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OBJECTIVES: Patient safety indicators (PSIs) were developed by the Agency for Healthcare Research and Quality. Our objectives were (1) to apply these algorithms to the National Association of Children's Hospitals and Related Institutions (NACHRI) Aggregate Case Mix Comparative Database for 1999-2002, (2) to establish mean rates for each of the PSI events in children's hospitals, (3) to investigate the inadequacies of PSIs in relation to pediatric diagnoses, and (4) to express the data in such a way that children's hospitals could use the PSIs determined to be appropriate for pediatric use for comparison with their own data. In addition, we wanted to use the data to set priorities for ongoing clinical investigations and to propose interventions if the indicators demonstrated preventable errors. METHODS: The Agency for Healthcare Research and Quality PSI algorithms (version 2.1, revision 1) were applied to children's hospital administrative data (1.92 million discharges) from the NACHRI Aggregate Case Mix Comparative Database for 1999-2002. Rates were measured for the following events: complications of anesthesia, death in low-mortality diagnosis-related groups (DRGs), decubitus ulcer, failure to rescue (ie, death resulting from a complication, rather than the primary diagnosis), foreign body left in during a procedure, iatrogenic pneumothorax, infection attributable to medical care (ie, infections related to surgery or device placement), postoperative hemorrhage or hematoma, postoperative pulmonary embolism or venous thrombosis, postoperative wound dehiscence, and accidental puncture/laceration. RESULTS: Across the 4 years of data, the mean risk-adjusted rates of PSI events ranged from 0.01% (0.1 event per 1000 discharges) for a foreign body left in during a procedure to 14.0% (140 events per 1000 discharges) for failure to rescue. Review of International Classification of Diseases, Ninth Revision, Clinical Modification codes associated with each PSI category showed that the failure to rescue and death in low-mortality DRG indicators involved very complex cases and did not predict preventable events in the majority of cases. The PSI for infection attributable to medical care appeared to be accurate the majority of the time. Incident risk-adjusted rates of infections attributable to medical care averaged 0.35% (3.5 events per 1000 discharges) and varied up to fivefold from the lowest rate to the highest rate. The highest rates were up to 1.8 times the average. CONCLUSIONS: PSIs derived from administrative data are indicators of patient safety concerns and can be relevant as screening tools for children's hospitals; however, cases identified by these indicators do not always represent preventable events. Some, such as a foreign body left in during a procedure, iatrogenic pneumothorax, infection attributable to medical care, decubitus ulcer, and venous thrombosis, seem to be appropriate for pediatric care and may be directly amenable to system changes. Evidence-based practices regarding those particular indicators that have been reported in the adult literature need to be investigated in the pediatric population. In their present form, 2 of the indicators, namely, failure to rescue and death in low-mortality DRGs, are inaccurate for the pediatric population, do not represent preventable errors in the majority of pediatric cases, and should not be used to estimate quality of care or preventable deaths in children's hospitals. The PSIs can assist institutions in prioritizing chart review-based investigations; if clusters of validated events emerge in reviews, then improvement activities can be initiated. Large aggregate databases, such as the NACHRI Case Mix Database, can help establish mean rates of potential pediatric events, giving children's hospitals a context within which to examine their own data. [ABSTRACT FROM AUTHOR]

Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.

Background and Objective: Like their adult counterparts, pediatric hospitals are increasingly at risk for financial penalties based on readmissions. Limited information is available on how the composition of a hospital's patient population affects performance on this metric and hence affects reimbursement for hospitals providing pediatric care. We sought to determine whether applying different readmission metrics differentially affects hospital performance based on the characteristics of patients a hospital serves., Methods: We performed a cross-sectional analysis of 64 children's hospitals from the Children's Hospital Association Case Mix Comparative Database 2012 and 2013. We calculated 30-day observed-to-expected readmission ratios by using both all-cause (AC) and Potentially Preventable Readmissions (PPR) metrics. We examined the association between observed-to-expected rates and hospital characteristics by using multivariable linear regression., Results: We examined a total of 1 416 716 hospitalizations. The mean AC 30-day readmission rate was 11.3% (range 4.3%-19.6%); the mean PPR rate was 4.9% (range 2.9%-6.9%). The average 30-day AC observed-to-expected ratio was 0.96 (range 0.63-1.23), compared with 0.95 (range 0.65-1.23) for PPR; 59% of hospitals performed better than expected on both measures. Hospitals with higher volumes, lower percentages of infants, and higher percentage of patients with low income performed worse than expected on PPR., Conclusions: High-volume hospitals, those that serve fewer infants, and those with a high percentage of patients from low-income neighborhoods have higher than expected PPR rates and are at higher risk of reimbursement penalties., (Copyright © 2017 by the American Academy of Pediatrics.)

Objective: After implementation of rotavirus vaccination in 2006, large decreases in rates of severe diarrhea among US children occurred in 2007-2008. We ascertained whether these decreases were sustained in 2008-2009., Methods: We examined hospital discharge data from a national network of pediatric hospitals and compared all-cause diarrhea-related and rotavirus-specific hospitalizations in 3 prevaccine rotavirus seasons (2003-2006) with those in 2 postvaccine seasons (2007-2008 and 2008-2009) among children <5 years of age. We defined rotavirus seasons using data from a national laboratory surveillance network., Results: At 62 consistently reporting hospitals, a median of 15 645 diarrhea-related hospitalizations (range: 14 881-16 884 hospitalizations) occurred each rotavirus season among children <5 years of age in 2003-2006. Compared with this median, all-cause diarrhea-related hospitalizations decreased by 50% (n = 7760) in 2007-2008 and by 29% (n = 11 039) in 2008-2009. In 2007-2008, reductions of 47% to 55% were seen for all age groups, including vaccine-ineligible children ≥2 years of age (48%). In 2008-2009, these reductions decreased in magnitude, especially among children ≥2 years of age (17%). Decreases in 2007-2008 and 2008-2009 were similar in the Northeast and West, but decreases were smaller in 2008-2009, compared with 2007-2008, in the Midwest and South., Conclusions: Compared with prevaccine seasons, decreases in diarrhea- and rotavirus-associated hospitalizations seen in 2007-2008 were sustained in 2008-2009 but were somewhat smaller. Given the variability in diarrhea-related hospitalization trends over the 2 postvaccine seasons according to age group and region, continued surveillance is required for full assessment of the impact of rotavirus vaccination.

Objective: Despite the magnitude of the problem of catheter-associated bloodstream infections (CA-BSIs) in children, relatively little research has been performed to identify effective strategies to reduce these complications. In this study, we aimed to develop and evaluate effective catheter-care practices to reduce pediatric CA-BSIs., Study Design and Methods: Our study was a multi-institutional, interrupted time-series design with historical control data and was conducted in 29 PICUs across the United States. Two central venous catheter-care practice bundles comprised our intervention: the insertion bundle of pediatric-tailored care elements derived from adult efforts and the maintenance bundle derived from the Centers for Disease Control and Prevention recommendations and expert pediatric clinician consensus. The bundles were deployed with quality-improvement teaching and methods to support their adoption by teams at the participating PICUs. The main outcome measures were the rate of CA-BSIs from January 2004 to September 2007 and compliance with each element of the insertion and maintenance bundles from October 2006 to September 2007., Results: Average CA-BSI rates were reduced by 43% across 29 PICUs (5.4 vs 3.1 CA-BSIs per 1000 central-line-days; P < .0001). By September 2007, insertion-bundle compliance was 84% and maintenance-bundle compliance was 82%. Hierarchical regression modeling showed that the only significant predictor of an observed decrease in infection rates was the collective use of the insertion and maintenance bundles, as demonstrated by the relative rate (RR) and confidence intervals (CIs) (RR: 0.57 [95% CI: 0.45-0.74]; P < .0001). We used comparable modeling to assess the relative importance of the insertion versus maintenance bundles; the results showed that the only significant predictor of an infection-rate decrease was maintenance-bundle compliance (RR: 0.41 [95% CI: 0.20-0.85]; P = .017)., Conclusions: In contrast with adult ICU care, maximizing insertion-bundle compliance alone cannot help PICUs to eliminate CA-BSIs. The main drivers for additional reductions in pediatric CA-BSI rates are issues that surround daily maintenance care for central lines, as defined in our maintenance bundle. Additional research is needed to define the optimal maintenance bundle that will facilitate elimination of CA-BSIs for children.

Objectives: Pediatric quality indicators were developed in 2006 by the Agency for Healthcare Research and Quality to identify potentially preventable complications in hospitalized children. Our objectives for this study were to (1) apply these algorithms to an aggregate children's hospital's discharge abstract database, (2) establish rates for each of the pediatric quality indicator events in the children's hospitals, (3) use direct chart review to investigate the accuracy of the pediatric quality indicators, (4) calculate the number of complications that were already present on admission and, therefore, not attributable to the specific hospitalization, and (5) evaluate preventability and calculate positive predictive value for each of the indicators. In addition, we wanted to use the data to set priorities for ongoing clinical investigation., Methods: The Agency for Healthcare Research and Quality pediatric quality indicator algorithms were applied to 76 children's hospital's discharge abstract data (1794675 discharges) from 2003 to 2005. Rates were calculated for 11 of the pediatric quality indicators from all 3 years of discharge data: accidental puncture or laceration, decubitus ulcer, foreign body left in during a procedure, iatrogenic pneumothorax in neonates at risk, iatrogenic pneumothorax in nonneonates, postoperative hemorrhage or hematoma, postoperative respiratory failure, postoperative sepsis, postoperative wound dehiscence, selected infections caused by medical care, and transfusion reaction. Subsequently, clinicians from 28 children's hospitals reviewed 1703 charts in which complications had been identified. They answered questions as to correctness of secondary diagnoses that were associated with the indicator, whether a complication was already present on admission, and whether that complication was preventable, nonpreventable, or uncertain., Results: Across 3 years of data the rates of pediatric quality indicators ranged from a low of 0.01/1000 discharges for transfusion reaction to a high of 35/1000 for postoperative respiratory failure, with a median value of 1.85/1000 for the 11 pediatric quality indicators. Indicators were often already present on admission and ranged from 43% for infection caused by medical care to 0% for iatrogenic pneumothorax in neonates, with a median value of 16.9%. Positive predictive value for the subset of pediatric quality indicators occurring after admission was highest for decubitus ulcer (51%) and infection caused by medical care (40%). Because of the very large numbers of cases identified and its low preventability, the indicator postoperative respiratory failure is particularly problematic. The initial definition includes all children on ventilators postoperatively for >4 days with few exclusions. Being on a ventilator for 4 days would be a normal occurrence for many children with extensive surgery; therefore, the majority of the time does not indicate a complication and makes the indicator inappropriate., Conclusions: A subset of pediatric quality indicators derived from administrative data are reasonable screening tools to help hospitals prioritize chart review and subsequent improvement projects. However, in their present form, true preventability of these complications is relatively low; therefore, the indicators are not useful for public hospital comparison. Identifying which complications are present on admission versus those that occur within the hospitalization will be essential, along with adequate risk adjustment, for any valid comparison between institutions. Infection caused by medical care and decubitus ulcers are clinically important indicators once the present-on-admission status is determined. These complications cause significant morbidity in hospitalized children, and research has shown a high level of preventability. The pediatric quality indicator software can help children's hospitals objectively review their cases and target improvement activities appropriately. The postoperative-respiratory-failure indicator does not represent a complication in the majority of cases and, therefore, should not be included for hospital screening or public comparison. Chart review should become part of the development process for quality indicators to avoid inappropriate conclusions that misdirect quality-improvement resources.