AmWeb: a novel interactive web tool for antimicrobial resistance surveillance, applicable to both community and hospital patients

Ironmonger, Dean; Edeghere, Obaghe; Gossain, Savita; Bains, Amardeep; Hawkey, Peter M.

doi:10.1093/jac/dkt181

Cited by 9 publications

(11 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…S6), when restricting the analysis to England ( Supplementary Fig. S7), and when analysing the seasonality of urine samples submitted to the AmSurv database [27] in the West Midlands (data not presented here). Figure 2 shows the seasonality of the rate of UTI consultations by sex and large groupings of age for which we have shown seasonality to vary (<85 and 85+).…”

Section: Seasonality By Agementioning

confidence: 99%

Seasonality of urinary tract infections in the United Kingdom in different age groups: longitudinal analysis of The Health Improvement Network (THIN)

et al. 2017

View full text Add to dashboard Cite

Evidence regarding the seasonality of urinary tract infection (UTI) consultations in primary care is conflicting and methodologically poor. To our knowledge, this is the first study to determine whether this seasonality exists in the UK, identify the peak months and describe seasonality by age. The monthly number of UTI consultations (N = 992 803) and nitrofurantoin and trimethoprim prescriptions (N = 1 719 416) during 2008-2015 was extracted from The Health Improvement Network (THIN), a large nationally representative UK dataset of electronic patient records. Negative binomial regression models were fitted to these data to investigate seasonal fluctuations by age group (14-17, 18-24, 25-45, 46-69, 70-84, 85+) and by sex, accounting for a change in the rate of UTI over the study period. A September to November peak in UTI consultation incidence was observed for ages 14-69. This seasonality progressively faded in older age groups and no seasonality was found in individuals aged 85+, in whom UTIs were most common. UTIs were rare in males but followed a similar seasonal pattern than in females. We show strong evidence of an autumnal seasonality for UTIs in individuals under 70 years of age and a lack of seasonality in the very old. These findings should provide helpful information when interpreting surveillance reports and the results of interventions against UTI.

show abstract

Section: Seasonality By Agementioning

confidence: 99%

Seasonality of urinary tract infections in the United Kingdom in different age groups: longitudinal analysis of The Health Improvement Network (THIN)

et al. 2017

View full text Add to dashboard Cite

show abstract

“…The World Health Organization (WHO) provides WHONET database software, which is used for collecting data in some areas, while the European Antimicrobial Resistance Surveillance Network (EARS-NET) provides resistance information on blood and cerebrospinal fluid isolates across Europe. 159 EARS-NET identified the early accumulation of carbapenemases in K. pneumoniae in Greece, 160 although they are now also In the UK (except Scotland), PHE collects susceptibility data in a voluntary scheme for bloodstream isolates of all species. The Second Generation Surveillance System is a web-enabled database application that collects both communicable disease reports (which were previously collected by the UK CoSurv system and include bloodstream isolates) and antimicrobial resistance reports (which were previously collected by the UK AmSurv system).…”

Section: What National Surveillance Is Performed and How Should It Bementioning

confidence: 99%

“…The Second Generation Surveillance System is a web-enabled database application that collects both communicable disease reports (which were previously collected by the UK CoSurv system and include bloodstream isolates) and antimicrobial resistance reports (which were previously collected by the UK AmSurv system). 159 Antimicrobial resistance reporting is voluntary and only applies to England, but now covers over 80% of laboratories. In May 2015, an enhanced surveillance system for the surveillance of carbapenemase-producing Gramnegative bacteria was launched.…”

Section: What National Surveillance Is Performed and How Should It Bementioning

confidence: 99%

Prevention and control of multi-drug-resistant Gram-negative bacteria: recommendations from a Joint Working Party

Wilson

Livermore

Otter

et al. 2016

Journal of Hospital Infection

121

View full text Add to dashboard Cite

Multi-drug-resistant (MDR) Gram-negative bacterial infections have become prevalent in some European countries. Moreover, increased use of broad-spectrum antimicrobial agents selects organisms with resistance and, by increasing their numbers, increases their chance of spread. This report describes measures that are clinically effective for preventing transmission when used by healthcare workers in acute and primary healthcare premises. Methods for systematic review 1946–2014 were in accordance with SIGN 501 and the Cochrane Collaboration;2 critical appraisal was applied using AGREEII.3 Accepted guidelines were used as part of the evidence base and to support expert consensus. Questions for review were derived from the Working Party Group, which included patient representatives in accordance with the Patient Intervention Comparison Outcome (PICO) process. Recommendations are made in the following areas: screening, diagnosis and infection control precautions including hand hygiene, single-room accommodation, and environmental screening and cleaning. Recommendations for specific organisms are given where there are species differences. Antibiotic stewardship is covered in a separate publication

show abstract

“…Those applications were found to facilitate approval and enhance communication among prescribers and pharmacists and reduce the number of restricted antimicrobials. Some web based applications have been developed to enhance surveillance for resistance [39,40] while others interface to a database to provide assessment of antimicrobial therapy and was used to reduce antimicrobial therapy and C. difficile infection in the ICU [41].…”

Section: Previous Use Of Electronic Methods For Aspmentioning

confidence: 99%

Use of Computer Decision Support in an Antimicrobial Stewardship Program (ASP)

et al. 2015

View full text Add to dashboard Cite

SummaryObjective: Document information needs, gaps within the current electronic applications and reports, and workflow interruptions requiring manual information searches that decreased the ability of our antimicrobial stewardship program (ASP) at Intermountain Healthcare (IH) to prospectively audit and provide feedback to clinicians to improve antimicrobial use. Methods: A framework was used to provide access to patient information contained in the electronic medical record, the enterprise-wide data warehouse, the data-driven alert file and the enterprise-wide encounter file to generate alerts and reports via pagers, emails and through the Centers for Diseases and Control's National Healthcare Surveillance Network. Results: Four new applications were developed and used by ASPs at Intermountain Medical Center (IMC) and Primary Children's Hospital (PCH) based on the design and input from the pharmacists and infectious diseases physicians and the new Center for Diseases Control and Prevention/ National Healthcare Safety Network (NHSN) antibiotic utilization specifications. Data from IMC and PCH now show a general decrease in the use of drugs initially targeted by the ASP at both facilities. Conclusions: To be effective, ASPs need an enormous amount of "timely" information. Members of the ASP at IH report these new applications help them improve antibiotic use by allowing efficient, timely review and effective prioritization of patients receiving antimicrobials in order to optimize patient care.

show abstract

AmWeb: a novel interactive web tool for antimicrobial resistance surveillance, applicable to both community and hospital patients

Cited by 9 publications

References 20 publications

Seasonality of urinary tract infections in the United Kingdom in different age groups: longitudinal analysis of The Health Improvement Network (THIN)

Seasonality of urinary tract infections in the United Kingdom in different age groups: longitudinal analysis of The Health Improvement Network (THIN)

Prevention and control of multi-drug-resistant Gram-negative bacteria: recommendations from a Joint Working Party

Use of Computer Decision Support in an Antimicrobial Stewardship Program (ASP)

Contact Info

Product

Resources

About