Analysis of the use of antibiotics by AWaRe categories during the COVID-19 pandemic in hospitals across Scotland: a national population-based study.

OBJECTIVE: The Access, Watch and Reserve (AWaRe) list of antibiotics was developed by the WHO to support antibiotic stewardship programmes (ASP). The Access group incorporates first-line options, while Watch antibiotics have higher resistance potential or toxicity, and Reserve drugs should be used only for complex infections. ASP implementation has been challenged during the COVID-19 pandemic. There is a knowledge gap regarding in-hospital prescribing patterns of antibiotics nationally during the COVID-19 pandemic, and on the characteristics of hospitalised patients prescribed antibiotics during this time. We aimed to evaluate quality of antibiotic use according to AWaRe classification in Scottish hospitals, including assessing the impact of COVID-19 on trends. METHODS: Cross-sectional study of antibiotics prescribed to hospitalised patients from 1 January 2019 to 30 June 2022 in a selection of Scottish hospitals, covering approximately 60% (3.6 million people) of the Scottish population. Data were obtained from the Hospital Electronic Prescribing and Medicines Administration system. Prescribing trends were explored over time, by age and by sex. RESULTS: Overall, a total 1 353 003 prescriptions were identified. An increase in Access antibiotics was found from 55.3% (31 901/57 708) to 62.3% (106 449/170 995) over the study period, alongside a decrease in Watch antibiotics from 42.9% (24 772/57 708) to 35.4% (60 632/170 995). Reserve antibiotic use was limited throughout, with minor changes over time. Changes in prescribing were most pronounced in the older age group (>65 years): proportions of Access antibiotics increased from 56.4% (19 353/34 337) to 65.8% (64 387/97 815, p<0.05), while Watch antibiotics decreased from 41.9% (14 376/34 337) to 32.3% (31 568/97 815, p<0.05) between Q1 2019 and Q2 2022. Differences between males and females were insignificant. CONCLUSIONS: Findings showed encouraging trends in Access and Watch use among hospitalised patients, in line with Scottish national standards. There was no noteworthy effect of COVID-19 on prescribing trends despite reports indicating stewardship programmes being negatively impacted by the pandemic.

Real-world severe COVID-19 outcomes associated with use of antivirals and neutralising monoclonal antibodies in Scotland.

We sought to investigate the incidence of severe COVID-19 outcomes after treatment with antivirals and neutralising monoclonal antibodies, and estimate the comparative effectiveness of treatments in community-based individuals. We conducted a retrospective cohort study investigating clinical outcomes of hospitalisation, intensive care unit admission and death, in those treated with antivirals and monoclonal antibodies for COVID-19 in Scotland between December 2021 and September 2022. We compared the effect of various treatments on the risk of severe COVID-19 outcomes, stratified by most prevalent sub-lineage at that time, and controlling for comorbidities and other patient characteristics. We identified 14,365 individuals treated for COVID-19 during our study period, some of whom were treated for multiple infections. The incidence of severe COVID-19 outcomes (inpatient admission or death) in community-treated patients (81% of all treatment episodes) was 1.2% (n = 137/11894, 95% CI 1.0-1.4), compared to 32.8% in those treated in hospital for acute COVID-19 (re-admissions or death; n = 40/122, 95% CI 25.1-41.5). For community-treated patients, there was a lower risk of severe outcomes (inpatient admission or death) in younger patients, and in those who had received three or more COVID-19 vaccinations. During the period in which BA.2 was the most prevalent sub-lineage in the UK, sotrovimab was associated with a reduced treatment effect compared to nirmaltrelvir + ritonavir. However, since BA.5 has been the most prevalent sub-lineage in the UK, both sotrovimab and nirmaltrelvir + ritonavir were associated with similarly lower incidence of severe outcomes than molnupiravir. Around 1% of those treated for COVID-19 with antivirals or neutralising monoclonal antibodies required hospital admission. During the period in which BA.5 was the prevalent sub-lineages in the UK, molnupiravir was associated with the highest incidence of severe outcomes in community-treated patients.

Data Resource Profile: The Hospital Electronic Prescribing and Medicines Administration (HEPMA) National Data Collection in Scotland.

Introduction: To support both electronic prescribing and documentation of medicines administration in secondary care, hospitals in Scotland are currently implementing the Hospital Electronic Prescribing and Medicines Administration (HEPMA) software. Driven by the COVID-19 pandemic, agreements have been put in place to centrally collate data stemming from the operational HEPMA system. The aim was to develop a national data resource based on records created in secondary care, in line with pre-existing collections of data from primary care. Methods: HEPMA is a live clinical system and updated on a continuous basis. Data is automatically extracted from local systems at least weekly and, in most cases, on a nightly basis, and integrated into the national HEPMA dataset. Subsequently, the data are subject to quality checks including data consistency and completeness. Records contain a unique patient identified (Community Health Index number), enabling linkage to other routinely collected data including primary care prescriptions, hospital admission episodes, and death records. Results: The HEPMA data resource captures and compiles information on all medicines prescribed within the ward/hospital covered by the system; this includes medicine name, formulation, strength, dose, route, and frequency of administration, and dates and times of prescribing. In addition, the HEPMA dataset also captures information on medicines administration, including dates and time of administration. Data is available from January 2019 onwards and held by Public Health Scotland. Conclusion: The national HEPMA data resource supports cross-sectional/point-prevalence studies including drug utilisation studies, and also offers scope to conduct longitudinal studies, e.g., cohort and case-control studies. With the possibility to link to other relevant datasets, additional areas of interest may include health policy evaluations and health economics studies. Access to data is subject to approval; researchers need to contact the electronic Data Research and Innovation Service (eDRIS) in the first instance.

Evaluation of duration of antibiotic therapy across hospitals in Scotland including the impact of COVID-19 pandemic: a segmented interrupted time series analysis.

BACKGROUND: Little is known about the duration of antibiotic use in hospital settings. We evaluated the duration of hospital antibiotic therapy for four commonly prescribed antibiotics (amoxicillin, co-amoxiclav, doxycycline, and flucloxacillin) including the assessment of COVID-19 impact. METHODS: A repeated, cross-sectional study using the Hospital Electronic Prescribing and Medicines Administration system (January/2019-March/2022). Monthly median duration of therapy/duration categories was calculated, stratified by routes of administration, age, and sex. The impact of COVID-19 was assessed using segmented time-series analysis. RESULTS: There were significant variations in the median duration of therapy across routes of administration (P < 0.05), with the highest value among those antibiotic courses composed of both oral and IV antibiotics ('Both' group). Significantly higher proportions of prescriptions within the 'Both' group had a duration of >7 days compared to oral or IV. The duration of therapy differed significantly by age. Some small statistically significant changes in the level/trends of duration of therapy were observed in the post-COVID-19 period. CONCLUSIONS: No evidence for prolonged duration of therapy were observed, even during COVID-19 pandemic. The duration of IV therapy was relatively short, suggesting timely clinical review and consideration of IV to oral switch. Longer duration of therapy was observed among older patients.

Assessing medication use patterns in patients hospitalised with COVID-19: a retrospective study.

OBJECTIVE: To describe patterns of medication use-that is, dexamethasone; remdesivir; and tocilizumab-in the management of patients hospitalised with COVID-19. DESIGN AND SETTING: Retrospective observational study, using routinely collected, linked electronic data from clinical practice in Scotland. Data on drug exposure in secondary care has been obtained from the Hospital Electronic Prescribing and Medicines Administration System. PARTICIPANTS: Patients being treated with the drugs of interest and hospitalised for COVID-19 between 1 March 2020 and 10 November 2021. OUTCOMES: Identification of patients subject to the treatments of interest; summary of patients' baseline characteristics; description of medication use patterns and treatment episodes. Analyses were descriptive in nature. RESULTS: Overall, 4063 patients matching the inclusion criteria were identified in Scotland, with a median (IQR) age of 64 years (52-76). Among all patients, 81.4% (n=3307) and 17.8% (n=725) were treated with one or two medicines, respectively; dexamethasone monotherapy accounted for the majority (n=3094, 76.2%) followed by dexamethasone in combination with tocilizumab (n=530, 13.0%). Treatment patterns were variable over time but roughly followed the waves of COVID-19 infections; however, the different drugs were used to varying degrees during the study period.The median (IQR) treatment duration differed by medicine: dexamethasone 5 days (2-9); remdesivir 5 days (2-5); and tocilizumab 1 day (1-1). The overall median (IQR) length of hospital stay among all patients included in the study cohort was 9 days (5-17); 24.7% of patients died in hospital. CONCLUSION: The use of adjuvant medicines in patients hospitalised with COVID-19 appears in line with evolving evidence and changing treatment guidelines. In-hospital electronic prescribing systems are a valuable source of information, providing detailed patient-level data on in-hospital drug use.