Using the Operating Room Black Box to Assess Surgical Team Member Adaptation Under Uncertainty: An Observational Study.

OBJECTIVE: Identify how surgical team members uniquely contribute to teamwork and adapt their teamwork skills during instances of uncertainty. BACKGROUND: The importance of surgical teamwork in preventing patient harm is well documented. Yet, little is known about how key roles (nurse, anesthesiologist, surgeon, and medical trainee) uniquely contribute to teamwork during instances of uncertainty, particularly when adapting to and rectifying an intraoperative adverse event (IAE). METHODS: Audiovisual data of 23 laparoscopic cases from a large community teaching hospital were prospectively captured using OR Black Box. Human factors researchers retrospectively coded videos for teamwork skills (backup behavior, coordination, psychological safety, situation assessment, team decision-making, and leadership) by team role under 2 conditions of uncertainty: associated with an IAE versus no IAE. Surgeons identified IAEs. RESULTS: In all, 1015 instances of teamwork skills were observed. Nurses adapted to IAEs by expressing more backup behavior skills (5.3× increase; 13.9 instances/hour during an IAE vs 2.2 instances/hour when no IAE) while surgeons and medical trainees expressed more psychological safety skills (surgeons: 3.6× increase; 30.0 instances/hour vs 6.6 instances/hour and trainees: 6.6× increase; 31.2 instances/hour vs 4.1 instances/hour). All roles expressed fewer situation assessment skills during an IAE versus no IAE. CONCLUSIONS: OR Black Box enabled the assessment of critically important details about how team members uniquely contribute during instances of uncertainty. Some teamwork skills were amplified, while others dampened when dealing with IAEs. The knowledge of how each role contributes to teamwork and adapts to IAEs should be used to inform the design of tailored interventions to strengthen interprofessional teamwork.

Effects of Unit Census and Patient Acuity Levels on Discussions During Patient Rounds.

OBJECTIVES: PICU teams adapt the duration of patient rounding discussions to accommodate varying contextual factors, such as unit census and patient acuity. Although studies establish that shorter discussions can lead to the omission of critical patient information, little is known about how teams adapt their rounding discussions about essential patient topics (i.e., introduction/history, acute clinical status, care plans) in response to changing contexts. To fill this gap, we examined how census and patient acuity impact time spent discussing essential topics during individual patient encounters. DESIGN: Observational study. SETTING: PICU at a university-affiliated children's hospital, Toronto, ON, Canada. SUBJECTS: Interprofessional morning rounding teams. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We observed 165 individual patient encounters during morning rounds over 10 weeks. Regardless of census or patient acuity, the duration of patient introductions/history did not change. When census was high versus low, acute clinical status discussions significantly decreased for both low acuity patients (00 min:50 s high census; 01 min:39 s low census; -49.5% change) and high acuity patients (01 min:10 s high census; 02 min:02 s low census; -42.6% change). Durations of care plan discussions significantly reduced as a function of census (01 min:19 s high census; 02 min:52 s low census; -54.7% change) for low but not high acuity patients. CONCLUSIONS: Under high census and patient acuity levels, rounding teams disproportionately shorten time spent discussing essential patient topics. Of note, while teams preserved time to plan the care for acute patients, they cut care plan discussions of low acuity patients. This study provides needed detail regarding how rounding teams adapt their discussions of essential topics and establishes a foundation for consideration of varying contextual factors in the design of rounding guidelines. As ICUs are challenged with increasing census and patient acuity levels, it is critical that we turn our attention to these contextual aspects and understand how these adaptations impact clinical outcomes to address them.

Human Factors Analysis of Latent Safety Threats in a Pediatric Critical Care Unit.

OBJECTIVES: To identify unique latent safety threats spanning routine pediatric critical care activities and categorize them according to their underlying work system factors (i.e., "environment, organization, person, task, tools/technology") and associated clinician behavior (i.e., "legal": expected compliance with or "illegal-normal": deviation from and "illegal-illegal": disregard for standard policies and protocols). DESIGN: A prospective observational study with contextual inquiry of clinical activities over a 5-month period. SETTING: Two PICUs (i.e., medical-surgical ICU and cardiac ICU) in an urban free-standing quaternary children's hospital. SUBJECTS: Attending physicians and trainees, nurse practitioners, registered nurses, respiratory therapists, dieticians, pharmacists, and patient services assistants were observed. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Conducted 188 hours of observations to prospectively identify unique latent safety threats. Qualitative observational notes were analyzed by human factors experts using a modified framework analysis methodology to summarize latent safety threats and categorize them based on associated clinical activity, predominant work system factor, and clinician behavior. Two hundred twenty-six unique latent safety threats were observed. The latent safety threats were categorized into 13 clinical activities and attributed to work system factors as follows: "organization" (n = 83; 37%), "task" (n = 52; 23%), "tools/technology" (n = 40; 18%), "person" (n = 32; 14%), and "environment" (n = 19; 8%). Twenty-three percent of latent safety threats were identified when staff complied with policies and protocols (i.e., "legal" behavior) and 77% when staff deviated from policies and protocols (i.e., "illegal-normal" behavior). There was no "illegal-illegal" behavior observed. CONCLUSIONS: Latent safety threats span various pediatric critical care activities and are attributable to many underlying work system factors. Latent safety threats are present both when staff comply with and deviate from policies and protocols, suggesting that simply reinforcing compliance with existing policies and protocols, the common default intervention imposed by healthcare organizations, will be insufficient to mitigate safety threats. Rather, interventions must be designed to address the underlying work system threats. This human factors informed framework analysis of observational data is a useful approach to identifying and understanding latent safety threats and can be used in other clinical work systems.

Assessing the electronic Bedside Paediatric Early Warning System: A simulation study on decision-making and usability.

BACKGROUND: The Bedside Paediatric Early Warning System (BedsidePEWS) is a clinical decision support tool designed to augment clinician expertise, objectively identify children at risk for clinical deterioration, and standardize and prioritize care to improve outcomes in community settings. Although the paper-based BedsidePEWS documentation record has been shown to improve clinicians' perception of their ability to detect deterioration and follow care recommendations, research is needed to asses this impact empirically. Furthermore, as hospitals progressively move toward electronic clinical systems, knowledge regarding the impact of BedsidePEWS' novel electronic interface on clinicians' performance and user experience is required. OBJECTIVES: The primary objectives of this study were (1) to compare adherence to evidence-based care recommendations using a) electronic health record software, b) paper BedsidePEWS, and c) a novel electronic BedsidePEWS interface, and (2) to describe end-users' experiences of usability and opportunities for improvement of both paper and electronic BedsidePEWS. METHODS: Paediatric nurses participated in a repeated measures simulation study. Participants assessed simulated patients, documented patient data, and responded to a series of questions regarding follow-up care for each patient. Three patient types (i.e., stable, mild deterioration, severe deterioration) were assessed in each of three intervention conditions (i.e., electronic health record, paper BedsidePEWS, electronic BedsidePEWS). Following simulation scenarios, participants provided comments regarding the usability of the paper and electronic tools. RESULTS: Participants made 12.7% and 18.0% more appropriate care decisions with paper and electronic BedsidePEWS, respectively, than with the electronic health record intervention (p < 0.001). Accurate BedsidePEWS severity of illness score calculation was related to better adherence to evidence-based care recommendations (65%), compared to inaccurate calculation (55%), and electronic BedsidePEWS was associated with 15.7% fewer calculation errors than paper (p < 0.005). Electronic BedsidePEWS demonstrated usability benefits over its paper predecessor, including automatic score calculation and data plotting, and the potential to eliminate double charting, and participants expressed a preference for electronic BedsidePEWS in all aspects of the debrief questionnaire (p < 0.001). CONCLUSIONS: BedsidePEWS in both paper and electronic formats significantly improved participants' ability to detect deterioration and follow care recommendations compared to electronic health record software. Furthermore, results suggest that electronic BedsidePEWS would afford improved patient care in excess of the paper-based original and further contribute to the standardization, prioritization, and improvement of care in community settings.

Untangling Infusion Confusion: A Comparative Evaluation of Interventions in a Simulated Intensive Care Setting.

OBJECTIVES: Assess interventions' impact on preventing IV infusion identification and disconnection mix-ups. DESIGN: Experimental study with repeated measures design. SETTING: High fidelity simulated adult ICU. SUBJECTS: Forty critical care nurses. INTERVENTIONS: Participants had to correctly identify infusions and disconnect an infusion in four different conditions: baseline (current practice); line labels/organizers; smart pump; and light-linking system. MEASUREMENTS AND MAIN RESULTS: Participants identified infusions with significantly fewer errors when using line labels/organizers (0; 0%) than in the baseline (12; 7.7%) and smart pump conditions (10; 6.4%) (p < 0.01). The light-linking system did not significantly affect identification errors (5; 3.2%) compared with the other conditions. Participants were significantly faster identifying infusions when using line labels/organizers (0:31) than in the baseline (1:20), smart pump (1:29), and light-linking (1:22) conditions (p < 0.001). When disconnecting an infusion, there was no significant difference in errors between conditions, but participants were significantly slower when using the smart pump than all other conditions (p < 0.001). CONCLUSIONS: The results suggest that line labels/organizers may increase infusion identification accuracy and efficiency.

Convergent parallel mixed-methods study to understand information exchange in paediatric critical care and inform the development of safety-enhancing interventions: a protocol study.

INTRODUCTION: The effective exchange of clinical information is essential to high-quality patient care, especially in the critical care unit (CCU) where communication failures can have profoundly negative impacts on critically ill patients with limited physiological capacity to tolerate errors. A comprehensive systematic characterisation of information exchange within a CCU is needed to inform the development and implementation of effective, contextually appropriate interventions. The objective of this study is to characterise when, where and how healthcare providers exchange clinical information in the Department of Critical Care Medicine at The Hospital for Sick Children and explore the factors that currently facilitate or counter established best rounding practices therein. METHODS AND ANALYSIS: A convergent parallel mixed-methods study design will be used to collect, analyse and interpret quantitative and qualitative data. Naturalistic observations of rounds and relevant peripheral information exchange activities will be conducted to collect time-stamped event data on workflow and communication patterns (time-motion data) and field notes. To complement observational data, the subjective perspectives of healthcare providers and patient families will be gathered through surveys and interviews. Departmental metrics will be collected to further contextualise the environment. Time-motion data will be analysed quantitatively; patterns in field note, survey and interview results will be examined based on themes identified deductively from literature and/or inductively based on the data collected (thematic analysis). The proactive triangulation of these systemic, procedural and contextual data will inform the design and implementation of efficacious interventions in future work. ETHICS AND DISSEMINATION: Institutional research ethics approval has been acquired (REB #1000059173). Results will be published in peer-reviewed journals and presented at relevant conferences. Findings will be presented to stakeholders including interdisciplinary staff, departmental management and leadership and families to highlight the strengths and weaknesses of the exchange of clinical information in its current state and develop user-centred recommendations for improvement.

Study protocol for a framework analysis using video review to identify latent safety threats: trauma resuscitation using in situ simulation team training (TRUST).

INTRODUCTION: Errors in trauma resuscitation are common and have been attributed to breakdowns in the coordination of system elements (eg, tools/technology, physical environment and layout, individual skills/knowledge, team interaction). These breakdowns are triggered by unique circumstances and may go unrecognised by trauma team members or hospital administrators; they can be described as latent safety threats (LSTs). Retrospective approaches to identifying LSTs (ie, after they occur) are likely to be incomplete and prone to bias. To date, prospective studies have not used video review as the primary mechanism to identify any and all LSTs in trauma resuscitation. METHODS AND ANALYSIS: A series of 12 unannounced in situ simulations (ISS) will be conducted to prospectively identify LSTs at a level 1 Canadian trauma centre (over 800 dedicated trauma team activations annually). 4 scenarios have already been designed as part of this protocol based on 5 recurring themes found in the hospital's mortality and morbidity process. The actual trauma team will be activated to participate in the study. Each simulation will be audio/video recorded from 4 different camera angles and transcribed to conduct a framework analysis. Video reviewers will code the videos deductively based on a priori themes of LSTs identified from the literature, and/or inductively based on the events occurring in the simulation. LSTs will be prioritised to target interventions in future work. ETHICS AND DISSEMINATION: Institutional research ethics approval has been acquired (SMH REB #15-046). Results will be published in peer-reviewed journals and presented at relevant conferences. Findings will also be presented to key institutional stakeholders to inform mitigation strategies for improved patient safety.

Multiple Intravenous Infusions Phase 2b: Laboratory Study.

BACKGROUND: Administering multiple intravenous (IV) infusions to a single patient via infusion pump occurs routinely in health care, but there has been little empirical research examining the risks associated with this practice or ways to mitigate those risks. OBJECTIVES: To identify the risks associated with multiple IV infusions and assess the impact of interventions on nurses' ability to safely administer them. DATA SOURCES AND REVIEW METHODS: Forty nurses completed infusion-related tasks in a simulated adult intensive care unit, with and without interventions (i.e., repeated-measures design). RESULTS: Errors were observed in completing common tasks associated with the administration of multiple IV infusions, including the following (all values from baseline, which was current practice): setting up and programming multiple primary continuous IV infusions (e.g., 11.7% programming errors)identifying IV infusions (e.g., 7.7% line-tracing errors)managing dead volume (e.g., 96.0% flush rate errors following IV syringe dose administration)setting up a secondary intermittent IV infusion (e.g., 11.3% secondary clamp errors)administering an IV pump bolus (e.g., 11.5% programming errors)Of 10 interventions tested, 6 (1 practice, 3 technology, and 2 educational) significantly decreased or even eliminated errors compared to baseline. LIMITATIONS: The simulation of an adult intensive care unit at 1 hospital limited the ability to generalize results. The study results were representative of nurses who received training in the interventions but had little experience using them. The longitudinal effects of the interventions were not studied. CONCLUSIONS: Administering and managing multiple IV infusions is a complex and risk-prone activity. However, when a patient requires multiple IV infusions, targeted interventions can reduce identified risks. A combination of standardized practice, technology improvements, and targeted education is required.