First Year of Mandatory Reporting of Healthcare-Associated Infections, Pennsylvania An Infection Control—Chart Abstractor Collaboration

Changes in the accuracy of administrative data for the detection of surgical site infections

We performed a retrospective analysis of the changes in accuracy of International Classification of Diseases, Clinical Modification (ICD-CM) diagnosis codes for colectomy and hysterectomy surgical site infection surveillance. After the transition from ICD-CM ninth edition to tenth edition codes, there was no significant change in the accuracy of these codes for SSI surveillance.

Validity and Reliability of Administrative Coded Data for the Identification of Hospital-Acquired Infections: An Updated Systematic Review with Meta-Analysis and Meta-Regression Analysis

OBJECTIVE

To conduct an updated assessment of the validity and reliability of administrative coded data (ACD) in identifying hospital-acquired infections (HAIs).

METHODS

We systematically searched three libraries for studies on ACD detecting HAIs compared to manual chart review. Meta-analyses were conducted for prosthetic and nonprosthetic surgical site infections (SSIs), Clostridium difficile infections (CDIs), ventilator-associated pneumonias/events (VAPs/VAEs) and non-VAPs/VAEs, catheter-associated urinary tract infections (CAUTIs), and central venous catheter-related bloodstream infections (CLABSIs). A random-effects meta-regression model was constructed.

RESULTS

Of 1,906 references found, we retrieved 38 documents, of which 33 provided meta-analyzable data (N = 567,826 patients). ACD identified HAI incidence with high specificity (≥93 percent), prosthetic SSIs with high sensitivity (95 percent), and both CDIs and nonprosthetic SSIs with moderate sensitivity (65 percent). ACD exhibited substantial agreement with traditional surveillance methods for CDI (κ = 0.70) and provided strong diagnostic odds ratios (DORs) for the identification of CDIs (DOR = 772.07) and SSIs (DOR = 78.20). ACD performance in identifying nosocomial pneumonia depended on the ICD coding system (DORICD-10/ICD-9-CM  = 0.05; p = .036). Algorithmic coding improved ACD's sensitivity for SSIs up to 22 percent. Overall, high heterogeneity was observed, without significant publication bias.

CONCLUSIONS

Administrative coded data may not be sufficiently accurate or reliable for the majority of HAIs. Still, subgrouping and algorithmic coding as tools for improving ACD validity deserve further investigation, specifically for prosthetic SSIs. Analyzing a potential lower discriminative ability of ICD-10 coding system is also a pending issue.

Validation of ICD-9-CM Diagnosis Codes for Surgical Site Infection and Noninfectious Wound Complications After Mastectomy

BACKGROUND Few studies have validated ICD-9-CM diagnosis codes for surgical site infection (SSI), and none have validated coding for noninfectious wound complications after mastectomy. OBJECTIVES To determine the accuracy of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes in health insurer claims data to identify SSI and noninfectious wound complications, including hematoma, seroma, fat and tissue necrosis, and dehiscence, after mastectomy. METHODS We reviewed medical records for 275 randomly selected women who were coded in the claims data for mastectomy with or without immediate breast reconstruction and had an ICD-9-CM diagnosis code for a wound complication within 180 days after surgery. We calculated the positive predictive value (PPV) to evaluate the accuracy of diagnosis codes in identifying specific wound complications and the PPV to determine the accuracy of coding for the breast surgical procedure. RESULTS The PPV for SSI was 57.5%, or 68.9% if cellulitis-alone was considered an SSI, while the PPV for cellulitis was 82.2%. The PPVs of individual noninfectious wound complications ranged from 47.8% for fat necrosis to 94.9% for seroma and 96.6% for hematoma. The PPVs for mastectomy, implant, and autologous flap reconstruction were uniformly high (97.5%-99.2%). CONCLUSIONS Our results suggest that claims data can be used to compare rates of infectious and noninfectious wound complications after mastectomy across facilities, even though PPVs vary by specific type of postoperative complication. The accuracy of coding was highest for cellulitis, hematoma, and seroma, and a composite group of noninfectious complications (fat necrosis, tissue necrosis, or dehiscence). Infect Control Hosp Epidemiol 2017;38:334-339.

Can additional information be obtained from claims data to support surgical site infection diagnosis codes?

OBJECTIVE

International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes are increasingly used to identify healthcare-associated infections, often with insufficient evidence demonstrating validity of the codes used. Absent medical record verification, we sought to confirm a claims algorithm to identify surgical site infections (SSIs) by examining the presence of clinically expected SSI treatment.

METHODS

We performed a retrospective cohort study, using private insurer claims data from persons less than 65 years old with ICD-9-CM procedure or Current Procedure Terminology (CPT-4) codes for anterior cruciate ligament (ACL) reconstruction from January 2004 through December 2010. SSIs occurring within 90 days after ACL reconstruction were identified by ICD-9-CM diagnosis codes. Antibiotic utilization, surgical treatment, and microbiology culture claims within 14 days of SSI codes were used as evidence to support the SSI diagnosis.

RESULTS

Of 40,702 procedures, 401 (1.0%) were complicated by SSI, 172 (0.4%) of which were specifically identified as septic arthritis. Most SSIs were associated with an inpatient admission (232/401 [58%]), and/or surgical procedure(s) for treatment (250/401 [62%]). Temporally associated antibiotics, surgical treatment procedures, and cultures were present for 84% (338/401), 61% (246/401), and 59% (238/401), respectively. Only 5.7% (23/401) of procedures coded for SSI after the procedure had no antibiotics, surgical treatments, or cultures within 14 days of the SSI claims.

CONCLUSIONS

More than 94% of patients identified by our claims algorithm as having an SSI received clinically expected treatment for infection, including antibiotics, surgical treatment, and culture, suggesting that this algorithm has very good positive predictive value. This method may facilitate retrospective SSI surveillance and comparison of SSI rates across facilities and providers.

Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review

OBJECTIVE

Measuring the incidence of healthcare-associated infections (HAI) is of increasing importance in current healthcare delivery systems. Administrative data algorithms, including (combinations of) diagnosis codes, are commonly used to determine the occurrence of HAI, either to support within-hospital surveillance programmes or as free-standing quality indicators. We conducted a systematic review evaluating the diagnostic accuracy of administrative data for the detection of HAI.

METHODS

Systematic search of Medline, Embase, CINAHL and Cochrane for relevant studies (1995-2013). Methodological quality assessment was performed using QUADAS-2 criteria; diagnostic accuracy estimates were stratified by HAI type and key study characteristics.

RESULTS

57 studies were included, the majority aiming to detect surgical site or bloodstream infections. Study designs were very diverse regarding the specification of their administrative data algorithm (code selections, follow-up) and definitions of HAI presence. One-third of studies had important methodological limitations including differential or incomplete HAI ascertainment or lack of blinding of assessors. Observed sensitivity and positive predictive values of administrative data algorithms for HAI detection were very heterogeneous and generally modest at best, both for within-hospital algorithms and for formal quality indicators; accuracy was particularly poor for the identification of device-associated HAI such as central line associated bloodstream infections. The large heterogeneity in study designs across the included studies precluded formal calculation of summary diagnostic accuracy estimates in most instances.

CONCLUSIONS

Administrative data had limited and highly variable accuracy for the detection of HAI, and their judicious use for internal surveillance efforts and external quality assessment is recommended. If hospitals and policymakers choose to rely on administrative data for HAI surveillance, continued improvements to existing algorithms and their robust validation are imperative.

Evaluating the impact of mandatory public reporting on participation and performance in a program to reduce central line-associated bloodstream infections: evidence from a national patient safety collaborative

BACKGROUND

It is not clear whether mandatory reporting influences the efforts and performance of hospitals to prevent hospital-acquired infections. This study examines whether mandatory reporting impacted participation and performance in reducing central line-associated bloodstream infections (CLABSIs) in a national patient safety collaborative.

METHODS

We analyzed 1,046 adult intensive care units (ICUs) participating in the national On the CUSP: Stop BSI program. We used a difference-in-difference approach to compare changes in CLABSI rates in states with no public reporting mandate, recent mandates, and longer-standing mandates. Chi-square tests were used to examine the differences in the participation rate.

RESULTS

States enacting a law requiring mandatory public reporting of CLABSI rates around the time of the national program had the highest hospital participation rates (approximately 50%). Compared with units in states with no reporting requirement, units in the states with voluntary reporting systems or with longer periods of mandatory reporting experience had higher CLABSI rates at baseline and greater reductions in CLABSI in the first 6 months. State groups with mandatory public reporting of CLABSI showed a trend toward greater reduction in CLABSI after 1 year of program implementation.

CONCLUSION

Mandatory reporting requirements may spark hospitals to turn to proven infection prevention interventions to improve CLABSI rates. Reporting requirements do not teach sites how to reduce rates. ICUs need both motivation and facilitation to reach consumer expectations for infection prevention.

Eliminating catheter-associated urinary tract infections in the intensive care unit: is it an attainable goal?

BACKGROUND

Purpose of this study is to determine strategies to decrease catheter-associated urinary tract infection (CAUTI) in intensive care unit (ICU) patients.

METHODS

ICU patients with an indwelling urinary catheter (UC) in one tertiary hospital were monitored for CAUTI. Interventions were implemented sequentially with quarterly data collection. Outcome measures were infection ratio (IR = number of infections/catheter days [CD] × 1000) and device utilization rate (DUR = catheter days/patient days).

RESULTS

CDs and DUR decreased (fiscal year 2008: CD, 11,414; DUR, .85 vs fiscal year 2013: CD, 8,144; DUR, .70). IR increased with suspension of prepackaged baths (IR, 3.2 to 3.5 to 4.9 to 5.0), twice daily UC care (IR, 4.8 to 6.7), emptying UC bags at 400 mL (IR, 6.7 to 9.2). Two-person UC placement (IR, 5.6 to 4.8), physician notification of CAUTI (IR, 6.1 to 4.8), and reinstitution of prepackaged baths and daily UC care (IR, 4.8 to 3.7) decreased CAUTI rates.

CONCLUSIONS

Decreasing CAUTI in the ICU requires diligent monitoring and constant practice re-evaluation. Elimination of CAUTI in the ICU may not be possible.

Using electronic medical records to increase the efficiency of catheter-associated urinary tract infection surveillance for National Health and Safety Network reporting

BACKGROUND

Streamlining health care-associated infection surveillance is essential for health care facilities owing to the continuing increases in reporting requirements.

METHODS

Stanford Hospital, a 583-bed adult tertiary care center, used their electronic medical record (EMR) to develop an electronic algorithm to reduce the time required to conduct catheter-associated urinary tract infection (CAUTI) surveillance in adults. The algorithm provides inclusion and exclusion criteria, using the National Healthcare Safety Network definitions, for patients with a CAUTI. The algorithm was validated by trained infection preventionists through complete chart review for a random sample of cultures collected during the study period, September 1, 2012, to February 28, 2013.

RESULTS

During the study period, a total of 6,379 positive urine cultures were identified. The Stanford Hospital electronic CAUTI algorithm identified 6,101 of these positive cultures (95.64%) as not a CAUTI, 191 (2.99%) as a possible CAUTI requiring further validation, and 87 (1.36%) as a definite CAUTI. Overall, use of the algorithm reduced CAUTI surveillance requirements at Stanford Hospital by 97.01%.

CONCLUSIONS

The electronic algorithm proved effective in increasing the efficiency of CAUTI surveillance. The data suggest that CAUTI surveillance using the National Healthcare Safety Network definitions can be fully automated.

Central line-associated infections as defined by the Centers for Medicare and Medicaid Services' Hospital-acquired condition versus standard infection control surveillance: why hospital compare seems conflicted

OBJECTIVE

To evaluate the concordance of case-finding methods for central line-associated infection as defined by Centers for Medicare and Medicaid Services (CMS) hospital-acquired condition (HAC) compared with traditional infection control (IC) methods.

SETTING

One tertiary care and 2 community hospitals in North Carolina.

PATIENTS

Adult and pediatric hospitalized patients determined to have central line infection by either case-finding method.

METHODS

We performed a retrospective comparative analysis of infection detected using HAC versus standard IC central line-associated bloodstream infection surveillance from October 1, 2007, through December 31, 2009. One billing and 2 IC databases were queried and matched to determine the number and concordance of cases identified by each method. Manual review of 25 cases from each discordant category was performed. Sensitivity and positive predictive value (PPV) were calculated using IC as criterion standard.

RESULTS

A total of 1,505 cases were identified: 844 by International Classification of Diseases, Ninth Revision (ICD-9), and 798 by IC. A total of 204 cases (24%) identified by ICD-9 were deemed not present at hospital admission by coders. Only 112 cases (13%) were concordant. HAC sensitivity was 14% and PPV was 55% compared with IC. Concordance was low regardless of hospital type. Primary reasons for discordance included differences in surveillance and clinical definitions, clinical uncertainty, and poor documentation.

CONCLUSIONS

The case-finding method used by CMS HAC and the methods used for traditional IC surveillance frequently do not agree. This can lead to conflicting results when these 2 measures are used as hospital quality metrics.

Lessons learned while implementing mandatory health care-associated infection reporting in New York State

New York State Public Health Law §2819, requiring the mandatory public reporting of health care-associated infections, was enacted in July 2005. This article describes key provisions in the legislation, New York State health care-associated infection program development, the rationale for selection of the National Healthcare Safety Network for reporting, and lessons learned.

A comparison of 3 metrics to identify health care-associated infections

BACKGROUND

The best approach to measurement of health care-associated infection rates is controversial.

METHODS

We compared 3 metrics to identify catheter-associated bloodstream infection (CA-BSI), catheter-associated urinary tract infection (CA-UTI), and ventilator-associated pneumonia (VAP) in 8 intensive care units during 2009. We evaluated traditional surveillance using National Healthcare Safety Network methodology, data mining with MedMined Data Mining Surveillance (CareFusion Corporation, San Diego, CA), and administrative coding with ICD-9-CM.

RESULTS

A total of 65 CA-BSI, 28 CA-UTI, and 48 VAP was identified. Traditional surveillance detected 58 CA-BSI and no false positives; data mining identified 51 cases but 51 false positives; administrative coding documented 6 cases and 6 false positives. Traditional surveillance detected 27 CA-UTI and no false positives; data mining identified 17 cases but 19 false positives; administrative coding documented 3 cases and 1 false-positive. Traditional surveillance detected 41 VAP and no false positives; data mining identified 26 cases but also 79 false positives; administrative coding found 17 cases and 13 false positives. Overall sensitivities were as follows: traditional surveillance, 0.84; data mining, 0.67; administrative coding, 0.18. Positive predictive values were as follows: traditional surveillance, 1.0; data mining, 0.39; administrative coding, 0.57.

CONCLUSION

Traditional surveillance proved superior in terms of sensitivity, positive predictive value, and rate estimation.

Nurse staffing, burnout, and health care-associated infection

BACKGROUND

Each year, nearly 7 million hospitalized patients acquire infections while being treated for other conditions. Nurse staffing has been implicated in the spread of infection within hospitals, yet little evidence is available to explain this association.

METHODS

We linked nurse survey data to the Pennsylvania Health Care Cost Containment Council report on hospital infections and the American Hospital Association Annual Survey. We examined urinary tract and surgical site infection, the most prevalent infections reported and those likely to be acquired on any unit within a hospital. Linear regression was used to estimate the effect of nurse and hospital characteristics on health care-associated infections.

RESULTS

There was a significant association between patient-to-nurse ratio and urinary tract infection (0.86; P = .02) and surgical site infection (0.93; P = .04). In a multivariate model controlling for patient severity and nurse and hospital characteristics, only nurse burnout remained significantly associated with urinary tract infection (0.82; P = .03) and surgical site infection (1.56; P < .01) infection. Hospitals in which burnout was reduced by 30% had a total of 6,239 fewer infections, for an annual cost saving of up to $68 million.

CONCLUSIONS

We provide a plausible explanation for the association between nurse staffing and health care-associated infections. Reducing burnout in registered nurses is a promising strategy to help control infections in acute care facilities.

Accuracy of a urinary catheter surveillance protocol

BACKGROUND

Many hospitals are increasing surveillance for catheter-associated urinary tract infections, which requires documentation of urinary catheter device-days. However, device-days are usually obtained by chart review or nursing reports. The aim of this study was to demonstrate that chart review can provide accurate urinary catheter data compared with physical inspection of the urinary catheter at the bedside.

METHODS

We compared 2 methods for collecting urinary catheter data over a 6-month period on 10 wards at our VA hospital. For the chart reviews, we created a daily bed-occupancy roster from the electronic medical record. Catheter data were extracted from the daily progress notes for each patient using a standardized review process. Bedside reviews were conducted by visiting the ward and verifying the presence and type of urinary catheters. Agreement between the 2 methods was calculated.

RESULTS

We obtained urinary catheter data by both methods in 621 cases. The presence or type of urinary catheter differed between chart and bedside review in only 10 cases (1.6%). Chart review had a sensitivity of 100%, a specificity of 97.7%, raw agreement of 98.4%, and a κ value of 0.96.

CONCLUSIONS

Individual chart review in the electronic medical record provided very accurate data on urinary catheter use.

Use of benchmarking and public reporting for infection control in four high-income countries

Benchmarking of surveillance data for health-care-associated infection (HCAI) has been used for more than three decades to inform prevention strategies and improve patients' safety. In recent years, public reporting of HCAI indicators has been mandated in several countries because of an increasing demand for transparency, although many methodological issues surrounding benchmarking remain unresolved and are highly debated. In this Review, we describe developments in benchmarking and public reporting of HCAI indicators in England, France, Germany, and the USA. Although benchmarking networks in these countries are derived from a common model and use similar methods, approaches to public reporting have been more diverse. The USA and England have predominantly focused on reporting of infection rates, whereas France has put emphasis on process and structure indicators. In Germany, HCAI indicators of individual institutions are treated confidentially and are not disseminated publicly. Although evidence for a direct effect of public reporting of indicators alone on incidence of HCAIs is weak at present, it has been associated with substantial organisational change. An opportunity now exists to learn from the different strategies that have been adopted.

Increased mortality and length of stay among patients with inflammatory bowel disease and hospital-acquired infections

BACKGROUND & AIMS

Hospitalized patients with inflammatory bowel disease (IBD) could be at increased risk for hospital-acquired infections (HAIs). By using HAI outcome data from Pennsylvania, we examined the influence of HAIs on in-patient mortality and length of stay (LOS) in the hospital among patients with IBD.

METHODS

Data were generated by linking the Clinical Research Databases from CareFusion (formerly MediQual), which includes all acute care hospitals in Pennsylvania, with publicly reported HAI data from Pennsylvania. The study population included all patients discharged in 2004 with International Classification of Diseases, 9th Clinical Modification codes of 555.x or 556.x (2324 IBD cases from 161 hospitals). Controls were selected using risk-score matching with a 5:1 ratio. Mortality and LOS end points were estimated and corroborated with regression methods.

RESULTS

Among the IBD patients studied, there were 20 deaths and 22 reported cases of HAI. The mortality from HAI among patients with IBD was 13.6%, compared with 0.9% among controls (P = .0146, Fisher exact test). The odds ratio for mortality was 17.2 (95% confidence interval, 1.7-174.3). The median LOS for patients with IBD and HAI was 22 days, versus 6 days for controls (P < .001, Wilcoxon). Of the 22 cases with HAIs, 15 were urinary tract infections, 5 were blood stream infections, and 2 were from multiple sources.

CONCLUSIONS

Results from a population-based data set indicate that mortality and LOS are increased among IBD patients who develop HAIs. A majority of the HAIs were from urinary sources. Although HAIs are low-frequency events, increased vigilance to avoid HAI among patients with IBD could improve outcomes.

Assessing specific secondary ICD-9-CM codes as potential predictors of surgical site infections

BACKGROUND

Public reporting and reduced Medicare payments because of health care-associated infections have resulted in the consideration of administrative discharge codes as markers of health care-associated infections. This study aims to determine whether specific secondary ICD-9-CM infection codes linked to cases from a large data set of surgical procedures are predictors of surgical site infections (SSIs).

METHODS

All patients undergoing 1 of 9 surgical procedures from January 1, 2005, through December 31, 2005, at a large academic medical center and who were assigned a secondary ICD-9-CM infection code at discharge were eligible for study inclusion. All cases were reviewed to determine the presence of SSIs. Logistic regression was used to determine which secondary codes were predictors of SSIs.

RESULTS

Among 75 secondary infection codes applied at discharge to 454 patients, only 1 code (998.59) appeared to be reliably associated with SSIs. Two other general infection codes (996.63 and 996.67) and 1 specific infection code (320.3) may also have utility.

CONCLUSION

Administrative coding data do not perform well to identify SSIs. Some general secondary infection codes, however, may have the potential to be utilized in screening algorithms of electronic health data to assist in SSI surveillance.

Statistical process control as a tool for controlling operating room performance: retrospective analysis and benchmarking

BACKGROUND

There is much research using statistical process control (SPC) to monitor surgical performance, including comparisons among groups to detect small process shifts, but few of these studies have included a stabilization process. This study aimed to analyse the performance of surgeons in operating room (OR) and set a benchmark by SPC after stabilized process.

METHODS

The OR profile of 499 patients who underwent laparoscopic cholecystectomy performed by 16 surgeons at a tertiary hospital in Taiwan during 2005 and 2006 were recorded. SPC was applied to analyse operative and non-operative times using the following five steps: first, the times were divided into two segments; second, they were normalized; third, they were evaluated as individual processes; fourth, the ARL(0) was calculated;, and fifth, the different groups (surgeons) were compared. Outliers were excluded to ensure stability for each group and to facilitate inter-group comparison.

RESULTS

The results showed that in the stabilized process, only one surgeon exhibited a significantly shorter total process time (including operative time and non-operative time).

CONCLUSION

In this study, we use five steps to demonstrate how to control surgical and non-surgical time in phase I. There are some measures that can be taken to prevent skew and instability in the process. Also, using SPC, one surgeon can be shown to be a real benchmark.

Strategies to prevent ventilator-associated pneumonia in acute care hospitals

Previously published guidelines are available that provide comprehensive recommendations for detecting and preventing healthcare-associated infections. The intent of this document is to highlight practical recommendations in a concise format designed to assist acute care hospitals in implementing and prioritizing their ventilator-associated pneumonia (VAP) prevention efforts. Refer to the Society for Healthcare Epidemiology of America/Infectious Diseases Society of America “Compendium of Strategies to Prevent Healthcare-Associated Infections” Executive Summary and Introduction and accompanying editorial for additional discussion.

1. Occurrence of VAP in acute care facilities.

a. VAP is one of the most common infections acquired by adults and children in intensive care units (ICUs).

i. In early studies, it was reported that 10%-20% of patients undergoing ventilation developed VAP. More-recent publications report rates of VAP that range from 1 to 4 cases per 1,000 ventilator-days, but rates may exceed 10 cases per 1,000 ventilator-days in some neonatal and surgical patient populations. The results of recent quality improvement initiatives, however, suggest that many cases of VAP might be prevented by careful attention to the process of care.

2. Outcomes associated with VAP

a. VAP is a cause of significant patient morbidity and mortality, increased utilization of healthcare resources, and excess cost.

i. The mortality attributable to VAP may exceed 10%.

ii. Patients with VAP require prolonged periods of mechanical ventilation, extended hospitalizations, excess use of antimicrobial medications, and increased direct medical costs.

The impact of hospital-acquired infection on outcome in acute pancreatitis

BACKGROUND & AIMS

Little is known regarding the impact of hospital-acquired infection (HAI) in acute pancreatitis (AP). We conducted a population-based assessment of the impact of HAI on outcome in AP.

METHODS

Patient data were obtained from the Cardinal Health Clinical Outcomes Research Database, a large population-based data set. Cases with principal diagnosis by International Classification of Diseases, ninth revision, clinical modification 577.0 (AP) between January 2004 and January 2005 were identified. These cases were linked with recently reported HAI data collected by the Pennsylvania Health Care Cost Containment Council. Identification of HAI was based on definitions set forth by the National Nosocomial Infection Surveillance System. We conducted a 5:1 multivariate propensity-matched cohort study to determine the independent contribution of HAI to in-hospital mortality, length of stay (LOS), and hospital charges.

RESULTS

From 177 participating hospitals, there were 11,046 AP cases identified. Eighty-two (0.7%) patients developed an HAI. Mortality in the overall AP population was 1.2% vs 11.4% among 405 matched non-HAI controls vs 28.4% among patients who developed HAI (chi(2) test, P < .0001). Fifteen percent of all deaths was associated with an HAI. Both average LOS and hospital charges were significantly increased among patients with HAI compared with matched non-HAI controls.

CONCLUSIONS

We determined that HAI had a major impact on mortality in AP. Patients who developed HAI also had significantly increased LOS and hospital charges. These differences were not explained by increased disease severity alone. Reducing HAI is an important step to improving outcome in AP.

Administrative coding data, compared with CDC/NHSN criteria, are poor indicators of health care-associated infections

BACKGROUND

ICD-9-CM coding alone has been proposed as a method of surveillance for health care-associated infections (HAIs). The accuracy of this method, however, relative to accepted infection control criteria is not known.

METHODS

Retrospective analysis of patients at an academic medical center in 2005 who underwent surgical procedures or who were at risk for catheter-associated bloodstream infections or ventilator-associated pneumonia was performed. Patients previously identified with HAIs by Centers for Disease Control and Prevention's National Healthcare Safety Network surveillance methods were compared with those of the same risk group identified by secondary infection ICD-9-CM codes. Discordant cases identified by only coding were all rereviewed and adjusted prior to final analysis. When coding and surveillance were both negative, a sample of patients was used to estimate the proportion of false negatives in this group.

RESULTS

The positive predictive values (PPVs) ranged from 0.14 to 0.51 with an aggregate of 0.23, even after adjustment for additional cases detected on subsequent medical record review. The negative predictive values (NPVs) ranged from 0.91 to 1.00, with an aggregate of 0.96. The estimates of the true variance of PPVs and NPVs across surgical procedures were small (0.0129, standard error, 0.009; 0.000145, standard error, 0.00019, respectively) and could be mostly explained by variation in prevalence of surgical site infections.

CONCLUSION

Administrative coding alone appears to be a poor tool to be used as an infection control surveillance method. Its proposed use for routine HAI surveillance, public reporting of HAIs, interfacility comparisons, and nonpayment for performance should be seriously questioned.

Infection control resources in Iowa

BACKGROUND

The duties of infection control professionals (ICPs) have increased over time, but resources have not increased substantially. Numerous states have passed or have considered mandatory reporting laws for health care-associated infections. Such laws would increase ICPs' work further.

METHODS

We conducted two surveys of ICPs in Iowa to determine their current responsibilities and resources and to estimate the resources they would need if they were required to report all nosocomial infections to the state.

RESULTS

Most hospitals had less than 1 full time equivalent performing infection control (mean = 0.64). Many respondents had several roles within the hospital. Surveillance methods and scope varied by hospital size. Most ICPs did not use catheter days as the denominator for rates of bloodstream infections. Over 50% of Iowa's hospitals are critical access hospitals, most of which did not have intensive care units, and most had very few patients with central venous catheters.

CONCLUSIONS

Hospitals in Iowa have limited resources for infection control. "One size fits all" public reporting systems are not appropriate for states like Iowa that have a few large hospitals and many small hospitals.

Raising standards while watching the bottom line: making a business case for infection control

While society would benefit from a reduced incidence of nosocomial infections, there is currently no direct reimbursement to hospitals for the purpose of infection control, which forces healthcare institutions to make economic decisions about funding infection control activities. Demonstrating value to administrators is an increasingly important function of the hospital epidemiologist because healthcare executives are faced with many demands and shrinking budgets. Aware of the difficulties that face local infection control programs, the Society for Healthcare Epidemiology of America (SHEA) Board of Directors appointed a task force to draft this evidence-based guideline to assist hospital epidemiologists in justifying and expanding their programs. In Part 1, we describe the basic steps needed to complete a business-case analysis for an individual institution. A case study based on a representative infection control intervention is provided. In Part 2, we review important basic economic concepts and describe approaches that can be used to assess the financial impact of infection prevention, surveillance, and control interventions, as well as the attributable costs of specific healthcare-associated infections. Both parts of the guideline aim to provide the hospital epidemiologist, infection control professional, administrator, and researcher with the tools necessary to complete a thorough business-case analysis and to undertake an outcome study of a nosocomial infection or an infection control intervention.