Abstract

IntroductionIn secondary care, antimicrobial use (AMU) must be monitored to reduce the risk of antimicrobial resistance and infection-related complications. However, there is variation in how hospitals address this challenge, partly driven by each site’s level of digital maturity, expertise and resources available. This systematic review investigated approaches to measuring AMU to explore how these structural differences may present barriers to engagement with AMU surveillance.MethodsWe searched four digital databases and the websites of relevant organizations for studies in high-income, inpatient hospital settings that estimated AMU in adults. Excluded studies focused exclusively on antiviral or antifungal therapies. Data were extracted data on 12 fields (study description, data sources, data extraction methods and professionals involved in surveillance). Proportions were estimated with 95% CIs.ResultsWe identified 145 reports of antimicrobial surveillance from Europe (63), North America (53), Oceania (14), Asia (13) and across more than continent (2) between 1977 and 2018. Of 145 studies, 47 carried out surveillance based on digital data sources. In regions with access to electronic patient records, 26/47 studies employed manual methods to extract the data. The majority of identified professionals involved in these studies were clinically trained (87/93).ConclusionsEven in regions with access to electronic datasets, hospitals rely on manual data extraction for this work. Data extraction is undertaken by healthcare professionals, who may have conflicting priorities. Reducing barriers to engagement in AMU surveillance requires investment in methods, resources and training so that hospitals can extract and analyse data already contained within electronic patient records.

Highlights

  • In secondary care, antimicrobial use (AMU) must be monitored to reduce the risk of antimicrobial resistance and infection-related complications

  • In high-income settings, most AMU is regulated by healthcare professionals and the majority of AMU is prescribed in primary care, there is a concentration of use in secondary care settings

  • This review describes the data sources, data extraction methods and professionals involved in AMU surveillance approaches in the high-income secondary care setting

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Summary

Introduction

Antimicrobial use (AMU) must be monitored to reduce the risk of antimicrobial resistance and infection-related complications. The prevalence of hospital inpatients on antimicrobial therapy is around 30%7,8 and some 30% of these prescriptions may not be in line with guidelines for AMU.[9,10] Antimicrobial stewardship (AMS) promotes and monitors judicious use of antimicrobials to preserve their effectiveness,[11] but this requires access to information about the volume and type of AMU across the hospital, for example to benchmark patterns of prescribing between wards or specialties and target interventions to where they can have the greatest impact. When a patient is admitted to hospital for several days and their clinical care and antibiotic prescriptions are managed by several specialty care teams, large datasets are a pre-requisite to being able to benchmark effectively

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