Heidi Reichert

Effect of Nonpayment for Hospital-Acquired, Catheter-Associated Urinary Tract Infection: A Statewide Analysis

BACKGROUND Most (59% to 86%) hospital-acquired urinary tract infections (UTIs) are catheter-associated urinary tract infections (CAUTIs). As of 2008, claims data are used to deny payment for certain hospital-acquired conditions, including CAUTIs, and publicly report hospital performance. OBJECTIVE To examine rates of UTIs in adults that are coded in claims data as hospital-acquired and catheter-associated events and evaluate how often nonpayment for CAUTI lowers hospital payment. DESIGN Before-and-after study of all-payer cross-sectional claims data. SETTING 96 nonfederal acute care Michigan hospitals. PATIENTS Nonobstetric adults discharged in 2007 (n = 767 531) and 2009 (n = 781 343). MEASUREMENTS Hospital rates of UTIs (categorized as catheter-associated or hospital-acquired) and frequency of reduced payment for hospital-acquired CAUTIs. RESULTS Hospitals frequently requested payment for non-CAUTIs as secondary diagnoses: 10.0% (95% CI, 9.5% to 10.5%) of discharges in 2007 and 10.3% (CI, 9.8% to 10.9%) in 2009. Hospital rates of CAUTI were very low: 0.09% (CI, 0.06% to 0.12%) in 2007 and 0.14% (CI, 0.11% to 0.17%) in 2009. In 2009, 2.6% (CI, 1.6% to 3.6%) of hospital-acquired UTIs were described as CAUTIs. Nonpayment for hospital-acquired CAUTIs reduced payment for 25 of 781 343 (0.003%) hospitalizations in 2009. LIMITATIONS Data are from only 1 state and involved only 1 year before and after nonpayment for complications. Hospital prevention practices were not examined. CONCLUSION Catheter-associated UTI rates determined by claims data seem to be inaccurate and are much lower than expected from epidemiologic surveillance data. The financial impact of current nonpayment policy for hospital-acquired CAUTI is low. Claims data are currently not valid data sets for comparing hospital-acquired CAUTI rates for the purpose of public reporting or imposing financial incentives or penalties. PRIMARY FUNDING SOURCE Blue Cross Blue Shield of Michigan Foundation.

Variation in Organ Quality between Liver Transplant Centers

A wide spectrum of quality exists among deceased donor organs available for liver transplantation. It is unknown whether some transplant centers systematically use more low quality organs, and what factors might influence these decisions. We used hierarchical regression to measure variation in donor risk index (DRI) in the United States by region, organ procurement organization (OPO) and transplant center. The sample included all adults who underwent deceased donor liver transplantation between January 12, 2005 and February 1, 2009 (n = 23 810). Despite adjusting for the geographic region and OPO, transplant centers’ mean DRI ranged from 1.27 to 1.74, and could not be explained by differences in patient populations such as disease severity. Larger volume centers and those having competing centers within their OPO were more likely to use higher risk organs, particularly among recipients with lower model for end‐stage liver disease (MELD) scores. Centers using higher risk organs had equivalent waiting list mortality rates, but tended to have higher post‐transplant mortality (hazard ratio 1.10 per 0.1 increase in mean DRI). In conclusion, the quality of deceased donor organ patients receive is variable and depends in part on the characteristics of the transplant center they visit.

Estimating population distributions when some data are below a limit of detection by using a reverse kaplan-meier estimator

Background: Data with some values below a limit of detection (LOD) can be analyzed using methods of survival analysis for left-censored data. The reverse Kaplan-Meier (KM) estimator provides an effective method for estimating the distribution function and thus population percentiles for such data. Although developed in the 1970s and strongly advocated since then, it remains rarely used, partly due to limited software availability. Methods: In this paper, the reverse KM estimator is described and is illustrated using serum dioxin data from the University of Michigan Dioxin Exposure Study (UMDES) and the National Health and Nutrition Examination Survey (NHANES). Percentile estimates for left-censored data using the reverse KM estimator are compared with replacing values below the LOD with the LOD/2 or LOD/√2. Results: When some LODs are in the upper range of the complete values, and/or the percent censored is high, the different methods can yield quite different percentile estimates. The reverse KM estimator, which is the nonparametric maximum likelihood estimator, is the preferred method. Software options are discussed: The reverse KM can be calculated using software for the KM estimator. The JMP and SAS (SAS Institute, Cary, NC) and Minitab (Minitab, Inc, State College, PA), software packages calculate the reverse KM directly using their Turnbull estimator routines. Conclusion: The reverse KM estimator is recommended for estimation of the distribution function and population percentiles in preference to commonly used methods such as substituting LOD/2 or LOD/√2 for values below the LOD, assuming a known parametric distribution, or using imputation to replace the left-censored values.

Application of the Brief International Classification of Functioning, Disability, and Health Core Set as a Conceptual Model in Distal Radius Fractures

PURPOSE In 2009, the World Health Organization published a conceptual outcome framework for evaluating upper extremity injury and disease, known as the Brief International Classification of Functioning, Disability, and Health (ICF) Core Set for Hand Conditions. The purpose of this study was to apply the ICF conceptual model to outcomes for distal radius fractures (DRFs) and determine the contribution of each ICF domain to patient satisfaction. METHODS Patient-rated and objective functional outcome data were collected at 6 weeks, 3 months, and 6 months after surgery. We measured satisfaction using a subsection of the Michigan Hand Outcomes Questionnaire (MHQ) satisfaction score. Measured study variables were linked to their corresponding ICF domain (personal factors, environmental factors, activity and participation, and body function). We then used hierarchical regression to assess the contribution of each ICF domain to variation in overall patient satisfaction at each time point. RESULTS We enrolled 53 patients with unilateral DRFs treated with the volar locking plating system. Regression analysis indicated that measured study variables explain 93% (6 weeks), 98% (3 months), and 97% (6 months) of variation in patient satisfaction. For all 3 study assessment dates, activity and participation variables (MHQ-Activities of Daily Living, MHQ-Work, and Jebsen-Taylor Score) contributed the most to variation in patient satisfaction, whereas personal and environmental factors had a considerably smaller role in predicting changes in patient satisfaction. CONCLUSIONS The results demonstrated that it is possible to reliably model the relative contributions of each ICF domain to patient satisfaction over time, and the findings are consistent with previous research (ie, that most outcome variation is due to physical or functional factors). These results are strong enough to support continued use and further research using the ICF model for upper extremity outcomes.

Under Pressure: Financial Effect of the Hospital-Acquired Conditions Initiative-A Statewide Analysis of Pressure Ulcer Development and Payment.

To assess the financial effect of the 2008 Hospital‐Acquired Conditions Initiative (HACI) pressure ulcer payment changes on Medicare, other payers, and hospitals.

Challenges and proposed improvements for reviewing symptoms and catheter use to identify National Healthcare Safety Network catheter-associated urinary tract infections

BACKGROUND Retrospective medical record review is used to categorize urinary tract infections (UTIs) as symptomatic, catheter-associated, and/or healthcare-associated to generate National Healthcare Safety Network (NHSN) surveillance and claims data. We assessed how often patients with UTI diagnoses in claims data had a catheter in place, had documented symptoms, or met the NHSN criteria for catheter-associated UTI (CAUTI). METHODS Two physicians retrospectively reviewed medical records for 294 randomly selected patients hospitalized with UTI as a secondary diagnosis, discharged between October 2008 and September 2009 from the University of Michigan. We applied a modification of recent NHSN criteria to estimate how often UTIs in claims data may be an NHSN CAUTI. RESULTS The 294 patients included 193 women (66%). The mean patient age was 63 years, and the median length of hospital stay was 7.5 days. Catheter use was noted for 216 of 294 postadmission records (74%), including 126 (43%) with a Foley catheter. NHSN symptoms were noted in 113 records (38%); 62 (21%) had symptoms other than fever. Of 136 hospitalizations meeting urine culture criteria, 17 (5.8%) met the criteria for a potential NHSN CAUTI. CONCLUSIONS Retrospective medical record review to identify symptoms and catheter use is complicated and resource-intensive. Requiring standard documentation of symptoms and catheter status when ordering urine cultures could simplify and improve CAUTI surveillance and its fidelity as a hospital quality indicator.

Urinary Catheter Indications in the United States: Results from a National Survey of Acute Care Hospitals

In a survey of acute care hospitals across the United States, we found that many hospitals use indwelling urinary catheters for reasons that are not medically necessary (eg, urinary incontinence without outlet obstruction and patient/family requests). Our findings highlight an opportunity to reduce unnecessary catheter use through promoting awareness of appropriate use.

Dissecting Leapfrog: How Well Do Leapfrog Safe Practices Scores Correlate With Hospital Compare Ratings and Penalties, and How Much Do They Matter?

Background: Voluntary Leapfrog Safe Practices Score (SPS) measures were among the first public reports of hospital performance. Recently, Medicare’s Hospital Compare website has reported compulsory measures. Leapfrog’s Hospital Safety Score (HSS) grades incorporate SPS and Medicare measures. We evaluate associations between Leapfrog SPS and Medicare measures, and the impact of SPS on HSS grades. Methods: Using 2013 hospital data, we linked Leapfrog HSS data with central line–associated bloodstream infection (CLABSI) and catheter-associated urinary tract infection (CAUTI) standardized infection ratios (SIRs), and Hospital Readmission and Hospital-Acquired Condition (HAC) Reduction Program penalties incorporating 2013 performance. For SPS-providing hospitals, we used linear and logistic regression models to predict CLABSI/CAUTI SIRs and penalties as a function of SPS. For hospitals not reporting SPS, we simulated change in HSS grades after imputing a range of SPS. Results: In total, 1089 hospitals reported SPS; >50% self-reported perfect scores for all but 1 measure. No SPS measures were associated with SIRs. One SPS (feedback) was associated with lower odds of HAC penalization (odds ratio, 0.86; 95% confidence interval, 0.76–0.97). Among hospitals not reporting SPS (N=1080), 98% and 54% saw grades decline by 1+ letters with first and 10th percentile SPS imputed, respectively; 49% and 54% saw grades improve by 1+ letter with median and highest SPS imputed. Conclusions: Voluntary Leapfrog SPS measures skew toward positive self-report and bear little association with compulsory Medicare outcomes and penalties. SPS significantly impacts HSS grades, particularly when lower SPS is reported. With increasing compulsory reporting, Leapfrog SPS seems limited for comparing hospital performance.

Systematic review of interventions to reduce urinary tract infection in nursing home residents

BACKGROUND: Urinary tract infections (UTIs) in nursing homes are common, costly, and morbid. PURPOSE: Systematic literature review of strategies to reduce UTIs in nursing home residents. DATA SOURCES: Ovid MEDLINE, Cochrane Library, CINAHL, Web of Science and Embase through June 22, 2015. STUDY SELECTION: Interventional studies with a comparison group reporting at least 1 outcome for: catheter‐associated UTI (CAUTI), UTIs not identified as catheter‐associated, bacteriuria, or urinary catheter use. DATA EXTRACTION: Two authors abstracted study design, participant and intervention details, outcomes, and quality measures. DATA SYNTHESIS: Of 5794 records retrieved, 20 records describing 19 interventions were included: 8 randomized controlled trials, 10 pre‐post nonrandomized interventions, and 1 nonrandomized intervention with concurrent controls. Quality (range, 8–25; median, 15) and outcome definitions varied greatly. Thirteen studies employed strategies to reduce catheter use or improve catheter care; 9 studies employed general infection prevention strategies (eg, improving hand hygiene, surveillance, contact precautions, reducing antibiotics). The 19 studies reported 12 UTI outcomes, 9 CAUTI outcomes, 4 bacteriuria outcomes, and 5 catheter use outcomes. Five studies showed CAUTI reduction (1 significantly); 9 studies showed UTI reduction (none significantly); 2 studies showed bacteriuria reduction (none significantly). Four studies showed reduced catheter use (1 significantly). LIMITATIONS: Studies were often underpowered to assess statistical significance; none were pooled given variety of interventions and outcomes. CONCLUSIONS: Several practices, often implemented in bundles, such as improving hand hygiene, reducing and improving catheter use, managing incontinence without catheters, and enhanced barrier precautions, appear to reduce UTI or CAUTI in nursing home residents.

Are Predictive Energy Expenditure Equations in Ventilated Surgery Patients Accurate

Background: While indirect calorimetry (IC) is the gold standard used to calculate specific calorie needs in the critically ill, predictive equations are frequently utilized at many institutions for various reasons. Prior studies suggest these equations frequently misjudge actual resting energy expenditure (REE) in medical and mixed intensive care unit (ICU) patients; however, their utility for surgical ICU (SICU) patients has not been fully evaluated. Therefore, the objective of this study was to compare the REE measured by IC with REE calculated using specific calorie goals or predictive equations for nutritional support in ventilated adult SICU patients. Materials and Methods: A retrospective review of prospectively collected data was performed on all adults (n = 419, 18-91 years) mechanically ventilated for >24 hours, with an Fio 2 ≤ 60%, who met IC screening criteria. Caloric needs were estimated using Harris-Benedict equations (HBEs), and 20, 25, and 30 kcal/kg/d with actual (ABW), adjusted (ADJ), and ideal body (IBW) weights. The REE was measured using IC. Results: The estimated REE was considered accurate when within ±10% of the measured REE by IC. The HBE, 20, 25, and 30 kcal/kg/d estimates of REE were found to be inaccurate regardless of age, gender, or weight. The HBE and 20 kcal/kg/d underestimated REE, while 25 and 30 kcal/kg/d overestimated REE. Of the methods studied, those found to most often accurately estimate REE were the HBE using ABW, which was accurate 35% of the time, and 25 kcal/kg/d ADJ, which was accurate 34% of the time. This difference was not statistically significant. Conclusion: Using HBE, 20, 25, or 30 kcal/kg/d to estimate daily caloric requirements in critically ill surgical patients is inaccurate compared to REE measured by IC. In SICU patients with nutrition requirements essential to recovery, IC measurement should be performed to guide clinicians in determining goal caloric requirements.