28 NICUs participating in a quality improvement collaborative targeting early-onset sepsis antibiotic use.

OBJECTIVE: There is widespread overuse of antibiotics in neonatal intensive care units (NICUs). The objective of this study was to safely reduce antibiotic use in participating NICUs by targeting early-onset sepsis (EOS) management. STUDY DESIGN: Twenty-eight NICUs participated in this statewide multicenter antibiotic stewardship quality improvement collaborative. The primary aim was to reduce the total monthly mean antibiotic utilization rate (AUR) by 25% in participant NICUs. RESULT: Aggregate AUR was reduced by 15.3% (p < 0.001). There was a wide range in improvement among participant NICUs. There were no increases in EOS rates or nosocomial infection rates related to the intervention. CONCLUSION: Participation in this multicenter NICU antibiotic stewardship collaborative targeting EOS was associated with an aggregate reduction in antibiotic use. This study informs efforts aimed at sustaining improvements in NICU AURs.

Association between Electronic Health Record Implementations and Hospital-Acquired Conditions in Pediatric Hospitals.

BACKGROUND: Implementing an electronic health record (EHR) is one of the most disruptive operational tasks a health system can undergo. Despite anecdotal reports of adverse events around the time of EHR implementations, there is limited corroborating research, particularly in pediatrics. We utilized data from Solutions for Patient Safety (SPS), a network of 145+ children's hospitals that share data and protocols to reduce harm in pediatric care delivery, to study the impact of EHR implementations on patient safety. OBJECTIVE: Determine if there is an association between the time immediately surrounding an EHR implementation and hospital-acquired conditions (HACs) rates in pediatrics. METHODS: A survey of information technology leaders at pediatric institutions identified EHR implementations occurring between 2012 and 2022. This list was cross-referenced with the SPS database to create an anonymized dataset of 27 sites comprising monthly HAC and care bundle compliance rates in the 7 months preceding and succeeding the transition. Six HACs were analyzed: central-line associated bloodstream infection (CLABSI), catheter-associated urinary tract infection (CAUTI), adverse drug events, surgical site infections (SSIs), pressure injuries (PIs), and falls, in addition to four associated care bundle compliance rates: CLABSI and CAUTI maintenance bundles, SSI bundle, and PI bundle. To determine if there was a statistically significant association with EHR implementation, the observation period was divided into three eras: "before" (months -7 to -3), "during" (months -2 to +2), and "after" go-live (months +3 to +7). Average monthly HAC and bundle compliance rates were calculated across eras. Paired t-tests were performed to compare rates between the eras. RESULTS: No statistically significant increase in HAC rates or decrease in bundle compliance rates was observed across the EHR implementation eras. CONCLUSION: This multisite study detected no significant increase in HACs and no decrease in preventive care bundle compliance in the months surrounding an EHR implementation.

Association Between Hospital-Acquired Harm Outcomes and Membership in a National Patient Safety Collaborative.

Importance: Hospital engagement networks supported by the US Centers for Medicare & Medicaid Services Partnership for Patients program have reported significant reductions in hospital-acquired harm, but methodological limitations and lack of peer review have led to persistent questions about the effectiveness of this approach. Objective: To evaluate associations between membership in Children's Hospitals' Solutions for Patient Safety (SPS), a federally funded hospital engagement network, and hospital-acquired harm using standardized definitions and secular trend adjustment. Design, Setting, and Participants: This prospective hospital cohort study included 99 children's hospitals. Using interrupted time series analyses with staggered intervention introduction, immediate and postimplementation changes in hospital-acquired harm rates were analyzed, with adjustment for preexisting secular trends. Outcomes were further evaluated by early-adopting (n = 73) and late-adopting (n = 26) cohorts. Exposures: Hospitals implemented harm prevention bundles, reported outcomes and bundle compliance using standard definitions to the network monthly, participated in learning events, and implemented a broad safety culture program. Hospitals received regular reports on their comparative performance. Main Outcomes and Measures: Outcomes for 8 hospital-acquired conditions were evaluated over 1 year before and 3 years after intervention. Results: In total, 99 hospitals met the inclusion criteria and were included in the analysis. A total of 73 were considered part of the early-adopting cohort (joined between 2012-2013) and 26 were considered part of the late-adopting cohort (joined between 2014-2016). A total of 42 hospitals were freestanding children's hospitals, and 57 were children's hospitals within hospital or health systems. The implementation of SPS was associated with an improvement in hospital-acquired condition rates in 3 of the 8 conditions after accounting for secular trends. Membership in the SPS was associated with an immediate reduction in central catheter-associated bloodstream infections (coefficient = -0.152; 95% CI, -0.213 to -0.019) and falls of moderate or greater severity (coefficient = -0.331; 95% CI, -0.594 to -0.069). The implementation of the SPS was associated with a reduction in the monthly rate of adverse drug events (coefficient = -0.021; 95% CI, -0.034 to -0.008) in the post-SPS period. The study team observed larger decreases for the early-adopting cohort compared with the late-adopting cohort. Conclusions and Relevance: Through the application of rigorous methods (standard definitions and longitudinal time series analysis with adjustment for secular trends), this study provides a more thorough analysis of the association between the Partnership for Patients hospital engagement network model and reductions in hospital-acquired conditions. These findings strengthen previous claims of an association between this model and improvement. However, inconsistent observations across hospital-acquired conditions when adjusted for secular trends suggests that some caution regarding attributing all effects observed to this model is warranted.

Vignettes Identify Variation in Antibiotic Use for Suspected Early Onset Sepsis.

BACKGROUND AND OBJECTIVES: There is widespread unwarranted antibiotic use and large individual provider variation in antibiotic use in NICUs. Vignette-based research methodology offers a unique method of studying variation in individual provider decisions. The objective with this study was to use a vignette-based survey to identify specific areas of provider antibiotic use variation in newborns being evaluated for early onset sepsis. METHODS: This study was undertaken as part of a statewide multicenter neonatal antibiotic stewardship quality improvement project led by a perinatal quality improvement collaborative. A web-based vignette survey was administered to identify variation in decisions to start and discontinue antibiotics in cases of early onset sepsis. RESULTS: The largest variation was noted in 3 of the 6 vignette cases. These cases highlighted variation in (1) decisions to start antibiotics in a case describing a well-appearing newborn with risk factors and an elevated C-reactive protein, (2) decisions to start antibiotics in the case of a newborn with risk factors plus mild respiratory signs at birth, and (3) decisions to stop antibiotics in the case of the newborn with a history of sepsis risk factors and mild clinical respiratory signs that resolved after 72 hours. CONCLUSIONS: Clinical vignette assessment identified specific areas of variation in individual provider antibiotic use decisions in cases of suspected early onset sepsis. Vignettes are a valuable method of describing individual provider variation and highlighting antibiotic stewardship improvement opportunities in NICUs.

Target-Based Care: An Intervention to Reduce Variation in Postoperative Length of Stay.

OBJECTIVES: To derive care targets and evaluate the impact of displaying them at the point of care on postoperative length of stay (LOS). STUDY DESIGN: A prospective cohort study using 2 years of historical controls within a freestanding, academic children's hospital. Patients undergoing benchmark cardiac surgery between May 4, 2014, and August 15, 2016 (preintervention) and September 6, 2016, to September 30, 2018 (postintervention) were included. The intervention consisted of displaying at the point of care targets for the timing of extubation, transfer from the intensive care unit (ICU), and hospital discharge. Family satisfaction, reintubation, and readmission rates were tracked. RESULTS: The postintervention cohort consisted of 219 consecutive patients. There was a reduction in variation for ICU (difference in SD -2.56, P < .01) and total LOS (difference in SD -2.84, P < .001). Patients stayed on average 0.97 fewer days (P < .001) in the ICU (median -1.01 [IQR -2.15, -0.39]), 0.7 fewer days (P < .001) on mechanical ventilation (median -0.54 [IQR -0.77, -0.50]), and 1.18 fewer days (P < .001) for the total LOS (median -2.25 [IQR -3.69, -0.15]). Log-transformed multivariable linear regression demonstrated the intervention to be associated with shorter ICU LOS (ß coefficient -0.19, SE 0.059, P < .001), total postoperative LOS (ß coefficient -0.12, SE 0.052, P = .02), and ventilator duration (ß coefficient -0.21, SE 0.048, P < .001). Balancing metrics did not differ after the intervention. CONCLUSIONS: Target-based care is a simple, novel intervention associated with reduced variation in LOS and absolute LOS across a diverse spectrum of complex cardiac surgeries.

The Correlation Between Neonatal Intensive Care Unit Safety Culture and Quality of Care.

OBJECTIVES: Key validated clinical metrics are being used individually and in aggregate (Baby-MONITOR) to monitor the performance of neonatal intensive care units (NICUs). The degree to which perceptions of key components of safety culture, safety climate, and teamwork are related to aspects of NICU quality of care is poorly understood. The objective of this study was to test whether NICU performance on key clinical metrics correlates with caregiver perceptions of safety culture. STUDY DESIGN: Cross-sectional study of 6253 very low-birth-weight infants in 44 NICUs. We measured clinical quality via the Baby-MONITOR and its nine risk-adjusted and standardized subcomponents (antenatal corticosteroids, hypothermia, pneumothorax, healthcare-associated infection, chronic lung disease, retinopathy screen, discharge on any human milk, growth velocity, and mortality). A voluntary sample of 2073 of 3294 eligible professional caregivers provided ratings of safety and teamwork climate using the Safety Attitudes Questionnaire. We examined NICU-level variation across clinical and safety culture ratings and conducted correlation analysis of these dimensions. RESULTS: We found significant variation in clinical and safety culture metrics across NICUs. Neonatal intensive care unit teamwork and safety climate ratings were correlated with absence of healthcare-associated infection (r = 0.39 [P = 0.01] and r = 0.29 [P = 0.05], respectively). None of the other clinical metrics, individual or composite, were significantly correlated with teamwork or safety climate. CONCLUSIONS: Neonatal intensive care unit teamwork and safety climate were correlated with healthcare-associated infections but not with other quality metrics. Linkages to clinical measures of quality require additional research.

Operating Room Codes Redefined: A Highly Reliable Model Integrating the Core Hospital Code Team.

INTRODUCTION: Typically, multidisciplinary teams manage cardiac arrests occurring outside of the operating room (OR). This approach results in reduced morbidity. However, arrests that occur in the OR are usually managed by OR personnel alone, missing the benefits of out-of-OR hospital code teams. At our institution, there were multiple pathways to activate codes, each having different respondents, depending on time and day of the week. This improvement initiative aimed to create a reliable intraoperative emergency response system with standardized respondents and predefined roles. METHODS: A multidisciplinary improvement team led this project at an academic pediatric hospital in California. After simulations performed in the OR (in situ), the team identified a valuable key driver-a consistent activation process that initiated standard respondents, 24 hours a day, 7 days a week. By utilizing core hospital code members routinely available outside of the OR during days, nights, and weekends, respondents were identified to augment OR personnel. Code roles were preassigned. After education, we conducted in situ simulations that included the perioperative and out-of-OR code team members. We administered a knowledge assessment to perioperative staff. RESULTS: The knowledge assessment for perioperative staff (n = 52) had an average score of 96%. Review of subsequent OR codes reflects an improved initiation process and management. CONCLUSIONS: The process for activating the emergency response system and roles for intraoperative code respondents were standardized to ensure a predictable code response, regardless of time or day of the week. Ongoing simulations with perioperative personnel continue to optimize the process.

Safety climate, safety climate strength, and length of stay in the NICU.

BACKGROUND: Safety climate is an important marker of patient safety attitudes within health care units, but the significance of intra-unit variation of safety climate perceptions (safety climate strength) is poorly understood. This study sought to examine the standard safety climate measure (percent positive response (PPR)) and safety climate strength in relation to length of stay (LOS) of very low birth weight (VLBW) infants within California neonatal intensive care units (NICUs). METHODS: Observational study of safety climate from 2073 health care providers in 44 NICUs. Consistent perceptions among a NICU's respondents, i.e., safety climate strength, was determined via intra-unit standard deviation of safety climate scores. The relation between safety climate PPR, safety climate strength, and LOS among VLBW (< 1500 g) infants was evaluated using log-linear regression. Secondary outcomes were infections, chronic lung disease, and mortality. RESULTS: NICUs had safety climate PPRs of 66 ± 12%, intra-unit standard deviations 11 (strongest) to 23 (weakest), and median LOS 60 days. NICUs with stronger climates had LOS 4 days shorter than those with weaker climates. In interaction modeling, NICUs with weak climates and low PPR had the longest LOS, NICUs with strong climates and low PPR had the shortest LOS, and NICUs with high PPR (both strong and weak) had intermediate LOS. Stronger climates were associated with lower odds of infections, but not with other secondary outcomes. CONCLUSIONS: Safety climate strength is independently associated with LOS and moderates the association between PPR and LOS among VLBW infants. Strength and PPR together provided better prediction than PPR alone, capturing variance in outcomes missed by PPR. Evaluations of NICU safety climate consider both positivity (PPR) and consistency of responses (strength) across individuals.

A multifaceted quality improvement project improves intraoperative redosing of surgical antimicrobial prophylaxis during pediatric surgery.

BACKGROUND: Accurate intraoperative antibiotic redosing contributes to prevention of surgical site infections in pediatric patients. Ensuring compliance with evolving national guidelines of weight-based, intraoperative redosing of antibiotics is challenging to pediatric anesthesiologists. AIMS: Our primary aim was to increase compliance of antibiotic redoses at the appropriate time and appropriate weight-based dose to 70%. Secondary aims included a subset analysis of time compliance and dose compliance individually, and compliance based on order entry method of the first dose (verbal or electronic). METHODS: At a freestanding, academic pediatric hospital, we reviewed surgical cases between May 1, 2014, and October 31, 2017 requiring antibiotic redoses. After an institutional change in cefazolin dosing in May 2015, phased interventions to improve compliance included electronic countermeasures to display previous and next dose timing, an alert 5 minutes prior to next dose, and weight-based dose recommendation (September 2015). Physical countermeasures include badge cards, posting of guidelines, and updates to housestaff manual (September 2015). Statistical process control charts were used to assess overall antibiotic redose compliance, time compliance, and dose compliance. The chi-square test was used to analyze group differences. RESULTS: A total of 3015 antibiotic redoses were administered during 2341 operative cases between May 1, 2014, and October 31, 2017. Mean monthly compliance with redosing was 4.3% (May 2014-April 2015) and 73% (November 2015-October 2017) (P < 0.001). Dose-only compliance increased from 76% to 89% (P < 0.001), and time-only compliance increased from 4.9% to 82% (P < 0.001). After implementation of countermeasures, electronic order entry compared with verbal order was associated with higher dose compliance, 90% vs 86% (P = 0.015). CONCLUSION: This quality improvement project, utilizing electronic and physical interventions, was effective in improving overall prophylactic antibiotic redosing compliance in accordance with institutional redosing guidelines.

Self-Reported Adherence to High Reliability Practices Among Participants in the Children's Hospitals' Solutions for Patient Safety Collaborative.

BACKGROUND: Application of high reliability principles has the potential to transform the health care industry to perform with a higher level of safety than is present today. The purpose of this study was to quantitatively assess and describe the extent and variability of integration of high reliability practices among a collaborative of children's hospitals using the High Reliability Health Care Maturity (HRHCM) model. METHODS: A survey instrument based on the HRHCM model was developed to determine the extent of integration of high reliability practices across hospitals participating in the Children's Hospitals' Solutions for Patient Safety (CHSPS) network. The survey was distributed with instructions for completion to obtain a single organizational response, which was then used to quantify the extent to which high reliability attributes were implemented at each organization. RESULTS: Of the 95 institutions in the CHSPS at the time of the study, 46 provided a complete response to the survey (48.4% response rate). The overall mean score for high reliability was 42.3 (range: 28-53), which places the cohort in the stage of approaching high reliability. Of the responding organizations, none fell into the beginning stage, while 15.2% landed in the developing, 4.3% in the advancing, and 80.4% in the approaching high reliability stages. CONCLUSION: Understanding high reliability attributes and assessing the location of individual and collaborative-wide sites along the high reliability continuum using this maturity model identify opportunities for organizations as they progress on their high reliability journey. Our results suggest opportunity in all domains of the high reliability maturity model for the majority of participating children's hospitals.

A Postoperative Care Bundle Reduces Surgical Site Infections in Pediatric Patients Undergoing Cardiac Surgeries.

BACKGROUND: Pediatric patients undergoing cardiac surgeries are at an increased surgical site infection (SSI) risk, given prolonged cardiopulmonary bypasses and delayed sternal closures. At one institution, the majority of cardiac patients developed SSIs during prolonged recoveries in the cardiovascular intensive care unit (CVICU). Although guidelines have been published to reduce SSIs in the perioperative period, there have been few guidelines to reduce the risk during prolonged hospital recoveries. The aim of this project was to study a postoperative SSI reduction care bundle, with a goal of reducing cardiac SSIs by 50%, from 3.4 to 1.7 per 100 procedures. METHODS: This project was conducted at a quaternary, pediatric academic center with a 20-bed CVICU. Historical control data were recorded from January 2013 through May 2015 and intervention/sustainment data from June 2015 through March 2017. A multidisciplinary SSI reduction team developed five key drivers that led to implementation of 11 postoperative SSI reduction care elements. Statistical process control charts were used to measure process compliance, and Pearson's chi-square test was used to determine differences in SSI rates. RESULTS: Prior to implementation, there were 27 SSIs in 799 pediatric cardiac surgeries (3.4 SSIs per 100 surgeries). After the intervention, SSIs significantly decreased to 5 in 570 procedures (0.9 SSIs per 100 surgeries; p = 0.0045). CONCLUSION: This project describes five key drivers and 11 elements that were dedicated to reducing the risk of SSI during prolonged CVICU recoveries from pediatric cardiac surgery, with demonstrated sustainability.

Costs of Quality and Safety in Radiology.

With the movement toward at-risk population health management-related payment models, a core factor for the success and survival of health care organizations has become understanding and decreasing costs. In medical specialties such as radiology, understanding models for procedure-based costing will become increasingly important. Using bottom-up models for procedure-based costing, such as time-driven activity-based costing, is more advantageous than using the inaccurate ratio of costs to charges approach; however, these approaches are more resource intensive when compared to top-down approaches. Understanding the costs of quality is also important for creating an accounting and budgeting process that reflects the total cost of quality. The costs of quality are divided into two main categories: the cost of control (also referred to as the costs of conformance) and the costs of failure of control (also referred to as the costs of nonconformance). The costs of control are the expenditures that occur to ensure quality. The costs of noncontrol are the expenses that arise from the lack of quality and safety. The cost of control has two subcategories: prevention costs and appraisal costs. The cost of noncontrol also has two subcategories: internal failure costs and external failure costs. Adopting a mind-set that takes into account the costs of control, or the costs to ensure high-quality care, and the costs of noncontrol, or the hidden costs of poor-quality care, will be essential for successful health care organizations in the future. ©RSNA, 2018.

Using a Pediatric Trigger Tool to Estimate Total Harm Burden Hospital-acquired Conditions Represent.

INTRODUCTION: To improve patient safety, the Centers for Medicare & Medicaid Services (CMS) has promoted systematically measuring and reporting harm due to patient care. The CMS's Partnership for Patients program identified 9 hospital-acquired conditions (HACs) for reduction, to make care safer, more reliable, and less costly. However, the proportion of inpatient pediatric harm represented by these HACs is unknown. METHODS: We conducted a retrospective review of 240 harms previously identified using the Pediatric All-Cause Harm Measurement Tool, a trigger tool that is applied to medical records to comprehensively identify harms. The original sample included 600 randomly selected patients from 6 children's hospitals in February 2012. Patients with rehabilitation, obstetric, newborn nursery, and psychiatric admissions were excluded. The 240 identified harms were classified as a HAC if the event description potentially met the definition of 1 of the 9 CMS-defined HACs. HAC assessment was performed independently by 2 coauthors and compared using Cohen's Kappa. RESULTS: Two hundred forty harms across 6 children's hospitals were identified in February 2012 using a pediatric global trigger tool. Agreement between the coauthors on HAC classification was high (Kappa = 0.77). After reconciling differences, of the 240 identified harms, 58 (24.2%; 95% confidence interval: 9.1-31.7%) were classified as a CMS-defined HAC. CONCLUSIONS: One-fourth of all harms detected by a pediatric-specific trigger tool are represented by HACs. Although substantial effort is focused on identifying and minimizing HACs, to better understand and ultimately mitigate harm, more comprehensive harm identification and quantification may be needed to address events unidentified using this approach.

A Retrospective Review of a Bed-mounted Projection System for Managing Pediatric Preoperative Anxiety.

INTRODUCTION: Most children undergoing anesthesia experience significant preoperative anxiety. We developed a bedside entertainment and relaxation theater (BERT) as an alternative to midazolam for appropriate patients undergoing anesthesia. The primary aim of this study was to determine if BERT was as effective as midazolam in producing cooperative patients at anesthesia induction. Secondary aims reviewed patient emotion and timeliness of BERT utilization. METHODS: We conducted a retrospective cohort study of pediatric patients undergoing anesthesia at Lucile Packard Children's Hospital Stanford between February 1, 2016, and October 1, 2016. Logistic regression compared induction cooperation between groups. Multinomial logistic regression compared patients' emotion at induction. Ordinary least squares regression compared preoperative time. RESULTS: Of the 686 eligible patients, 163 were in the BERT group and 150 in the midazolam. Ninety-three percentage of study patients (290/313) were cooperative at induction, and the BERT group were less likely to be cooperative (P = 0.04). The BERT group was more likely to be "playful" compared with "sedated" (P < 0.001). There was a reduction of 14.7 minutes in preoperative patient readiness associated with BERT (P = 0.001). CONCLUSIONS: Although most patients were cooperative for induction in both groups, the midazolam group was more cooperative. The BERT reduced the preinduction time and was associated with an increase in patients feeling "playful."

Safety Stop: A Valuable Addition to the Pediatric Universal Protocol.

PROBLEM DEFINITION: The World Health Organization (WHO) guidelines and Joint Commission requirements state that the time-out component of the Universal Protocol for Preventing Wrong Site, Wrong Procedure, and Wrong Person Surgery™ must be performed just prior to incision. A mock Joint Commission survey at one institution revealed that the time-out was performed prior to preparation and draping (P&D) of the patient, not afterward, representing both a patient and regulatory risk. APPROACH: The multidisciplinary perioperative quality improvement team at a freestanding, quaternary care, academic pediatric hospital led the development of a new time-out process. An enhanced pediatric Universal Protocol, which included a new component, the safety stop, was created. The safety stop occurred just prior to P&D of the patient, and the time-out was performed just prior to incision, aligning with WHO recommendations. After electronic correspondence and several perioperative leadership meetings, the enhanced pediatric Universal Protocol was initiated. Compliance audits were performed to demonstrate comprehensive adoption. OUTCOMES: In seven operating room locations, 60 audits were completed in four weeks, with 96.7% (58/60) demonstrating compliance with the new policy. During a subsequent Joint Commission accreditation survey, the enhanced pediatric Universal Protocol with inclusion of the safety stop was highlighted as a leading practice. KEY INSIGHTS: Although initially it was believed that moving the time-out from prior to P&D to just prior to incision would be a simple solution, flow mapping the complete time-out process identified significant risk of wrong-site or wrong-patient surgery with this solution. This risk was exacerbated by the small body size of pediatric patients being obscured by draping on a typical operating room table.

Adverse Events in Hospitalized Pediatric Patients.

: media-1vid110.1542/5789657761001PEDS-VA_2017-3360Video Abstract BACKGROUND: Patient safety concerns over the past 2 decades have prompted widespread efforts to reduce adverse events (AEs). It is unclear whether these efforts have resulted in reductions in hospital-wide AE rates. We used a validated safety surveillance tool, the Global Assessment of Pediatric Patient Safety, to measure temporal trends (2007-2012) in AE rates among hospitalized children. METHODS: We conducted a retrospective surveillance study of randomly selected pediatric inpatient records from 16 teaching and nonteaching hospitals. We constructed Poisson regression models with hospital random intercepts, controlling for patient age, sex, insurance, and chronic conditions, to estimate changes in AE rates over time. RESULTS: Examining 3790 records, reviewers identified 414 AEs (19.1 AEs per 1000 patient days; 95% confidence interval [CI] 17.2-20.9) and 210 preventable AEs (9.5 AEs per 1000 patient days; 95% CI 8.2-10.8). On average, teaching hospitals had higher AE rates than nonteaching hospitals (26.2 [95% CI 23.7-29.0] vs 5.1 [95% CI 3.7-7.1] AEs per 1000 patient days, P < .001). Chronically ill children had higher AE rates than patients without chronic conditions (33.9 [95% CI 24.5-47.0] vs 14.0 [95% CI 11.8-16.5] AEs per 1000 patient days, P < .001). Multivariate analyses revealed no significant changes in AE rates over time. When stratified by hospital type, neither teaching nor nonteaching hospitals experienced significant temporal AE rate variations. CONCLUSIONS: AE rates in pediatric inpatients are high and did not improve from 2007 to 2012. Pediatric AE rates were substantially higher in teaching hospitals as well as in patients with more chronic conditions.

Comparison of Collaborative Versus Single-Site Quality Improvement to Reduce NICU Length of Stay.

BACKGROUND: There is unexplained variation in length of stay (LOS) across NICUs, suggesting that there may be practices that can optimize LOS. METHODS: Three groups of NICUs in the California Perinatal Quality Care Collaborative were followed: (1) collaborative centers participating in an 18-month collaborative quality improvement project to optimize LOS for preterm infants; (2) individual centers aiming to optimize LOS; and (3) nonparticipants. Our aim in the collaborative project was to decrease postmenstrual age (PMA) at discharge for infants born between 27 + 0 and <32 weeks' gestational age by 3 days. A secondary outcome was "early discharge," the proportion of infants discharged from the hospital before 36 + 5 weeks' PMA. The balancing measure of readmissions within 72 hours was tracked for the collaborative group. RESULTS: From 2013 to 2015, 8917 infants were cared for in 20 collaborative NICUs, 19 individual project NICUs, and 71 nonparticipants. In the collaborative group, the PMA at discharge decreased from 37.8 to 37.5 weeks (P = .02), and early discharge increased from 31.6% to 41.9% (P = .006). The individual project group had no significant change. Nonparticipants had a decrease in PMA from 37.5 to 37.3 weeks (P = .01) but no significant change in early discharge (39.8% to 43.6%; P = .24). There was no significant change in readmissions over time in the collaborative group. CONCLUSIONS: A structured collaborative project that was focused on optimizing LOS led to a 3-day decrease in LOS and was more effective than individualized quality improvement efforts.