Interdisciplinary ICU cardiac arrest debriefing improves survival outcomes*.

OBJECTIVE: In-hospital cardiac arrest is an important public health problem. High-quality resuscitation improves survival but is difficult to achieve. Our objective is to evaluate the effectiveness of a novel, interdisciplinary, postevent quantitative debriefing program to improve survival outcomes after in-hospital pediatric chest compression events. DESIGN, SETTING, AND PATIENTS: Single-center prospective interventional study of children who received chest compressions between December 2008 and June 2012 in the ICU. INTERVENTIONS: Structured, quantitative, audiovisual, interdisciplinary debriefing of chest compression events with front-line providers. MEASUREMENTS AND MAIN RESULTS: Primary outcome was survival to hospital discharge. Secondary outcomes included survival of event (return of spontaneous circulation for ≥ 20 min) and favorable neurologic outcome. Primary resuscitation quality outcome was a composite variable, termed "excellent cardiopulmonary resuscitation," prospectively defined as a chest compression depth ≥ 38 mm, rate ≥ 100/min, ≤ 10% of chest compressions with leaning, and a chest compression fraction > 90% during a given 30-second epoch. Quantitative data were available only for patients who are 8 years old or older. There were 119 chest compression events (60 control and 59 interventional). The intervention was associated with a trend toward improved survival to hospital discharge on both univariate analysis (52% vs 33%, p = 0.054) and after controlling for confounders (adjusted odds ratio, 2.5; 95% CI, 0.91-6.8; p = 0.075), and it significantly increased survival with favorable neurologic outcome on both univariate (50% vs 29%, p = 0.036) and multivariable analyses (adjusted odds ratio, 2.75; 95% CI, 1.01-7.5; p = 0.047). Cardiopulmonary resuscitation epochs for patients who are 8 years old or older during the debriefing period were 5.6 times more likely to meet targets of excellent cardiopulmonary resuscitation (95% CI, 2.9-10.6; p < 0.01). CONCLUSION: Implementation of an interdisciplinary, postevent quantitative debriefing program was significantly associated with improved cardiopulmonary resuscitation quality and survival with favorable neurologic outcome.

A Markov model to analyze cost-effectiveness of screening for severe combined immunodeficiency (SCID).

OBJECTIVE: To evaluate the cost-effectiveness of universal neonatal screening for T cell lymphocytopenia in enhancing quality of life and life expectancy for children with severe combined immunodeficiency (SCID). METHODS: Decision trees were created and analyzed to estimate the cost, life years, and quality adjusted life years (QALYs) across a population when universal screening for lack of T cells is used to detect SCID, as implemented in five states, compared to detection based on recognizing symptoms and signs of disease. Terminal values of each tree limb were derived through Markov models simulating the natural history of three cohorts: unaffected subjects; those diagnosed with SCID as neonates (early diagnosis); and those diagnosed after becoming symptomatic and arousing clinical suspicion (late diagnosis). Models considered the costs of screening and of care including hematopoietic cell transplantation for affected individuals. Key decision variables were derived from the literature and from a survey of families with children affected by SCID, which was used to describe the clinical history and healthcare utilization for affected subjects. Sensitivity analyses were conducted to explore the influence of these decision variables. RESULTS: Over a 70-year time horizon, the average cost per infant was $8.89 without screening and $14.33 with universal screening. The model predicted that universal screening in the U.S. would cost approximately $22.4 million/year with a gain of 880 life years and 802 QALYs. Sensitivity analyses showed that screening test specificity and disease incidence were critical driving forces affecting the incremental cost-effectiveness ratio (ICER). Assuming a SCID incidence of 1/75,000 births and test specificity and sensitivity each at 0.99, screening remained cost-effective up to a maximum cost of $15 per infant screened. CONCLUSION: At our current estimated screening cost of $4.22/infant, universal screening for SCID would be a cost effective means to improve quality and duration of life for children with SCID.

An IDEA: Safety Training to Improve Critical Thinking by Individuals and Teams.

Errors in thinking contribute to harm, delays in diagnosis, incorrect treatments, or failures to recognize clinical changes. Models of cognition are useful in understanding error occurrence and avoidance. Intra-team conflict can represent failures in joint cognitive processing. The authors developed training focused on recognizing and managing cognitive bias and resolving conflicts. The program provides context and introduces models of cognition, concepts of bias, team cognition, conflict resolution, and 2 tools. "IDEA" incorporates 4 de-biasing strategies: Identify assumptions; Don't assume correctness; Explore expectations; Assess alternatives. "TLA" presents strategies for resolving conflicts: Tell your thoughts; Listen actively, and Ask questions. A total of 4941 care providers participated in training using didactic presentations, group discussion, and simulation. Learners rated training effectiveness at 4.68 on a scale of 1 to 5 (5 as optimum) and perceived improvement in recognizing or managing errors. Nonphysician caregivers reported greatest improvement. Training to improve critical thinking is feasible, well received, and effective.

A randomized outpatient trial of a decision-support information technology tool.

BACKGROUND: Decision-support information technology is often adopted to improve clinical decision making, but it is rarely rigorously evaluated. Congress mandated the evaluation of Problem-Knowledge Couplers (PKC Corp, Burlington, Vt), a decision-support tool proposed for the Department of Defense's new health information network. METHODS: This was a patient-level randomized trial conducted at 2 military practices. A total of 936 patients were allocated to the intervention group and 966 to usual care. Couplers were applied before routine ambulatory clinic visits. The primary outcome was quality of care, which was assessed based on the total percentage of any of 24 health care quality process measures (opportunities to provide evidence-based care) that were fulfilled. Secondary outcomes included medical resources consumed within 60 days of enrollment and patient and provider satisfaction. RESULTS: There were 4639 health care opportunities (2374 in the Coupler group and 2265 in the usual-care group), with no difference in the proportion of opportunities fulfilled (33.9% vs 30.7%; P = .12). Although there was a modest improvement in performance on screening/preventive measures, it was offset by poorer performance on some measures of acute care. Coupler patients used more laboratory and pharmacy resources than usual-care patients (logarithmic mean difference, 71 dollars). No difference in patient satisfaction was observed between groups, and provider satisfaction was mixed. CONCLUSION: This study provides no strong evidence to support the utility of this decision-support tool, but it demonstrates the value of rigorous evaluation of decision-support information technology.

Development of a Quality Improvement Bundle to Reduce Tracheal Intubation-Associated Events in Pediatric ICUs.

Advanced airway management in the pediatric intensive care unit (PICU) is hazardous, with associated adverse outcomes. This report describes a methodology to develop a bundle to improve quality and safety of tracheal intubations. A prospective observational cohort study was performed with expert consensus opinion of 1715 children undergoing tracheal intubation at 15 PICUs. Baseline process and outcomes data in tracheal intubation were collected using the National Emergency Airway Registry for Children reporting system. Univariate analysis was performed to identify risk factors associated with adverse tracheal intubation-associated events. A multidisciplinary quality improvement committee was formed. Workflow analysis of tracheal intubation and pilot testing were performed to develop the Airway Bundle Checklist with 4 parts: (1) risk factor assessment, (2) plan generation, (3) preprocedure time-out to ensure that providers, equipment, and plans are prepared, (4) postprocedure huddle to identify improvement opportunities. The Airway Bundle Checklist developed may lead to improvement in airway management.

Developing the Capacity for Rapid-Cycle Improvement at a Large Freestanding Children's Hospital.

BACKGROUND: To develop the capacity for rapid-cycle improvement at the unit level, a large freestanding children's hospital designated 2 inpatient units with normal patient loads and workforce as pilot "Innovation Units" where frontline staff was trained to lead rigorous improvement portfolios. METHODS: Frontline staff received improvement training, and interdisciplinary teams brainstormed ideas for tests of change. Ideas were prioritized using an impact-effort evaluation and an assessment of how they aligned with high-level goals. A template for each test summarized the following: the opportunity for improvement, the test being conducted, dates for the tests, driver diagrams, metrics to measure effects, baseline data, results, findings, and next steps. Successful interventions were implemented and disseminated to other units. RESULTS: Multidisciplinary staff generated 150 improvement ideas and Innovation Units collectively ran >40 plan-do-study-act cycles. Of the 10 distinct improvement projects, elements of all 10 were deemed "successful" and fully implemented on the unit, and elements from 8 were spread to other units. More than 3 years later, elements of all of the successful improvements are still in practice in some form on the units, and each unit has tested >20 additional improvement ideas, using multiple plan-do-study-act cycles to refine them. CONCLUSIONS: The Innovation Unit model successfully engaged frontline staff in improvement work and established a sustainable system and framework for managing rigorous improvement portfolios at the unit level. Other hospitals and health care delivery settings may find our quality improvement approach helpful, especially because it is rooted in the microsystem of care delivery.

A tool to measure shared clinical understanding following handoffs to help evaluate handoff quality.

BACKGROUND: Information exchanged during handoffs contributes importantly to a team's shared mental model. There is no established instrument to measure shared clinical understanding as a marker of handoff quality. OBJECTIVE: To study the reliability, validity, and feasibility of the pediatric cardiology Patient Knowledge Assessment Tool (PKAT), a novel instrument designed to measure shared clinical understanding for pediatric cardiac intensive care unit patients. DESIGN: To estimate reliability, 10 providers watched 9 videotaped simulated handoffs and then completed a PKAT for each scenario. To estimate construct validity, we studied 90 handoffs in situ by having 4 providers caring for an individual patient each complete a PKAT following handoff. Construct validity was assessed by testing the effects of provider preparation and patient complexity on agreement levels. SETTING: A 24-bed pediatric cardiac intensive care unit in a freestanding children's hospital. RESULTS: Video simulation results demonstrated score reliability. Average inter-rater agreement by item ranged from 0.71 to 1.00. During in situ testing, agreement by item ranged from 0.41 to 0.87 (median 0.77). Construct validity for some items was supported by lower agreement rates for patients with increased length of stay and increased complexity. DISCUSSION: Results suggest that the PKAT has high inter-rater reliability and can detect differences in understanding between handoff senders and receivers for routine and complex patients. Additionally, the PKAT is feasible for use in a real-time clinical environment. The PKAT or similar instruments could be used to study effects of handoff improvement efforts in inpatient settings.

Persistent hyperglycemia in critically ill children.

OBJECTIVES: To determine the prevalence and prognostic significance of hyperglycemia among critically ill nondiabetic children. STUDY DESIGN: We performed a retrospective cohort study using point-of-care blood glucose measurements, hospital administrative databases, and a computerized information system; 942 nondiabetic patients admitted to our Pediatric Intensive Care Unit (PICU) from October 2000 to September 2003 were included. The prevalence of hyperglycemia was based on initial PICU glucose measurement, highest value within 24 hours, and highest value measured during PICU stay up to 10 days after the first measurement. Primary outcome was in-hospital death with PICU lengths of stay (LOS) as secondary outcome. RESULTS: Through the use of three cutoff values (120 mg/dL, 150 mg/dL, and 200 mg/dL), the prevalence of hyperglycemia was 16.7% to 75.0%. The relative risk (RR) for dying increased for maximum glucose within 24 hours >150 mg/dL (RR, 2.50; 95% confidence interval (CI), 1.26 to 4.93) and highest glucose within 10 days >120 mg/dL (RR, 5.68; 95% CI, 1.38 to 23.47). LOS was decreased for admission glucose >120 mg/dL and 150 mg/dL but increased for all threshold values for maximum glucose within 10 days. CONCLUSIONS: Hyperglycemia occurs frequently among critically ill nondiabetic children and is correlated with a greater in-hospital mortality rate and longer LOS.

Decision analysis and clinical uncertainty.

Decision analysis is a tool to aid decision-making in the face of uncertainty. Typically, clinical decision-making involves the selection of one or more therapeutic alternatives when the outcome of that decision cannot fully be known at the time the decision must be made. Uncertainty derives from imperfections in diagnostic testing, uncertainty about the natural history of disease, the random nature of iatrogenic complications, and the impact of patient-specific factors or comorbid conditions. Decision analysis seeks to optimize the expected outcome of a decision, incorporating the probabilistic nature of this uncertainty. Decision analysis is applied here to a common problem in intensive care units-the treatment of suspected ventilator-associated pneumonia. Recent applications of decision analysis in the pediatric literature are also used to illustrate the scope and limitations of this tool in clinical practice.