The Diagnostic Error Index: A Quality Improvement Initiative to Identify and Measure Diagnostic Errors.

OBJECTIVE: To develop a diagnostic error index (DEI) aimed at providing a practical method to identify and measure serious diagnostic errors. STUDY DESIGN: A quality improvement (QI) study at a quaternary pediatric medical center. Five well-defined domains identified cases of potential diagnostic errors. Identified cases underwent an adjudication process by a multidisciplinary QI team to determine if a diagnostic error occurred. Confirmed diagnostic errors were then aggregated on the DEI. The primary outcome measure was the number of monthly diagnostic errors. RESULTS: From January 2017 through June 2019, 105 cases of diagnostic error were identified. Morbidity and mortality conferences, institutional root cause analyses, and an abdominal pain trigger tool were the most frequent domains for detecting diagnostic errors. Appendicitis, fractures, and nonaccidental trauma were the 3 most common diagnoses that were missed or had delayed identification. CONCLUSIONS: A QI initiative successfully created a pragmatic approach to identify and measure diagnostic errors by utilizing a DEI. The DEI established a framework to help guide future initiatives to reduce diagnostic errors.

Significant Reduction of Central-Line Associated Bloodstream Infections in a Network of Diverse Neonatal Nurseries.

OBJECTIVE: To describe a quality improvement (QI) initiative that was associated with a dramatic reduction in neonatal central-line associated bloodstream infection (CLABSI) rate in a diverse group of 8 intensive care nurseries (Neonatal Services). STUDY DESIGN: A quasi-experimental time series QI initiative using the model for improvement and evidenced-based interventions. RESULTS: The aggregate CLABSI rate for Nationwide Children's Hospital-associated Neonatal Services decreased from 6.0 CLABSI per 1000 catheter days to 1.43 CLABSI per 1000 catheter days in less than 2 years and has remained in control at 0.68 per 1000 catheter days for over 5 years. Each of 8 nurseries has had a 1 year or more CLABSI-free period, including the neonatal intensive care unit with the largest patient volume, acuity, and central line usage. Aggregate Neonatal Services has experienced 3 CLABSI-free quarters since 2007. Key success factors included: (1) engagement of senior executive leadership; (2) bedside "huddles" among clinical and epidemiology staffs conducted within 72 hours after a positive blood culture; (3) implementation of chlorhexidine antisepsis and the use of chlorhexidine-impregnated catheter site discs; and (4) and establishment of a dedicated team for percutaneously inserted central catheter insertion to serve units in which central lines are placed less frequently. CONCLUSIONS: Using the model for improvement and evidenced-based interventions, this QI project has been associated with reduction in the CLABSI rate by 89%, and over 430 CLABSIs likely have been avoided.

An internal quality improvement collaborative significantly reduces hospital-wide medication error related adverse drug events.

OBJECTIVE: To reduce the rate of harmful adverse drug events (ADEs) of severity level D-I from a baseline peak of 0.24 ADE/1000 doses to 0.08 ADE/1000 doses. STUDY DESIGN: A hospital-wide, quasi-experimental time series quality improvement (QI) initiative to reduce ADEs was implemented. High-reliability concepts, microsystem-based multidisciplinary teams, and QI science methods were used. ADEs were detected through a combination of voluntary reporting, trigger tool analysis, reversal agent review, and pharmacy interventions. A multidisciplinary ADE Quality Collaborative focused on medication use processes, not on specific classes of medications. Effective interventions included huddles and an ADE prevention bundle. RESULTS: The rate of harmful ADEs initially increased by >65% because of increased error reporting, temporally associated with the implementation of a program focused on high reliability and an improved safety culture. The quarterly rate was 0.17 ADE/1000 dispensed doses in Q1 2010. By the end of Q2 2013, the rate had decreased by 76.5%, to 0.04 ADE/1000 dispensed doses (P < .001). CONCLUSION: Using an internal collaborative model and QI methodologies focused on medication use processes, harmful ADEs were reduced hospital-wide by 76.5%. The concurrent implementation of a high-reliability, safety-focused program was important as well.

A comprehensive patient safety program can significantly reduce preventable harm, associated costs, and hospital mortality.

OBJECTIVE: To evaluate the effectiveness of a hospital-wide initiative to improve patient safety by implementing high-reliability practices as part of a quality improvement (QI) program aimed at reducing all preventable harm. STUDY DESIGN: A hospital wide quasi-experimental time series QI initiative using high-reliability concepts, microsystem-based multidisciplinary teams, and QI science tools to reduce hospital acquired harm was implemented. Extensive error prevention training was provided for all employees. Change concepts were enacted using the Institute for Healthcare Improvement's Model for Improvement. Compliance with change packages was measured. RESULTS: Between 2010 and 2012, the serious safety event rate decreased from 1.15 events to 0.19 event per 10 000 adjusted hospital-days, an 83.3% reduction (P < .001). Preventable harm events decreased by 53%, from a quarterly peak of 150 in the first quarter of 2010 to 71 in the fourth quarter of 2012 (P < .01). Observed hospital mortality decreased from 1.0% to 0.75% (P < .001), although severity-adjusted expected mortality actually increased slightly, and estimated harm-related hospital costs decreased by 22.0%. Hospital-wide safety climate scores increased significantly. CONCLUSION: Substantial reductions in serious safety event rate, preventable harm, hospital mortality, and cost were seen after implementation of our multifaceted approach. Measurable improvements in the safety culture were noted as well.

A diagnostic time-out to improve differential diagnosis in pediatric abdominal pain.

BACKGROUND: Pediatric abdominal pain is challenging to diagnose and often results in unscheduled return visits to the emergency department. External pressures and diagnostic momentum can impair physicians from thoughtful reflection on the differential diagnosis (DDx). We implemented a diagnostic time-out intervention and created a scoring tool to improve the quality and documentation rates of DDx. The specific aim of this quality improvement (QI) project was to increase the frequency of resident and attending physician documentation of DDx in pediatric patients admitted with abdominal pain by 25% over 6 months. METHODS: We reviewed a total of 165 patients admitted to the general pediatrics service at one institution. Sixty-four history and physical (H&P) notes were reviewed during the baseline period, July-December 2017; 101 charts were reviewed post-intervention, January-June 2018. Medical teams were tasked to perform a diagnostic time-out on all patients during the study period. Metrics tracked monthly included percentage of H&Ps with a 'complete' DDx and quality scores (Qs) using our Differential Diagnosis Scoring Rubric. RESULTS: At baseline, 43 (67%) resident notes and 49 (77%) attending notes documented a 'complete' DDx. Post-intervention, 59 (58%) resident notes and 69 (68%) attending notes met this criteria. Mean Qs, pre- to post-intervention, for resident-documented differential diagnoses increased slightly (2.41-2.47, p = 0.73), but attending-documented DDx did not improve (2.85-2.82, p = 0.88). CONCLUSIONS: We demonstrated a marginal improvement in the quality of resident-documented DDx. Expansion of diagnoses considered within a DDx may contribute to higher diagnostic accuracy.

Coming Together to Save Babies: Our Institution's Quality Improvement Collaborative to Improve Infant Safe Sleep Practices.

Many hospitalized infants are not observed in an American Academy of Pediatrics-recommended safe sleep environment, which can translate to unsafe sleep practices at home. We implemented this collaborative to reduce our county's sleep-related death rate by improving infant safe sleep practices in the freestanding children's hospital setting and increasing safe sleep screening and education in our clinics and emergency departments (EDs). METHODS: Physicians from our institution's primary care clinics, EDs, neonatal intensive care units, and general inpatient units created and led multidisciplinary safe sleep teams. Teams have used standardized data tools to collect information on infant patient ages and sleep position and environment, both in the hospital and at home. Based on audit data, teams have implemented multiple Plan-Do-Study-Act cycles during this collaborative. We have calculated changes in safe sleep practices in the hospital and changes in screening and education on safe sleep behaviors over time. RESULTS: Our teams have significantly increased compliance with safe sleep practices in the inpatient and neonatal intensive care unit settings (P < 0.01). We have also increased screening and education on appropriate safe sleep behaviors by ED and primary care providers (P < 0.01). Our county's sleep-related death rate has not significantly decreased during the collaborative. CONCLUSIONS: Our collaborative has increased American Academy of Pediatrics-recommended safe sleep practices in our institution, and we decreased sleep-related deaths in our primary care network. We have created stronger ties to our community partners working to decrease infant mortality rates. More efforts will be needed, both within and outside of our institution, to lower our community's sleep-related death rate.

Pediatric Clinician Comfort Discussing Diagnostic Errors for Improving Patient Safety: A Survey.

INTRODUCTION: Meaningful conversations about diagnostic errors require safety cultures where clinicians are comfortable discussing errors openly. However, clinician comfort discussing diagnostic errors publicly and barriers to these discussions remain unexplored. We compared clinicians' comfort discussing diagnostic errors to other medical errors and identified barriers to open discussion. METHODS: Pediatric clinicians at 4 hospitals were surveyed between May and June 2018. The survey assessed respondents' comfort discussing medical errors (with varying degrees of system versus individual clinician responsibility) during morbidity and mortality conferences and privately with peers. Respondents reported the most significant barriers to discussing diagnostic errors publicly. Poststratification weighting accounted for nonresponse bias; the Benjamini-Hochberg adjustment was applied to control for false discovery (significance set at P < 0.018). RESULTS: Clinicians (n = 838; response rate 22.6%) were significantly less comfortable discussing all error types during morbidity and mortality conferences than privately (P < 0.004) and significantly less comfortable discussing diagnostic errors compared with other medical errors (P < 0.018). Comfort did not differ by clinician type or years in practice; clinicians at one institution were significantly less comfortable discussing diagnostic errors compared with peers at other institutions. The most frequently cited barriers to discussing diagnostic errors publicly included feeling like a bad clinician, loss of reputation, and peer judgment of knowledge base and decision-making. CONCLUSIONS: Clinicians are more uncomfortable discussing diagnostic errors than other types of medical errors. The most frequent barriers involve the public perception of clinical performance. Addressing this aspect of safety culture may improve clinician participation in efforts to reduce harm from diagnostic errors.

STEPP IN: Working Together to Keep Infants Warm in the Perioperative Period.

OBJECTIVES: Reduce postoperative hypothermia by up to 50% over a 12-month period in children's hospital NICUs and identify specific clinical practices that impact success. METHODS: Literature review, expert opinion, and benchmarking were used to develop clinical practice recommendations for maintaining perioperative euthermia that included the following: established euthermia before transport to the operating room (OR), standardized practice for maintaining euthermia on transport to and from the OR, and standardized practice to prevent intraoperative heat loss. Process measures were focused on maintaining euthermia during these time points. The outcome measure was the proportion of patients with postoperative hypothermia (temperature ≤36°C within 30 minutes of a return to the NICU or at the completion of a procedure in the NICU). Balancing measures were the proportion of patients with postoperative temperature >38°C or the presence of thermal burns. Multivariable logistic regression was used to identify key practices that improved outcome. RESULTS: Postoperative hypothermia decreased by 48%, from a baseline of 20.3% (January 2011 to September 2013) to 10.5% by June 2015. Strategies associated with decreased hypothermia include >90% compliance with patient euthermia (36.1-37.9°C) at times of OR arrival (odds ratio: 0.58; 95% confidence interval [CI]: 0.43-0.79; P < .001) and OR departure (odds ratio: 0.0.73; 95% CI: 0.56-0.95; P = .017) and prewarming the OR ambient temperature to >74°F (odds ratio: 0.78; 95% CI: 0.62-0.999; P = .05). Hyperthermia increased from a baseline of 1.1% to 2.2% during the project. No thermal burns were reported. CONCLUSIONS: Reducing postoperative hypothermia is possible. Key practices include prewarming the OR and compliance with strategies to maintain euthermia at select time points throughout the perioperative period.

Progress (?) Toward Reducing Pediatric Readmissions.

Many children's hospitals are actively working to reduce readmissions to improve care and avoid financial penalties. We sought to determine if pediatric readmission rates have changed over time. We used data from 66 hospitals in the Inpatient Essentials Database including index hospitalizations from January, 2010 through June, 2016. Seven-day all cause (AC) and potentially preventable readmission (PPR) rates were calculated using 3M PPR software. Total and condition-specific quarterly AC and PPR rates were generated for each hospital and in aggregate. We included 4.52 million hospitalizations across all study years. Readmission rates did not vary over the study period. The median seven-day PPR rate across all quarters was 2.5% (range 2.1%-2.5%); the median seven-day AC rate across all quarters was 5.1% (range 4.3%-5.3%). Readmission rates for individual conditions fluctuated. Despite significant national efforts to reduce pediatric readmissions, both AC and PPR readmission rates have remained unchanged over six years.

The Safety Stand-down: A Technique for Improving and Sustaining Hand Hygiene Compliance Among Health Care Personnel.

OBJECTIVES: Hand hygiene (HH) is critical to prevent health care-acquired infections. However, compliance by health care workers remains between 30% and 70% at most institutions. Most efforts to improve compliance have proven ineffective. The objective of this study was to determine whether a safety stand-down can improve HH compliance. METHODS: We adapted and borrowed from the military an approach known as a stand-down. A mandatory Hand-Hygiene Leadership Safety Summit was called for all hospital leaders-physicians and nonphysicians. Four days later, a hospital-wide 15-minute-long safety stand-down occurred, during which all nonessential activity was suspended and action plans to improve HH compliance were discussed. All medical sections and hospital departments were required to submit written action plans. After the stand-down, HH compliance monitoring was increased, and noncompliers were required to speak to senior hospital administration. RESULTS: Compliance increased from less than 65% to greater than 95% (P < 0.001) and has been sustained for 3½ years. CONCLUSIONS: A health care safety stand-down can be an effective method to rapidly change and sustain culture change regarding HH in the inpatient hospital setting.

Safety II Behavior in a Pediatric Intensive Care Unit.

: media-1vid110.1542/5763093009001PEDS-VA_2018-0018Video Abstract BACKGROUND AND OBJECTIVE: Safety I error elimination concepts are focused on retrospectively investigating what went wrong and redesigning system processes and individual behaviors to prevent similar future occurrences. The Safety II approach recognizes complex systems and unpredictable circumstances, mandating flexibility and resilience within systems and among individuals to avoid errors. We hypothesized that in our high-complexity and high-risk PICU, Safety II concepts contribute to its remarkably low adverse drug event rate. Our goal was to identify how this microsystem enacts Safety II. METHODS: We conducted multidisciplinary focus group sessions with PICU members using nonleading, open-ended questions to elicit free-form conversation regarding how safety occurs in their unit. Qualitatively analyzing transcripts identified system characteristics and behaviors potentially contributing to low adverse drug event rates in PICU. Researchers skilled in qualitative methodologies coded transcripts to identify key domains and common themes. RESULTS: Four domains were identified: (1) individual characteristics, (2) relationships and interactions, (3) structural and environmental characteristics, and (4) innovation approaches. The themes identified in the first 3 domains are typically associated with Safety I and adapted for Safety II. Themes in the last domain (innovation approaches) were specific to Safety II, which were layered on Safety I to improve results under unusual situations. CONCLUSIONS: Safety II behavior in this unit was based on strong Safety I behaviors adapted to the Safety II environment plus innovation behaviors specific to Safety II situations. We believe these behaviors can be taught and learned. We intend to spread these concepts throughout the organization.

Using Length of Stay to Understand Patient Flow for Pediatric Inpatients.

OBJECTIVES: Develop and test a new metric to assess meaningful variability in inpatient flow. METHODS: Using the pediatric administrative dataset, Pediatric Health Information System, that quantifies the length of stay (LOS) in hours, all inpatient and observation encounters with 21 common diagnoses were included from the calendar year 2013 in 38 pediatric hospitals. Two mutually exclusive composite groups based on diagnosis and presence or absence of an ICU hospitalization termed Acute Care Composite (ACC) and ICU Composite (ICUC), respectively, were created. These composites consisted of an observed-to-expected (O/E) LOS as well as an excess LOS percentage (ie, the percent of day beyond expected). Seven-day all-cause risk-adjusted rehospitalizations was used as a balancing measure. The combination of the ACC, the ICUC, and the rehospitalization measures forms this new metric. RESULTS: The diagnosis groups in the ACC and the ICUC included 113,768 and 38,400 hospitalizations, respectively. The ACC had a median O/E LOS of 1.0, a median excess LOS percentage of 23.9% and a rehospitalization rate of 1.7%. The ICUC had a median O/E LOS of 1.1, a median excess LOS percentage of 32.3%, and rehospitalization rate of 4.9%. There was no relationship of O/E LOS and rehospitalization for either ACC or ICUC. CONCLUSIONS: This metric shows variation among hospitals and could allow a pediatric hospital to assess the performance of inpatient flow.

A Quality Improvement Project to Decrease Human Milk Errors in the NICU.

BACKGROUD AND OBJECTIVE: Ensuring safe human milk in the NICU is a complex process with many potential points for error, of which one of the most serious is administration of the wrong milk to the wrong infant. Our objective was to describe a quality improvement initiative that was associated with a reduction in human milk administration errors identified over a 6-year period in a typical, large NICU setting. METHODS: We employed a quasi-experimental time series quality improvement initiative by using tools from the model for improvement, Six Sigma methodology, and evidence-based interventions. Scanned errors were identified from the human milk barcode medication administration system. Scanned errors of interest were wrong-milk-to-wrong-infant, expired-milk, or preparation errors. The scanned error rate and the impact of additional improvement interventions from 2009 to 2015 were monitored by using statistical process control charts. RESULTS: From 2009 to 2015, the total number of errors scanned declined from 97.1 per 1000 bottles to 10.8. Specifically, the number of expired milk error scans declined from 84.0 per 1000 bottles to 8.9. The number of preparation errors (4.8 per 1000 bottles to 2.2) and wrong-milk-to-wrong-infant errors scanned (8.3 per 1000 bottles to 2.0) also declined. CONCLUSIONS: By reducing the number of errors scanned, the number of opportunities for errors also decreased. Interventions that likely had the greatest impact on reducing the number of scanned errors included installation of bedside (versus centralized) scanners and dedicated staff to handle milk.

Children's Hospital Characteristics and Readmission Metrics.

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.

Asthma Care Quality Measures at Children's Hospitals and Asthma-Related Outcomes.

OBJECTIVE: The Joint Commission requires hospitals to report on Children's Asthma Care (CAC) measures, although their relationship to outcomes is not clear. The objective of this study was to (1) characterize metrics hospitals use for asthma, and to (2) determine if the number and type of metrics used is associated with readmission rates. STUDY DESIGN: Pediatric hospital quality leaders were asked to identify asthma metrics utilized by their respective organizations via an online survey. "Use" of metrics was defined as periodically measuring data regardless of performance. Linear regression was used to determine if the number or domain of metrics grouped by topic used was associated with 7-, 30-, and 90-day same-cause readmission rates obtained from the Pediatric Health Information System (PHIS). RESULTS: Among respondents (n = 27, 62.7%), the mean number of metrics used was 20.5 (SD = 9.1, range = 4-38). There was no association between the number or domain type of metrics used and 7-, 30-, or 90-day readmission rates. CONCLUSIONS: Despite using a wide variety of asthma metrics, there was no association between use of any metric or domain of metrics and asthma-related readmission rates. Additional work should identify asthma process measures that are associated with meaningful outcomes.

Initial assessment and management of the newborn.

This article summarizes the initial assessment of normal newborns and describes a few of the common variations that may occur. These variations require a pediatric provider to reassure anxious new parents and provide follow-up communication with the subsequent primary care provider.