription prevalence in Iranian outpatients using the defined daily doses (DDD) and Access, Watch, and Reserve classification systems.

METHODS

This retrospective study analyzed electronic prescriptions for systemic antibiotics in Tehran, Iran, from March 2022 to March 2023. The data were obtained from the Iranian Health Insurance Organization and processed using the Cross-Industry Standard Process. Descriptive statistics and DDD per 1,000 inhabitants per day were calculated.

RESULTS

A total of 817,178 antibiotic prescriptions were analyzed, with a sex distribution of 57.43% female and a median age of 48 years. On average, each patient received 1.89 antibiotics per prescription. Over 63% of antibiotics were classified in the "Watch" category, with Azithromycin being the most commonly prescribed (27.56%). The total DDD per 1,000 inhabitants per day was 4.99, with general practitioners accounting for 58.02% of the prescriptions, primarily prescribing Azithromycin.

CONCLUSIONS

The study emphasizes the high use of Watch group antibiotics, indicating a need for improved prescribing practices. Education on antibiotic stewardship and stricter guidelines are necessary to combat antimicrobial resistance. Continuous monitoring is crucial to optimize antibiotic use in outpatient settings in Iran.

Impact of the COVID-19 pandemic on the utilisation and quality of antibiotic use in the Scottish primary care setting: a population-based segmented interrupted time-series analysis

BACKGROUND

Inappropriate use of antibiotics is expected to increase during the COVID-19 pandemic, but there are limited data on COVID-19's long-term impact. We assessed the impact of COVID-19 on the quantity and quality of antibiotic use in Scotland.

RESEARCH DESIGN AND METHODS

A segmented interrupted time series was applied to monthly dispensed antibiotics using prescription cost analysis data from March/2019 to March/2023. Antibiotic use was quantified using the number of items dispensed/1000 inhabitants (TIDs) and defined daily dose/1000 inhabitants/day (DIDs). The quality of antibiotic use was assessed using key quality indicators including the WHO AWaRe classification, proportion of broad-spectrum and "4C"-antibiotics.

RESULTS

Overall, for all antibiotics, there was a non-significant increase in TIDs and DIDs before the first lockdown (March/2020) (β1), but a decline in the level immediately after the first (β2) and second lockdowns (β4) (November/2020), albeit non-significant. However, a significant increase in the time trend after the second lockdown (β5) for all antibiotic classes was observed. COVID-19 had no negative impact on AWaRe utilisation, with the proportion of all antibiotics from the Access group increasing from 76% in March/2019 to 90% in March/2023. The proportion of "4C" antibiotic reduced significantly after the second lockdown.

CONCLUSIONS

Neither the utilisation nor the quality of total antibiotic use appeared to have been significantly affected by COVID-19.

A systematic review of national interventions and policies to optimize antibiotic use in healthcare settings in England

OBJECTIVES

To identify and assess the effectiveness of national antibiotic optimization interventions in primary and secondary care in England (2013-2022).

METHODS

A systematic scoping review was conducted. Literature databases (Embase and Medline) were used to identify interventions and evaluations. Reports included the UK AMR Strategy (2013-2018), National Action Plan (2019-2024) and English Surveillance Programme for Antimicrobial Utilisation and Resistance (ESPAUR) reports (2014-2022). The design, focus and quality of evaluations and the interventions' effectiveness were extracted.

FINDINGS

Four hundred and seventy-seven peer-reviewed studies and 13 reports were screened. One hundred and three studies were included for review, identifying 109 interventions in eight categories: policy and commissioning (n = 9); classifications (n = 1); guidance and toolkits (n = 22); monitoring and feedback (n = 17); professional engagement and training (n = 19); prescriber tools (n = 12); public awareness (n = 17); workforce and governance (n = 12).Most interventions lack high-quality effectiveness evidence. Evaluations mainly focused on clinical, microbiological or antibiotic use outcomes, or intervention implementation, often assessing how interventions were perceived to affect behaviour. Only 16 interventions had studies that quantified effects on prescribing, of which six reported reductions. The largest reduction was reported with structural-level interventions and attributed to a policy and commissioning intervention (primary care financial incentives). Behavioural interventions (guidance and toolkits) reported the greatest impact in hospitals.

CONCLUSIONS

Many interventions have targeted antibiotic use, each pulling different levers across the health system simultaneously. On the basis of these studies, structural-level interventions may have the greatest impact. Collectively, the combination of interventions may explain England's decline in prescribing but direct evidence of causality is unavailable.

Tracking progress on antimicrobial resistance by the quadripartite country self-assessment survey (TrACSS) in G7 countries, 2017-2023: opportunities and gaps

Antimicrobial resistance (AMR) poses serious challenges to the healthcare systems worldwide. Multiple factors and activities contribute to the development and spread of antimicrobial-resistant microorganisms. Monitoring progress in combating AMR is fundamental at both global and national levels to drive multisectoral actions, identify priorities, and coordinate strategies. Since 2017, the World Health Organization (WHO) has collected data through the Tracking AMR Country Self-Assessment Survey (TrACSS). TrACSS data are published in a publicly-available database. In 2023, 71 (59.9%) out of 177 responding countries reported the existence of a monitoring and evaluation plan for their National Action Plan (NAP) on AMR, and just 20 countries (11.3%) the allocation of funding to support NAP implementation. Countries reported challenges including limited financial and human resources, lack of technical capacity, and variable political commitment. Even across the Group of Seven (G7) countries, which represent some of the world's most advanced economies, many areas still need improvement, such as full implementation of infection prevention and control measures, adoption of WHO access/watch/reserve (AWaRe) classification of antibiotics, effective integration of laboratories in AMR surveillance in the animal health and food safety sectors, training and education, good manufacturing and hygiene practices in food processing, optimising pesticides use and environmental residues of antimicrobial drugs. Continuous and coordinated efforts are needed to strengthen multisectoral engagement to fight AMR.

Investigating the cause of increased tetracycline-resistant Neisseria gonorrhoeae in England, 2016-20

BACKGROUND

Antimicrobial resistance in Neisseria gonorrhoeae is a global public health concern. Tetracycline resistance (TetR) increased from 39.4% to 75.2% between 2016 and 2021 in N. gonorrhoeae isolates collected through national surveillance in England, despite the absence of use of tetracyclines for the treatment of gonorrhoea.

OBJECTIVES

We investigated whether there was correlation between bacterial sexually transmitted infection (STI) tests performed and treatment with antimicrobials, with increased TetR in N. gonorrhoeae.

METHODS

We examined correlations between bacterial STI tests, antimicrobial treatment and TetR in N. gonorrhoeae, using national surveillance data from three large sexual health services (SHS) in London during 2016-20. Doxycycline prescribing data and antibiograms of a non-STI pathogen from distinct patient groups (sexual health, obstetric and paediatric), at a large London hospital, were analysed to identify if doxycycline use in SHS was associated with resistance in a non-STI organism.

RESULTS

A substantial increase in TetR was observed, particularly in isolates from gay, bisexual and other MSM (GBMSM). Strong positive correlations were observed exclusively in GBMSM between N. gonorrhoeae TetR and both bacterial STI tests (r = 0.97, P = 0.01) and antimicrobial treatment (r = 0.87, P = 0.05). Doxycycline prescribing increased dramatically during the study period in SHS. Prevalence of TetR in Staphylococcus aureus was higher in isolates sourced from SHS attendees than those from other settings.

CONCLUSIONS

Frequent screening of GBMSM at higher risk of STIs, such as those on pre-exposure prophylaxis (PrEP) leading to/and increased use of doxycycline for the treatment of diagnosed infections, may account for the increase in TetR in N. gonorrhoeae.

Assessment of antimicrobial prescribing patterns, guidelines compliance, and appropriateness of antimicrobial prescribing in surgical-practice units: point prevalence survey in Malaysian teaching hospitals

Objectives: This study sought to investigate the quality of antimicrobial prescribing among adult surgical inpatients besides exploring the determinants of non-compliance and inappropriate prescribing to inform stewardship activities. Methods: A cross-sectional point prevalence study employing Hospital National Antimicrobial Prescribing Survey (Hospital NAPS) was conducted in April 2019 at two teaching hospitals in Malaysia. Results: Among 566 surgical inpatients, 44.2% were receiving at least one antimicrobial, for a total of 339 prescriptions. Antimicrobials belonging to the World Health Organization's Watch group were observed in 57.8% of cases. Both hospitals exhibited similar types of antimicrobial treatments prescribed and administration routes. A significant difference in antimicrobial choice was observed between hospitals (p < 0.001). Hospital with electronic prescribing demonstrated better documentation practice (p < 0.001). Guidelines compliance, 32.8% (p = 0.952) and appropriateness, 55.2% (p = 0.561) did not significantly differ. The major contributors of inappropriateness were incorrect duration, (15%) and unnecessary broad-spectrum coverage, (15.6%). Non-compliance and inappropriate prescribing were found to be 2 to 4 times significantly higher with antimicrobial prophylaxis prescription compared to empirical therapy. Conclusion: Antimicrobial stewardship efforts to improve appropriate surgical prescribing are essential. These initiatives should prioritize surgical prophylaxis prescribing, focusing on reducing unnecessarily prolonged use and broad-spectrum antimicrobials, raising awareness among prescribers and promoting proper documentation.

WHO's essential medicines and AWaRe: recommendations on first- and second-choice antibiotics for empiric treatment of clinical infections

The WHO Model List of Essential Medicines (EML) prioritizes medicines that have significant global public health value. The EML can also deliver important messages on appropriate medicine use. Since 2017, in response to the growing challenge of antimicrobial resistance, antibiotics on the EML have been reviewed and categorized into three groups: Access, Watch, and Reserve, leading to a new categorization called AWaRe. These categories were developed taking into account the impact of different antibiotics and classes on antimicrobial resistance and the implications for their appropriate use. The 2023 AWaRe classification provides empirical guidance on 41 essential antibiotics for over 30 clinical infections targeting both the primary health care and hospital facility setting. A further 257 antibiotics not included on the EML have been allocated an AWaRe group for stewardship and monitoring purposes. This article describes the development of AWaRe, focussing on the clinical evidence base that guided the selection of Access, Watch, or Reserve antibiotics as first and second choices for each infection. The overarching objective was to offer a tool for optimizing the quality of global antibiotic prescribing and reduce inappropriate use by encouraging the use of Access antibiotics (or no antibiotics) where appropriate. This clinical evidence evaluation and subsequent EML recommendations are the basis for the AWaRe antibiotic book and related smartphone applications. By providing guidance on antibiotic prioritization, AWaRe aims to facilitate the revision of national lists of essential medicines, update national prescribing guidelines, and supervise antibiotic use. Adherence to AWaRe would extend the effectiveness of current antibiotics while helping countries expand access to these life-saving medicines for the benefit of current and future patients, health professionals, and the environment.

Implementation of an antibiotic resistance surveillance tool in Madagascar, the TSARA project: a prospective, observational, multicentre, hospital-based study protocol

INTRODUCTION

Antimicrobial resistance (AMR) has become a significant public health threat. Without any interventions, it has been modelled that AMR will account for an estimated 10 million deaths annually by 2050, this mainly affects low/middle-income countries. AMR has a systemic negative perspective affecting the overall healthcare system down to the patient's personal outcome. In response to this issue, the WHO urged countries to provide antimicrobial stewardship programmes (ASPs). ASPs in hospitals are a vital component of national action plans for AMR, and have been shown to significantly reduce AMR, in particular in low-income countries such as Madagascar.As part of an ASP, AMR surveillance provides essential information needed to guide medical practice. We developed an AMR surveillance tool-Technique de Surveillance Actualisée de la Résistance aux Antimicrobiens (TSARA)-with the support of the Mérieux Foundation. TSARA combines bacteriological and clinical information to provide a better understanding of the scope and the effects of AMR in Madagascar, where no such surveillance tool exists.

METHODS AND ANALYSIS

A prospective, observational, hospital-based study was carried out for data collection using a standardised data collection tool, called TSARA deployed in 2023 in 10 hospitals in Madagascar participating in the national Malagasy laboratory network (Réseau des Laboratoires à Madagascar (RESAMAD)). Any hospitalised patient where the clinician decided to take a bacterial sample is included. As a prospective study, individual isolate-level data and antimicrobial susceptibility information on pathogens were collected routinely from the bacteriology laboratory and compiled with clinical information retrieved from face-to-face interviews with the patient and completed using medical records where necessary. Analysis of the local ecology, resistance rates and antibiotic prescription patterns were collected.

ETHICS AND DISSEMINATION

This protocol obtained ethical approval from the Malagasy Ethical Committee n°07-MSANP/SG/AGMED/CNPV/CERBM on 24 January 2023. Findings generated were shared with national health stakeholders, microbiologists, members of the RESAMAD network and the Malagasy academic society of infectious diseases.

Trends in Antibiotic Use in a Large Children's Hospital in London (United Kingdom): 5 Years of Point Prevalence Surveys

Background: Antibiotics are commonly prescribed in paediatrics. As their excessive use contributes to adverse drug events, increased healthcare costs, and antimicrobial resistance, antimicrobial stewardship initiatives are essential to optimising medical care. These single-centre point prevalence surveys aimed to provide insights into antibiotic prescribing trends and identify targets for paediatric AMS activities. Methods: 14 point prevalence surveys were conducted from March 2016-April 2021, collecting data on antibiotic prescriptions, indication, adherence to guidelines, and route of administration. The UK adapted the World Health Organisation's AWaRe classification-guided antibiotic categorization. Results: 32.5% of all inpatients were on at least one antimicrobial; this remained stable during all surveys (range: 20-44%, p = 0.448). Of all prescriptions, 67.2% had an end- or review-date, and the majority was for agents in the Watch category (46.8-70.5%). Amoxicillin and clavulanate were the most frequently prescribed antibiotics (20.8%), followed by gentamicin (15.3%). Approximately 28.8% of all prescriptions were for prophylactic indications, while 7.6% of the prescriptions were not adherent to the hospital guidelines. Conclusions: This study highlights the importance of ongoing monitoring and robust AMS initiatives to ensure prudent antibiotic prescribing in paediatric healthcare. It underscores the need for tailored guidelines, educational efforts, and targeted interventions to enhance the quality of antibiotic usage, ultimately benefiting both individual patients and public health.

The impact of immunosuppressive therapy on secondary infections and antimicrobial use in COVID-19 inpatients: a retrospective cohort study

BACKGROUND

Immunosuppressive therapies have become a cornerstone of the management of severe COVID-19. The impact of these therapies on secondary infections and antimicrobial prescribing remains unclear. We sought to assess antimicrobial use and the incidence of bacterial and fungal infections in patients with severe COVID-19, and to explore their associations with receipt of immunosuppressive therapies.

METHODS

Our retrospective cohort study included 715 hospitalised, adult patients with severe COVID-19 admitted to St George's Hospital, London, UK, during the first UK pandemic wave (1st March-10th June 2020). Co-infections (occurring within 48 h of admission) and secondary infections (≥ 48 h) were defined as a positive microbiological culture with supporting clinical, radiological or laboratory data to suggest true infection. Cox regression models with time-dependent covariates were used to explore the association between immunosuppressant use and secondary infection.

RESULTS

Microbiologically confirmed co-infection occurred in 4.2% (n = 30) and secondary infection in 9.3% (n = 66) of the cohort (n = 715) and were associated with in-hospital mortality (48% vs 35%, OR 1.8, 95%CI 1.1-2.7, p = 0.01). Respiratory (n = 41, 39%) and bloodstream infections (n = 38, 36%) predominated, with primarily Gram-negative pathogens. 606 (84.7%) patients received an antimicrobial, amounting to 742 days of therapy per 1000 patient-days (DOTs). In multivariable models, receipt of high-dose steroids (≥ 30 mg prednisolone or equivalent) or tocilizumab was significantly associated with increased antimicrobial consumption (+ 5.5 DOTs, 95%CI 3.4-7.7 days) but not secondary infection (HR 0.56, 95%CI 0.26-1.18).

CONCLUSIONS

Bacterial and fungal infections in severe COVID-19 were uncommon. Receipt of steroids or tocilizumab was independently associated with antimicrobial consumption despite its lack of association with secondary infection. These findings should galvanise efforts to promote antimicrobial stewardship in patients with COVID-19.

The National Implementation of a Community Pharmacy Antimicrobial Stewardship Intervention (PAMSI) through the English Pharmacy Quality Scheme 2020 to 2022

Since 2020, England's Pharmacy Quality Scheme (PQS) has incentivised increased antimicrobial stewardship (AMS) activities in community pharmacy. In 2020/21, this included the requirement for staff to complete an AMS e-Learning module, pledge to be an Antibiotic Guardian and develop an AMS Action plan. To build and embed these initiatives, in 2021/22, the PQS required the use of the TARGET Antibiotic Checklist (an AMS tool for use when patients present with a prescription for antibiotics to support conducting and recording of a series of safety and appropriateness checks against each prescribed antibiotic). This paper describes the implementation of the national PQS criteria from 2020 to 2022, and details community pharmacies' AMS activities and barriers to implementation of the 2021/22 criteria. A total of 8374 community pharmacies submitted data collected using the TARGET Antibiotic Checklist for 213,105 prescriptions; 44% surpassed the required number for the PQS. Pharmacy teams reported checking the following: duration, dose, and appropriateness of antibiotics; patient allergies and medicine interactions (94-95%); antibiotic prescribing guideline adherence (89%); and the patient's previous use of antibiotics (81%). The prescriber was contacted for 1.3% of TARGET Antibiotic Checklists (2741), and the most common reasons for such contacts were related to dose, duration, and possible patient allergy. A total of 105 pharmacy staff responded to a follow-up questionnaire, which suggested that some AMS principles had been embedded into daily practice; however, the necessary time commitment was a barrier. The PQS was able to incentivise mass AMS activities at pace over consecutive years for England's community pharmacies simultaneously. Future research should monitor the continuation of activities and the wider impacts on primary care.

Antibiotic review kit for hospitals (ARK-Hospital): a stepped-wedge cluster-randomised controlled trial

BACKGROUND

Strategies to reduce antibiotic overuse in hospitals depend on prescribers taking decisions to stop unnecessary antibiotic use. There is scarce evidence for how to support these decisions. We evaluated a multifaceted behaviour change intervention (ie, the antibiotic review kit) designed to reduce antibiotic use among adult acute general medical inpatients by increasing appropriate decisions to stop antibiotics at clinical review.

METHODS

We performed a stepped-wedge, cluster (hospital)-randomised controlled trial using computer-generated sequence randomisation of eligible hospitals in seven calendar-time blocks in the UK. Hospitals were eligible for inclusion if they admitted adult non-elective general or medical inpatients, had a local representative to champion the intervention, and could provide the required study data. Hospital clusters were randomised to an implementation date occurring at 1-2 week intervals, and the date was concealed until 12 weeks before implementation, when local preparations were designed to start. The intervention effect was assessed using data from pseudonymised routine electronic health records, ward-level antibiotic dispensing, Clostridioides difficile tests, prescription audits, and an implementation process evaluation. Co-primary outcomes were monthly antibiotic defined daily doses per adult acute general medical admission (hospital-level, superiority) and all-cause mortality within 30 days of admission (patient level, non-inferiority margin of 5%). Outcomes were assessed in the modified intention-to-treat population (ie, excluding sites that withdrew before implementation). Intervention effects were assessed by use of interrupted time series analyses within each site, estimating overall effects through random-effects meta-analysis, with heterogeneity across prespecified potential modifiers assessed by use of meta-regression. This trial is completed and is registered with ISRCTN, ISRCTN12674243.

FINDINGS

58 hospital organisations expressed an interest in participating. Three pilot sites implemented the intervention between Sept 25 and Nov 20, 2017. 43 further sites were randomised to implement the intervention between Feb 12, 2018, and July 1, 2019, and seven sites withdrew before implementation. 39 sites were followed up for at least 14 months. Adjusted estimates showed reductions in total antibiotic defined daily doses per acute general medical admission (-4·8% per year, 95% CI -9·1 to -0·2) following the intervention. Among 7 160 421 acute general medical admissions, the ARK intervention was associated with an immediate change of -2·7% (95% CI -5·7 to 0·3) and sustained change of 3·0% (-0·1 to 6·2) in adjusted 30-day mortality.

INTERPRETATION

The antibiotic review kit intervention resulted in sustained reductions in antibiotic use among adult acute general medical inpatients. The weak, inconsistent intervention effects on mortality are probably explained by the onset of the COVID-19 pandemic. Hospitals should use the antibiotic review kit to reduce antibiotic overuse.

FUNDING

UK National Institute for Health and Care Research.

Microbial diversity and antimicrobial resistance in faecal samples from acute medical patients assessed through metagenomic sequencing

Antimicrobial resistance (AMR) is a threat to global public health. However, unsatisfactory approaches to directly measuring the AMR burden carried by individuals has hampered efforts to assess interventions aimed at reducing selection for AMR. Metagenomics can provide accurate detection and quantification of AMR genes within an individual person's faecal flora (their gut "resistome"). Using this approach, we aimed to test the hypothesis that differences in antimicrobial use across different hospitals in the United Kingdom will result in observable differences in the resistome of individual patients. Three National Health Service acute Hospital Trusts with markedly different antibiotic use and Clostridioides difficile infection rates collected faecal samples from anonymous patients which were discarded after C. difficile testing over a period of 9 to 15 months. Metagenomic DNA was extracted from these samples and sequenced using an Illumina NovaSeq 6000 platform. The resulting sequencing reads were analysed for taxonomic composition and for the presence of AMR genes. Among 683 faecal metagenomes we found huge variation between individuals in terms of taxonomic diversity (Shannon Index range 0.10-3.99) and carriage of AMR genes (Median 1.50 genes/cell/sample overall). We found no statistically significant differences in diversity (median Shannon index 2.16 (IQR 1.71-2.56), 2.15 (IQR 1.62-2.50) and 2.26 (IQR 1.55-2.51)) or carriage of AMR genes (median 1.37 genes/cell/sample (IQR 0.70-3.24), 1.70 (IQR 0.70-4.52) and 1.43 (IQR 0.55-3.71)) at the three trusts respectively. This was also the case across the sample collection period within the trusts. While we have not demonstrated differences over place or time using metagenomic sequencing of faecal discards, other sampling frameworks may be more suitable to determine whether organisational level differences in antibiotic use are associated with individual-level differences in burden of AMR carriage.

Analysis of antibiotic use patterns in Danish hospitals 2015-2021 using an adapted version of the who aware classification

BACKGROUND

AWaRe is a tool to categorise and guide antibiotic use. Antibiotics are classified in three groups: Access, Watch and Reserve. The Access group contains first choice antibiotics for 25 of the most common infections. Antibiotics in the Watch and Reserve groups should be restricted to cases that cannot be effectively treated with drugs from the Access group.

OBJECTIVES

The primary aim of this study was to evaluate and adapt the WHO 2019 AWaRe classification for use with antibiotic usage data in Danish hospitals. The secondary aim was to study the usefulness of the abxaware; software package for visualisation and analysis of temporal trends in antibiotic use patterns.

METHODS

We obtained data on purchases of antibiotics in Danish hospitals from January 2015 to July 2021. Sixty-seven unique drugs had been purchased. To better correspond with Danish guidelines, we moved two drugs one AWaRe level upwards. To help aggregate antibiotics according to AWaRe and visualise use patterns, we developed an R package, abxaware.

RESULTS

After adding two drugs that were not included in the original AWaRe classification nearly all antibiotics (>99%) used in Danish hospitals were covered. The abxaware software package for R is a useful tool to help aggregate, visualise and analyse antibiotic use patterns.

CONCLUSIONS

With minor modifications, we adapted the AWaRe classification to cover most antibiotics used in Danish hospitals and to reflect Danish treatment guidelines. The abxaware package is a useful tool to aggregate and plot antibiotic usage data according to the AWaRe classification and to test for non-random variation in the percentage use of Access antibiotics.

Investigating Antimicrobial Resistance and ESBL Producing Gene in Klebsiella Isolates among Neonates and Adolescents in Southern Bangladesh

Background

Multidrug-resistant (MDR) clones of Klebsiella pneumoniae (Kpn) have been increasingly documented in community-acquired and nosocomial infections all around the globe. Extended-spectrum β-lactamases (ESBLs) are a rapidly evolving group of β-lactamase enzymes derived from SHV genes by mutations. This research work aimed to investigate and analyze the widespread prevalence of Kpn antibiotic resistance in different areas of the southern part of Bangladesh.

Methods

This particular study was executed and implemented by using 501 clinical samples or isolates from two different hospitals in Chattogram. The disk diffusion method was used to detect Kpn's sensitivity to 16 antibiotics in a drug susceptibility test. By using the PCR technique, the widespread prevalence of antibiotic-resistant gene bla_SHV-11 was studied. Sequencing along with phylogenetic analysis was utilized to verify isolates with the bla_SHV-11 gene.

Results

Almost all of the Kpn isolates were spotted to be antibiotic-resistant. These Kpn isolates were resistant to β-lactams, aminoglycosides, and quinolones at high levels. The spatial analysis displayed that infections involving Kpn were more common in the urban areas (70%) than in the rural areas (30%). Neonates had substantially higher levels (p < 0.001) of resistance to multidrug than other age groups. Cefepime was identified as the most frequent antibiotic-resistant to all age groups (56.68%). The highest numbers of resistant isolates (36.92%) were found in urine samples. The ESBL gene bla_SHV-11 was found in 38% isolates.

Conclusion

The significant frequency of MDR Kpn harboring β-lactamases and AMR genes strongly suggests the requirement to develop effective antimicrobial resistance control and prevention measures in Bangladesh.

Knowledge, Attitudes, and Practices of Community Pharmacy Professionals on Poultry Antibiotic Dispensing, Use, and Bacterial Antimicrobial Resistance in Zambia: Implications on Antibiotic Stewardship and WHO AWaRe Classification of Antibiotics

Globally, the inappropriate dispensing and use of antibiotics in animals has contributed to the development of bacterial antimicrobial resistance (AMR). In Zambia, there is insufficient information among community pharmacy professionals on antibiotic use (ABU) and AMR in food-producing animals. This study assessed community pharmacy professionals' knowledge, attitudes, and practices regarding poultry antibiotic dispensing, use, and bacterial AMR in the Lusaka district of Zambia. A cross-sectional study was conducted among 178 community pharmacy professionals between February and April 2022 using a semi-structured questionnaire. Data were analyzed using Stata version 17. Of the total participants (n = 178), 51.1% (n = 91) were pharmacists. The most dispensed antibiotic was oxytetracycline, a Watch antibiotic, mainly without prescriptions. Good knowledge of ABU and AMR was associated with work experience for more than one year (p = 0.016), while good practices were associated with male gender (p = 0.039) and work experience of more than one year (p = 0.011). The study found moderate knowledge, positive attitudes, and moderate practices of pharmacy professionals on poultry ABU and AMR. There was high dispensing of poultry antibiotics without prescriptions, which calls for strict implementation of antimicrobial stewardship and surveillance programs in poultry production in Zambia to reduce AMR.

Pattern of Antibiotic Use among Hospitalized Patients according to WHO Access, Watch, Reserve (AWaRe) Classification: Findings from a Point Prevalence Survey in Bangladesh

For supporting antibiotic stewardship interventions, the World Health Organization (WHO) classified antibiotics through the AWaRe (Access, Watch, and Reserve) classification. Inappropriate use of antimicrobials among hospital-admitted patients exposes them to the vulnerability of developing resistant organisms which are difficult to treat. We aimed to describe the proportion of antibiotic use based on the WHO AWaRe classification in tertiary and secondary level hospitals in Bangladesh. A point prevalence survey (PPS) was conducted adapting the WHO PPS design in inpatients departments in 2021. Among the 1417 enrolled patients, 52% were female and 63% were from the 15–64 years age group. Nearly 78% of patients received at least one antibiotic during the survey period. Third-generation cephalosporins (44.6%), penicillins (12.3%), imidazoles (11.8%), aminoglycosides (7.2%), and macrolides (5.8%) were documented as highly used antibiotics. Overall, 64.0% of Watch, 35.6% of Access, and 0.1% of Reserve group antibiotics were used for treatment. The use of Watch group antibiotics was high in medicine wards (78.7%) and overall high use of Watch antibiotics was observed at secondary hospitals (71.5%) compared to tertiary hospitals (60.2%) (p-value of 0.000). Our PPS findings underscore the need for an urgent nationwide antibiotic stewardship program for physicians including the development and implementation of local guidelines and in-service training on antibiotic use.

Adoption of the World Health Organization access, watch reserve index to evaluate and monitor the use of antibiotics at a tertiary care hospital in India

Background

The World Health Organization classification of antibiotics classifies key antibiotics into access, watch, and reserve (AWaRe) categories. Categorization provides a novel metrics called "AWaRe index" to study and monitor antibiotic consumption globally and within the same setting over time.

Aim

The aim of this study is to compare the use of antibiotics in 2 years using the AWaRe index tool.

Materials and Methods

A retrospective study was conducted in SMS Hospital, Jaipur to collect data regarding total antibiotics consumed between January 2017 and December 2018 from drug distribution centers in hospital premises using the AWaRe classification. Data were then compared on yearly basis.

Results

In 2017, 53.31% of antibiotics consumed belonged to access, 40.09% to watch, and 3.40% to reserve category, respectively, as compared to 41.21%, 46.94%, and 8.15%, respectively, in 2018.

Conclusion

Increased use of watch (17%) and reserve antibiotics (140%) over 1 year with the same infection scenario in a similar setting indicates resistance in evolution.

Impact of hospital antibiotic use on patient-level risk of death among 36,124,372 acute and medical admissions in England

OBJECTIVES

Initiatives to curb hospital antibiotic use might be associated with harm from under-treatment. We examined the extent to which variation in hospital antibiotic prescribing is associated with mortality risk in acute/general medicine inpatients.

METHODS

This ecological analysis examined Hospital Episode Statistics from 36,124,372 acute/general medicine admissions (≥16y) to 135 acute hospitals in England, 01/April/2010-31/March/2017. Random-effects meta-regression was used to investigate whether heterogeneity in adjusted 30-day mortality was associated with hospital-level antibiotic use, measured in defined-daily-doses (DDD)/1,000 bed-days. Models also considered DDDs/1,000 admissions and DDDs for narrow-spectrum/broad-spectrum antibiotics, parenteral/oral, and local interpretations of World Health Organization Access, Watch, and Reserve antibiotics.

RESULTS

Hospital-level antibiotic DDDs/1,000 bed-days varied 15-fold with comparable variation in broad-spectrum, parenteral, and Reserve antibiotic use. After extensive adjusting for hospital case-mix, the probability of 30-day mortality changed -0.010% (95% CI: -0.064,+0.044) for each increase of 500 hospital-level antibiotic DDDs/1,000 bed-days. Analyses of other metrics of antibiotic use showed no consistent association with mortality risk.

CONCLUSIONS

We found no evidence that wide variation in hospital antibiotic use is associated with adjusted mortality risk in acute/general medicine inpatients. Using low-prescribing hospitals as benchmarks could help drive safe and substantial reductions in antibiotic consumption of up-to one-third in this population.

Antibiotic consumption among hospitalized neonates and children in Punjab province, Pakistan

BACKGROUND

Periodic surveillance of antibiotic consumption in the form of point prevalence studies is a quick and robust methodology to evaluate prescribing trends in hospitals. The current study was undertaken to document antibiotic consumption among neonates and children from hospitals in Pakistan.

METHODS

This large multicenter study using the World Health Organization standardized methodology and AWaRe (Access, Watch, and Reserve) classification examined antibiotic consumption for suspected bacterial infection among neonates and children admitted hospitals in Punjab, Pakistan.

RESULTS

A total of 708 beds of children wards of the 16 health facilities were examined. Almost all (97%) hospitalized children were prescribed antibiotics on the day of the assessment with 2.6 antibiotics per patient. The three most common indications were respiratory tract infections (31.58%), sepsis (26.52%), and prophylaxis for medical problems (10.30%). The three most frequently prescribed antibiotics were ceftriaxone (24.2%), amikacin (23.2%), and ampicillin (16.7%). Almost half of the antibiotics were prescribed from the 'Access' (49.5%) and 'Watch' (45.5%) categories under the AWaRe classification. However, no antimicrobial was prescribed from the 'Reserved' category.

CONCLUSIONS

Our findings indicate that empirical antimicrobials use among hospitalized children is highly prevalent in Pakistan. The utilization of 'Watch' category of antimicrobials is frequent, stressing immediate action.

Improving Decision Making in Empiric Antibiotic Selection (IDEAS) for Gram-negative Bacteremia: A Prospective Clinical Implementation Study

BACKGROUND

Timely selection of adequate empiric antibiotics has become increasingly difficult due to rising resistance rates and the competing desire to apply antimicrobial stewardship (AMS) principles. Individualized clinical prediction models offer the promise of reducing broad-spectrum antibiotic use and preserving/improving adequacy of treatment, but few have been validated in the clinical setting.

METHODS

Multivariable models were used to predict the probability of susceptibility for gram-negative (GN) bacteria in bloodstream infections (bacteremia) to ceftriaxone, ciprofloxacin, ceftazidime, piperacillin-tazobactam, and meropenem. The models were combined with existing resistance-prediction methods to generate optimized and individualized suggestions for empiric therapy that were provided to prescribers by an AMS pharmacist. De-escalation of empiric antibiotics and adequacy of therapy were analyzed using a quasi-experimental design comparing two 9-month periods (pre- and postintervention) at a large academic tertiary care institution.

RESULTS

Episodes of bacteremia (n = 182) were identified in the preintervention and postintervention (n = 201) periods. Patients who received the intervention were more likely to have their therapy de-escalated (29 vs 21%; aOR = 1.77; 95% CI, 1.09-2.87; P = .02). The intervention also increased the proportion of patients who were on the narrowest adequate therapy at the time of culture finalization (44% in the control and 55% in the intervention group; aOR = 2.04; 95% CI, 1.27-3.27; P = .003). Time to adequate therapy was similar in the intervention and control groups (5 vs 4 hours; P = .95).

CONCLUSIONS

An AMS intervention, based on individualized predictive models for resistance, can influence empiric antibiotic selections for GN bacteremia to facilitate early de-escalation of therapy without compromising adequacy of antibiotic coverage.

Optimising antimicrobial use in humans - review of current evidence and an interdisciplinary consensus on key priorities for research

Addressing the silent pandemic of antimicrobial resistance (AMR) is a focus of the 2021 G7 meeting. A major driver of AMR and poor clinical outcomes is suboptimal antimicrobial use. Current research in AMR is inequitably focused on new drug development. To achieve antimicrobial security we need to balance AMR research efforts between development of new agents and strategies to preserve the efficacy and maximise effectiveness of existing agents. Combining a review of current evidence and multistage engagement with diverse international stakeholders (including those in healthcare, public health, research, patient advocacy and policy) we identified research priorities for optimising antimicrobial use in humans across four broad themes: policy and strategic planning; medicines management and prescribing systems; technology to optimise prescribing; and context, culture and behaviours. Sustainable progress depends on: developing economic and contextually appropriate interventions; facilitating better use of data and prescribing systems across healthcare settings; supporting appropriate and scalable technological innovation. Implementing this strategy for AMR research on the optimisation of antimicrobial use in humans could contribute to equitable global health security.

Surveillance of Antibacterial Usage during the COVID-19 Pandemic in England, 2020

Changes in antibacterial prescribing during the COVID-19 pandemic were anticipated given that the clinical features of severe respiratory infection syndrome caused by SARS-CoV-2 mirror bacterial respiratory tract infections. Antibacterial consumption was measured in items/1000 population for primary care and in Defined Daily Doses (DDDs)/1000 admissions for secondary care in England from 2015 to October 2020. Interrupted time-series analyses were conducted to evaluate the effects of the pandemic on antibacterial consumption. In the community, the rate of antibacterial items prescribed decreased further in 2020 (by an extra 1.4% per month, 95% CI: -2.3 to -0.5) compared to before COVID-19. In hospitals, the volume of antibacterial use decreased during COVID-19 overall (-12.1% compared to pre-COVID, 95% CI: -19.1 to -4.4), although the rate of usage in hospitals increased steeply in April 2020. Use of antibacterials prescribed for respiratory infections and broad-spectrum antibacterials (predominately 'Watch' antibacterials in hospitals) increased in both settings. Overall volumes of antibacterial use at the beginning of the COVID-19 pandemic decreased in both primary and secondary settings, although there were increases in the rate of usage in hospitals in April 2020 and in specific antibacterials. This highlights the importance of antimicrobial stewardship during pandemics to ensure appropriate prescribing and avoid negative consequences on patient outcomes and antimicrobial resistance.

The use of continuous electronic prescribing data to infer trends in antimicrobial consumption and estimate the impact of stewardship interventions in hospitalized children

Background

Understanding antimicrobial consumption is essential to mitigate the development of antimicrobial resistance, yet robust data in children are sparse and methodologically limited. Electronic prescribing systems provide an important opportunity to analyse and report antimicrobial consumption in detail.

Objectives

We investigated the value of electronic prescribing data from a tertiary children’s hospital to report temporal trends in antimicrobial consumption in hospitalized children and compare commonly used metrics of antimicrobial consumption.

Methods

Daily measures of antimicrobial consumption [days of therapy (DOT) and DDDs] were derived from the electronic prescribing system between 2010 and 2018. Autoregressive moving-average models were used to infer trends and the estimates were compared with simulated point prevalence surveys (PPSs).

Results

More than 1.3 million antimicrobial administrations were analysed. There was significant daily and seasonal variation in overall consumption, which reduced annually by 1.77% (95% CI 0.50% to 3.02%). Relative consumption of meropenem decreased by 6.6% annually (95% CI −3.5% to 15.8%) following the expansion of the hospital antimicrobial stewardship programme. DOT and DDDs exhibited similar trends for most antimicrobials, though inconsistencies were observed where changes to dosage guidelines altered consumption calculation by DDDs, but not DOT. PPS simulations resulted in estimates of change over time, which converged on the model estimates, but with much less precision.

Conclusions

Electronic prescribing systems offer significant opportunities to better understand and report antimicrobial consumption in children. This approach to modelling administration data overcomes the limitations of using interval data and dispensary data. It provides substantially more detailed inferences on prescribing patterns and the potential impact of stewardship interventions.

A point prevalence survey of antimicrobial utilisation patterns and quality indices amongst hospitals in South Africa; findings and implications

Objectives: Antimicrobial use is growing, driven mainly by rising demands in developing countries. Knowing how antimicrobials are prescribed is important. Consequently, we undertook a point prevalence survey (PPS) quantifying antimicrobial consumption among 18 public sector hospitals across South Africa.Method: A purpose-built web-based application was used to collect PPS data.Results: Out of 4407 adult patients surveyed, 33.6% were treated with an antimicrobial. The most frequently prescribed groups were a combination of penicillins including β-lactamase inhibitors. Amoxicillin combined with an enzyme inhibitor accounted for 21.4% total DDDs. In the medical and surgical wards, Access antimicrobials (54.1%) were mostly used, while in the ICU, Watch antimicrobials (51.5%) were mostly used. Compliance with the South African Standard Treatment Guidelines and Essential Medicines List was 90.2%; however, concerns with extended use of antimicrobials for surgical prophylaxis (73.2% of patients).Conclusion: The web-based PPS tool was easy to use and successful in capturing PPS data since the results were comparable to other PPS studies across Africa. High use of amoxicillin combined with an enzyme inhibitor, possibly because it was among the broad-spectrum antimicrobials in the Access group. The findings will assist with future targets to improve antimicrobial prescribing among public sector hospitals in South Africa.

Progress towards antibiotic use targets in eight high-income countries

Objective

To compare antibiotic sales in eight high-income countries using the 2019 World Health Organization (WHO) Access, Watch and Reserve (AWaRe) classification and the target of 60% consumption of Access category antibiotics.

Methods

We analysed data from a commercial database of sales of systemic antibiotics in France, Germany, Italy, Japan, Spain, Switzerland, United Kingdom of Great Britain and Northern Ireland, and United States of America over the years 2013-2018. We classified antibiotics according to the 2019 AWaRe categories: Access, Watch, Reserve and Not Recommended. We measured antibiotic sales per capita in standard units (SU) per capita and calculated Access group sales as a percentage of total antibiotic sales.

Findings

In 2018, per capita antibiotic sales ranged from 7.4 SU (Switzerland) to 20.0 SU (France); median sales of Access group antibiotics were 10.9 SU per capita (range: 3.5-15.0). Per capita sales declined moderately over 2013-2018. The median percentage of Access group antibiotics was 68% (range: 22-77 %); the Access group proportion increased in most countries between 2013 and 2018. Five countries exceeded the 60% target; two countries narrowly missed it (> 55% in Germany and Italy). Sales of Access antibiotics in Japan were low (22%), driven by relatively high sales of oral cephalosporins and macrolides.

Conclusion

We have identified changes to prescribing that could allow countries to achieve the WHO target. The 60% Access group target provides a framework to inform national antibiotic policies and could be complemented by absolute measures and more ambitious values in specific settings.

Antimicrobial Stewardship and Its Impact on the Changing Epidemiology of Polymyxin Use in a South Indian Healthcare Setting

Polymyxins being last resort drugs to treat infections triggered by multidrug-resistant pathogens necessitates the implementation of antimicrobial stewardship program (ASP) initiatives to support its rational prescription across healthcare settings. Our study aims to describe the change in the epidemiology of polymyxins and patient outcomes following the implementation of ASP at our institution. The antimicrobial stewardship program initiated in February 2016 at our 1300 bed tertiary care center involved post-prescriptive audits tracking polymyxin consumption and evaluating prescription appropriateness in terms of the right indication, right frequency, right drug, right duration of therapy and administration of the right loading dose (LD) and maintenance dose (MD). Among the 2442 polymyxin prescriptions tracked over the entire study period ranging from February 2016 to January 2020, the number of prescriptions dropped from 772 prescriptions in the pre-implementation period to an average of 417 per year during the post-implementation period, recording a 45% reduction. The quarterly patient survival rates had a significant positive correlation with the quarterly prescription appropriateness rates (r = 0.4774, p = 0.02), right loading dose (r = 0.5228, p = 0.015) and right duration (r = 0.4361, p = 0.04). Our study on the epidemiology of polymyxin use demonstrated favorable effects on the appropriateness of prescriptions and mortality benefits after successful implementation of antimicrobial stewardship in a real-world setting.

Increase and Change in the Pattern of Antibiotic Use in Serbia (2010-2019)

The aim of this study was to determine and describe trends in antibiotics utilization in Serbia over a ten-year period. Data were retrieved from publicly available annual reports (2010-2019). The results were expressed as Defined Daily Dose (DDD) per 1000 inhabitants per day (DID). All calculations were performed using the DDD values for the 2020 Anatomical Therapeutic Chemical/Defined Daily Dose (ATC/DDD) version for each year of the study, to account for the DDD changes during the study period. Antibiotics were classified using the WHO Access, Watch, Reserve (AWaRe) classification. Total utilization of antibacterials for systemic use increased from 17.25 DID in 2010 to 28.65 DID in 2019. A statistically significant increasing trend in the use of the Watch category antibiotics was observed. A tendency towards use of broad-spectrum antibiotics, apparent by a statistically significant increase in the rate of utilization of broad-spectrum macrolides, quinolones and third-generation cephalosporins vs. narrow-spectrum ones, as well as a significant increasing trend in the use of quinolones was identified. Total antibiotic utilization was found to be well above the European average. Several specific problem areas were identified, which requires further efforts to improve antibiotic prescribing. The present study provides the information needed to facilitate antibiotic stewardship in Serbia further and proposes specific interventions to optimize antibiotic use in Serbia.

Comparative analysis of Australian hospital antimicrobial utilization, using the WHO AWaRe classification system and the adapted Australian Priority Antimicrobial List (PAL)

Background

In 2020 the Australian Priority Antibacterial List (PAL) was developed to support national surveillance of antibacterial usage.

Objectives

To compare the WHO AwaRe classification system with the Australian PAL to analyse antibacterial utilization in Australian acute care hospitals.

Methods

Monthly antibacterial usage rates (defined daily dose per 1000 occupied bed days) were calculated using pharmacy dispensing records together with patient occupancy data for all acute care hospitals contributing to the National Antimicrobial Utilisation Surveillance Program for 2015-19. Annual usage rates as a proportion were determined using the WHO AWaRe and Australian PAL categorization systems.

Results

In 2019, 70.0% of total-hospital aggregate antibacterial use in Australian acute-care hospitals fell into the WHO Access category, with 29.4% of usage in Watch and 0.6% in the Reserve category. Analysis using the PAL classification system showed 40.1% of hospital usage fell into the Access category, 55.6% in Curb and 3.8% in the Contain categories. On average, cefazolin usage comprised 12.5% of acute hospital usage.

Conclusions

Cefazolin, a first-line agent for surgical prophylaxis in Australia, was identified as a key antibacterial driving the differing results seen between the two classification systems. Data on the proportions of day surgery relative to inpatient surgical cases would assist the accuracy of benchmarking usage between hospitals using the PAL categorization system. The use of a targeted, nationally approved prioritized classification system can provide a focus for antimicrobial stewardship at a national level, however a clear understanding of the consumption metric used, as well as its limitations, are required for interpretation.

Evaluation of Antibiotic Use in Kazakhstan for the Period 2017-2019 Based on WHO Access, Watch and Reserve Classification (AWaRe 2019)

The purpose of this study is to conduct a comparative analysis of the consumption of antibiotics for systemic use reimbursed by the state in Kazakhstan for 2017–2019 with the Access, Watch, and Reserve classification (AWaRe 2019) of the World Health Organization (WHO). The evaluation of the consumption of antibiotics for systemic use in Kazakhstan for 2017–2019 was carried out using the ATC/DDD methodology in accordance with the WHO AWaRe classification. The study used data on all antibiotics that were centrally purchased by a single purchaser during the study period. To understand how often Access group antibiotics are taken in Kazakhstan, the top-10 most consumed antibiotics were additionally studied. The results of a comparative analysis of the antibiotics for systemic use consumption for 2017–2019 by the Access, Watch, and Reserve groups showed a negative trend of a decrease in the consumption of Access group drugs from 1.17 defined daily dose (DDDs) per 1000 inhabitants per day (DID) (39%) in 2017 to 0.59 DID (30%) in 2019. There is an increase in consumption of Watch group antibiotics from 1.84 DID (61%) in 2017 to 1.37 DID (68%) in 2019, as well as an increase in consumption of Reserve antibiotics from 0.001 DID (0.03%) to 0.4 DID (2.11%). In recent years in Kazakhstan, there has been a decrease in the consumption of Access group antibiotics. In addition, the Watch group antibiotics are widely consumed with a certain upward trend. In 2019, one Reserve antibiotic was included in the top-10 most commonly consumed antibiotics. There is a predominant consumption of parenteral forms of antibiotics for systemic use in the country.

Antimicrobial susceptibility patterns of bacteria that commonly cause bacteremia at a tertiary hospital in Zambia

Background: Bloodstream infections and antimicrobial resistance cause global increases in morbidity and mortality. Aim: We evaluated the antimicrobial susceptibility patterns of bacteria that commonly cause bacteremia in humans. Materials & methods: We conducted a retrospective cross-sectional study at the University Teaching Hospitals in Lusaka, Zambia, using Laboratory Information Systems. Results: The commonest isolated bacteria associated with sepsis were Klebsiella pneumoniae. The distribution of bacteria associated with bacteremia in different wards and departments pneumonia. The distribution of bacteria associated with bacteremia in different wards and departments at University Teaching Hospitals was were statistically significant (χ2 = 1211.518; p < 0.001). Conclusion: K. pneumoniae, Escherichia coli, Pantoea agglomerans and Enterococcus species have developed high resistance levels against ampicillin, cefotaxime, ciprofloxacin, gentamicin and trimethoprim/sulfamethoxazole and a very low resistance levels against imipenem and Amikacin.

White Paper: Bridging the gap between human and animal surveillance data, antibiotic policy and stewardship in the hospital sector-practical guidance from the JPIAMR ARCH and COMBACTE-MAGNET EPI-Net networks

BACKGROUND

Antimicrobial surveillance and antimicrobial stewardship (AMS) are essential pillars in the fight against antimicrobial resistance (AMR), but practical guidance on how surveillance data should be linked to AMS activities is lacking. This issue is particularly complex in the hospital setting due to structural heterogeneity of hospital facilities and services. The JPIAMR ARCH and COMBACTE-MAGNET EPI-Net networks have joined efforts to formulate a set of target actions for linking surveillance data with AMS activities.

METHODS

A scoping review of the literature was carried out addressing research questions on three areas: (i) AMS leadership and accountability; (ii) antimicrobial usage and AMS; (iii) AMR and AMS. Consensus on the target actions was reached through a RAND-modified Delphi process involving over 40 experts in different fields from 18 countries.

RESULTS

Evidence was retrieved from 51 documents. Initially 38 targets were proposed, differentiated as essential or desirable according to clinical relevance, feasibility and applicability to settings and resources. In the first consultation round, preliminary agreement was reached for 32 targets. Following a second consultation, 27 targets were approved, 11 were deleted and 4 were suggested for rephrasing, leading to a final approved list of 34 target actions in the form of a practical checklist.

CONCLUSIONS

This White Paper provides a pragmatic and flexible tool to guide the development of calibrated hospital-surveillance-based AMS interventions. The strength of this tool is that it is a comprehensive perspective that takes into account the hospital patient case-mix and the related epidemiology, which ultimately drives antimicrobial usage, and the feasibility in low-resource settings.

White Paper: Bridging the gap between surveillance data and antimicrobial stewardship in long-term care facilities-practical guidance from the JPIAMR ARCH and COMBACTE-MAGNET EPI-Net networks

BACKGROUND

In long-term care facilities (LTCFs) residents often receive inappropriate antibiotic treatment and infection prevention and control practices are frequently inadequate, thus favouring acquisition of MDR organisms. There is increasing evidence in the literature describing antimicrobial stewardship (AMS) activities in LTCFs, but practical guidance on how surveillance data should be linked with AMS activities in this setting is lacking. To bridge this gap, the JPIAMR ARCH and COMBACTE-MAGNET EPI-Net networks joined their efforts to provide practical guidance for linking surveillance data with AMS activities.

MATERIALS AND METHODS

Considering the three main topics [AMS leadership and accountability, antimicrobial usage (AMU) and AMS, and antimicrobial resistance (AMR) and AMS], a literature review was performed and a list of target actions was developed. Consensus on target actions was reached through a RAND-modified Delphi process involving 40 experts from 18 countries and different professional backgrounds adopting a One Health approach.

RESULTS

From the 25 documents identified, 25 target actions were retrieved and proposed for expert evaluation. The consensus process produced a practical checklist including 23 target actions, differentiating between essential and desirable targets according to clinical relevance and feasibility. Flexible proposals for AMS team composition and leadership were provided, with a strong emphasis on the need for well-defined and adequately supported roles and responsibilities. Specific antimicrobial classes, AMU metrics, pathogens and resistance patterns to be monitored are addressed. Effective reporting strategies are described.

CONCLUSIONS

The proposed checklist represents a practical tool to support local AMS teams across a wide range of care delivery organization and availability of resources.

Identifying Antibiotic Prescribing Patterns Through Multi-Level Latent Profile Analyses: A Cross-Sectional Survey of Primary Care Physicians

Background: Overuse of antibiotics significantly fuels the development of Antimicrobial resistance, which threating the global population health. Great variations existed in antibiotic prescribing practices among physicians, indicating improvement potential for rational use of antibiotics. This study aims to identify antibiotic prescribing patterns of primary care physicians and potential determinants. Methods: A cross-sectional survey was conducted on 551 physicians from 67 primary care facilities in Hubei selected through random cluster sampling, tapping into their knowledge, attitudes and prescribing practices toward antibiotics. Prescriptions (n = 501,072) made by the participants from 1 January to March 31, 2018 were extracted from the medical records system. Seven indicators were calculated for each prescriber: average number of medicines per prescription, average number of antibiotics per prescription, percentage of prescriptions containing antibiotics, percentage of antibiotic prescriptions containing broad-spectrum antibiotics, percentage of antibiotic prescriptions containing parenteral administered antibiotics, percentage of antibiotic prescriptions containing restricted antibiotics, and percentage of antibiotic prescriptions containing antibiotics included in the WHO "Watch and Reserve" list. Two-level latent profile analyses were performed to identify the antibiotic prescribing patterns of physicians based on those indicators. Multi-nominal logistic regression models were established to identify determinants with the antibiotic prescribing patterns. Results: On average, each primary care physician issued 909 (ranging from 100 to 11,941 with a median of 474) prescriptions over the study period. The mean percentage of prescriptions containing antibiotics issued by the physicians reached 52.19% (SD = 17.20%). Of those antibiotic prescriptions, an average of 82.29% (SD = 15.83%) contained broad-spectrum antibiotics; 71.92% (SD = 21.42%) contained parenteral administered antibiotics; 23.52% (SD = 19.12%) contained antibiotics restricted by the regional government; and 67.74% (SD = 20.98%) contained antibiotics listed in the WHO "Watch and Reserve" list. About 28.49% of the prescribers were identified as low antibiotic users, compared with 51.18% medium users and 20.33% high users. Higher use of antibiotics was associated with insufficient knowledge, indifference to changes, complacency with satisfied patients, low household income and rural location of the prescribers. Conclusion: Great variation in antibiotic prescribing patterns exists among primary care physicians in Hubei of China. High use of antibiotics is not only associated with knowledge shortfalls but also low socioeconomic status of prescribers.

Patterns of Antibiotic Prescription in Colombia: Are There Differences between Capital Cities and Municipalities?

The use of antibiotics is the most important modifiable risk factor for the development of microorganism resistance. A cross-sectional study of outpatients receiving antibiotic prescriptions registered in a population database in Colombia was conducted. The characteristics of the consumption in capital cities and small municipalities was studied and the AWaRe classification was used. AWaRe classifies antibiotics into three stewardship groups: Access, Watch and Reserve, to emphasize the importance of their optimal use and potential harms of antimicrobial resistance. A total of 182,397 patients were prescribed an antibiotic; the most common were penicillins (38.6%), cephalosporins (30.2%) and fluoroquinolones (10.9%). ‘Access’ antibiotics (86.4%) were the most frequently prescribed, followed by ‘Watch’ antibiotics (17.0%). Being 18 or older, being male, living in a municipality, having one or more comorbidities and urinary, respiratory or gastrointestinal disorders increased the probability of receiving ‘Watch’ or ‘Reserve’ antibiotics. Penicillin and urinary antiseptic prescriptions predominated in cities, while cephalosporin and fluoroquinolone prescriptions predominated in municipalities. This analysis showed that the goal set by the WHO Access of mainly using Access antibiotics is being met, although the high use of Watch antibiotics in municipalities should be carefully studied to determine if it is necessary to design specific campaigns to improve antibiotics use.

Fixed dose drug combinations - are they pharmacoeconomically sound? Findings and implications especially for lower- and middle-income countries

Introduction: There are positive aspects regarding the prescribing of fixed dose combinations (FDCs) versus prescribing the medicines separately. However, these have to be balanced against concerns including increased costs and their irrationality in some cases. Consequently, there is a need to review their value among lower- and middle-income countries (LMICs) which have the greatest prevalence of both infectious and noninfectious diseases and issues of affordability.Areas covered: Review of potential advantages, disadvantages, cost-effectiveness, and availability of FDCs in high priority disease areas in LMICs and possible initiatives to enhance the prescribing of valued FDCs and limit their use where there are concerns with their value.Expert commentary: FDCs are valued across LMICs. Advantages include potentially improved response rates, reduced adverse reactions, increased adherence rates, and reduced costs. Concerns include increased chances of drug:drug interactions, reduced effectiveness, potential for imprecise diagnoses and higher unjustified prices. Overall certain FDCs including those for malaria, tuberculosis, and hypertension are valued and listed in the country's essential medicine lists, with initiatives needed to enhance their prescribing where currently low prescribing rates. Proposed initiatives include robust clinical and economic data to address the current paucity of pharmacoeconomic data. Irrational FDCs persists in some countries which are being addressed.