Implementation of a Clinical Decision Support System for Children With Minor Blunt Head Trauma Who Are at Nonnegligible Risk for Traumatic Brain Injuries

Optimizing Advanced Imaging of the Pediatric Patient in the Emergency Department: Technical Report

Advanced diagnostic imaging modalities, including ultrasonography, computed tomography, and magnetic resonance imaging, are key components in the evaluation and management of pediatric patients presenting to the emergency department. Advances in imaging technology have led to the availability of faster and more accurate tools to improve patient care. Notwithstanding these advances, it is important for physicians, physician assistants, and nurse practitioners to understand the risks and limitations associated with advanced imaging in children and to limit imaging studies that are considered low value, when possible. This technical report provides a summary of imaging strategies for specific conditions where advanced imaging is commonly considered in the emergency department. As an accompaniment to the policy statement, this document provides resources and strategies to optimize advanced imaging, including clinical decision support mechanisms, teleradiology, shared decision-making, and rationale for deferred imaging for patients who will be transferred for definitive care.

Optimizing Advanced Imaging of the Pediatric Patient in the Emergency Department: Technical Report

Advanced diagnostic imaging modalities, including ultrasonography, computed tomography, and magnetic resonance imaging (MRI), are key components in the evaluation and management of pediatric patients presenting to the emergency department. Advances in imaging technology have led to the availability of faster and more accurate tools to improve patient care. Notwithstanding these advances, it is important for physicians, physician assistants, and nurse practitioners to understand the risks and limitations associated with advanced imaging in children and to limit imaging studies that are considered low value, when possible. This technical report provides a summary of imaging strategies for specific conditions where advanced imaging is commonly considered in the emergency department. As an accompaniment to the policy statement, this document provides resources and strategies to optimize advanced imaging, including clinical decision support mechanisms, teleradiology, shared decision-making, and rationale for deferred imaging for patients who will be transferred for definitive care.

The role of information systems in emergency department decision-making-a literature review

OBJECTIVES

Healthcare providers employ heuristic and analytical decision-making to navigate the high-stakes environment of the emergency department (ED). Despite the increasing integration of information systems (ISs), research on their efficacy is conflicting. Drawing on related fields, we investigate how timing and mode of delivery influence IS effectiveness. Our objective is to reconcile previous contradictory findings, shedding light on optimal IS design in the ED.

MATERIALS AND METHODS

We conducted a systematic review following PRISMA across PubMed, Scopus, and Web of Science. We coded the ISs' timing as heuristic or analytical, their mode of delivery as active for automatic alerts and passive when requiring user-initiated information retrieval, and their effect on process, economic, and clinical outcomes.

RESULTS

Our analysis included 83 studies. During early heuristic decision-making, most active interventions were ineffective, while passive interventions generally improved outcomes. In the analytical phase, the effects were reversed. Passive interventions that facilitate information extraction consistently improved outcomes.

DISCUSSION

Our findings suggest that the effectiveness of active interventions negatively correlates with the amount of information received during delivery. During early heuristic decision-making, when information overload is high, physicians are unresponsive to alerts and proactively consult passive resources. In the later analytical phases, physicians show increased receptivity to alerts due to decreased diagnostic uncertainty and information quantity. Interventions that limit information lead to positive outcomes, supporting our interpretation.

CONCLUSION

We synthesize our findings into an integrated model that reveals the underlying reasons for conflicting findings from previous reviews and can guide practitioners in designing ISs in the ED.

Safely Shifting MRIs for Seizure Evaluation to the Outpatient Setting

BACKGROUND AND OBJECTIVES

When a patient is admitted for seizure-like activity, in addition to obtaining a thorough history and physical exam, the evaluation may include a neurology consultation, EEG, and brain MRI. The cost of an inpatient MRI is significant and only 2% of MRIs yield clinically significant findings. At our institution, there was a 20% increase in patients undergoing inpatient MRI from 2018 to 2020. Our aim: Decrease the percentage of patient encounters receiving inpatient brain MRIs for seizure evaluation from 50% to 40% in 6 months by safely shifting MRIs to the outpatient setting.

METHODS

Initially, provider variability in ordering practices of MRIs was analyzed. Stakeholders were gathered and a local guideline was developed to standardize MRI utilization. A process map was created and highlighted barriers to obtaining an outpatient MRI. A new standard process was developed that streamlined and automated processes, and reduced delays and reliance on patients' families.

RESULTS

Since implementation of the new clinical guideline, the percentage of inpatient MRIs ordered for patient encounters presenting with seizures and seizure-like episodes decreased from a mean of 50% to 26%. Significant reductions occurred for patients with complex febrile seizures, provoked but afebrile seizures, and unprovoked seizures. The MRI guideline recommendations were followed in 93% of encounters in the final 12 months. None of the patients who underwent outpatient MRI required readmission for acute findings.

CONCLUSIONS

In this project, the percentage of inpatient MRIs was safely decreased with the implementation of a clinical guideline and standardized process.

What works for and what hinders deimplementation of low-value care in emergency medicine practice? A scoping review

OBJECTIVES

Low-value care can harm patients and healthcare systems. Despite a decade of global endeavours, low value care has persisted. Identification of barriers and enablers is essential for effective deimplementation of low-value care. This scoping review is an evidence summary of barriers, enablers and features of effective interventions for deimplementation of low-value care in emergency medicine practice worldwide.

DESIGN

A mixed-methods scoping review was conducted using the Arksey and O'Malley framework.

DATA SOURCES

Medline, CINAHL, Embase, EMCare, Scopus and grey literature were searched from inception to 5 December 2022.

ELIGIBILITY CRITERIA

Primary studies which employed qualitative, quantitative or mixed-methods approaches to explore deimplementation of low-value care in an EM setting and reported barriers, enablers or interventions were included. Reviews, protocols, perspectives, comments, opinions, editorials, letters to editors, news articles, books, chapters, policies, guidelines and animal studies were excluded. No language limits were applied.

DATA EXTRACTION AND SYNTHESIS

Study selection, data collection and quality assessment were performed by two independent reviewers. Barriers, enablers and interventions were mapped to the domains of the Theoretical Domains Framework. The Mixed Methods Appraisal Tool was used for quality assessment.

RESULTS

The search yielded 167 studies. A majority were quantitative studies (90%, 150/167) that evaluated interventions (86%, 143/167). Limited provider abilities, diagnostic uncertainty, lack of provider insight, time constraints, fear of litigation, and patient expectations were the key barriers. Enablers included leadership commitment, provider engagement, provider training, performance feedback to providers and shared decision-making with patients. Interventions included one or more of the following facets: education, stakeholder engagement, audit and feedback, clinical decision support, nudge, clinical champions and training. Multifaceted interventions were more likely to be effective than single-faceted interventions. Effectiveness of multifaceted interventions was influenced by fidelity of the intervention facets. Use of behavioural change theories such as the Theoretical Domains Framework in the published studies appeared to enhance the effectiveness of interventions to deimplement low-value care.

CONCLUSION

High-fidelity, multifaceted interventions that incorporated education, stakeholder engagement, audit/feedback and clinical decision support, were administered daily and lasted longer than 1 year were most effective in achieving deimplementation of low-value care in emergency departments. This review contributes the best available evidence to date, but further rigorous, theory-informed, qualitative and mixed-methods studies are needed to supplement the growing body of evidence to effectively deimplement low-value care in emergency medicine practice.

Improving Head CT Scan Decisions for Pediatric Minor Head Trauma in General Emergency Departments: A Pragmatic Implementation Study

STUDY OBJECTIVE

To measure the effectiveness of a multimodal strategy, including simultaneous implementation of a clinical decision support system, to sustain adherence to a clinical pathway for care of children with minor head trauma treated in general emergency departments (EDs).

METHODS

Prospective, type III hybrid effectiveness-implementation cohort study with a nonrandomized stepped-wedge design and monthly repeated site measures. The study population included pediatric minor head trauma encounters from July 2018 to December 2020 at 21 urban and rural general ED sites in an integrated health care system. Sites received the intervention in 1 of 2 steps, with each site providing control and intervention observations. Measures included guideline adherence, the computed tomography (CT) scan rate, and 72-hour readmissions with clinically important traumatic brain injury. Analysis was performed using multilevel hierarchical modeling with random intercepts for the site and physician.

RESULTS

During the study, 12,670 pediatric minor head trauma encounters were cared for by 339 clinicians. The implementation of the clinical pathway resulted in higher odds of guideline adherence (adjusted odds ratio 1.12 [95% confidence interval 1.03 to 1.22]) and lower odds of a CT scan (adjusted odds ratio 0.96 [95% confidence interval 0.93 to 0.98]) in intervention versus control months. Absolute risk difference was observed in both guideline adherence (site median: +2.3% improvement) and the CT scan rate (site median: -6.6% reduction). No 72-hour readmissions with confirmed clinically important traumatic brain injury were identified.

CONCLUSION

Implementation of a minor head trauma clinical pathway using a multimodal approach, including a clinical decision support system, led to sustained improvements in adherence and a modest, yet safe, reduction in CT scans among generally low-risk patients in diverse general EDs.

Effectiveness of Clinical Decision Support Systems on the Appropriate Use of Imaging for Central Nervous System Injuries: A Systematic Review

BACKGROUND

One of the best practices for timely and efficient diagnoses of central nervous system (CNS) trauma and complex diseases is imaging. However, rates of imaging for CNS are high and impose a lot of costs to health care facilities in addition to exposing patients with negative impact of ionizing radiation.

OBJECTIVES

This study aimed to systematically review the effects and features of clinical decision support systems (CDSSs) for the appropriate use of imaging for CNS injuries.

METHOD

We searched MEDLINE, SCOPUS, Web of Science, and Cochrane without time period restriction. We included experimental and quasiexperimental studies that assessed the effectiveness of CDSSs designed for the appropriate use of imaging for CNS injuries in any clinical setting, including primary, emergency, and specialist care. The outcomes were categorized based on imaging-related, physician-related, and patient-related groups.

RESULT

A total of 3,223 records were identified through the online literature search. Of the 55 potential papers for the full-text review, 11 eligible studies were included. Reduction of CNS imaging proportion varied from 2.6 to 40% among the included studies. Physician-related outcomes, including guideline adherence, diagnostic yield, and knowledge, were reported in five studies, and all demonstrated positive impact of CDSSs. Four studies had addressed patient-related outcomes, including missed or delayed diagnosis, as well as length of stay. These studies reported a very low rate of missed diagnosis due to the cancellation of computed tomography (CT) examine according to the CDSS recommendations.

CONCLUSION

This systematic review reports that CDSSs decrease the utilization of CNS CT scan, while increasing physicians' adherence to the rules. However, the possible harm of CDSSs to patients was not well addressed by the included studies and needs additional investigation. The actual effect of CDSSs on appropriate imaging would be realized when the saved cost of examinations is compared with the cost of missed diagnosis.

Low Concordance Between Pediatric Emergency Attendings and Pediatric Residents for Predictors of Serious Intracranial Injury

OBJECTIVES

Minor head trauma is a common cause of pediatric emergency room visits. The Pediatric Emergency Care Applied Research Network head trauma clinical decision rules (PECARN-CDR) are designed to assist clinicians in determining which patients require imaging. However, only minimal data are available on the accuracy of residents' assessments using PECARN-CDR. Prior research suggests that trainees often come to erroneous conclusions about pediatric head trauma. The objective of the present study was to assess concordance between pediatric residents' and attending physicians' assessments of children with low-risk head trauma, with the ultimate goal of improving education in pediatric trauma assessment.

METHODS

This is a retrospective cohort study analyzing concordance between pediatric residents and pediatric emergency attendings who provided PECARN-CDR-based evaluations of low-risk head injuries. It is a planned subanalysis based on a prospectively collected, multicenter data set tracking pediatric head trauma encounters from July 2014 to June 2019.

RESULTS

Data were collected from 436 pediatric residents, who encountered 878 patients. In the case of patients younger than 2 years, low concordance between residents and attendings was observed for the following elements of the PECARN-CDR: severe mechanism (κ = 0.24), palpable skull fracture (κ = 0.23), Glasgow Coma Scale (GCS) score less than 15 (κ = 0.14), and altered mental status (AMS; κ = -0.03). There was moderate to high agreement between residents and attendings for loss of consciousness (κ = 0.71), nonfrontal hematoma (κ = 0.48), and not acting normally per parent (κ = 0.35). In the case of patients older than 2 years, there was low concordance for signs of basilar skull fracture (κ = 0.28) and GCS score less than 15 (κ = 0.10). Concordance was high to moderate for history of vomiting (κ = 0.88), loss of consciousness (κ = 0.67), severe headache (κ = 0.50), severe mechanism (κ = 0.44), and AMS (κ = 0.42). Residents were more conservative, that is, more likely to report a positive finding, in nearly all components of the PECARN-CDR.

CONCLUSIONS

Resident assessment of children presenting to the ED with minor head trauma is often poorly concordant with attending assessment on the major predictors of clinically important traumatic brain injury (abnormal GCS, AMS, signs of skull fracture) based on the PECARN-CDR. Future work may explore the reasons for low concordance and seek ways to improve pediatric resident education in the diagnosis and management of trauma.

Effect of clinical decision support systems on emergency medicine physicians' decision-making: A pilot scenario-based simulation study

BACKGROUND AND OBJECTIVES

Children with congenital heart disease (CHD) are predisposed to rapid deterioration in the face of common childhood illnesses. When they present to their local emergency departments (ED) with acute illness, rapid and accurate diagnosis and treatment is crucial to recovery and survival. Previous studies have shown that ED physicians are uncomfortable caring for patients with CHD and there is a lack of actionable guidance to aid in their decision making. To support ED physicians' key decision components (sensemaking, anticipation, and managing complexity) when managing CHD patients, a Clinical Decision Support System (CDSS) was previously designed. This pilot study evaluates the effect of this CDSS on ED physicians' decision making compared to usual care without clinical decision support.

METHODS

In a pilot scenario-based simulation study with repeated measures, ED physicians managed mock CHD patients with and without the CDSS. We compared ED physicians' CHD-specific and general decision-making processes (e.g., recognizing sepsis, starting antibiotics, and managing symptoms) with and without the use of CDSS. The frequency of participants' utterances related to each key decision components of sensemaking, anticipation, and managing complexity were coded and statistically analyzed for significance.

RESULTS

Across all decision-making components, the CDSS significantly increased ED physicians' frequency of "CHD specific utterances" (Mean = 5.43, 95%CI: 3.7-7.2) compared to the without CDSS condition (Mean = 2.05, 95%CI: 0.3-3.8) whereas there was no significant difference in frequencies of "general utterances" when using CDSS (Mean = 4.62, 95%CI: 3.1-6.1) compared to without CDSS (Mean = 5.14 95%CI: 4.4-5.9).

CONCLUSION

A CDSS that integrates key decision-making components (sensemaking, anticipation, and managing complexity) can trigger and enrich communication between clinicians and enhance the clinical management of CHD patients. For patients with complex and subspecialized diseases such as CHD, a well-designed CDSS can become part of a multifaceted solution that includes knowledge translation, broader communication around interpretation of information, and access to additional expertise to support CHD specific decision-making.

Interventions to reduce low-value imaging - a systematic review of interventions and outcomes

BACKGROUND

It is estimated that 20-50% of all radiological examinations are of low value. Many attempts have been made to reduce the use of low-value imaging. However, the comparative effectiveness of interventions to reduce low-value imaging is unclear. Thus, the objective of this systematic review was to provide an overview and evaluate the outcomes of interventions aimed at reducing low-value imaging.

METHODS

An electronic database search was completed in Medline - Ovid, Embase-Ovid, Scopus, and Cochrane Library for citations between 2010 and 2020. The search was built from medical subject headings for Diagnostic imaging/Radiology, Health service misuse or medical overuse, and Health planning. Keywords were used for the concept of reduction and avoidance. Reference lists of included articles were also hand-searched for relevant citations. Only articles written in English, German, Danish, Norwegian, Dutch, and Swedish were included. The Mixed Methods Appraisal Tool was used to appraise the quality of the included articles. A narrative synthesis of the final included articles was completed.

RESULTS

The search identified 15,659 records. After abstract and full-text screening, 95 studies of varying quality were included in the final analysis, containing 45 studies found through hand-searching techniques. Both controlled and uncontrolled before-and-after studies, time series, chart reviews, and cohort studies were included. Most interventions were aimed at referring physicians. Clinical practice guidelines (n = 28) and education (n = 28) were most commonly evaluated interventions, either alone or in combination with other components. Multi-component interventions were often more effective than single-component interventions showing a reduction in the use of low-value imaging in 94 and 74% of the studies, respectively. The most addressed types of imaging were musculoskeletal (n = 26), neurological (n = 23) and vascular (n = 16) imaging. Seventy-seven studies reported reduced low-value imaging, while 3 studies reported an increase.

CONCLUSIONS

Multi-component interventions that include education were often more effective than single-component interventions. The contextual and cultural factors in the health care systems seem to be vital for successful reduction of low-value imaging. Further research should focus on assessing the impact of the context in interventions reducing low-value imaging and how interventions can be adapted to different contexts.

Decision support for computed tomography in the emergency department: a multicenter cluster-randomized controlled trial

OBJECTIVES

Clinical decision support may facilitate evidence-based imaging, but most studies to date examining the impact of decision support have used non-randomized designs which limit the conclusions that can be drawn from them. This randomized trial examines if decision support can reduce computed tomography (CT) utilization for patients with mild traumatic brain injuries and suspected pulmonary embolism in the emergency department. This study was funded by a competitive public research grant and registered on ClinicalTrials.gov (NCT02410941).

METHODS

Emergency physicians at five urban sites were assigned to voluntary decision support for CT imaging of patients with either head injuries or suspected pulmonary embolism using a cluster-randomized design over a 1-year intervention period. The co-primary outcomes were CT head and CT pulmonary angiography utilization. CT pulmonary angiography diagnostic yield (proportion of studies diagnostic for acute pulmonary embolism) was a secondary outcome.

RESULTS

A total of 225 physicians were randomized and studied over a 2-year baseline and 1-year intervention period. Physicians interacted with the decision support in 38.0% and 45.0% of eligible head injury and suspected pulmonary embolism cases, respectively. A mixed effects logistic regression model demonstrated no significant impact of decision support on head CT utilization (OR 0.93, 95% CI 0.79-1.10, p = 0.31), CT pulmonary angiography utilization (OR 0.98, 95% CI 0.88-1.11, p = 0.74) or diagnostic yield (OR 1.23, 95% CI 0.96-1.65, p = 0.10). However, overall CT pulmonary diagnostic yield (17.7%) was almost three times higher than that reported by a recent large US study, suggesting that selective imaging was already being employed.

CONCLUSION

Voluntary decision support addressing many commonly cited barriers to evidence-based imaging did not significantly reduce CT utilization or improve diagnostic yield but was limited by low rates of participation and high baseline rates of selective imaging. Demonstrating value to clinicians through interventions that improve workflow is likely necessary to meaningfully change imaging practices.

Association of Clinical Guidelines and Decision Support with Computed Tomography Use in Pediatric Mild Traumatic Brain Injury

OBJECTIVE

To examine whether the presence of clinical guidelines and clinical decision support (CDS) for mild traumatic brain injury (mTBI) are associated with lower use of head computed tomography (CT).

STUDY DESIGN

We conducted a cross-sectional study of 45 pediatric emergency departments (EDs) in the Pediatric Hospital Information System from 2015 through 2019. We included children discharged with mTBI and surveyed ED clinical directors to ascertain the presence and implementation year of clinical guidelines and CDS. The association of clinical guidelines and CDS with CT use was assessed, adjusting for relevant confounders. As secondary outcomes, we evaluated ED length of stay and rates of 3-day ED revisits and admissions after revisits.

RESULTS

There were 216 789 children discharged with mTBI, and CT was performed during 20.3% (44 114/216 789) of ED visits. Adjusted hospital-specific CT rates ranged from 11.8% to 34.7% (median 20.5%, IQR 17.3%, 24.3%). Of the 45 EDs, 17 (37.8%) had a clinical guideline, 9 (20.0%) had CDS, and 19 (42.2%) had neither. Compared with EDs with neither a clinical guideline nor CDS, visits to EDs with CDS (aOR 0.52 [0.47, 0.58]) or a clinical guideline (aOR 0.83 [0.78, 0.89]) had lower odds of including a CT for mTBI. ED length of stay and revisit rates did not differ based on the presence of a clinical guideline or CDS.

CONCLUSIONS

Clinical guidelines for mTBI, and particularly CDS, were associated with lower rates of head CT use without adverse clinical outcomes.

Reducing Computed Tomography Scan Utilization for Pediatric Minor Head Injury in the Emergency Department: A Quality Improvement Initiative

BACKGROUND

The validated Pediatric Emergency Care Applied Research Network (PECARN) prediction rules are meant to aid clinicians in safely reducing unwarranted imaging in children with minor head injuries (MHI). Even so, computed tomography (CT) scan utilization remains high, especially in intermediate-risk (per PECARN) MHI patients. The primary objective of this quality improvement initiative was to reduce CT utilization rates in the intermediate-risk MHI patients.

METHODS

This project was conducted in a Level I trauma pediatric emergency department (ED). Children < 18 years evaluated for intermediate-risk MHI from June 2016 through July 2019 were included. Our key drivers were provider education, decision support, and performance feedback. Our primary outcome was change in head CT utilization rate (%). Balancing measures included return visit within 72 hours of the index visit, ED length of stay (LOS), and clinically important traumatic brain injury (ciTBI) on the revisit. We used statistical process control methodology to assess head CT rates over time.

RESULTS

A total of 1,535 eligible intermediate-risk MHI patients were analyzed. Our intervention bundle was associated with a decrease in CT use from 18.5% (95% confidence interval [CI] = 14.5% to 22.5%) in the preintervention period to 13.9% (95% CI = 13.8% to 14.1%) in the postintervention period, an absolute reduction of 4.6% (p = 0.015). Over time, no difference was noted in either ED LOS or return visit rate. There was only one revisit with a ciTBI to our institution during the study period.

CONCLUSIONS

Our multifaceted quality improvement initiative was both safe and effective in reducing our CT utilization rates in children with intermediate-risk MHI.

Post-traumatic seizures following pediatric traumatic brain injury

OBJECTIVES

The aim of this study was to investigate the national impact of demographic, hospital, and inpatient risk factors on post-traumatic seizure (PTS) development in pediatric patients who presented to the ED following a traumatic brain injury (TBI).

PATIENTS AND METHODS

The Nationwide Emergency Department Sample database years 2010-2014 was queried. Patients (<21 years old) with a primary diagnosis of TBI and subsequent secondary diagnosis of PTS were identified using the International Classification of Diseases, Ninth Revision, Clinical Modification coding system. We identified demographic variables, hospital characteristics, pre-existing medical comorbidities, etiology of injuries, and type of injury. Univariate and multivariate logistic regression analyses were performed to identify the factors associated with post-traumatic seizures.

RESULTS

We identified 1,244,087 patients who sustained TBI, of which 10,340 (0.83%) developed PTS. Of the patients who had seizures, the youngest cohort aged 0-5 years had the greatest proportion of seizure development (p < 0.001). Compared to those TBI patients with loss of consciousness (LOC), patients encountering no LOC after TBI had the smallest proportion of seizures while Prolonged LOC with baseline return had the greatest proportion. On univariate analysis of the effect of in-hospital complication on rate of seizures, respiratory, renal and urinary, hematoma, septicemia, and other neurological complications were all significantly associated with seizure development. On multivariate regression, age 6-10 years (OR: 0.48, p < 0.001) 11-15 years (OR: 0.41, p < 0.001), and 16-20 years (OR: 0.51, p < 0.001) were independently associated with decreased risk of developing seizures. Extended LOC with baseline return (OR: 6.33, p < 0.001), extended LOC without baseline return (OR: 1.95, p = 0.009), and Other LOC (OR: 3.02, p < 0.001) were independently associated with increased risk of developing seizures. Subarachnoid hemorrhage (OR: 4.14, p < 0.001), subdural hemorrhage [OR: 7.72, p < 0.001), and extradural hemorrhage (OR: 3.13, p < 0.001) were all independently associated with increased risk of developing seizures.

CONCLUSION

Out study demonstrates that various demographic, hospital, and clinical risk factors are associated with the development of seizures following traumatic brain injury. Enhancing awareness of these drivers may help provide greater awareness of patients likely to develop post-traumatic seizures such that this complication can be decreased in incidence so as to improve quality of care and decrease healthcare costs.

Risk Factors for the Development of Post-Traumatic Hydrocephalus in Children

OBJECTIVE

The aim of this study was to investigate the national impact of demographic, hospital, and inpatient risk factors on posttraumatic hydrocephalus (PTH) development in pediatric patients who presented to the emergency department after a traumatic brain injury (TBI).

METHODS

The Nationwide Emergency Department Sample database 2010-2014 was queried. Patients (<21 years old) with a primary diagnosis of TBI and subsequent secondary diagnosis of PTH were identified using the International Classification of Diseases, Ninth Revision, Clinical Modification coding system.

RESULTS

We identified 1,244,087 patients who sustained TBI, of whom 930 (0.07%) developed PTH. The rates of subdural hemorrhage and subarachnoid hemorrhage were both significantly higher for the PTH cohort. On multivariate regression, age 6-10 years (odds ratio [OR], 0.6; 95% confidence interval [CI], 0.38-0.93; P = 0.022), 11-15 years (OR, 0.32; 95% CI, 0.21-0.48; P < 0.0001), and 16-20 years (OR, 0.24; 95% CI, 0.15-0.37; P < 0.0001) were independently associated with decreased risk of developing hydrocephalus, compared with ages 0-5 years. Extended loss of consciousness with baseline return and extended loss of consciousness without baseline return were independently associated with increased risk of developing hydrocephalus. Respiratory complication (OR, 28.35; 95% CI, 15.75-51.05; P < 0.0001), hemorrhage (OR, 37.12; 95% CI, 4.79-287.58; P = 0.0001), thromboembolic (OR, 8.57; 95% CI, 1.31-56.19; P = 0.025), and neurologic complication (OR, 64.64; 95% CI, 1.39-3010.2; P = 0.033) were all independently associated with increased risk of developing hydrocephalus.

CONCLUSIONS

Our study using the Nationwide Emergency Department Sample database shows that various demographic, hospital, and clinical risk factors are associated with the development of hydrocephalus after traumatic brain injury.

Children With Minor Blunt Head Trauma Presenting to the Emergency Department

In our state-of-the-art review, we summarize the best-available evidence for the optimal emergency department management of children with minor blunt head trauma. Minor blunt head trauma in children is a common reason for emergency department evaluation, although clinically important traumatic brain injuries (TBIs) as a result are uncommon. Cranial computed tomography (CT) scanning is the reference standard for the diagnosis of TBIs, although they should be used judiciously because of the risk of lethal malignancy from ionizing radiation exposure, with the greatest risk to the youngest children. Available TBI prediction rules can assist with CT decision-making by identifying patients at either low risk for TBI, for whom CT scans may safely be obviated, or at high risk, for whom CT scans may be indicated. For clinical prediction rules to change practice, however, they require active implementation. Observation before CT decision-making in selected patients may further reduce CT rates without missing children with clinically important TBIs. Future work is also needed to incorporate patient and family preferences into these decision-making algorithms when the course of action is not clear.