Increasing the Reliability of Fully Automated Surveillance for Central Line-Associated Bloodstream Infections.

OBJECTIVE: To increase reliability of the algorithm used in our fully automated electronic surveillance system by adding rules to better identify bloodstream infections secondary to other hospital-acquired infections. METHODS: Intensive care unit (ICU) patients with positive blood cultures were reviewed. Central line-associated bloodstream infection (CLABSI) determinations were based on 2 sources: routine surveillance by infection preventionists, and fully automated surveillance. Discrepancies between the 2 sources were evaluated to determine root causes. Secondary infection sites were identified in most discrepant cases. New rules to identify secondary sites were added to the algorithm and applied to this ICU population and a non-ICU population. Sensitivity, specificity, predictive values, and kappa were calculated for the new models. RESULTS: Of 643 positive ICU blood cultures reviewed, 68 (10.6%) were identified as central line-associated bloodstream infections by fully automated electronic surveillance, whereas 38 (5.9%) were confirmed by routine surveillance. New rules were tested to identify organisms as central line-associated bloodstream infections if they did not meet one, or a combination of, the following: (I) matching organisms (by genus and species) cultured from any other site; (II) any organisms cultured from sterile site; (III) any organisms cultured from skin/wound; (IV) any organisms cultured from respiratory tract. The best-fit model included new rules I and II when applied to positive blood cultures in an ICU population. However, they didn't improve performance of the algorithm when applied to positive blood cultures in a non-ICU population. CONCLUSION: Electronic surveillance system algorithms may need adjustment for specific populations.

Advancing the competency of infection preventionists.

The Association of Professionals in Infection Control and Epidemiology (APIC) has identified advancing infection prevention competency as a core goal in their Strategic Plan 2020. To achieve this goal, APIC has published a self-assessment tool to help infection preventionists identify where they are on a predefined scale. This project trialed APIC's self-assessment tool along with an internally developed objective assessment. The objective was to determine if the tools help identify areas for improvement to advance overall group competency at BJC HealthCare, a large Midwestern health care system with nearly 30 infection preventionists.

Is accounting for acute care beds enough? A proposal for measuring infection prevention personnel resources.

There is still little known about how infection prevention (IP) staffing affects patient outcomes across the country. Current evaluations mainly focus on the ratio of IP resources to acute care beds (ACBs) and have not strongly correlated with patient outcomes. The scope of IP and the role of the infection preventionist in health care have expanded and changed dramatically since the Study on the Efficacy of Nosocomial Infection Control (SENIC Project) recommended a 1 IP resource to 250 ACB ration in the 1980s. Without a universally accepted model for accounting for additional IP responsibilities, it is difficult to truly assess IP staffing needs. A previously suggested alternative staffing model was applied to acute care hospitals in our organization to determine its utility.

Surgical site infection risk factors identified for patients undergoing colon procedures, New York State 2009-2010.

BACKGROUND: Since 2007, New York State (NYS) hospitals have been required to report surgical site infections (SSIs) following colon procedures to the NYS Department of Health, using the National Healthcare Safety Network (NHSN). The purpose of this study was to identify risk factors for the development of SSIs in patients undergoing colon procedures. METHODS: NYS has been conducting validation studies at hospitals to assess the accuracy of the surveillance data reported by the participating hospitals. A sample of patients undergoing colon procedures in NYS hospitals were included in hospital-acquired infection program validation studies in 2009 and 2010. Medical chart reviews and on-site visits were performed to verify patient information reported and to evaluate additional risk factors for SSI. Bivariable and multivariable logistic regressions were performed. RESULTS: A total of 2,656 colon procedures were included in this analysis, including 698 SSI cases. Multivariable analysis indicated that SSI following colon procedure was associated with body mass index greater than 30 (odds ratio [OR], 1.48 [95% confidence interval (CI), 1.21-1.80]), male sex (OR, 1.34 [95% CI, 1.10-1.64]), American Society of Anesthesiologists physical classification score greater than 3 (OR, 1.33 [95% CI, 1.08-1.64]), procedure duration, transfusion (OR, 1.32 [95% CI, 1.05-1.66]), left-side colon surgical procedures, other gastroenterologic procedures, irrigation, hospital bed size greater than 500, and medical school affiliation. CONCLUSIONS: Male sex, obesity, transfusion, type of procedure, and prolonged duration were significant factors associated with overall infection risk after adjusting other factors. Additional factors not collected in the NHSN slightly improved prediction of SSIs.

Development of a standardized process improvement protocol to address elevated health care-associated infection rates on an incented quality scorecard.

This practice forum report details a standardized improvement process that was created both to improve patient outcomes related to various hospital-acquired infections and to address leadership concerns related to incented quality metrics. A 3-year retrospective review identified common issues to guide future interventions and confirmed that this methodology reduced the rate of recurrent infections across the health care system. Process tool samples are provided.

Development, Implementation and Use of Electronic Surveillance for Ventilator-Associated Events (VAE) in Adults.

Mechanical ventilation provides an important, life-saving therapy for severely ill patients, but ventilated patients are at an increased risk for complications, poor outcomes, and death during hospitalization.1 The timely measurement of negative outcomes is important in order to identify potential issues and to minimize the risk to patients. The Centers for Disease Control and Prevention (CDC) created an algorithm for identifying Ventilator-Associated Events (VAE) in adult patients for reporting to the National Healthcare Safety Network (NHSN). Currently, the primarily manual surveillance tools require a significant amount of time from hospital infection prevention (IP) staff to apply and interpret. This paper describes the implementation of an electronic VAE tool using an internal clinical data repository and an internally developed electronic surveillance system that resulted in a reduction of labor efforts involved in identifying VAE at Barnes Jewish Hospital (BJH).

Trends in validity of central line-associated bloodstream infection surveillance data, New York State, 2007-2010.

BACKGROUND: In 2007, New York State (NYS) hospitals began mandatory public reporting of central line-associated bloodstream infection (CLABSI) data associated with intensive care units (ICUs) into the National Healthcare Safety Network (NHSN). Facilities were required to use the NHSN device-associated CLABSI criteria to identify laboratory-confirmed bloodstream infections. METHODS: Onsite audits were conducted in ICUs by NYS hospital-acquired infection program staff using a standardized database. Hospitals provided ICU patient medical records with a positive blood culture during a selected time frame. RESULTS: Between 2007 and 2010, an average of 79% of all reporting hospitals were audited annually. Of the 5,697 patients audited, 3,104 (54%) had a central line in place, and 650 of the patients with a central line (21%) were identified as having a CLABSI by the hospital-acquired infection program reviewer. Between 2007 and 2010, the specificity increased from 90% to 99%, whereas the sensitivity remained stable at approximately 71%. As a result of the audit process, the NYS 2010 CLABSI rate increased by 5.6%. CONCLUSIONS: A standardized audit process has helped improve the accuracy of CLABSI reporting. Data validation provides consistent data for measuring the progress of infection prevention strategies and allows for relevant comparison of ICU data.

Comparison of 2 Clostridium difficile surveillance methods: National Healthcare Safety Network's laboratory-identified event reporting module versus clinical infection surveillance.

OBJECTIVE: To determine whether the Centers for Disease Control and Prevention's National Healthcare Safety Network (NHSN) laboratory-identified (LabID) event reporting module for Clostridium difficile infection (CDI) is an adequate proxy measure of clinical CDI for public reporting purposes by comparing the 2 surveillance methods. DESIGN: Validation study. SETTING: Thirty New York State acute care hospitals. METHODS: Six months of data were collected by 30 facilities using a clinical infection surveillance definition while also submitting the NHSN LabID event for CDI. The data sets were matched and compared to determine whether the assigned clinical case status matched the LabID case status. A subset of mismatches was evaluated further, and reasons for the mismatches were quantified. Infection rates determined using the 2 definitions were compared. RESULTS: A total of 3,301 CDI cases were reported. Analysis of the original data yielded a 67.3% (2,223/3,301) overall case status match. After review and validation, there was 81.3% (2,683/3,301) agreement. The most common reason for disagreement (54.9%) occurred because the symptom onset was less than 48 hours after admission but the positive specimen was collected on hospital day 4 or later. The NHSN LabID hospital onset rate was 29% higher than the corresponding clinical rate and was generally consistent across all hospitals. CONCLUSIONS: Use of the NHSN LabID event minimizes the burden of surveillance and standardizes the process. With a greater than 80% match between the NHSN LabID event data and the clinical infection surveillance data, the New York State Department of Health made the decision to use the NHSN LabID event CDI data for public reporting purposes.

Use of administrative data in efficient auditing of hospital-acquired surgical site infections, New York State 2009-2010.

OBJECTIVE: To efficiently validate the accuracy of surgical site infection (SSI) data reported to the National Healthcare Safety Network (NHSN) by New York State (NYS) hospitals. DESIGN: Validation study. SETTING: 176 NYS hospitals. METHODS: NYS Department of Health staff validated the data reported to NHSN by review of a stratified sample of medical records from each hospital. The four strata were (1) SSIs reported to NHSN; (2) records with an indication of infection from diagnosis codes in administrative data but not reported to NHSN as SSIs; (3) records with discordant procedure codes in NHSN and state data sets; (4) records not in the other three strata. RESULTS: A total of 7,059 surgical charts (6% of the procedures reported by hospitals) were reviewed. In stratum 1, 7% of reported SSIs did not meet the criteria for inclusion in NHSN and were subsequently removed. In stratum 2, 24% of records indicated missed SSIs not reported to NHSN, whereas in strata 3 and 4, only 1% of records indicated missed SSIs; these SSIs were subsequently added to NHSN. Also, in stratum 3, 75% of records were not coded for the correct NHSN procedure. Errors were highest for colon data; the NYS colon SSI rate increased by 7.5% as a result of hospital audits. CONCLUSIONS: Audits are vital for ensuring the accuracy of hospital-acquired infection (HAI) data so that hospital HAI rates can be fairly compared. Use of administrative data increased the efficiency of identifying problems in hospitals' SSI surveillance that caused SSIs to be unreported and caused errors in denominator data.

Risk factors for coronary artery bypass graft chest surgical site infections in New York State, 2008.

BACKGROUND: All hospitals in New York State (NYS) are required to report surgical site infections (SSIs) occurring after coronary artery bypass graft surgery. This report describes the risk adjustment method used by NYS for reporting hospital SSI rates, and additional methods used to explore remaining differences in infection rates. METHODS: All patients undergoing coronary artery bypass graft surgery in NYS in 2008 were monitored for chest SSI following the National Healthcare Safety Network protocol. The NYS Cardiac Surgery Reporting System and a survey of hospital infection prevention practices provided additional risk information. Models were developed to standardize hospital-specific infection rates and to assess additional risk factors and practices. RESULTS: The National Healthcare Safety Network risk score based on duration of surgery, American Society of Anesthesiologists score, and wound class were not highly predictive of chest SSIs. The addition of diabetes, obesity, end-stage renal disease, sex, chronic obstructive pulmonary disease, and Medicaid payer to the model improved the discrimination between procedures that resulted in SSI and those that did not by 25%. Hospital-reported infection prevention practices were not significantly related to SSI rates. CONCLUSIONS: Additional risk factors collected using a secondary database improved the prediction of SSIs, however, there remained unexplained variation in rates between hospitals.