Variability of Characteristics and Outcomes Following Cardiopulmonary Resuscitation Events in Diverse ICU Settings in a Single, Tertiary Care Children's Hospital
PEDIATRIC CRITICAL CARE MEDICINE
2014; 15 (3): E128-E141
Use of electronic medical record-enhanced checklist and electronic dashboard to decrease CLABSIs.
2014; 133 (3): e738-46
Use of Electronic Medical Record-Enhanced Checklist and Electronic Dashboard to Decrease CLABSIs
2014; 133 (3): E738-E746
Improving Code Team Performance and Survival Outcomes: Implementation of Pediatric Resuscitation Team Training
CRITICAL CARE MEDICINE
2014; 42 (2): 243-251
We hypothesized that a checklist enhanced by the electronic medical record and a unit-wide dashboard would improve compliance with an evidence-based, pediatric-specific catheter care bundle and decrease central line-associated bloodstream infections (CLABSI).We performed a cohort study with historical controls that included all patients with a central venous catheter in a 24-bed PICU in an academic children's hospital. Postintervention CLABSI rates, compliance with bundle elements, and staff perceptions of communication were evaluated and compared with preintervention data.CLABSI rates decreased from 2.6 CLABSIs per 1000 line-days before intervention to 0.7 CLABSIs per 1000 line-days after intervention. Analysis of specific bundle elements demonstrated increased daily documentation of line necessity from 30% to 73% (P < .001), increased compliance with dressing changes from 87% to 90% (P = .003), increased compliance with cap changes from 87% to 93% (P < .001), increased compliance with port needle changes from 69% to 95% (P < .001), but decreased compliance with insertion bundle documentation from 67% to 62% (P = .001). Changes in the care plan were made during review of the electronic medical record checklist on 39% of patient rounds episodes.Use of an electronic medical record-enhanced CLABSI prevention checklist coupled with a unit-wide real-time display of adherence was associated with increased compliance with evidence-based catheter care and sustained decrease in CLABSI rates. These data underscore the potential for computerized interventions to promote compliance with proven best practices and prevent patient harm.
View details for DOI 10.1542/peds.2013-2249
View details for PubMedID 24567021
Embedding Time-Limited Laboratory Orders Within Computerized Provider Order Entry Reduces Laboratory Utilization
PEDIATRIC CRITICAL CARE MEDICINE
2013; 14 (4): 413-419
To determine whether implementation of Composite Resuscitation Team Training is associated with improvement in survival to discharge and code team performance after pediatric in-hospital cardiopulmonary arrest.We conducted a prospective observational study with historical controls at a 302-bed, quaternary care, academic children's hospital. Inpatients who experienced cardiopulmonary arrest between January 1, 2006, and December 31, 2009, were included in the control group (123 patients experienced 183 cardiopulmonary arrests) and between July 1, 2010, and June 30, 2011, were included in the intervention group (46 patients experienced 65 cardiopulmonary arrests).Code team members were introduced to Composite Resuscitation Team Training and continued training throughout the intervention period (January 1, 2010-June 30, 2011). Training was integrated via in situ code blue simulations (n = 16). Simulations were videotaped and participants were debriefed for education and process improvement. Primary outcome was survival to discharge after cardiopulmonary arrest. Secondary outcome measures were 1) change in neurologic morbidity from admission to discharge, measured by Pediatric Cerebral Performance Category, and 2) code team adherence to resuscitation Standard Operating Performance variables.The intervention group was more likely to survive than the control group (60.9% vs 40.3%) (unadjusted odds ratio, 2.3 [95% CI, 1.15-4.60]) and had no significant change in neurologic morbidity (mean change in Pediatric Cerebral Performance Category 0.11 vs 0.27; p = 0.37). Code teams exposed to Composite Resuscitation Team Training were more likely than control group to adhere to resuscitation Standard Operating Performance (35.9% vs 20.8%) (unadjusted odds ratio, 2.14 [95% CI, 1.15-3.99]). After adjusting for adherence to Standard Operating Performance, survival remained improved in the intervention period (odds ratio, 2.13 [95% CI, 1.06-4.36]).With implementation of Composite Resuscitation Team Training, survival to discharge after pediatric cardiopulmonary arrest improved, as did code team performance. Demonstration of improved survival after adjusting for code team adherence to resuscitation standards suggests that this may be a valuable resuscitation training program. Further studies are needed to determine causality and generalizability.
View details for DOI 10.1097/CCM.0b013e3182a6439d
View details for Web of Science ID 000329863400019
Computerized Physician Order Entry With Decision Support Decreases Blood Transfusions in Children
2011; 127 (5): E1112-E1119
: To test the hypothesis that limits on repeating laboratory studies within computerized provider order entry decrease laboratory utilization.: Cohort study with historical controls.: A 20-bed PICU in a freestanding, quaternary care, academic children's hospital.: This study included all patients admitted to the pediatric ICU between January 1, 2008, and December 31, 2009. A total of 818 discharges were evaluated prior to the intervention (January 1, 2008, through December 31, 2008) and 1,021 patient discharges were evaluated postintervention (January 1, 2009, through December 31, 2009).: A computerized provider order entry rule limited the ability to schedule repeating complete blood cell counts, chemistry, and coagulation studies to a 24-hour interval in the future. The time limit was designed to ensure daily evaluation of the utility of each test.: Initial analysis with t tests showed significant decreases in tests per patient day in the postintervention period (complete blood cell counts: 1.5 ± 0.1 to 1.0 ± 0.1; chemistry: 10.6 ± 0.9 to 6.9 ± 0.6; coagulation: 3.3 ± 0.4 to 1.7 ± 0.2; p < 0.01, all variables vs. preintervention period). Even after incorporating a trend toward decreasing laboratory utilization in the preintervention period into our regression analysis, the intervention decreased complete blood cell counts (p = 0.007), chemistry (p = 0.049), and coagulation (p = 0.001) tests per patient day.: Limits on laboratory orders within the context of computerized provider order entry decreased laboratory utilization without adverse affects on mortality or length of stay. Broader application of this strategy might decrease costs, the incidence of iatrogenic anemia, and catheter-associated bloodstream infections.
View details for DOI 10.1097/PCC.0b013e318272010c
View details for Web of Science ID 000318680000016
View details for PubMedID 23439456
Timely provision of evidence-based recommendations through computerized physician order entry with clinical decision support may improve use of red blood cell transfusions (RBCTs).We performed a cohort study with historical controls including inpatients admitted between February 1, 2008, and January 31, 2010. A clinical decision-support alert for RBCTs was constructed by using current evidence. RBCT orders resulted in assessment of the patient's medical record with prescriber notification if parameters were not within recommended ranges. Primary end points included the average pretransfusion hemoglobin level and the rate of RBCTs per patient-day.In total, 3293 control discharges and 3492 study discharges were evaluated. The mean (SD) control pretransfusion hemoglobin level in the PICU was 9.83 (2.63) g/dL (95% confidence interval [CI]: 9.65-10.01) compared with the study value of 8.75 (2.05) g/dL (95% CI: 8.59-8.90) (P < .0001). The wards' control value was 7.56 (0.93) g/dL (95% CI: 7.47-7.65), the study value was 7.14 (1.01) g/dL (95% CI: 6.99-7.28) (P < .0001). The control PICU rate of RBCTs per patient-day was 0.20 (0.11) (95% CI: 0.13-0.27), the study rate was 0.14 (0.04) (95% CI: 0.11-0.17) (P = .12). The PICU's control rate was 0.033 (0.01) (95% CI: 0.02-0.04), and the study rate was 0.017 (0.007) (95% CI: 0.01-0.02) (P < .0001). There was no difference in mortality rates across all cohorts.Implementation of clinical decision-support alerts was associated with a decrease in RBCTs, which suggests improved adoption of evidence-based recommendations. This strategy might be widely applied to promote timely adoption of scientific evidence.
View details for DOI 10.1542/peds.2010-3252
View details for Web of Science ID 000290097800002
View details for PubMedID 21502229