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.

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.

Driving Time to Trauma Centers for Children Living in Wisconsin.

INTRODUCTION: Trauma is the number 1 cause of death among children. Shorter distance to definitive trauma care has been correlated with better clinical outcomes. There are only a small number of pediatric trauma centers (PTC) designated by the American College of Surgeons, and the resources available to treat injured children at non-PTCs are limited. To guide resource allocation and advocacy efforts for pediatric trauma care in Wisconsin, we determined the precise distance to trauma centers for all children living in the state. METHODS: The 2010 US Census data was used to determine ZIP-centroid geolocation. The Wisconsin Department of Health Services trauma classification database was used to identify trauma facilities in Wisconsin. SAS routines invoking the Google Maps application programming interface were used to calculate the driving distance to each of the trauma facilities. We quantified the percentage of children living within 30- and 60-minute driving distances of level I-IV trauma centers. RESULTS: Just 31.3% of Wisconsin children live within a 30-minute drive of a level I PTC; 32.7% live within 30 minutes of a level II center; 81.3% within 30 minutes of a level III center; and 74.6% within 30 minutes of a level IV center. CONCLUSION: Two-thirds of children in Wisconsin live beyond a 30-minute driving distance of a level I PTC, but most children live within 30 minutes of level III and IV trauma centers. As the closest hospitals for most children, smaller trauma centers should be adequately resourced to provide pediatric trauma care.

Dissemination of child abuse clinical decision support: Moving beyond a single electronic health record.

BACKGROUND: Child maltreatment is a leading cause of pediatric morbidity and mortality. We previously reported on development and implementation of a child abuse clinical decision support system (CA-CDSS) in the Cerner electronic health record (EHR). Our objective was to develop a CA-CDSS in two different EHRs. METHODS: Using the CA-CDSS in Cerner as a template, CA-CDSSs were developed for use in four hospitals in the Northwell Health system who use Allscripts and two hospitals in the University of Wisconsin health system who use Epic. Each system had a combination of triggers, alerts and child abuse-specific order sets. Usability evaluation was done prior to launch of the CA-CDSS. RESULTS: Over an 18-month period, a CA-CDSS was embedded into Epic and Allscripts at two hospital systems. The CA-CDSSs vary significantly from each other in terms of the type of triggers which were able to be used, the type of alert, the ability of the alert to link directly to child abuse-specific order sets and the order sets themselves. CONCLUSIONS: Dissemination of CA-CDSS from one EHR into the EHR in other health care systems is possible but time-consuming and needs to be adapted to the strengths and limitations of the specific EHR. Site-specific usability evaluation, buy-in of multiple stakeholder groups and significant information technology support are needed. These barriers limit scalability and widespread dissemination of CA-CDSS.

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.

Pediatric near-drowning events: do they warrant trauma team activation?

BACKGROUND: The purpose of this study was to determine the incidence of traumatic injuries, factors associated with mortality, and need for pediatric trauma surgery involvement for drowning and near-drowning events in children. MATERIALS AND METHODS: An institutional review board-approved, retrospective chart review was performed at three American College of Surgeons-verified Pediatric Trauma Centers (2011-2014). Patients with International Classification of Diseases, Ninth Revision, codes or E-codes for fatal-nonfatal drowning, fall into water, accidental drowning, or submersion were included. Bivariate analysis using chi-square or Fisher exact test for nominal variables and Mann-Whitney U test for continuous variables was performed. RESULTS: A total of 363 patients (median 3.17 y [18 d-17 y]) met the inclusion criteria. Drowning sites included pool (81.5%), bathtub (12.9%), and natural water (5.2%). A witnessed fall or dive was reported in 34.9%, 57.9% did not fall or dive, and 7% had an unwitnessed event. Most patients did not undergo cervical spine (83%) or brain imaging (75.5%). Seven patients (1.92%) had associated soft tissue injuries. Two patients (0.006%) received surgical intervention (bronchoscopy and extracorporeal membrane oxygenation) within 24 h of presentation. Only 2.2% were admitted to the pediatric trauma service. The percentage of patients discharged home from the emergency department was 10.2%. Overall mortality was 12.4%. Factors associated with mortality included transfer from outside hospital (P = 0.016), presence of hypothermia on arrival (P < 0.0001), Glasgow Coma Scale of 3 on arrival (P < 0.0001), drowning in a pool (P = 0.013), or undergoing brain cooling at admission (P = 0.011). CONCLUSIONS: This is the largest reported series of pediatric near-drowning events. Only rarely did patients require immediate surgical attention and the majority were admitted to nonsurgical services. These data suggest that routine pediatric trauma surgery service involvement in patients with near-drowning events may be unnecessary.

Multidisciplinary approach to decrease pediatric trauma undertriage.

BACKGROUND: Trauma activation and/or leveling criteria are designed to balance the potential harm to individual patients from undertriage (UT) of severe injuries versus overutilization of resources from overtriage (OT) of lesser injuries. The American College of Surgeons (ACS) recommends an acceptable UT rate ≤5% and OT 25%-50%. To improve UT or OT, an intervention was performed to (1) improve accuracy in following established leveling criteria and (2) modify activation criteria in an evidence-based manner to better identify severely injured children. METHODS: Results from a prospective, interventional process improvement study performed at an ACS-verified level I pediatric trauma center are reported. The baseline period included all pediatric trauma patients who met registry inclusion criteria for 2010. The intervention period included two consecutive 3-mo periods in 2011-2012; phase I of the study involved moving the leveling responsibility from emergency department physicians to the nursing care team leaders. Phase II of the study implemented revised leveling criteria. Sustainability was assessed by evaluating data from 2014. RESULTS: In phase I, accuracy in assigned trauma activation level improved from 70% to 99%. UT decreased 10%-8%, and OT decreased 37.5%-33.3%. In phase II, UT decreased 8%-5.1%, and OT increased 33%-40%. Adherence to the activation criteria remained stable (95%). For 2014, UT was 5.3% and OT was 18.2% demonstrating sustainability. CONCLUSIONS: Shifting trauma leveling responsibilities to nursing care team leaders improved accuracy. Revising the activation criteria to include Center for Disease Control and ACS guidelines, as well as tailoring the activation criteria to the program-specific population, further reduced UT rates in a sustainable fashion.

Reducing catheter-associated urinary tract infections: a quality-improvement initiative.

BACKGROUND: Catheter-associated urinary tract infections (CAUTIs) are among the most common health care-associated infections in the United States, yet little is known about the prevention and epidemiology of pediatric CAUTIs. METHODS: An observational study was conducted to assess the impact of a CAUTI quality improvement prevention bundle that included institution-wide standardization of and training on urinary catheter insertion and maintenance practices, daily review of catheter necessity, and rapid review of all CAUTIs. Poisson regression was used to determine the impact of the bundle on CAUTI rates. A retrospective cohort study was performed to describe the epidemiology of incident pediatric CAUTIs at a tertiary care children's hospital over a 3-year period (June 2009 to June 2012). RESULTS: Implementation of the CAUTI prevention bundle was associated with a 50% reduction in the mean monthly CAUTI rate (95% confidence interval: -1.28 to -0.12; P = .02) from 5.41 to 2.49 per 1000 catheter-days. The median monthly catheter utilization ratio remained unchanged; ∼90% of patients had an indication for urinary catheterization. Forty-four patients experienced 57 CAUTIs over the study period. Most patients with CAUTIs were female (75%), received care in the pediatric or cardiac ICUs (70%), and had at least 1 complex chronic condition (98%). Nearly 90% of patients who developed a CAUTI had a recognized indication for initial catheter placement. CONCLUSIONS: CAUTI is a common pediatric health care-associated infection. Implementation of a prevention bundle can significantly reduce CAUTI rates in children.