Informatics and Epidemiology in Infection Control

Accuracy of catheter-associated urinary tract infections reported to the National Healthcare Safety Network, January 2010 through July 2018

BACKGROUND

Surveillance of health care-associated, catheter-associated urinary tract infections (CAUTI) are the corner stone of infection prevention activity. The Centers for Disease Control and Prevention's National Healthcare Safety Network provides standard definitions for CAUTI surveillance, which have been updated periodically to increase objectivity, credibility, and reliability of urinary tract infection definitions. Several state health departments have validated CAUTI data that provided insights into accuracy of CAUTI reporting and adherence to CAUTI definition.

METHODS

Data accuracy measures included pooled mean sensitivity, specificity, positive predictive value, and negative predictive value. Total CAUTI error rate was computed as proportion of mismatches among total records. The impact of 2015 CAUTI definition changes were tested by comparing pooled accuracy estimates of validations prior to 2015 with post-2015.

RESULTS

At least 19 state health departments conducted CAUTI validations and indicated pooled mean sensitivity of 88.3%, specificity of 98.8%, positive predictive value of 93.6%, and negative predictive value of 97.6% of CAUTI reporting to the National Healthcare Safety Network. Among CAUTIs misclassified (121), 66% were underreported and 34% were overreported. CAUTI classification error rate declined significantly from 4.3% (pre-2015) to 2.4% (post-2015). Reasons for CAUTI misclassifications included: misapplication of CAUTI definition, misapplication of general health care-associated infection definitions, and clinical judgement over surveillance definition.

CONCLUSIONS

CAUTI underreporting is a major concern; validations provide transparency, education, and relationship building to improve reporting accuracy.

Necessary Infrastructure of Infection Prevention and Healthcare Epidemiology Programs: A Review

The scope of a healthcare institution's infection prevention and control/healthcare epidemiology program (IPC/HE) should be driven by the size and complexity of the patient population served, that population's risk for healthcare-associated infection (HAI), and local, state, and national regulatory and accreditation requirements. Essential activities of all IPC/HE programs include but are not limited to the following: ∙ Surveillance.∙ Performance improvement to reduce HAI ∙ Acute event response, including outbreak investigation ∙ Education and training of both healthcare personnel and patients ∙ Reporting of HAI to the Centers for Disease Control and Prevention's National Healthcare Safety Network as well as entities required by law.

An electronic surveillance tool for catheter-associated urinary tract infection in intensive care units

BACKGROUND

Traditional methods of surveillance of catheter-associated urinary tract infections (CAUTIs) are error-prone and resource-intensive. To resolve these issues, we developed a highly sensitive electronic surveillance tool.

OBJECTIVE

To develop an electronic surveillance tool for CAUTIs and assess its performance.

METHODS

The study was conducted at a 947-bed tertiary care center. Patients included adults aged ≥18 years admitted to an intensive care unit between January 10 and June 30, 2012, with an indwelling urinary catheter during their admission. We identified CAUTIs using 4 methods: traditional surveillance (TS) (ie, manual chart review by ICPs), an electronic surveillance (ES) tool, augmented electronic surveillance (AES) (ie, ES with chart review on a subset of cases), and reference standard (RS) (ie, a subset of CAUTIs originally ascertained by TS or ES, confirmed by review). We assessed performance characteristics to RS for reviewed cases.

RESULTS

We identified 417 candidate CAUTIs in 308 patients; 175 (42.0%) of these candidate CAUTIs were selected for review, yielding 32 confirmed CAUTIs in 22 patients (RS). Compared with RS, the sensitivities of TS, ES, and AES were 43.8% (95% confidence interval [CI], 26.4%-62.3%), 100.0% (95% CI, 89.1%-100.0%), and 100.0% (95% CI, 89.1%-100.0%). Specificities were 82.5% (95% CI, 75.3%-88.4%), 2.8% (95% CI, 0.8%-7.0%), and 100.0% (95% CI, 97.5%-100.0%).

CONCLUSIONS

Electronic CAUTI surveillance offers a streamlined approach to improve reliability and resource burden of surveillance.

Matching bacteriological and medico-administrative databases is efficient for a computer-enhanced surveillance of surgical site infections: retrospective analysis of 4,400 surgical procedures in a French university hospital

OBJECTIVE

Our goal was to estimate the performance statistics of an electronic surveillance system for surgical site infections (SSIs), generally applicable in French hospitals.

METHODS

Three detection algorithms using 2 different data sources were tested retrospectively on 9 types of surgical procedures performed between January 2010 and December 2011 in the University Hospital of Nantes. The first algorithm was based on administrative codes, the second was based on bacteriological data, and the third used both data sources. For each algorithm, sensitivity, specificity, and positive and negative predictive values (PPV and NPV) were calculated. The reference method was the hospital's routine surveillance: a comprehensive review of the computerized medical charts of the patients who underwent one of the targeted procedures during the study period.

SETTING

A 3,000-bed teaching hospital in western France.

POPULATION

We analyzed 4,400 targeted surgical procedures.

RESULTS

Sensitivity results varied significantly between the three algorithms, from 25% (95% confidence interval, 17-33) when using only administrative codes to 87% (80%-93%) with the bacteriological data and 90% (85%-96%) with the combined algorithm. Fewer variations were observed for specificity (91%-98%), PPV (21%-25%), and NPV (98% to nearly 100%). Overall, performance statistics were higher for deep SSIs than for superficial infections.

CONCLUSIONS

A reliable computer-enhanced SSI surveillance can easily be implemented in French hospitals using common data sources. This should allow infection control professionals to spend more time on prevention and education duties. However, a multicenter study should be conducted to assess the generalizability of this method.

Knowledge management and informatics considerations for comparative effectiveness research: a case-driven exploration

BACKGROUND

As clinical data are increasingly collected and stored electronically, their potential use for comparative effectiveness research (CER) grows. Despite this promise, challenges face those wishing to leverage such data. In this paper we aim to enumerate some of the knowledge management and informatics issues common to such data reuse.

DESIGN

After reviewing the current state of knowledge regarding biomedical informatics challenges and best practices related to CER, we then present 2 research projects at our institution. We analyze these and highlight several common themes and challenges related to the conduct of CER studies. Finally, we represent these emergent themes.

RESULTS

The informatics challenges commonly encountered by those conducting CER studies include issues related to data information and knowledge management (eg, data reuse, data preparation) as well as those related to people and organizational issues (eg, sociotechnical factors and organizational factors). Examples of these are described in further detail and a formal framework for describing these findings is presented.

CONCLUSIONS

Significant challenges face researchers attempting to use often diverse and heterogeneous datasets for CER. These challenges must be understood in order to be dealt with successfully and can often be overcome with the appropriate use of informatics best practices. Many research and policy questions remain to be answered in order to realize the full potential of the increasingly electronic clinical data available for such research.

Public health surveillance in the dialysis setting: opportunities and challenges for using electronic health records

The US Centers for Disease Control and Prevention has conducted public health surveillance for healthcare-associated infections (HAIs) in dialysis facilities since the 1970s, evolving from facility-level surveys to patient-level surveillance systems. The Centers for Medicare and Medicaid Services (CMS) recently implemented incentives for all end-stage renal disease (ESRD) facilities to monitor and report patient-level quality indicators to the Centers for Disease Control and Prevention's (CDC's) National Healthcare Safety Network (NHSN) in accordance with the NHSN Dialysis Event Protocol. These CMS incentives have led to a rapid increase in dialysis facility NHSN enrollment during 2012. Ongoing challenges to HAI surveillance in this setting include variability in the surveillance process, assurance of data quality, and staff time and resource requirements. Use of existing electronic health records (EHR), especially in conjunction with detection algorithms, has increasingly been shown to produce valid and reliable estimates of HAI frequency in acute care hospitals. Given the large number of dialysis facilities that are now beginning to conduct surveillance using NHSN, the typical lack of dedicated infection prevention personnel in those facilities, and the widespread use of EHR in large dialysis provider organizations, the use of EHR will probably become a cornerstone of surveillance in these settings. Implemented properly, the use of EHR to support public health surveillance has enormous potential to focus and strengthen infection prevention activities in dialysis facilities. Systematic, ongoing validation efforts will be vital to ensure that reported data are accurate, permit valid comparisons of facility performance, and effectively support improved outcomes for dialysis patients.

Long-term care facilities in Utah: a description of human and information technology resources applied to infection control practice

BACKGROUND

Little is known about the implementation of infection control (IC) programs and information technology (IT) infrastructure in long-term care facilities (LTCFs). We assessed the IC human resources, IT infrastructure, and IC scope of practice at LTCFs in Utah.

METHODS

All LTCFs throughout Utah (n = 80) were invited to complete a written survey in 2005 regarding IC staffing, policies and practices, and IT infrastructure and capacity.

RESULTS

Responses were received from 62 facilities (77.5%). Most infection preventionists (IPs) were registered nurses (71%) with on-the-job training (81.7%). Most had other duties besides their IC work (93.5%), which took up the majority of their time. Most facilities provided desktop computers (96.8%) and all provided Internet access, but some of the infrastructure was not current. A minority (14.5%) used sophisticated software packages to support their IC activities. Less than 20% of the facilities had integrated radiology, diagnostic laboratory, or microbiology data with their facility computer system. The Internet was used primarily as a reference tool (77.4%). Most IPs reported taking responsibility for routine surveillance and monitoring tasks, but a substantial number did not perform all queried tasks. They may have difficulty with feedback of specific unit and physician infection rates (43.2% and 67.7%, respectively).

CONCLUSIONS

Our findings underscore what has previously been reported about LTCFs' IC human resources and IP scope of practice. We also found that some IT infrastructure was outdated, and that existing resources were underutilized for IC purposes.

Infections, bacterial resistance, and antimicrobial stewardship: the emerging role of hospitalists

The care of patients with serious infections both within and outside healthcare settings is increasingly complicated by the high prevalence of resistant or multidrug-resistant (MDR) pathogens. Moreover, infections caused by MDR versus susceptible bacteria or other pathogens are associated with significantly higher mortality, length of hospital stay, and healthcare costs. Antimicrobial misuse or overuse is the primary driver for development of antimicrobial resistance, suggesting that better use of antimicrobials will translate into improved patient outcomes, more efficient use of hospital resources, and lowered healthcare costs. Antimicrobial stewardship refers to the various practices and procedures utilized to optimize antimicrobial use. The primary goal of antimicrobial stewardship is to improve patient outcomes and lower antimicrobial resistance and other unintended consequences of antimicrobial therapy. Secondary goals are to reduce length of hospital stays and healthcare-related costs. Hospitalists are increasingly involved in the care of hospitalized patients throughout the United States. Expertise in managing conditions requiring hospitalization, and experience in quality improvement across a wide range of clinical conditions, make hospitalists well positioned to participate in the development and implementation of hospital-based antimicrobial stewardship programs designed to improve patient outcomes, reduce antimicrobial resistance, and provide more efficient and lower-cost hospital care.