Classification and team response to nonroutine events occurring during pediatric trauma resuscitation

Quality assessment in initial paediatric trauma care: Systematic review from prehospital care to the paediatric intensive care unit

BACKGROUND

Trauma is the most common cause of death and disability in the paediatric population. There are a huge number of variables involved in the care they receive from health care professionals.

AIM

The aim of this study was to review the available evidence of initial paediatric trauma care throughout the health care process with a view to create quality indicators (QIs).

STUDY DESIGN

A systematic review was performed from Cochrane Library, Medline, Scopus and SciELO between 2010 and 2020. Studies and guidelines that examined quality or suggested QI were included. Indicators were classified by health care setting, Donabedian's model, risk of bias and the quality of the publication with the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) assessment.

RESULTS

The initial search included 686 articles, which were reduced to 22, with 15 primary and 7 secondary research articles. The snowball sampling technique was used to add a further seven guidelines and two articles. From these, 534 possible indicators were extracted, summarizing them into 39 and grouping the prehospital care indicators as structure (N = 5), process (N = 12) and outcome (N = 3) indicators and the hospital care indicators as structure (N = 4), process (N = 10) and outcome (N = 6) indicators. Most of the QIs have been extracted from US studies. They are multidisciplinary and in some cases are based on an adaptation of the QIs of adult trauma care.

CONCLUSIONS

There was a clear gap and large variability between the indicators, as well as low-quality evidence. Future studies will validate indicators using the Delphi method.

RELEVANCE TO CLINICAL PRACTICE

Design a QI framework that may be used by the health system throughout the process. Indicators framework will get nurses, to assess the quality of health care, detect deficient areas and implement improvement measures.

Video Review of Simulated Pediatric Cardiac Arrest to Identify Errors/Latent Safety Threats: A Mixed Methods Study

INTRODUCTION

Outcomes from pediatric in-hospital cardiac arrest depend on the treatment provided as well as resuscitation team performance. Our study aimed to identify errors occurring in this clinical context and develop an analytical framework to classify them. This analytical framework provided a better understanding of team performance, leading to improved patient outcomes.

METHODS

We analyzed 25 video recordings of pediatric cardiac arrest simulations from the pediatric intensive care unit at the Alberta Children's Hospital. We conducted a qualitative-dominant crossover mixed method analysis to produce a broad understanding of the etiology of errors. Using qualitative framework analysis, we identified and qualitatively described errors and transformed the data coded into quantitative data to determine the frequency of errors.

RESULTS

We identified 546 errors/error-related actions and behaviors and 25 near misses. The errors were coded into 21 codes that were organized into 5 main themes. Clinical task-related errors accounted for most errors (41.9%), followed by planning, and executing task-related errors (22.3%), distraction-related errors (18.7%), communication-related errors (10.1%), and knowledge/training-related errors (7%).

CONCLUSIONS

This novel analytical framework can robustly identify, classify, and describe the root causes of errors within this complex clinical context. Future validation of this classification of errors and error-related actions and behaviors on larger samples of resuscitations from various contexts will allow for a better understanding of how errors can be mitigated to improve patient outcomes.

Analysis of shared cognitive tasks in the application of non-invasive ventilation to patients with COPD exacerbation

Interprofessional teamwork plays a key role in the uptake of evidence-based interventions, such as noninvasive ventilation (NIV) for patients with exacerbated Chronic Obstructive Pulmonary Disease (COPD). We aimed to identify the shared cognitive tasks in interprofessional teams using NIV for patients with COPD exacerbation. We used a cognitive task analysis approach (CTA) to engage nurses, rapid response team members, respiratory therapists, and physicians involved in the use of NIV to treat patients with COPD exacerbation. Clinicians participated in a semi-structured interview (n = 21) that elicited cognitions needed to treat COPD exacerbation. Three shared cognitive tasks were identified: Complete a thorough assessment, Formulate a care plan, and Continuously monitor patient status. Findings attest to the importance of having access to up-to-date information and expertise necessary to make accurate clinical inferences for patient assessment. Shared understanding of the formulated care plan among all members of the care team was important to its execution. Continuous monitoring was crucial; however, this cognitive task relied on patient assessment skills and ongoing collaboration within the clinical care team. Application of NIV for patients with COPD exacerbation may require enhancing collaboration through nontechnical skills and interprofessional training.

Defining the Epidemiology of Safety Risks in Neonatal Intensive Care Unit Patients Requiring Surgery

OBJECTIVE

The aim of the study was to determine the incidence, type, severity, preventability, and contributing factors of nonroutine events (NREs)-events perceived by care providers or skilled observers as a deviations from optimal care based on the clinical situation-in the perioperative (i.e., preoperative, operative, and postoperative) care of surgical neonates in the neonatal intensive care unit and operating room.

METHODS

A prospective observational study of noncardiac surgical neonates, who received preoperative and postoperative neonatal intensive care unit care, was conducted at an urban academic children's hospital between November 1, 2016, and March 31, 2018. One hundred twenty-nine surgical cases in 109 neonates were observed. The incidence and description of NREs were collected via structured researcher-administered survey tool of involved clinicians. Primary measurements included clinicians' ratings of NRE severity and contributory factors and trained research assistants' ratings of preventability.

RESULTS

One or more NREs were reported in 101 (78%) of 129 observed cases for 247 total NREs. Clinicians reported 2 (2) (median, interquartile range) NREs per NRE case with a maximum severity of 3 (1) (possible range = 1-5). Trained research assistants rated 47% of NREs as preventable and 11% as severe and preventable. The relative risks for National Surgical Quality Improvement Program - pediatric major morbidity and 30-day mortality were 1.17 (95% confidence interval = 0.92-1.48) and 1.04 (95% confidence interval = 1.00-1.08) in NRE cases versus non-NRE cases.

CONCLUSIONS

The incidence of NREs in neonatal perioperative care at an academic children's hospital was high and of variable severity with a myriad of contributory factors.

Designing Interactive Alerts to Improve Recognition of Critical Events in Medical Emergencies

Vital sign values during medical emergencies can help clinicians recognize and treat patients with life-threatening injuries. Identifying abnormal vital signs, however, is frequently delayed and the values may not be documented at all. In this mixed-methods study, we designed and evaluated a two-phased visual alert approach for a digital checklist in trauma resuscitation that informs users about undocumented vital signs. Using an interrupted time series analysis, we compared documentation in the periods before (two years) and after (four months) the introduction of the alerts. We found that introducing alerts led to an increase in documentation throughout the post-intervention period, with clinicians documenting vital signs earlier. Interviews with users and video review of cases showed that alerts were ineffective when clinicians engaged less with the checklist or set the checklist down to perform another activity. From these findings, we discuss approaches to designing alerts for dynamic team-based settings.

Classification strategies for non-routine events occurring in high-risk patient care settings: A scoping review

INTRODUCTION

Non-routine events (NREs) are atypical or unusual occurrences in a pre-defined process. Although some NREs in high-risk clinical settings have no adverse effects on patient care, others can potentially cause serious patient harm. A unified strategy for identifying and describing NREs in these domains will facilitate the comparison of results between studies.

METHODS

We conducted a literature search in PubMed, CINAHL, and EMBASE to identify studies related to NREs in high-risk domains and evaluated the methods used for event observation and description. We applied The Joint Commission on Accreditation of Healthcare Organization (JCAHO) taxonomy (cause, impact, domain, type, prevention, and mitigation) to the descriptions of NREs from the literature.

RESULTS

We selected 25 articles that met inclusion criteria for review. Real-time documentation of NREs was more common than a retrospective video review. Thirteen studies used domain experts as observers and seven studies validated observations with interrater reliability. Using the JCAHO taxonomy, "cause" was the most frequently applied classification method, followed by "impact," "type," "domain," and "prevention and mitigation."

CONCLUSIONS

NREs are frequent in high-risk medical settings. Strengths identified in several studies included the use of multiple observers with domain expertise and validation of the event ascertainment approach using interrater reliability. By applying the JCAHO taxonomy to the current literature, we provide an example of a structured approach that can be used for future analyses of NREs.

Assessment of Non-Routine Events and Significant Physiological Disturbances during Emergency Department Evaluation after Pediatric Head Trauma

Outcomes following pediatric traumatic brain injury (TBI) are dependent on initial injury severity and prevention of secondary injury. Hypoxia, hypotension, and hyperventilation following TBI are associated with increased mortality. The purpose of this study was to determine the association of non-routine events (NREs) during the initial resuscitation phase with these physiological disturbances. We conducted a video review of pediatric trauma resuscitations of patients with suspected TBI and Glasgow Coma Scale (GCS) scores <13. NREs were rated as "momentary" if task progression was delayed by <1 min and "moderate" if delayed by >1 min. Vital sign monitor data were used to identify periods of significant physiological disturbances. We calculated the association between the rate of overall and moderate NREs per case and the proportion of cases with abnormal vital signs using multi-variate linear regression, controlling for GCS score and need for intubation. Among 26 resuscitations, 604 NREs were identified with a median of 23 (interquartile range [IQR] 17-27.8, range 5-44) per case. Moderate delay NREs occurred in 19 resuscitations (n = 32, median 1 NRE/resuscitation, IQR 0.3-1, range 0-5). Oxygen desaturation and respiratory depression were associated with a greater rate of moderate NREs (p = 0.008, p < 0.001, respectively). We observed no association between duration of hypotension, desaturation, and respiratory depression and overall NRE rate. NREs are common in the initial resuscitation of children with moderate to severe TBI. Episodes of hypoxia and respiratory depression are associated with NREs that cause a moderate delay in task progression. Conformance with resuscitation guidelines is needed to prevent physiological events associated with adverse outcomes following pediatric TBI.

Assessment of Nonroutine Events During Intubation After Pediatric Trauma

BACKGROUND

Intubation in the early postinjury phase can be a high-risk procedure associated with an increased risk of mortality when delayed. Nonroutine events (NREs) are workflow disruptions that can be latent safety threats in high-risk settings and may contribute to adverse outcomes.

MATERIALS AND METHODS

We reviewed videos of intubations of injured children (age<17 y old) in the emergency department occurring between 2014 and 2018 to identify NREs occurring between the decision to intubate and successful intubation ("critical window").

RESULTS

Among 34 children requiring intubation, the indications included GCS≤8 (n = 20, 58.8%), cardiac arrest (n = 6, 17.6%), airway protection (n = 5, 14.7%), and respiratory failure (n = 3, 8.8%). The median duration of the "critical window" was 7.5 min (range 1.4-27.5 min), with a median of six NREs per case in this period (range 2-30). Most NREs (n = 159, 61.9%) delayed workflow, with 31 (12.1%) of these delays each lasting more than one minute. Eighty-seven NREs (33.9%) had a potential for harm but did not lead to direct patient harm. The most common NREs directly related to the intubation process were poor positioning for intubation (n = 23, 8.9%) and difficulty passing the endotracheal tube (n = 5, 1.9%), with most being attributed to the anesthesiologist performing the intubation (n = 51, range 0-7).

CONCLUSIONS

Workflow disruptions related to nonroutine events were frequent during pediatric trauma intubation and were often associated with delays and potential for patient harm. Interventions for improving the efficiency and timeliness of the critical window should focus on adherence to intubation protocol and improving communication and teamwork related to tasks in this phase.

Video Recordings to Analyze Preventable Management Errors in Pediatric Resuscitation Bay

OBJECTIVE

In treating patients of different ages and diseases in the pediatric resuscitation bay, management errors are common. This study aimed to analyze the adherence to advanced trauma life support and pediatric advanced life support guidelines and identify management errors in the pediatric resuscitation bay by using video recordings.

METHODS

Video recording of all patients admitted to the pediatric resuscitation bay at University Children's Hospital Zurich during a 13-month period was performed. Treatment adherence to advanced trauma life support guidelines and pediatric advanced life support guidelines and errors per patient were identified.

RESULTS

During the study period, 128 patients were recorded (65.6% with surgical, 34.4% with medical diseases). The most common causes for admission were traumatic brain injury (21.1%), multiple trauma (20.3%), and seizures (14.8%). There was a statistically significant correlation between accurate handover from emergency medical service to hospital physicians and adherence to airway, breathing, circulation, and disability sequence (correlation coefficient [CC], 0.205; P = 0.021), existence of a defined team leader and adherence to airway, breathing, circulation, and disability sequence (CC, 0.856; P < 0.001), and accurate hand over and existence of a defined team leader (CC, 0.186; P = 0.037). Unexpected errors were revealed. Cervical spine examination/stabilization was omitted in 40% of admitted surgical patients, even in 20% of patients with an injury of spine/limbs.

CONCLUSIONS

Video recording is a useful tool to evaluate patient management in the pediatric resuscitation bay. Analyzing errors of missing the adherence to the guidelines helps to pay attention and focus on specific items to improve patient care.

Association Between Prearrival Notification Time and Advanced Trauma Life Support Protocol Adherence

BACKGROUND

Prearrival notification of injured patients facilitates preparation of personnel, equipment, and other resources needed for trauma evaluation and treatment. Our purpose was to determine the impact of prearrival notification time on adherence to Advanced Trauma Life Support (ATLS) protocols.

MATERIALS AND METHODS

Pediatric trauma activations of admitted patients were analyzed by video review to determine activities performed before and after patient arrival. Using an expert model based on ATLS, fitness scores were calculated that represented model adherence, ranging from "0" (noncompliant) to "100" (completely compliant). Multivariate regression was used to determine the association between fitness values of the evaluation phases and the length of prearrival notification time and injury profiles.

RESULTS

Ninety-four patients met study criteria. The average overall fitness was 89.0 ± 7.3, with similar fitness values being observed for the primary and secondary surveys (91.5 ± 13.4 and 88.6 ± 7.7, respectively). Prearrival notification time ranged from 67.3 min before to 4.8 min after patient arrival. Longer prearrival notification time was associated with improved completion of prearrival tasks, overall resuscitation performance, and secondary survey performance. The positive association of overall and secondary survey fitness with notification time was no longer observed when notification time was <5 min and <10 min, respectively. Notification time was correlated with a higher percentage of required team members when the patient arrived (Pearson correlation coefficient 0.46, P < 0.001).

CONCLUSIONS

Prearrival notification time has a significant impact on adherence to ATLS protocol. Strategies for improving notification time or improving performance when adequate notification cannot be achieved are needed.

The importance of non-technical performance for teams managing postpartum haemorrhage: video review of 99 obstetric teams

OBJECTIVE

Little is known about how teams' non-technical performance influences clinical performance in obstetric emergencies such as postpartum haemorrhage.

DESIGN

Video review - observational study.

SETTING

A university hospital (5000 deliveries) and a regional hospital (2000 deliveries) in Denmark.

POPULATION

Obstetric teams managing real-life postpartum haemorrhage.

METHODS

We systematically assessed 99 video recordings of obstetric teams managing real-life major postpartum haemorrhage. Exposure was the non-technical score (AOTP); outcomes were the clinical performance score (TeamOBS) and the delayed transfer to the operating theatre (defined as blood loss >1500 ml in the delivery room).

RESULTS

Teams with an excellent non-technical score performed significantly better than teams with a poor non-technical score: 83.7 versus 0.3% chance of a high clinical performance score (P < 0.001), 0.2 versus 80% risk of a low clinical performance score (P < 0.001), and 3.5 versus 31.7% risk of delayed transfer to the operating theatre (P = 0.008). The results remained robust when adjusting for potential confounders such as bleeding velocity, aetiology, time of day, team size, and hospital. The specific non-technical skills associated with high clinical performance were vigilance, role assignment, problem-solving, management of disruptive behavior, and leadership. Communication with the patient and closing the loop were of minor importance. All performance assessments showed good reliability: the intraclass correlation was 0.97 (95% CI 0.96-0.98) for the non-technical score and 0.84 (95% CI 0.76-0.89) for the clinical performance score.

CONCLUSION

Video review offers a new method and new perspectives for research in obstetric teams to identify how teams become effective and safe; the skills identified in this study can be included in future obstetric training programmes.

TWEETABLE ABSTRACT

Non-technical performance is important for teams managing postpartum haemorrhage; video review of 99 obstetric teams.

Comparison of Pediatric Cardiopulmonary Resuscitation Quality in Classic Cardiopulmonary Resuscitation and Extracorporeal Cardiopulmonary Resuscitation Events Using Video Review

OBJECTIVES

To assess differences in cardiopulmonary resuscitation quality in classic cardiopulmonary resuscitation versus extracorporeal cardiopulmonary resuscitation events using video recordings of actual pediatric cardiac arrest events.

DESIGN

Single-center, prospective, observational trial.

SETTING

Tertiary-care pediatric teaching hospital, cardiac ICU.

PATIENTS

All patients admitted to the pediatric cardiac ICU with cardiopulmonary resuscitation events lasting greater than 2 minutes captured on video.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Seventeen events comprising 264.5 minutes of cardiopulmonary resuscitation were included: 11 classic cardiopulmonary resuscitation events (87.5 min) and six extracorporeal cardiopulmonary resuscitation events (177 min). Events were divided into 30-second epochs, and cardiopulmonary resuscitation quality markers were assessed using video and telemetry data review of goal endpoints: end-tidal carbon dioxide greater than or equal to 15 mm Hg, diastolic blood pressure greater than or equal to 30 mm Hg, chest compression fraction greater than 80% per epoch, and chest compression rate between 100 and 120 chest compression per minute. Additionally, each chest compression pause (hands-off event) was recorded and timed. When compared with extracorporeal cardiopulmonary resuscitation, classic cardiopulmonary resuscitation epochs were more likely to have end-tidal carbon dioxide greater than or equal to 15 mm Hg (56% vs 6.2%; p = 0.01) and provide chest compression between 100 and 120 times per minute (112 vs 134 chest compression per minute; p < 0.001). No difference was found between classic cardiopulmonary resuscitation and extracorporeal cardiopulmonary resuscitation in compliance with diastolic blood pressure greater than or equal to 30 mm Hg (38% classic cardiopulmonary resuscitation vs 30% extracorporeal cardiopulmonary resuscitation). There were 135 hands-off events: 52 in classic cardiopulmonary resuscitation and 83 in extracorporeal cardiopulmonary resuscitation (p = 0.12).

CONCLUSIONS

Classic cardiopulmonary resuscitation had superior adherence to end-tidal carbon dioxide goals and chest compression rate guidelines than extracorporeal cardiopulmonary resuscitation.

An approach to automatic process deviation detection in a time-critical clinical process

MOTIVATION

Prior research has shown that minor errors and deviations from recommended guidelines in complex medical processes can accumulate to increase the likelihood that a major error will go uncorrected and lead to an adverse outcome. Real-time automatic and accurate detection of process deviations may help medical teams better prevent or mitigate the effect of errors and improve patient outcomes. Our goal was to develop an approach for automatic detection of errors and process deviations in trauma resuscitation.

METHODS

Using video review, we coded activity traces of 95 pediatric trauma resuscitations collected in a Level 1 trauma center over two years (2014-2016). Twenty-four randomly selected activity traces were compared with a knowledge-driven model of trauma resuscitation workflow using a phase-based conformance checking algorithm for detecting true and false deviations (alarms). An analysis of false alarms identified three types of causes: (1) model gaps or discrepancies between the model ("work as imagined") and actual practice ("work as done"), (2) errors in activity traces coding, and (3) algorithm limitations. We repaired the system to remove model gaps, reduce coding errors, and address algorithm limitations. The repaired system was first evaluated with another 20 traces and then applied to the entire dataset of 95 traces.

RESULTS

During the training, we detected 573 process deviations in 24 activity traces that include 1099 activities. Among these deviations, only 27% represented true deviations and the remaining 73% were false alarms. This initial deviation detection accuracy was only 66.6%, with a F1-score of 0.42. Detection accuracy of the repaired system increased to 95.2% (0.85 F1-score) during system validation and to 98.5% (0.96 F1-score) during testing. After deploying the repaired deviation detection system to all 95 activity traces, we detected 1060 process deviations in 5659 activities (11.2 deviations per resuscitation). Among the 5659 activities in these traces, 4893 fit the repaired knowledge-driven workflow model, 294 were errors of omission, 538 were errors of commission, and 228 were scheduling errors.

CONCLUSION

Our approach to automatic deviation detection provides a method for identifying repeated, omitted and out-of-sequence activities that can be included in the design of decision support systems for complex medical processes. Our findings show the importance of assessing detected deviations for repairing a knowledge-driven model that best represents "work as done."

Intention Mining in Medical Process: A Case Study in Trauma Resuscitation

In medical processes such as surgical procedures and trauma resuscitations, medical teams perform treatment activities according to underlying invisible goals or intentions. In this study, we present an approach to uncover these intentions from observed treatment activities. Developed on top of a hierarchical hidden Markov model (H-HMM), our approach can identify multi-level intentions. To accurately infer the H-HMM, we used state splitting method with maximum a posteriori probability (MAP) as the scoring function. We evaluated our approach in both qualitative and quantitative ways, using a case study of the trauma resuscitation process. This dataset includes 123 trauma resuscitation cases collected at a level 1 trauma center. Our results show our intention mining achieved an accuracy of 86.6% in classifying medical teams' intentions. This work is an exploration of unsupervised intention mining of complex real-world medical processes.

Errors in cervical spine immobilization during pediatric trauma evaluation

BACKGROUND

The purpose of this study was to identify factors during trauma evaluation that increase the likelihood of errors in cervical spine immobilization ('lapses').

MATERIALS AND METHODS

Multivariate analysis was used to identify the associations between patient characteristics, event features, and tasks performed in proximity to the head and neck and the occurrence and duration of a lapse in maintaining cervical spine immobilization during 56 pediatric trauma evaluations.

RESULTS

Lapses in cervical spine immobilization occurred in 71.4% of patients (n = 40), with an average of 1.2 ± 1.3 lapses per patient. Head and neck tasks classified as oxygen manipulation occurred an average of 12.2 ± 9.7 times per patient, whereas those related to neck examination and cervical collar manipulation occurred an average of 2.7 ± 1.7 and 2.1 ± 1.2 times per patient, respectively. More oxygen-related tasks were performed among patients who had than those who did not have a lapse (27.3 ± 16.5 versus 11.5 ± 8.0 tasks, P = 0.001). Patients who had cervical collar placement or manipulation had a two-fold higher risk of a lapse than those who did not have these tasks performed (OR 1.92, 95% CI 0.56, 3.28, P = 0.006). More lapses occurred during evaluations on the weekend (P = 0.01), when more tasks related to supplemental oxygen manipulation were performed (P = 0.02) and when more tasks associated with cervical collar management were performed (P < 0.001).

CONCLUSIONS

Errors in cervical spine immobilization were frequently observed during the initial evaluation of injured children. Strategies to reduce these errors should target approaches to head and neck management during the primary and secondary phases of trauma evaluation.

Closed-Loop Communication Improves Task Completion in Pediatric Trauma Resuscitation

BACKGROUND

Pediatric trauma care requires effective and clear communication in a time-sensitive manner amongst a variety of disciplines. Programs such as Crew Resource Management in aviation have been developed to systematically prevent errors. Similarly, teamSTEPPS has been promoted in healthcare with a strong focus on communication. We aim to evaluate the ability of closed-loop communication to improve time-to-task completion in pediatric trauma activations.

METHODS

All pediatric trauma activations from January to September, 2016 at an American College of Surgeons verified level I pediatric trauma center were video recorded and included in the study. Two independent reviewers identified and classified all verbal orders issued by the trauma team leader for order audibility, directed responsibility, check-back, and time-to-task-completion. The impact of pre-notification and level of activation on time-to-task-completion was also evaluated. All analyses were performed using SAS® version 9.4(SAS Institute Inc., Cary, NC).

RESULTS

In total, 89 trauma activation videos were reviewed, with 387 verbal orders identified. Of those, 126(32.6%) were directed, 372(96.1%) audible, and 101(26.1%) closed-loop. On average each order required 3.85 minutes to be completed. There was a significant reduction in time-to-task-completion when closed-loop communication was utilized (p < 0.0001). Orders with closed-loop communication were completed 3.6 times sooner as compared to orders with an open-loop [HR = 3.6 (95% CI: 2.5, 5.3)]. There was not a significant difference in time-to-task-completion with respect to pre-notification by emergency service providers (p < 0.6100). [HR = 1.1 (95% CI: 0.9, 1.3)]. There was also not a significant difference in time-to-task-completion with respect to level of trauma team activation (p < 0.2229). [HR = 1.3 (95% CI: 0.8, 2.1)].

CONCLUSION

While closed-loop communication prevents medical errors, our study highlights the potential to increase the speed and efficiency with which tasks are completed in the setting of pediatric trauma resuscitation. Trauma drills and systems of communication that emphasize the use of closed-loop communication should be incorporated into the training of trauma team leaders.

LEVEL OF EVIDENCE

This is a prospective observational study with intervention level II evidence.

Management Issues in Critically Ill Pediatric Patients with Trauma

The management of critically ill pediatric patients with trauma poses many challenges because of the infrequency and diversity of severe injuries and a paucity of high-level evidence to guide care for these uncommon events. This article discusses recent recommendations for early resuscitation and blood component therapy for hypovolemic pediatric patients with trauma. It also highlights the specific types of injuries that lead to severe injury in children and presents challenges related to their management.

Standardizing the initial resuscitation of the trauma patient with the Primary Assessment Completion Tool using video review

BACKGROUND

Major trauma resuscitations at pediatric trauma centers have an elevated risk for error because of their high acuity and relatively low frequency. The Advanced Trauma Life Support (ATLS) treatment paradigm was established to improve the management of trauma patients during the initial resuscitation phase and has been shown to improve outcomes through a standardized approach. The goal of this quality improvement project was to decrease assessment physician variability and improve the compliance with the ATLS primary assessment for major resuscitations.

METHODS

A video review tool was developed to score the assessment physician on completion of the primary survey components using ATLS format. Interrater reliability and content validity were established for the tool. Data were collected through video review of the trauma response team in the emergency department for all Level 1 trauma alert activations with general consent. Chi-square and regression analyses were used to evaluate the data at 30 days, 6 months, and 1 year from the baseline period.

RESULTS

A total of 142 patient videos were scored between July 28, 2015, and August 1, 2016. Eleven patients were reviewed during the baseline period, and only 9.1% of the total scores were ≥85. Thirty days following project implementation, 37.5% were ≥ 85. Six months following project implementation, 64.4% scored ≥85. One year following project implementation, 91.5% scored ≥85. These were statistically significant changes (p < .0001) with less variability over time.

CONCLUSION

Effective leadership using a standardized approach during the trauma resuscitation has been found to have a positive effect on task completion and the overall functioning of the trauma team. This focused quality improvement project improved compliance with ATLS format and decreased variability by the assessment physician, potentially improving patient safety and outcomes.

LEVEL OF EVIDENCE

Therapeutic/care management study, level IV.

Process Mining for Trauma Resuscitation

We present our process mining system for analyzing the trauma resuscitation process to improve medical team performance and patient outcomes. Our system has four main parts: trauma resuscitation process model discovery, process model enhancement (or repair), process deviation analysis, and process recommendation. We developed novel algorithms to address the technical challenges for each problem. We validated our system on real-world trauma resuscitation data from the Children's National Medical Center (CNMC), a level 1 trauma center. Our results show our system's capability of supporting complex medical processes. Our approaches were also implemented in an interactive visual analytic tool.

Exploring Design Opportunities for a Context-Adaptive Medical Checklist Through Technology Probe Approach

This paper explores the workflow and use of an interactive medical checklist for trauma resuscitation-an emerging technology developed for trauma team leaders to support decision making and task coordination among team members. We used a technology probe approach and ethnographic methods, including video review, interviews, and content analysis of checklist logs, to examine how team leaders use the checklist probe during live resuscitations. We found that team leaders of various experience levels use the technology differently. Some leaders frequently glance at the checklist and take notes during task performance, while others place the checklist on a stand and only interact with the checklist when checking items. We compared checklist timestamps to task activities and found that most items are checked off after tasks are performed. We conclude by discussing design implications and new design opportunities for a future dynamic, adaptive checklist.