Implementation of Electronic Clinical Decision Support for Pediatric Appendicitis

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.

Identification of patients at high risk for brain death using an automated digital screening tool: a prospective diagnostic accuracy study

BACKGROUND

An automated digital screening tool (DETECT) has been developed to aid in the early identification of patients who are at risk of developing brain death during critical care.

METHODS

This prospective diagnostic accuracy study included consecutive patients ≥ 18 years admitted to neurocritical care for primary or secondary acute brain injury. The DETECT screening tool searched routinely monitored patient data in the electronic medical records every 12 h for a combination of coma and absence of bilateral pupillary light reflexes. In parallel, daily neurological assessment was performed by expert neurointensivists in all patients blinded to the index test results. The primary target condition was the eventual diagnosis of brain death. Estimates of diagnostic accuracy along with their 95%-confidence intervals were calculated to assess the screening performance of DETECT.

RESULTS

During the 12-month study period, 414 patients underwent neurological assessment, with 8 (1.9%) confirmed cases of brain death. DETECT identified 54 positive patients and sent 281 notifications including 227 repeat notifications. The screening tool had a sensitivity of 100% (95% CI 63.1-100%) in identifying patients who eventually developed brain death, with no false negatives. The mean time from notification to confirmed diagnosis of brain death was 3.6 ± 3.2 days. Specificity was 88.7% (95% CI 85.2-91.6%), with 46 false positives. The overall accuracy of DETECT for confirmed brain death was 88.9% (95% CI 85.5-91.8%).

CONCLUSIONS

Our findings suggest that an automated digital screening tool that utilizes routinely monitored clinical data may aid in the early identification of patients at risk of developing brain death.

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.

Standardizing and Improving Care for Pediatric Agitation Management in the Emergency Department

BACKGROUND AND OBJECTIVES

Pediatric mental health emergency department (ED) visits are rising in the United States, with more visits involving medication for acute agitation. Timely, standardized implementation of behavioral strategies and medications may reduce the need for physical restraint. Our objective was to standardize agitation management in a pediatric ED and reduce time in physical restraints.

METHODS

A multidisciplinary team conducted a quality improvement initiative from September 2020 to August 2021, followed by a 6-month maintenance period. A barrier assessment revealed that agitation triggers were inadequately recognized, few activities were offered during long ED visits, staff lacked confidence in verbal deescalation techniques, medication choices were inconsistent, and medications were slow to take effect. Sequential interventions included development of an agitation care pathway and order set, optimization of child life and psychiatry workflows, implementation of personalized deescalation plans, and adding droperidol to the formulary. Measures include standardization of medication choice for severe agitation and time in physical restraints.

RESULTS

During the intervention and maintenance periods, there were 129 ED visits with medication given for severe agitation and 10 ED visits with physical restraint use. Among ED visits with medication given for severe agitation, standardized medication choice (olanzapine or droperidol) increased from 8% to 88%. Mean minutes in physical restraints decreased from 173 to 71.

CONCLUSIONS

Implementing an agitation care pathway standardized and improved care for a vulnerable and high-priority population. Future studies are needed to translate interventions to community ED settings and to evaluate optimal management strategies for pediatric acute agitation.

Antibiotic clinical decision support for pneumonia in the ED: A randomized trial

BACKGROUND

Electronic health record-based clinical decision support (CDS) is a promising antibiotic stewardship strategy. Few studies have evaluated the effectiveness of antibiotic CDS in the pediatric emergency department (ED).

OBJECTIVE

To compare the effectiveness of antibiotic CDS vs. usual care for promoting guideline-concordant antibiotic prescribing for pneumonia in the pediatric ED.

DESIGN

Pragmatic randomized clinical trial.

SETTING AND PARTICIPANTS

Encounters for children (6 months-18 years) with pneumonia presenting to two tertiary care children s hospital EDs in the United States.

INTERVENTION

CDS or usual care was randomly assigned during 4-week periods within each site. The CDS intervention provided antibiotic recommendations tailored to each encounter and in accordance with national guidelines.

MAIN OUTCOME AND MEASURES

The primary outcome was exclusive guideline-concordant antibiotic prescribing within the first 24 h of care. Safety outcomes included time to first antibiotic order, encounter length of stay, delayed intensive care, and 3- and 7-day revisits.

RESULTS

1027 encounters were included, encompassing 478 randomized to usual care and 549 to CDS. Exclusive guideline-concordant prescribing did not differ at 24 h (CDS, 51.7% vs. usual care, 53.3%; odds ratio [OR] 0.94 [95% confidence interval [CI]: 0.73, 1.20]). In pre-specified stratified analyses, CDS was associated with guideline-concordant prescribing among encounters discharged from the ED (74.9% vs. 66.0%; OR 1.53 [95% CI: 1.01, 2.33]), but not among hospitalized encounters. Mean time to first antibiotic was shorter in the CDS group (3.0 vs 3.4 h; p = .024). There were no differences in safety outcomes.

CONCLUSIONS

Effectiveness of ED-based antibiotic CDS was greatest among those discharged from the ED. Longitudinal interventions designed to target both ED and inpatient clinicians and to address common implementation challenges may enhance the effectiveness of CDS as a stewardship tool.

Appendicitis Inflammatory Response Score in Acute Appendicitis: A Study at a Tertiary Care Center in North India

Introduction

Appendicitis is a common cause of acute abdominal pain. The diagnosis is eminently clinical and the cause is surgically correctable. However, a decision of surgery based on the clinical presentation only has a 15%-30% chance of the removal of a normal appendix. Thus, the diagnosis involves a corroboration of clinical, laboratory, and radiological findings. Appendicitis scoring systems can be considered to expedite the diagnostic and decision-making process.

Aim

The present study was conducted to study the efficacy of Appendicitis Inflammatory Response (AIR) score in the diagnosis of acute appendicitis and its correlation with the histopathological findings.

Materials and Methods

A cross-sectional study was conducted at a tertiary care center in North India comprising patients who presented to the surgery department with a provisional diagnosis of acute appendicitis and required appendectomy.

Results

Appendicitis was histopathologically proven in 54 patients. Patients with an AIR score ≥5 were 2.18 times more likely to have appendicitis. The probability of having appendicitis with AIR score ≥5 was 92.16% (positive predictive value). The diagnostic accuracy of AIR score was 82.81%.

Conclusion

AIR score has a high sensitivity and positive predictive value in the diagnosis of acute appendicitis. It is a quick and convenient system for clinical evaluation of patients in primary care or peripheral hospitals where advanced facilities such as USG scan or CT scan are not available all the time. The application of this scoring system definitely improves diagnostic accuracy and reduces negative appendectomy rate.

Use of a Clinical Guideline and Orderset to Reduce Hospital Admissions for Croup

BACKGROUND

Studies have found infrequent interventions after croup admission. Our objectives were to achieve 25% reduction in (1) admission rate and (2) neck radiograph utilization among patients presenting to the emergency department.

METHODS

At our tertiary children's hospital, we implemented clustered interventions including education, guideline, and orderset integration. We included patients 3 months to 8 years old with an emergency department, observation, or inpatient encounter for croup. We excluded patients with direct or ICU admissions, complex chronic conditions, or concurrent asthma, pneumonia, or bronchiolitis. We reviewed a random sample of 60% of encounters from baseline (October 1, 2017 to September 30, 2019) and implementation (October 1, 2019 to September 30, 2020) periods. We conducted a posthoc analysis from October 1, 2017 to December 1, 2021 to assess sustainment during coronavirus disease 2019. Interrupted time series analysis was used to evaluate changes in outcome, process, and balancing measures.

RESULTS

There were 2906 (2123 baseline and 783 implementation) encounters included. Extrapolating preintervention trend estimates, the baseline admission rate of 8.7% decreased to 5.5% postintervention (relative decrease 37% [95% confidence interval: 8 to 66]) and sustained over 26 months after implementation. Admission rate in patients receiving 2 or fewer racemic epinephrine was significantly lower in implementation (1.7%) compared with baseline (6.3%), relative decrease of 72% (95% confidence interval: 68 to 88). There were no significant changes in neck radiographs, length of stay, or revisits.

CONCLUSIONS

Croup quality improvement interventions were associated with a significant decrease in hospital admissions with no increase in revisits.

Short Report: Evaluating the Effects of Automated Donor Referral Technology on Deceased Donor Referrals

Automation of deceased donor referrals with standardized clinical triggers allows organ procurement organizations to be rapidly aware of medically eligible potential donors without the need for manual reporting and subjective decision-making of otherwise very busy hospital staff. In October 2018, 3 Texas hospitals (pilot hospitals) began using an automated referral system; our goal was to evaluate the impact of this system on eligible donor referral.

Methods

We studied ventilated referrals (n = 28 034) in a single organ procurement organization from January 2015 to March 2021. We estimated the change in referral rate in the 3 pilot hospitals due to the automated referral system using a difference-in-differences analysis with Poisson regression.

Results

Ventilated referrals from the pilot hospitals increased from mean 11.7 per month pre-October 2018 to 26.7 per month post-October 2018. The difference-in-differences analysis estimated that automated referral was associated with a 45% increase in referrals (adjusted incidence rate ratio [aIRR] = _1.30 1.45 _1.62), an 83% increase in approaches for authorization (aIRR = _1.34 1.83 _2.48), a 73% increase in authorizations (aIRR = _1.18 1.73 _2.55), and a 92% increase in organ donors (aIRR = _1.13 1.92 _3.09).

Conclusions

Following deployment of an automated referral system that did not require any actions by the referring hospital, referrals, authorizations, and organ donors increased substantially in the 3 pilot hospitals. Broader deployment of automated referral systems may lead to increases in the deceased donor pool.

Implementation of Electronic Clinical Decision Support Tools for Antibiotic Stewardship in Pediatric Appendicitis

BACKGROUND

The efficacy of clinical decision support (CDS) tools to promote antibiotic stewardship in pediatric appendicitis remains poorly understood. Here, we developed an electronic order panel (OP) to assist with decreased utilization of extended spectrum antibiotics.

METHODS

Retrospective review of patients (≤18 years) at a single institution from May 2018 to October 2019 treated with ≥1 dose of preferred (narrow) or nonpreferred (broad-spectrum) antibiotics was performed, and they were categorized as pre- (PIC) or postimplementation cohorts (PISC).

RESULTS

Of 234 encounters, 170 (73%) and 107 (46%) received preferred and nonpreferred antibiotics, respectively. Postimplementation cohort encounters had a sustained 50% increase in preferred antibiotic use compared to PIC (92% vs 42%, P = .014). Order panel utilization accounted for 31% of overall encounters and 44% of PISC encounters.

CONCLUSION

Despite sustained improvement in antibiotic stewardship, OP utilization remains low. The use of CDS tools may not be a good process measure for quality improvement.

Effect of Clinical Decision Support on Diagnostic Imaging for Pediatric Appendicitis: A Cluster Randomized Trial

IMPORTANCE

Appendicitis is the most common pediatric surgical emergency. Efforts to improve efficiency and quality of care have increased reliance on computed tomography (CT) and ultrasonography (US) in children with suspected appendicitis.

OBJECTIVE

To evaluate the effectiveness of an electronic health record-linked clinical decision support intervention, AppyCDS, on diagnostic imaging, health care costs, and safety outcomes for patients with suspected appendicitis.

DESIGN, SETTING, AND PARTICIPANTS

In this parallel, cluster randomized trial, 17 community-based general emergency departments (EDs) in California, Minnesota, and Wisconsin were randomized to the AppyCDS intervention group or usual care (UC) group. Patients were aged 5 to 20 years, presenting for an ED visit with right-sided or diffuse abdominal pain lasting 5 days or less. We excluded pregnant patients, those with a prior appendectomy, those with selected comorbidities, and those with traumatic injuries. The trial was conducted from October 2016 to July 2019.

INTERVENTIONS

AppyCDS prompted data entry at the point of care to estimate appendicitis risk using the pediatric appendicitis risk calculator (pARC). Based on pARC estimates, AppyCDS recommended next steps in care.

MAIN OUTCOMES AND MEASURES

Primary outcomes were CT, US, or any imaging (CT or US) during the index ED visit. Safety outcomes were perforations, negative appendectomies, and missed appendicitis. Costs were a secondary outcome. Ratio of ratios (RORs) for primary and safety outcomes and differences by group in cost were used to evaluate effectiveness of the clinical decision support tool.

RESULTS

We enrolled 3161 patients at intervention EDs and 2779 patients at UC EDs. The mean age of patients was 11.9 (4.6) years and 2614 (44.0%) were boys or young men. RORs for CT (0.94; 95% CI, 0.75-1.19), US (0.98; 95% CI, 0.84-1.14), and any imaging (0.96; 95% CI, 0.86-1.07) did not differ by study group. In an exploratory analysis conducted in 1 health system, AppyCDS was associated with a reduction in any imaging (ROR, 0.82; 95% CI, 0.73- 0.93) for patients with pARC score of 15% or less and a reduction in CT (ROR, 0.58; 95% CI, 0.45-0.74) for patients with a pARC score of 16% to 50%. Perforations, negative appendectomies, and cases of missed appendicitis by study phase did not differ significantly by study group. Costs did not differ overall by study group.

CONCLUSIONS AND RELEVANCE

In this study, AppyCDS was not associated with overall reductions in diagnostic imaging; exploratory analysis revealed more appropriate use of imaging in patients with a low pARC score.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02633735.

An Administrative Data-based Surrogate Definition Identifies Children Evaluated Beyond Physical Examination for Suspected Appendicitis

Previous studies have reported on the evaluation of patients diagnosed with appendicitis. Very little is known about all patients evaluated for suspected appendicitis. Patients evaluated beyond physical examination with laboratory and imaging testing, then found not to have appendicitis, are more difficult to identify. Data readily available in administrative databases may be used to identify these patients.

Trends in Use of Advanced Imaging in Pediatric Emergency Departments, 2009-2018

Importance

There is increased awareness of radiation risks from computed tomography (CT) in pediatric patients. In emergency departments (EDs), evidence-based guidelines, improvements in imaging technology, and availability of nonradiating modalities have potentially reduced CT use.

Objective

To evaluate changes over time and hospital variation in advanced imaging use.

Design, Setting, and Participants

This cross-sectional study assessed 26 082 062 ED visits by children younger than 18 years from the Pediatric Health Information System administrative database from January 1, 2009, through December 31, 2018.

Exposures

Imaging.

Main Outcomes and Measures

The primary outcome was the change in CT, ultrasonography, and magnetic resonance imaging (MRI) rates from January 1, 2009, to December 31, 2018. Imaging for specific diagnoses was examined using all patient-refined diagnosis related groups. Secondary outcomes were hospital admission and 3-day ED revisit rates and ED length of stay.

Results

There were a total of 26 082 062 visits by 9 868 406 children (mean [SD] age, 5.59 [5.15] years; 13 842 567 [53.1%] male; 9 273 181 [35.6%] non-Hispanic white) to 32 US pediatric EDs during the 10-year study period, with 1 or more advanced imaging studies used in 1 919 283 encounters (7.4%). The proportion of ED encounters with any advanced imaging increased from 6.4% (95% CI, 6.2%-6.2%) in 2009 to 8.7% (95% CI, 8.7%-8.8%) in 2018. The proportion of ED encounters with CT decreased from 3.9% (95% CI, 3.9%-3.9%) to 2.9% (95% CI, 2.9%-3.0%) (P < .001 for trend), with ultrasonography increased from 2.5% (95% CI, 2.5%-2.6%) to 5.8% (95% CI, 5.8%-5.9%) (P < .001 for trend), and with MRI increased from 0.3% (95% CI, 0.3%-0.4%) to 0.6% (95% CI, 0.6%-0.6%) (P < .001 for trend). The largest decreases in CT rates were for concussion (-23.0%), appendectomy (-14.9%), ventricular shunt procedures (-13.3%), and headaches (-12.4%). Factors associated with increased use of nonradiating imaging modalities included ultrasonography for abdominal pain (20.3%) and appendectomy (42.5%) and MRI for ventricular shunt procedures (17.9%) (P < .001 for trend). Across the study period, EDs varied widely in the use of ultrasonography for appendectomy (median, 57.5%; interquartile range [IQR], 40.4%-69.8%) and MRI (median, 15.8%; IQR, 8.3%-35.1%) and CT (median, 69.5%; IQR, 54.5%-76.4%) for ventricular shunt procedures. Overall, ED length of stay did not change, and hospitalization and 3-day ED revisit rates decreased during the study period.

Conclusions and Relevance

This study found that use of advanced imaging increased from 2009 to 2018. Although CT use decreased, this decrease was accompanied by a greater increase in the use of ultrasonography and MRI. There appears to be substantial variation in practice and a need to standardize imaging practices.

Cost-effectiveness of Imaging Protocols for Suspected Appendicitis

BACKGROUND

Inaccurate diagnosis of appendicitis leads to increased costs and morbidity. Ultrasound costs less than computed tomography (CT) or MRI but has lower sensitivity and may not visualize the appendix.

METHODS

We conducted a cost-effectiveness analysis using a decision-analytic model of 10 imaging strategies for suspected appendicitis in a hypothetical cohort of patients: no imaging with discharge or surgery; CT only; MRI only; or staged approach with CT or MRI after 1) negative ultrasound result or ultrasound without appendix visualization, 2) ultrasound without appendix visualization, or 3) ultrasound without appendix visualization but with secondary signs of inflammation. Inputs were derived from published literature and secondary data (quality-of-life and cost data). Sensitivity analyses varied risk of appendicitis and proportion of visualized ultrasound. Outcomes were effectiveness (quality-adjusted life-years [QALYs]), total direct medical costs, and cost-effectiveness (cost per QALY gained).

RESULTS

The most cost-effective strategy for patients at moderate risk for appendicitis is initial ultrasound, followed by CT if the appendix is not visualized but secondary signs are present (cost of $4815.03; effectiveness of 0.99694 QALYs). Other strategies were well above standard willingness-to-pay thresholds or were more costly and less effective. Cost-effectiveness was sensitive to patients' risk of appendicitis but not the proportion of visualized appendices.

CONCLUSIONS

Tailored approaches to imaging based on patients' risk of appendicitis are the most cost-effective. Imaging is not cost-effective in patients with a probability <16% or >95%. For moderate-risk patients, ultrasound without secondary signs of inflammation is sufficient even without appendix visualization.

Validation of the Pediatric Appendicitis Risk Calculator (pARC) in a Community Emergency Department Setting

STUDY OBJECTIVE

The pediatric Appendicitis Risk Calculator (pARC) is a validated clinical tool for assessing a child's probability of appendicitis. Our objective was to assess the performance of the pARC in community emergency departments (EDs) and to compare its performance with that of the Pediatric Appendicitis Score (PAS).

METHODS

We conducted a prospective validation study from October 1, 2016, to April 30, 2018, in 11 community EDs serving general populations. Patients aged 5 to 20.9 years and with a chief complaint of abdominal pain and less than or equal to 5 days of right-sided or diffuse abdominal pain were eligible for study enrollment. Our primary outcome was the presence or absence of appendicitis within 7 days of the index visit. We reported performance characteristics and secondary outcomes by pARC risk strata and compared the receiver operator characteristic (ROC) curves of the PAS and pARC.

RESULTS

We enrolled 2,089 patients with a mean age of 12.4 years, 46% of whom were male patients. Appendicitis was confirmed in 353 patients (16.9%), of whom 55 (15.6%) had perforated appendixes. Fifty-four percent of patients had very low (<5%) or low (5% to 14%) predicted risk, 43% had intermediate risk (15% to 84%), and 4% had high risk (≥85%). In the very-low- and low-risk groups, 1.4% and 3.0% of patients had appendicitis, respectively. The area under the ROC curve was 0.89 (95% confidence interval 0.87 to 0.92) for the pARC compared with 0.80 (95% confidence interval 0.77 to 0.82) for the PAS.

CONCLUSION

The pARC accurately assessed appendicitis risk for children aged 5 years and older in community EDs and the pARC outperformed the PAS.

Scope and Influence of Electronic Health Record-Integrated Clinical Decision Support in the Emergency Department: A Systematic Review

STUDY OBJECTIVE

As electronic health records evolve, integration of computerized clinical decision support offers the promise of sorting, collecting, and presenting this information to improve patient care. We conducted a systematic review to examine the scope and influence of electronic health record-integrated clinical decision support technologies implemented in the emergency department (ED).

METHODS

A literature search was conducted in 4 databases from their inception through January 18, 2018: PubMed, Scopus, the Cumulative Index of Nursing and Allied Health, and Cochrane Central. Studies were included if they examined the effect of a decision support intervention that was implemented in a comprehensive electronic health record in the ED setting. Standardized data collection forms were developed and used to abstract study information and assess risk of bias.

RESULTS

A total of 2,558 potential studies were identified after removal of duplicates. Of these, 42 met inclusion criteria. Common targets for clinical decision support intervention included medication and radiology ordering practices, as well as more comprehensive systems supporting diagnosis and treatment for specific disease entities. The majority of studies (83%) reported positive effects on outcomes studied. Most studies (76%) used a pre-post experimental design, with only 3 (7%) randomized controlled trials.

CONCLUSION

Numerous studies suggest that clinical decision support interventions are effective in changing physician practice with respect to process outcomes such as guideline adherence; however, many studies are small and poorly controlled. Future studies should consider the inclusion of more specific information in regard to design choices, attempt to improve on uncontrolled before-after designs, and focus on clinically relevant outcomes wherever possible.

Recent Advances in Technology and Its Applications to Pediatric Emergency Care

Advances in technology are continuously transforming medical care, including pediatric emergency medicine. The increasing adoption of point-of-care ultrasound examination can improve timely diagnoses without radiation and aids the performance of common procedures. The recent dramatic increase in electronic health record adoption offers an opportunity for enhanced clinical decision-making support. Simulation training and advances in technologies can provide continued proficiency training despite decreasing opportunities for pediatric procedures and cardiorespiratory resuscitation performance. This article reviews these and other recent advances in technology that have had the greatest impact on the current practice of pediatric emergency medicine.

Economic Analysis of Diagnostic Imaging in Pediatric Patients With Suspected Appendicitis

OBJECTIVE

The use of computed tomography (CT) and ultrasound (US) in patients with acute abdominal pain has substantial variation across pediatric emergency departments (EDs). This study compares the cost of diagnosing and treating suspected appendicitis across a multicenter network of children's hospitals.

METHODS

This study is a secondary analysis using deidentified data of a prospective, observational study of patients with suspected appendicitis at nine pediatric EDs. The study included patients 3 to 18 years old who presented to the ED with acute abdominal pain of <96 hours' duration.

RESULTS

Our data set contained 2,300 cases across nine sites. There was an appendicitis rate of 31.8% and perforation rate of 25.7%. Sites correctly diagnosed appendicitis in over 95% of cases. The negative appendicitis rate ranged from 2.5% to 4.7% while the missed appendicitis rate ranged from 0.3% to 1.1% with no significant differences in these rates across site. Across sites, we found a strong positive correlation (0.95) between CT rate and total cost per case and a strong negative correlation (-0.71) between US rate and cost. The cost per case at US sites was 5.2% ($367) less than at CT sites (p < 0.001). Similarly, costs per case at mixed sites were 3.4% ($244) less than at CT sites (p < 0.001). Comparing costs among CT sites or among US sites, the cost per case generally increased as the images per case increased among both CT sites and US sites, but the costs were universally higher at CT sites.

CONCLUSIONS

Our results provide support for US as the primary imaging modality for appendicitis. Sites that preferentially utilized US had lower costs per case than sites that primarily used CT. Imaging rates across sites varied due to practice patterns and resulted in a significant cost consequence without higher rates for negative appendectomies or missed appendicitis cases.

Development and Validation of a Novel Pediatric Appendicitis Risk Calculator (pARC)

OBJECTIVES

We sought to develop and validate a clinical calculator that can be used to quantify risk for appendicitis on a continuous scale for patients with acute abdominal pain.

METHODS

The pediatric appendicitis risk calculator (pARC) was developed and validated through secondary analyses of 3 distinct cohorts. The derivation sample included visits to 9 pediatric emergency departments between March 2009 and April 2010. The validation sample included visits to a single pediatric emergency department from 2003 to 2004 and 2013 to 2015. Variables evaluated were as follows: age, sex, temperature, nausea and/or vomiting, pain duration, pain location, pain with walking, pain migration, guarding, white blood cell count, and absolute neutrophil count. We used stepwise regression to develop and select the best model. Test performance of the pARC was compared with the Pediatric Appendicitis Score (PAS).

RESULTS

The derivation sample included 2423 children, 40% of whom had appendicitis. The validation sample included 1426 children, 35% of whom had appendicitis. The final pARC model included the following variables: sex, age, duration of pain, guarding, pain migration, maximal tenderness in the right-lower quadrant, and absolute neutrophil count. In the validation sample, the pARC exhibited near perfect calibration and a high degree of discrimination (area under the curve: 0.85; 95% confidence interval: 0.83 to 0.87) and outperformed the PAS (area under the curve: 0.77; 95% confidence interval: 0.75 to 0.80). By using the pARC, almost half of patients in the validation cohort could be accurately classified as at <15% risk or ≥85% risk for appendicitis, whereas only 23% would be identified as having a comparable PAS of <3 or >8.

CONCLUSIONS

In our validation cohort of patients with acute abdominal pain, the pARC accurately quantified risk for appendicitis.

Improved Time to Notification of Impending Brain Death and Increased Organ Donation Using an Electronic Clinical Decision Support System

Early referral of patients to an organ procurement organization (OPO) may positively affect donation outcomes. We implemented an electronic clinic decision support (CDS) system to automatically notify our OPO of children meeting clinical triggers indicating impending brain death. Medical records of all patients who died in a pediatric critical care unit or were referred for imminent death for 3 years prior to installation of the initial CDS (pre-CDS) and for 1 year after implementation of the final CDS (post-CDS) were reviewed. Mean time to OPO notification decreased from 30.2 h pre-CDS to 1.7 h post-CDS (p = 0.015). Notification within 1 h of meeting criteria increased from 36% pre-CDS to 70% post-CDS (p = 0.003). Although an increase in donor conversion from 50% pre-CDS to 90% post-CDS did not reach statistical significance (p = 0.0743), there were more organ donors post-CDS (11 of 24 deaths) than pre-CDS (seven of 57 deaths; p = 0.002). Positive outcomes were achieved with the use of a fully automated CDS system while simultaneously realizing few false-positive notifications, low costs, and minimal workflow interruption. Use of an electronic CDS system in a pediatric hospital setting improved timely OPO notification and was associated with increased organ donation.

Factors associated with failure of emergency wait-time targets for high acuity discharges and intensive care unit admissions

Objective

Ontario established emergency department length-of-stay (EDLOS) targets but has difficulty achieving them. We sought to determine predictors of target time failure for discharged high acuity patients and intensive care unit (ICU) admissions.

Methods

This was a retrospective, observational study of 2012 Sunnybrook Hospital emergency department data. The main outcome measure was failing to meet government EDLOS targets for high acuity discharges and ICU emergency admissions. The secondary outcome measures examined factors for low acuity discharges and all admissions, as well as a run chart for 2015 – 2016 ICU admissions. Multiple logistic regression models were created for admissions, ICU admissions, and low and high acuity discharges. Predictor variables were at the patient level from emergency department registries.

Results

For discharged high acuity patients, factors predicting EDLOS target failure were having physician initial assessment duration (PIAD)>2 hours (OR 5.63 [5.22-6.06]), consultation request (OR 10.23 [9.38-11.14]), magnetic resonance imaging (MRI) (OR 19.33 [12.94-28.87]), computed tomography (CT) (OR 4.24 [3.92-4.59]), and ultrasound (US) (OR 3.47 [3.13-3.83]). For ICU admissions, factors predicting EDLOS target failure were bed request duration (BRD)>6 hours (OR 364.27 [43.20-3071.30]) and access block (AB)>1 hour (OR 217.27 [30.62-1541.63]). For discharged low acuity patients, factors predicting failure for the 4-hour target were PIAD>2 hours (OR 15.80 [13.35-18.71]), consultation (OR 20.98 [14.10-31.22]), MRI (OR 31.68 [6.03-166.54]), CT (OR 16.48 [10.07-26.98]), and troponin I (OR 13.37 [6.30-28.37]).

Conclusion

Sunnybrook factors predicting failure of targets for high acuity discharges and ICU admissions were hospital-controlled. Hospitals should individualize their approach to shortening EDLOS by analysing its patient population and resource demands.

A Clinical Score to Predict Appendicitis in Older Male Children

OBJECTIVE

To develop a clinical score to predict appendicitis among older, male children who present to the emergency department with suspected appendicitis.

METHODS

Patients with suspected appendicitis were prospectively enrolled at 9 pediatric emergency departments. A total of 2625 patients enrolled; a subset of 961 male patients, age 8-18 were analyzed in this secondary analysis. Outcomes were determined using pathology, operative reports, and follow-up calls. Clinical and laboratory predictors with <10% missing data and kappa > 0.4 were entered into a multivariable model. Resultant β-coefficients were used to develop a clinical score. Test performance was assessed by calculating the sensitivity, specificity, positive predictive value, negative predictive value, and likelihood ratios.

RESULTS

The mean age was 12.2 years; 49.9% (480) had appendicitis, 22.3% (107) had perforation, and the negative appendectomy rate was 3%. In patients with and without appendicitis, overall imaging rates were 68.6% (329) and 84.4% (406), respectively. Variables retained in the model included maximum tenderness in the right lower quadrant, pain with walking/coughing or hopping, and the absolute neutrophil count. A score ≥8.1 had a sensitivity of 25% (95% confidence interval [CI], 20%-29%), specificity of 98% (95% CI, 96%-99%), and positive predictive value of 93% (95% CI, 86%-97%) for ruling in appendicitis.

CONCLUSIONS

We developed an accurate scoring system for predicting appendicitis in older boys. If validated, the score might allow clinicians to manage a proportion of male patients without diagnostic imaging.