Work system barriers and facilitators of a team health information technology.

Designing health IT aimed at supporting team-based care and improving patient safety is difficult. This requires a work system (i.e., SEIPS) evaluation of the technology by care team members. This study aimed to identify work system barriers and facilitators to the use of a team health IT that supports care transitions for pediatric trauma patients. We conducted an analysis on 36 interviews - representing 12 roles - collected from a scenario-based evaluation of T3. We identified eight dimensions with both barriers and facilitators in all five work system elements: person (experience), task (task performance, workload/efficiency), technology (usability, specific features of T3), environment (space, location), and organization (communication/coordination). Designing technology that meets every role's needs is challenging; in particular, when trade-offs need to be managed, e.g., additional workload for one role or divergent perspectives regarding specific features. Our results confirm the usefulness of a continuous work system approach to technology design and implementation.

Management of Critically Ill Patients With Spinal Muscular Atrophy Admitted With Acute Respiratory Failure.

BACKGROUND: Spinal muscular atrophy (SMA) is a neurodegenerative disease that results in progressive muscular atrophy and weakness. The primary cause of morbidity and mortality in these children is pulmonary disease due to poor airway clearance that leads to acute respiratory failure. There is a paucity of literature on the treatment of children with SMA and acute respiratory failure. METHODS: We performed a retrospective chart review of pediatric patients with SMA type I or II admitted to the PICU in a tertiary-care children's hospital with acute respiratory failure who required mechanical ventilation and/or aggressive airway clearance. RESULTS: The study included 300 unique encounters among 137 unique subjects. All the subjects received airway clearance at home before admission, and 257 encounters (85.7%) were supported with noninvasive ventilation (NIV) before admission. Sixty-eight subjects (49.6%) required endotracheal intubation on admission or at some point during their PICU stay. The median (interquartile range [IQR]) time to intubation was 0 (0-20) h, and the median (IQR) duration of mechanical ventilation was 2 (1-5) d on invasive mechanical ventilation with no statistical difference between type I and type II (P = .89). Of those, 65 (91.1%) were successfully extubated to NIV on the first attempt, whereas 4 subjects (5.8%) required multiple extubation attempts and 3 subjects (4.4%) required subsequent tracheostomy. For the subjects who were intubated, both PICU and hospital length of stay were longer (P < .001) when compared with the subjects managed by NIV alone. The subjects with SMA type I had a longer PICU length of stay, with a median (IQR) of 5 (3-11) d versus 4 (2-7) d (P = .002). The hospital length of stay and duration of invasive mechanical ventilation were not statistically different (P = .055 and P = .068, respectively). CONCLUSIONS: The subjects with SMA types I or II can be treated successfully with NIV and aggressive airway clearance during acute respiratory failure. Similarly, when intubation is required, successful extubation can be achieved with NIV transitional support combined with aggressive airway clearance maneuvers.

Managing multiple perspectives in the collaborative design process of a team health information technology.

We need to design technologies that support the work of health care teams; designing such solutions should integrate different clinical roles. However, we know little about the actual collaboration that occurs in the design process for a team-based care solution. This study examines how multiple perspectives were managed in the design of a team health IT solution aimed at supporting clinician information needs during pediatric trauma care transitions. We focused our analysis on four co-design sessions that involved multiple clinicians caring for pediatric trauma patients. We analyzed design session transcripts using content analysis and process coding guided by Détienne's (2006) co-design framework. We expanded upon Détienne (2006) three collaborative activities to identify specific themes and processes of collaboration between care team members engaged in the design process. The themes and processes describe how team members collaborated in a team health IT design process that resulted in a highly usable technology.

Human-centered design of team health IT for pediatric trauma care transitions.

BACKGROUND: As problems of acceptance, usability and workflow integration continue to emerge with health information technologies (IT), it is critical to incorporate human factors and ergonomics (HFE) methods and design principles. Human-centered design (HCD) provides an approach to integrate HFE and produce usable technologies. However, HCD has been rarely used for designing team health IT, even though team-based care is expanding. OBJECTIVE: To describe the HCD process used to develop a usable team health IT (T3 or Teamwork Transition Technology) that provides cognitive support to pediatric trauma care teams during transitions from the emergency department to the operating room and the pediatric intensive care unit. METHODS: The HCD process included seven steps in three phases of analysis, design activities and feedback. RESULTS: The HCD process involved multiple perspectives and clinical roles that were engaged in inter-related activities, leading to design requirements, i.e., goals for the technology, a set of 47 information elements, and a list of HFE design principles applied to T3. Results of the evaluation showed a high usability score for T3. CONCLUSIONS: HFE can be integrated in the HCD process through a range of methods and design principles. That design process can produce a usable technology that provides cognitive support to a large diverse team involved in pediatric trauma care transitions. Future research should continue to focus on HFE-based design of team health IT.

Early infant behavioural correlates of social skills in adolescents.

BACKGROUND: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder typically diagnosed after the second year of life; however, differences in brain structure and function associated with ASD have been ascertained in early infancy. Identifying behavioural markers of ASD risk in early infancy has the potential to facilitate early detection and intervention. OBJECTIVES: We examined associations between infant behaviour and adolescent behaviours associated with ASD. METHODS: Analyses leveraged data available on 370 participants from the New Bedford Cohort, a sociodemographically diverse prospective birth cohort of children born from 1993 to 1998 to mothers residing near the New Bedford Harbor Superfund site in Massachusetts. Longitudinal assessments were used to examine the associations between behaviours when children were approximately 2 weeks old (measured by the Neonatal Behavioral Assessment Scale [NBAS]), and subsequent maladaptive behaviours associated with ASD at approximately 15 years old [measured by the Behavior Assessment System for Children, 2nd Edition-Teacher Rating Scale (BASC-2 TRS) scores which are standardised to a mean (SD) of 50 (10)]. RESULTS: Poorer performance on select individual items and cluster scales of the NBAS was associated with an increase in behaviours associated with ASD in adolescents. Associations were strongest for neonatal measures of self-regulation, response to auditory input, and autonomic nervous system regulation. For example, in covariate-adjusted models, infants with Regulation of State NBAS cluster scores in the lowest tertile (poorest performance) compared to infants with scores in the higher two tertiles had adolescent BASC-2 TRS Developmental Social Disorders T-scores that were 2.9 points higher (95% CI: 0.8, 4.9), indicating more behaviours associated with ASD. CONCLUSION: The NBAS is an established and accessible instrument that assesses a broad range of behaviours in very young infants, and may be a useful tool for newborn assessments of developmental risk, including risk of ASD-associated behaviours.

Tranexamic Acid Use in Pediatric Hemorrhagic Shock From Farm-Related Trauma: A Case Report.

This case describes the use of tranexamic acid as an adjunctive treatment in the management of a pediatric patient in hemorrhagic shock. The case also highlights other components of current best practices for hemorrhagic shock in children, including bleeding source control and prompt resuscitation with blood products. A 20-month old male suffered an agricultural accident with significant injury to the right upper extremity. This led to subsequent extremity hemorrhage and clinical evidence of hemorrhagic shock. As a result of interventions performed by emergency medical services as well as the helicopter emergency medical services team, including the application of a tourniquet, prehospital blood product administration, and tranexamic acid administration, the patient had hemodynamically stabilized by arrival at the level 1 pediatric trauma center and was neurologically intact when discharged from the hospital.

Work system barriers and facilitators in inpatient care transitions of pediatric trauma patients.

Hospital-based care of pediatric trauma patients includes transitions between units that are critical for quality of care and patient safety. Using a macroergonomics approach, we identify work system barriers and facilitators in care transitions. We interviewed eighteen healthcare professionals involved in transitions from emergency department (ED) to operating room (OR), OR to pediatric intensive care unit (PICU) and ED to PICU. We applied the Systems Engineering Initiative for Patient Safety (SEIPS) process modeling method and identified nine dimensions of barriers and facilitators - anticipation, ED decision making, interacting with family, physical environment, role ambiguity, staffing/resources, team cognition, technology and characteristic of trauma care. For example, handoffs involving all healthcare professionals in the OR to PICU transition created a shared understanding of the patient, but sometimes included distractions. Understanding barriers and facilitators can guide future improvements, e.g., designing a team display to support team cognition of healthcare professionals in the care transitions.

Complexity of the pediatric trauma care process: Implications for multi-level awareness.

Trauma is the leading cause of disability and death in children and young adults in the US. While much is known about the medical aspects of inpatient pediatric trauma care, not much is known about the processes and roles involved in in-hospital care. Using human factors engineering (HFE) methods, we combine interview, archival document and trauma registry data to describe how intra-hospital care transitions affect process and team complexity. Specifically, we identify the 53 roles directly involved in patient care in each hospital unit and describe the 3324 total transitions between hospital units and the 69 unique pathways, from arrival to discharge, experienced by pediatric trauma patients. We continue the argument to shift from eliminating complexity to coping with it and propose supporting three levels of awareness to enhance the resilience and adaptation necessary for patient safety in health care, i.e. safety in complex systems. We discuss three levels of awareness (individual, team and organizational) and describe challenges and potential sociotechnical solutions for each. For example, one challenge to individual awareness is high time pressure. A potential solution is clinical decision support of information perception, integration and decision making. A challenge to team awareness is inadequate "non-technical" skills, e.g., leadership, communication, role clarity; simulation or another form of training could improve these. The complex, distributed nature of this process is a challenge to organizational awareness; a potential solution is to develop awareness of the process and the roles and interdependencies within it, by using process modeling or simulation.

Information flow during pediatric trauma care transitions: things falling through the cracks.

Pediatric trauma is one of the leading causes of morbidity and mortality in children in the USA. Every year, nearly 10 million children are evaluated in emergency departments (EDs) for traumatic injuries, resulting in 250,000 hospital admissions and 10,000 deaths. Pediatric trauma care in hospitals is distributed across time and space, and particularly complex with involvement of large and fluid care teams. Several clinical teams (including emergency medicine, surgery, anesthesiology, and pediatric critical care) converge to help support trauma care in the ED; this co-location in the ED can help to support communication, coordination and cooperation of team members. The most severe trauma cases often need surgery in the operating room (OR) and are admitted to the pediatric intensive care unit (PICU). These care transitions in pediatric trauma can result in loss of information or transfer of incorrect information, which can negatively affect the care a child will receive. In this study, we interviewed 18 clinicians about communication and coordination during pediatric trauma care transitions between the ED, OR and PICU. After the interview was completed, we surveyed them about patient safety during these transitions. Results of our study show that, despite the fact that the many services and units involved in pediatric trauma cooperate well together during trauma cases, important patient care information is often lost when transitioning patients between units. To safely manage the transition of this fragile and complex population, we need to find ways to better manage the information flow during these transitions by, for instance, providing technological support to ensure shared mental models.

Relationship Between Severity of Illness and Length of Stay on Costs Incurred During a Pediatric Critical Care Hospitalization.

OBJECTIVE: To estimate the impact of severity of illness and length of stay on costs incurred during a pediatric intensive care unit (PICU) hospitalization. STUDY DESIGN: This is a retrospective cohort study at an academic PICU located in the U.S. that examined 850 patients admitted to the PICU from Jan. 1 to Dec. 31, 2009. The study population was segmented into three severity levels based on pediatric risk of mortality (PRISM) III scores: low (PRISM score 0), medium (PRISM score 1-5), and high (PRISM score greater than 5). Outcome measures were total and daily PICU costs (2009 U.S. dollars). RESULTS: Eight hundred and fifty patients were admitted to the PICU during the study period. Forty-eight patients (5.6 percent) had incomplete financial data and were excluded from further analysis. Mean total PICU costs for low (n = 429), medium (n = 211), and high (n = 162) severity populations were $21,043, $37,980, and $55,620 (p < 0.001). Mean daily PICU costs for the low, medium, and high severity groups were $5,138, $5,903, and $5,595 (p = 0.02). CONCLUSIONS: Higher severity of illness resulted in higher total PICU costs. Interestingly, although daily PICU costs across severity of illness showed a statistically significant difference, the practical economic difference was minimal, emphasizing the importance of length of stay to total PICU costs. Thus, the study suggested that reducing length of stay independent of illness severity may be a practical cost control measure within the pediatric intensive care setting.

A Comparison of Costs Between Medical and Surgical Patients in an Academic Pediatric Intensive Care Unit.

OBJECTIVE: To estimate the impact of patient type on costs incurred during a pediatric intensive care unit (PICU) hospitalization. PATIENTS AND METHODS: Retrospective cohort study at an academic PICU located in the United States that examined 850 patients admitted to the PICU from January 1 to December 31, 2009. Forty-eight patients were excluded due to lack of financial data. Primary service was defined by the attending physician of record. Outcome measures were total and daily pediatric intensive care costs (2009 US dollars). RESULTS: Of 802 patients in the sample, there were 361 medical and 441 surgical patients. Comparing medical to surgical patients, severity of illness as defined by Pediatric Risk of Mortality (PRISM) III scores was 4.53 vs 2.08 (P < 0.001), length of stay was 7.37 vs 5.00 days (P < 0.001), total pediatric intensive care hospital costs were $34,786 vs $30,598 (P < 0.001), and mean daily pediatric intensive care hospital costs were $3985 vs $6616 (P < 0.001). CONCLUSIONS: Medical patients had higher severity of illness and length of stay resulting in higher total pediatric intensive care costs when compared to surgical patients. Interestingly, when accounting the length of stay, surgical patients had higher daily pediatric intensive care costs despite lower severity of illness.

Extensive mandibular ameloblastoma in a pediatric patient.

Ameloblastoma is an infrequent tumor of the jaw with peak incidence generally in the third and fourth decade of life. Treatment commonly involves resection although recurrence rates remain high despite this modality. We present a unique case of a 6.5 cm ameloblastoma in an adolescent patient with who underwent successful excision of her tumor. This case demonstrates the extensive development of the ameloblastoma in a patient requiring transport to the United States before surgical intervention.

Off-label medication use in an academic hospital pediatric critical care unit.

OBJECTIVE: The objective of this study was to analyze medication use in a medium-sized academic hospital pediatric intensive care unit over a 1-year period and identify medications, medication classes, and age categories that would benefit most from pediatric drug trials. METHODS: The patient population included all pediatric patients < 18 years of age (n = 677) admitted to the pediatric intensive care unit from January 1, 2005 to December 31, 2005. The main outcomes assessed were medications and classes of medications most prevalent in each age category in comparison to currently available prescribing guidelines based on Food and drug Administration (FDA) approval as shown in the PDR and research as shown by Lexi-Comp. RESULTS: The 5 medications with highest exposure rates were acetaminophen (70.2%), ranitidine (51.7%), morphine (46.1%), fentanyl (39.3%), and propofol (39.1%). The medication classes with highest exposure rates were analgesics (42%), anesthetics (39%), and antiemetics (33.8%). Of the top 5 medications, only acetaminophen had FDA-approved prescribing guidelines in all age categories. FDA-approved prescribing guidelines were available for less than 35% of commonly prescribed medications in all age categories. CONCLUSION: Pediatric off-label medication use continues to be prevalent. In the pediatric critical care population, most medications are not properly tested for pediatric use. The federal government passed the Best Pharmaceuticals for Children Act (BPCA) in 2002 to encourage pediatric drug studies. However, the medication classes specified for further testing do not reflect the critical care population. Further studies are necessary to delineate the medications and medication classes that need study the most.