Reliability and Validity of the Checklist for Early Recognition and Treatment of Acute Illness and Injury as a Charting Tool in the Medical Intensive Care Unit.

BACKGROUND: Resuscitation of critically ill patients is complex and potentially prone to diagnostic errors and therapeutic harm. The Checklist for early recognition and treatment of acute illness and injury (CERTAIN) is an electronic tool that aims to provide decision-support, charting, and prompting for standardization. This study sought to evaluate the validity and reliability of CERTAIN in a real-time Intensive Care Unit (ICU). MATERIALS AND METHODS: This was a prospective pilot study in the medical ICU of a tertiary care medical center. A total of thirty patient encounters over 2 months period were charted independently by two CERTAIN investigators. The inter-observer recordings and comparison to the electronic medical records (EMR) were used to evaluate reliability and validity, respectively. The primary outcome was reliability and validity measured using Cohen's Kappa statistic. Secondary outcomes included time to completion, user satisfaction, and learning curve. RESULTS: A total of 30 patients with a median age of 59 (42-78) years and median acute physiology and chronic health evaluation III score of 38 (23-50) were included in this study. Inter-observer agreement was very good (κ = 0.79) in this study and agreement between CERTAIN and the EMR was good (κ = 0.5). CERTAIN charting was completed in real-time that was 121 (92-150) min before completion of EMR charting. The subjective learning curve was 3.5 patients without differences in providers with different levels of training. CONCLUSIONS: CERTAIN provides a reliable and valid method to evaluate resuscitation events in real time. CERTAIN provided the ability to complete data in real-time.

Evaluating implementation of a rapid response team: considering alternative outcome measures.

OBJECTIVE: Determine the prolonged effect of rapid response team (RRT) implementation on failure to rescue (FTR). DESIGN: Longitudinal study of institutional performance with control charts and Bayesian change point (BCP) analysis. SETTING: Two academic hospitals in Midwest, USA. PARTICIPANTS: All inpatients discharged between 1 September 2005 and 31 December 2010. INTERVENTION: Implementation of an RRT serving the Mayo Clinic Rochester system was phased in for all inpatient services beginning in September 2006 and was completed in February 2008. MAIN OUTCOME MEASURE: Modified version of the AHRQ FTR measure, which identifies hospital mortalities among medical and surgical patients with specified in-hospital complications. RESULTS: A decrease in FTR, as well as an increase in the unplanned ICU transfer rate, occurred in the second-year post-RRT implementation coinciding with an increase in RRT calls per month. No significant decreases were observed pre- and post-implementation for cardiopulmonary resuscitation events or overall mortality. A significant decrease in mortality among non-ICU discharges was identified by control charts, although this finding was not detected by BCP or pre- vs. post-analyses. CONCLUSIONS: Reduction in the FTR rate was associated with a substantial increase in the number of RRT calls. Effects of RRT may not be seen until RRT calls reach a sufficient threshold. FTR rate may be better at capturing the effect of RRT implementation than the rate of cardiac arrests. These results support prior reports that short-term studies may underestimate the impact of RRT systems, and support the need for ongoing monitoring and assessment of outcomes to facilitate best resource utilization.

The impact of rapid response team on outcome of patients transferred from the ward to the ICU: a single-center study.

OBJECTIVES: To determine the impact of rapid response team implementation on the outcome of patients transferred from the regular hospital ward and nonward locations to the ICU. DESIGN: Retrospective before-after cohort study. SETTING: The study was performed in two ICUs, one surgical and one medical, of a tertiary medical center. PATIENTS: We included 4,890 patients transferred from the hospital ward to two ICUs and 15,855 patients admitted from nonward locations. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Data on each patient were abstracted from the Acute Physiology and Chronic Health Evaluation III and the administrative hospital and rapid response team databases. The study period was divided into pre-rapid response team and rapid response team. A 24/7 critical care consult service and cardiac arrest teams were available for ward patient care during both periods. A total of 20,745 patients were admitted to the two study ICUs, of whom 4,890 were from the ward (2,466 and 2,424 during the pre-rapid response team and rapid response team periods, respectively). The first ICU day severity of illness was higher for the pre-rapid response team period. A multiple logistic regression model that included predicted mortality as a covariate suggested that availability of rapid response team was associated with an increased risk of hospital death in patients transferred to the ICU from the regular ward, odds ratio (95% CI) of 1.273 (1.089-1.490). For the nonward patients, the availability of rapid response team was similarly associated with increased risk of death. The ICU length of stay was shorter during the rapid response team period both in ward transfer and in nonward transfer patients. CONCLUSIONS: Rapid response team implementation is associated with increased numbers of ICU admissions and rates, and transfer from the ward of less severely ill patients. However, rapid response team implementation did not improve the severity-of-illness-adjusted outcome of patients transferred from the ward. Implementation of rapid response team in an institution with a 24/7 ICU consult service may have unforeseen costs without obvious benefit. Our findings highlight that institutions should evaluate the impact of rapid response team on patient outcome and make modifications specific to their practices.

Risk factors and outcomes of postoperative emergency response team activation: a matched case-control study.

OBJECTIVE: To determine patient and perioperative characteristics associated with unexpected postoperative clinical deterioration as determined for the need of a postoperative emergency response team (ERT) activation. DESIGN: Retrospective case-control study. SETTING: Tertiary academic hospital. PARTICIPANTS: Patients who underwent general anaesthesia discharged to regular wards between 1 January 2013 and 31 December 2015 and required ERT activation within 48 postoperative hours. Controls were matched based on age, sex and procedure. MAIN OUTCOME MEASURES: Baseline patient and perioperative characteristics were abstracted to develop a multiple logistic regression model to assess for potential associations for increased risk for postoperative ERT. RESULTS: Among 105 345 patients, 797 had ERT calls, with a rate of 7.6 (95% CI, 7.1-8.1) calls per 1000 anaesthetics (0.76%). Multiple logistic regression analysis showed the following risk factors for postoperative ERT: cardiovascular disease (odds ratio [OR], 1.61; 95% CI, 1.18-2.18), neurological disease (OR, 1.57; 95% CI, 1.11-2.22), preoperative gabapentin (OR, 1.60; 95% CI, 1.17-2.20), longer surgical duration (OR, 1.06; 95% CI, 1.02-1.11, per 30 min), emergency procedure (OR, 1.54; 95% CI, 1.09-2.18), and intraoperative use of colloids (OR, 1.50; 95% CI, 1.17-1.92). Compared with control participants, ERT patients had a longer hospital stay, a higher rate of admissions to critical care (55.5%), increased postoperative complications, and a higher 30-day mortality rate (OR, 3.36; 95% CI, 1.73-6.54). CONCLUSION: We identified several patient and procedural characteristics associated with increased likelihood of postoperative ERT activation. ERT intervention is a marker for increased rates of postoperative complications and death.

Expanding the Presence of Primary Services at Rapid Response Team Activations: A Quality Improvement Project.

Rapid response teams (RRTs) were implemented to provide critical care services for deteriorating patients outside of intensive care units. To date, research on RRT has been conflicting, with some studies showing significant mortality benefit and reduction in cardiac arrest events and others showing no benefit. However, studies have consistently showed improved outcomes when RRTs work closely with primary services. Baseline data analysis at our institution found that primary services were present only on 50% of RRT activations. This quality improvement project aimed to improve the presence of primary services during RRT activations by 25%. With a survey, the main barrier that prevented primary services to be present was identified as the primary services' failure to recognize them as a crucial part of the RRT. Education tools and in-person sessions were implemented reinforcing the importance of primary services presence during RRT activations. The intervention leads to increasing presence of primary services at RRT activations, transfers to higher level of care, and changes in code status. However, there was no difference in hospital or intensive care unit length of stay or in survival.

Takotsubo cardiomyopathy following cholecystectomy: a poorly recognized cause of acute reversible left ventricular dysfunction.

Takotsubo cardiomyopathy is a distinct form of reversible ventricular dysfunction that usually affects elderly women. The clinical presentation includes a wide range of symptoms, and recovery is usually complete. We report a case of Takotsubo cardiomyopathy associated with cholecystectomy.

The role of the primary care team in the rapid response system.

PURPOSE: The purpose of the study is to evaluate the impact of primary service involvement on rapid response team (RRT) evaluations. MATERIALS AND METHODS: The study is a combination of retrospective chart review and prospective survey-based evaluation. Data included when and where the activations occurred and the patient's code status, primary service, and ultimate disposition. These data were correlated with survey data from each event. A prospective survey evaluated the primary team's involvement in decision making and the overall subjective quality of the interaction with primary service through a visual analog scale. RESULTS: We analyzed 4408 RRTs retrospectively and an additional 135 prospectively. The primary team's involvement by telephone or in person was associated with significantly more transfers to higher care levels in retrospective (P < .01) and prospective data sets. Code status was addressed more frequently in primary team involvement, with more frequent changes seen in the retrospective analysis (P = .01). Subjective ratings of communication by the RRT leader were significantly higher when the primary service was involved (P < .001). CONCLUSIONS: Active primary team involvement influences RRT activation processes of care. The RRT role should be an adjunct to, but not a substitute for, an engaged and present primary care team.

Widely used track and trigger scores: are they ready for automation in practice?

INTRODUCTION: Early Warning Scores (EWS) are widely used for early recognition of patient deterioration. Automated alarm/alerts have been recommended as a desirable characteristic for detection systems of patient deterioration. We undertook a comparative analysis of performance characteristics of common EWS methods to assess how they would function if automated. METHODS: We evaluated the most widely used EWS systems (MEWS, SEWS, GMEWS, Worthing, ViEWS and NEWS) and the Rapid Response Team (RRT) activation criteria in use in our institution. We compared their ability to predict the composite outcome of Resuscitation call, RRS activation or unplanned transfer to the ICU, in a time-dependent manner (3, 8, 12, 24 and 36 h after the observation) by determining the sensitivity, specificity and positive predictive values (PPV). We used a large vital signs database (6,948,689 unique time points) from 34,898 unique consecutive hospitalized patients. RESULTS: PPVs ranged from less than 0.01 (Worthing, 3 h) to 0.21 (GMEWS, 36 h). Sensitivity ranged from 0.07 (GMEWS, 3 h) to 0.75 (ViEWS, 36 h). Used in an automated fashion, these would correspond to 1040-215,020 false positive alerts per year. CONCLUSIONS: When the evaluation is performed in a time-sensitive manner, the most widely used weighted track-and-trigger scores do not offer good predictive capabilities for use as criteria for an automated alarm system. For the implementation of an automated alarm system, better criteria need to be developed and validated before implementation.