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

Design & development of customizable web API for interoperability of antimicrobial resistance data

Antimicrobial resistance (AMR) is a global health emergency. Complementary to developing new drugs, AMR can be monitored and controlled through cost-effective active surveillance of resistance. As an initiative to monitor resistance, countries all across the globe are collecting data using a variety of surveillance tools. Moreover, hospitals routinely collect the AMR data for treatment which is being stored in their Laboratory and Hospital Information systems (LIS-HIS). The generated clinical data is collected & stored in various formats, making it very difficult to analyze and generate national reports. To integrate the stored clinical data for predictive modeling and analysis, there is an immediate need for a one-stop data repository capable of importing and exporting data in simple data exchange formats (CSV/Excel). The paper highlights the design & development of i-DIA, a python-based web API to facilitate the interoperability of AMR data by automatically importing the bulk of medical data from CSV files into generic data management and analysis system. The i-DIA has been integrated and tested with the ICMR's AMR surveillance network on in-house developed software, i-AMRSS. The i-AMRSS is presently collecting data from 31 laboratories across India and i-DIA has been used to import data generated from LIS & HIS of a few hospitals directly into the system. The paper also proposes the complete web-based framework (an extension of i-DIA) integrated with peer-to-peer system architecture.

Developing a hybrid antimicrobial resistance surveillance system in India: Needs & challenges

Growing resistance to antimicrobials has become one of the most important problems of the 21^st century. The development of new antibiotics is a time-consuming process involving huge financial resources. An alternate approach is proper utilization of the existing antibiotics through the surveillance of resistance. An important component of surveillance is the informatics tool for collection, management and analysis of antimicrobial resistance susceptibility testing data. Based on the scope, antimicrobial resistance surveillance resistance tools can be broadly classified as collectors and integrators. Individually, both the integrators and collectors have limitations which restrict their use in India. There is a strong requirement to develop a hybrid AMR surveillance tool that captures standardized data from small laboratories and integrates data from multiple sources to present a complete picture of the country. Here we describe a tool i-AMRSS developed by the Indian Council of Medical Research for collection, storage and management of AMR data from collaborating institutes/laboratories and to generate real-time analytics and reports.

Impact of long-term care facility residence on the antibiotic resistance of urinary tract Escherichia coli and Klebsiella

Background

Long-term care facilities (LTCFs) are thought to be important reservoirs of antimicrobial-resistant (AMR) bacteria; however, there is no routine surveillance of resistance in LTCF residents, or large population-based studies comparing AMR in LTCFs with the community, so the relative burden of AMR in LTCFs remains unknown.

Objectives

To compare the frequency of antibiotic resistance of urinary tract bacteria from residents of LTCFs for the elderly and adults aged 70 years or older living in the community.

Methods

Positive urine specimens reported to any diagnostic microbiology laboratory in the West Midlands region (England) from 1 April 2010 to 31 March 2014 collected from individuals aged 70 years or older were analysed. The resistance of Escherichia coli and Klebsiella to trimethoprim, nitrofurantoin, third-generation cephalosporins and ciprofloxacin and the rate of laboratory-confirmed E. coli and Klebsiella urinary tract infection (UTI) were assessed in LTCF residents and in the community.

Results

LTCF residents had a laboratory-confirmed E. coli and Klebsiella UTI rate of 21 per 100 person years compared with 8 per 100 person years in the elderly living in the community [rate ratio (RR)=2.66, 95% CI = 2.58-2.73] and a higher rate of developing E. coli and Klebsiella UTIs caused by bacteria resistant to trimethoprim (RR = 4.41, 95% CI = 4.25-4.57), nitrofurantoin (RR = 4.38, 95% CI = 3.98-4.83), ciprofloxacin (RR = 5.18, 95% CI = 4.82-5.57) and third-generation cephalosporins (RR = 4.49, 95% CI = 4.08-4.94).

Conclusions

Residents of LTCFs for the elderly had more than double the rate of E. coli and Klebsiella UTI and more than four times the rate of E. coli and Klebsiella UTI caused by antibiotic-resistant bacteria compared with those living in the community.

Use of antimicrobial resistance information and prescribing guidance for management of urinary tract infections: survey of general practitioners in the West Midlands

BACKGROUND

There is a marked variation in both antibiotic prescribing practice and urine sampling rates for diagnostic microbiology across general practices in England. To help understand factors driving this variation, we undertook a survey in 2012/13 to determine sampling protocols and antibiotic formularies used by general practitioners (GPs) for managing urinary tract infections (UTIs) in the West Midlands region of England.

METHOD

Cross-sectional survey of all eligible general practices in the West Midlands region of England undertaken in November 2012. GPs were invited to complete an online survey questionnaire to gather information on policies used within the practice for urine sampling for microbiological examination, and the source of antibiotic formularies used to guide treatment of UTIs. The questionnaire also gathered information on how they would manage five hypothetical clinical scenarios encountered in the community.

RESULTS

The response rate was 11.3 % (409/3635 GPs), equivalent to a practice response rate of 26 % (248/950). Only 50 % of GPs reported having a practice policy for urine sampling. Although there was good agreement from GPs regarding collecting specimens in scenarios symbolising treatment failure (98 %), UTI in an adult male (98 %) and asymptomatic UTI in pregnancy (97 %), there was variation in GPs requesting a specimen for the scenarios involving a suspected uncomplicated urinary tract infection (UTI) and an asymptomatic catheterised elderly patient; with 40 and 38 % respectively indicating they would collect a specimen for microbiological examination.

CONCLUSION

Standardised evidence based clinical management policies and antibiotic formularies for GPs should be readily available. This will promote the rational use of diagnostic microbiology services, improve antimicrobial stewardship and aid the interpretation of ongoing antimicrobial resistance surveillance.

Surveillance of antibiotic resistance

Surveillance involves the collection and analysis of data for the detection and monitoring of threats to public health. Surveillance should also inform as to the epidemiology of the threat and its burden in the population. A further key component of surveillance is the timely feedback of data to stakeholders with a view to generating action aimed at reducing or preventing the public health threat being monitored. Surveillance of antibiotic resistance involves the collection of antibiotic susceptibility test results undertaken by microbiology laboratories on bacteria isolated from clinical samples sent for investigation. Correlation of these data with demographic and clinical data for the patient populations from whom the pathogens were isolated gives insight into the underlying epidemiology and facilitates the formulation of rational interventions aimed at reducing the burden of resistance. This article describes a range of surveillance activities that have been undertaken in the UK over a number of years, together with current interventions being implemented. These activities are not only of national importance but form part of the international response to the global threat posed by antibiotic resistance.

Use of computer decision support in an antimicrobial stewardship program (ASP)

OBJECTIVE

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.

Surveillance of antibiotic susceptibility of urinary tract pathogens for a population of 5.6 million over 4 years

OBJECTIVES

To retrospectively analyse routine susceptibility testing data to describe antimicrobial non-susceptibility trends in isolates of Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa from urine samples in a population of 5.6 million people over a 4 year period.

METHODS

De-duplicated laboratory data submitted to the AmSurv surveillance system from the West Midlands region of England and results of submissions to the Antimicrobial Resistance and Healthcare Associated Infections Reference Unit were extracted for the period 2010-13. Descriptive analysis of the non-susceptibility of selected Gram-negative organisms to key antibiotics, as recommended for monitoring in the UK Five Year Antimicrobial Resistance Strategy, was undertaken.

RESULTS

During the study period, there were 431 461 reports for E. coli, 23 786 for K. pneumoniae and 6985 for P. aeruginosa from urine specimens. These represented 61%, 3% and 1%, respectively, of all organisms isolated from urine specimens. There was a linear increase in non-susceptibility to third-generation cephalosporins for E. coli and K. pneumoniae, and to ciprofloxacin for E. coli, in specimens from both hospital and community settings (P < 0.001). The proportions of E. coli and K. pneumoniae reported non-susceptible to meropenem and/or imipenem remained low during the study period, with no evidence of linear trend (P ≥ 0.05).

CONCLUSIONS

Automated antimicrobial resistance surveillance enabled, for the first time in England, the systematic monitoring of resistance in bacteria responsible for urinary tract infections in a defined population, and thereby provided a representative indication of the burden of resistance in Gram-negative bacteria in hospital and community settings.