Association of clinical practice guidelines with emergency department management of febrile infants ≤56 days of age.

2015

358-65

06/2015

1553-5606

BACKGROUND: Differences among febrile infant institutional clinical practice guidelines (CPGs) may contribute to practice variation and increased healthcare costs.

OBJECTIVE: Determine the association between pediatric emergency department (ED) CPGs and laboratory testing, hospitalization, ceftriaxone use, and costs in febrile infants.

DESIGN: Retrospective cross-sectional study in 2013.

SETTING: Thirty-three hospitals in the Pediatric Health Information System.

PATIENTS: Infants aged ≤56 days with a diagnosis of fever.

EXPOSURES: The presence and content of ED-based febrile infant CPGs assessed by electronic survey.

MEASUREMENTS: Using generalized estimating equations, we evaluated the association between CPG recommendations and rates of urine, blood, cerebrospinal fluid (CSF) testing, hospitalization, and ceftriaxone use at ED discharge in 2 age groups: ≤28 days and 29 to 56 days. We also assessed CPG impact on healthcare costs.

RESULTS: We included 9377 ED visits; 21 of 33 EDs (63.6%) had a CPG. For neonates ≤28 days, CPG recommendations did not vary and were not associated with differences in testing, hospitalization, or costs. Among infants 29 to 56 days, CPG recommendations for CSF testing and ceftriaxone use varied. CSF testing occurred less often at EDs with CPGs recommending limited testing compared to hospitals without CPGs (adjusted odds ratio: 0.5, 95% confidence interval: 0.3-0.8). Ceftriaxone use at ED discharge varied significantly based on CPG recommendations. Costs were higher for admitted and discharged infants 29 to 56 days old at hospitals with CPGs.

CONCLUSIONS: CPG recommendations for febrile infants 29 to 56 days old vary across institutions for CSF testing and ceftriaxone use, correlating with observed practice variation. CPGs were not associated with lower healthcare costs.

10.1002/jhm.2329

J Hosp Med

25684689

Racial/Ethnic Differences in Pediatric Emergency Department Wait Times.

2021

2021 Jun 15

1535-1815

<p><strong>OBJECTIVES: </strong>Wait time for emergency care is a quality measure that affects clinical outcomes and patient satisfaction. It is unknown if there is racial/ethnic variability in this quality measure in pediatric emergency departments (PEDs). We aim to determine whether racial/ethnic differences exist in wait times for children presenting to PEDs and examine between-site and within-site differences.</p>

<p><strong>METHODS: </strong>We conducted a retrospective cohort study for PED encounters in 2016 using the Pediatric Emergency Care Applied Research Network Registry, an aggregated deidentified electronic health registry comprising 7 PEDs. Patient encounters were included among all patients 18 years or younger at the time of the ED visit. We evaluated differences in emergency department wait time (time from arrival to first medical evaluation) considering patient race/ethnicity as the exposure.</p>

<p><strong>RESULTS: </strong>Of 448,563 visits, median wait time was 35 minutes (interquartile range, 17-71 minutes). Compared with non-Hispanic White (NHW) children, non-Hispanic Black (NHB), Hispanic, and other race children waited 27%, 33%, and 12% longer, respectively. These differences were attenuated after adjusting for triage acuity level, mode of arrival, sex, age, insurance, time of day, and month [adjusted median wait time ratios (95% confidence intervals): 1.11 (1.10-1.12) for NHB, 1.12 (1.11-1.13) for Hispanic, and 1.05 (1.03-1.06) for other race children compared with NHW children]. Differences in wait time for NHB and other race children were no longer significant after adjusting for clinical site. Fully adjusted median wait times among Hispanic children were longer compared with NHW children [1.04 (1.03-1.05)].</p>

<p><strong>CONCLUSIONS: </strong>In unadjusted analyses, non-White children experienced longer PED wait times than NHW children. After adjusting for illness severity, patient demographics, and overcrowding measures, wait times for NHB and other race children were largely determined by site of care. Hispanic children experienced longer within-site and between-site wait times compared with NHW children. Additional research is needed to understand structures and processes of care contributing to wait time differences between sites that disproportionately impact non-White patients.</p>

10.1097/PEC.0000000000002483

Pediatr Emerg Care

34140453

Opioid Prescription Patterns at Emergency Department Discharge for Children with Fractures.

2020

2020 Feb 05

1526-4637

<p><strong>OBJECTIVE: </strong>To measure the variability in discharge opioid prescription practices for children discharged from the emergency department (ED) with a long-bone fracture.</p>

<p><strong>DESIGN: </strong>A retrospective cohort study of pediatric ED visits in 2015.</p>

<p><strong>SETTING: </strong>Four pediatric EDs.</p>

<p><strong>SUBJECTS: </strong>Children aged four to 18 years with a long-bone fracture discharged from the ED.</p>

<p><strong>METHODS: </strong>A multisite registry of electronic health record data (PECARN Registry) was analyzed to determine the proportion of children receiving an opioid prescription on ED discharge. Multivariable logistic regression was performed to determine characteristics associated with receipt of an opioid prescription.</p>

<p><strong>RESULTS: </strong>There were 5,916 visits with long-bone fractures; 79% involved the upper extremity, and 27% required reduction. Overall, 15% of children were prescribed an opioid at discharge, with variation between the four EDs: A = 8.2% (95% confidence interval [CI] = 6.9-9.7%), B = 12.1% (95% CI = 10.5-14.0%), C = 16.9% (95% CI = 15.2-18.8%), D = 23.8% (95% CI = 21.7-26.1%). Oxycodone was the most frequently prescribed opioid. In the regression analysis, in addition to variation by ED site of care, age 12-18 years, white non-Hispanic, private insurance status, reduced fracture, and severe pain documented during the ED visit were associated with increased opioid prescribing.</p>

<p><strong>CONCLUSIONS: </strong>For children with a long-bone fracture, discharge opioid prescription varied widely by ED site of care. In addition, black patients, Hispanic patients, and patients with government insurance were less likely to be prescribed opioids. This variability in opioid prescribing was not accounted for by patient- or injury-related factors that are associated with increased pain. Therefore, opioid prescribing may be modifiable, but evidence to support improved outcomes with specific treatment regimens is lacking.</p>

10.1093/pm/pnz348

Pain Med

32022894

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

2018

2018 Dec 22

1097-6760

<p><strong>STUDY OBJECTIVE: </strong>To determine the effect of providing risk estimates of clinically important traumatic brain injuries and management recommendations on emergency department (ED) outcomes for children with isolated intermediate Pediatric Emergency Care Applied Research Network clinically important traumatic brain injury risk factors.</p>

<p><strong>METHODS: </strong>This was a secondary analysis of a nonrandomized clinical trial with concurrent controls, conducted at 5 pediatric and 8 general EDs between November 2011 and June 2014, enrolling patients younger than 18 years who had minor blunt head trauma. After a baseline period, intervention sites received electronic clinical decision support providing patient-level clinically important traumatic brain injury risk estimates and management recommendations. The following primary outcomes in patients with one intermediate Pediatric Emergency Care Applied Research Network risk factor were compared before and after clinical decision support: proportion of ED computed tomography (CT) scans, adjusted for age, time trend, and site; and prevalence of clinically important traumatic brain injuries.</p>

<p><strong>RESULTS: </strong>The risk of clinically important traumatic brain injuries was known for 3,859 children with isolated findings (1,711 at intervention sites before clinical decision support, 1,702 at intervention sites after clinical decision support, and 446 at control sites). In this group, pooled CT proportion decreased from 24.2% to 21.6% after clinical decision support (odds ratio 0.86; 95% confidence interval 0.73 to 1.01). Decreases in CT use were noted across intervention EDs, but not in controls. The pooled adjusted odds ratio for CT use after clinical decision support was 0.73 (95% confidence interval 0.60 to 0.88). Among the entire cohort, clinically important traumatic brain injury was diagnosed at the index ED visit for 37 of 37 (100%) patients before clinical decision support and 32 of 33 patients (97.0%) after clinical decision support.</p>

<p><strong>CONCLUSION: </strong>Providing specific risks of clinically important traumatic brain injury through electronic clinical decision support was associated with a modest and safe decrease in ED CT use for children at nonnegligible risk of clinically important traumatic brain injuries.</p>

10.1016/j.annemergmed.2018.11.011

Ann Emerg Med

30583957

The Pediatric Emergency Care Applied Research Network Registry: A Multicenter Electronic Health Record Registry of Pediatric Emergency Care.

2018

366-376

2018 Apr

1869-0327

<p><strong>BACKGROUND: </strong> Electronic health record (EHR)-based registries allow for robust data to be derived directly from the patient clinical record and can provide important information about processes of care delivery and patient health outcomes.</p>

<p><strong>METHODS: </strong> A data dictionary, and subsequent data model, were developed describing EHR data sources to include all processes of care within the emergency department (ED). ED visit data were deidentified and XML files were created and submitted to a central data coordinating center for inclusion in the registry. Automated data quality control occurred prior to submission through an application created for this project. Data quality reports were created for manual data quality review.</p>

<p><strong>RESULTS: </strong> The Pediatric Emergency Care Applied Research Network (PECARN) Registry, representing four hospital systems and seven EDs, demonstrates that ED data from disparate health systems and EHR vendors can be harmonized for use in a single registry with a common data model. The current PECARN Registry represents data from 2,019,461 pediatric ED visits, 894,503 distinct patients, more than 12.5 million narrative reports, and 12,469,754 laboratory tests and continues to accrue data monthly.</p>

<p><strong>CONCLUSION: </strong> The Registry is a robust harmonized clinical registry that includes data from diverse patients, sites, and EHR vendors derived via data extraction, deidentification, and secure submission to a central data coordinating center. The data provided may be used for benchmarking, clinical quality improvement, and comparative effectiveness research.</p>

10.1055/s-0038-1651496

Appl Clin Inform

29791930

Racial and Ethnic Differences in Antibiotic Use for Viral Illness in Emergency Departments.

2017

2017 Oct

1098-4275

<p><strong>BACKGROUND AND OBJECTIVES: </strong>In the primary care setting, there are racial and ethnic differences in antibiotic prescribing for acute respiratory tract infections (ARTIs). Viral ARTIs are commonly diagnosed in the pediatric emergency department (PED), in which racial and ethnic differences in antibiotic prescribing have not been previously reported. We sought to investigate whether patient race and ethnicity was associated with differences in antibiotic prescribing for viral ARTIs in the PED.</p>

<p><strong>METHODS: </strong>This is a retrospective cohort study of encounters at 7 PEDs in 2013, in which we used electronic health data from the Pediatric Emergency Care Applied Research Network Registry. Multivariable logistic regression was used to examine the association between patient race and ethnicity and antibiotics administered or prescribed among children discharged from the hospital with viral ARTI. Children with bacterial codiagnoses, chronic disease, or who were immunocompromised were excluded. Covariates included age, sex, insurance, triage level, provider type, emergency department type, and emergency department site.</p>

<p><strong>RESULTS: </strong>Of 39 445 PED encounters for viral ARTIs that met inclusion criteria, 2.6% (95% confidence interval [CI] 2.4%-2.8%) received antibiotics, including 4.3% of non-Hispanic (NH) white, 1.9% of NH black, 2.6% of Hispanic, and 2.9% of other NH children. In multivariable analyses, NH black (adjusted odds ratio [aOR] 0.44; CI 0.36-0.53), Hispanic (aOR 0.65; CI 0.53-0.81), and other NH (aOR 0.68; CI 0.52-0.87) children remained less likely to receive antibiotics for viral ARTIs.</p>

<p><strong>CONCLUSIONS: </strong>Compared with NH white children, NH black and Hispanic children were less likely to receive antibiotics for viral ARTIs in the PED. Future research should seek to understand why racial and ethnic differences in overprescribing exist, including parental expectations, provider perceptions of parental expectations, and implicit provider bias.</p>

10.1542/peds.2017-0203

Pediatrics

28872046

Use of Traumatic Brain Injury Prediction Rules With Clinical Decision Support.

2017

2017 Mar 24

1098-4275

<p><strong>OBJECTIVES: </strong>We determined whether implementing the Pediatric Emergency Care Applied Research Network (PECARN) traumatic brain injury (TBI) prediction rules and providing risks of clinically important TBIs (ciTBIs) with computerized clinical decision support (CDS) reduces computed tomography (CT) use for children with minor head trauma.</p>

<p><strong>METHODS: </strong>Nonrandomized trial with concurrent controls at 5 pediatric emergency departments (PEDs) and 8 general EDs (GEDs) between November 2011 and June 2014. Patients were &lt;18 years old with minor blunt head trauma. Intervention sites received CDS with CT recommendations and risks of ciTBI, both for patients at very low risk of ciTBI (no Pediatric Emergency Care Applied Research Network rule factors) and those not at very low risk. The primary outcome was the rate of CT, analyzed by site, controlling for time trend.</p>

<p><strong>RESULTS: </strong>We analyzed 16 635 intervention and 2394 control patients. Adjusted for time trends, CT rates decreased significantly (P &lt; .05) but modestly (2.3%-3.7%) at 2 of 4 intervention PEDs for children at very low risk. The other 2 PEDs had small (0.8%-1.5%) nonsignificant decreases. CT rates did not decrease consistently at the intervention GEDs, with low baseline CT rates (2.1%-4.0%) in those at very low risk. The control PED had little change in CT use in similar children (from 1.6% to 2.9%); the control GED showed a decrease in the CT rate (from 7.1% to 2.6%). For all children with minor head trauma, intervention sites had small decreases in CT rates (1.7%-6.2%).</p>

<p><strong>CONCLUSIONS: </strong>The implementation of TBI prediction rules and provision of risks of ciTBIs by using CDS was associated with modest, safe, but variable decreases in CT use. However, some secular trends were also noted.</p>

10.1542/peds.2016-2709

Pediatrics

28341799

Development, Evaluation and Implementation of Chief Complaint Groupings to Activate Data Collection: A Multi-Center Study of Clinical Decision Support for Children with Head Trauma.

2015

521-35

2015

1869-0327

<p><strong>BACKGROUND: </strong>Overuse of cranial computed tomography scans in children with blunt head trauma unnecessarily exposes them to radiation. The Pediatric Emergency Care Applied Research Network (PECARN) blunt head trauma prediction rules identify children who do not require a computed tomography scan. Electronic health record (EHR) based clinical decision support (CDS) may effectively implement these rules but must only be provided for appropriate patients in order to minimize excessive alerts.</p>

<p><strong>OBJECTIVES: </strong>To develop, implement and evaluate site-specific groupings of chief complaints (CC) that accurately identify children with head trauma, in order to activate data collection in an EHR.</p>

<p><strong>METHODS: </strong>As part of a 13 site clinical trial comparing cranial computed tomography use before and after implementation of CDS, four PECARN sites centrally developed and locally implemented CC groupings to trigger a clinical trial alert (CTA) to facilitate the completion of an emergency department head trauma data collection template. We tested and chose CC groupings to attain high sensitivity while maintaining at least moderate specificity.</p>

<p><strong>RESULTS: </strong>Due to variability in CCs available, identical groupings across sites were not possible. We noted substantial variability in the sensitivity and specificity of seemingly similar CC groupings between sites. The implemented CC groupings had sensitivities greater than 90% with specificities between 75-89%. During the trial, formal testing and provider feedback led to tailoring of the CC groupings at some sites.</p>

<p><strong>CONCLUSIONS: </strong>CC groupings can be successfully developed and implemented across multiple sites to accurately identify patients who should have a CTA triggered to facilitate EHR data collection. However, CC groupings will necessarily vary in order to attain high sensitivity and moderate-to-high specificity. In future trials, the balance between sensitivity and specificity should be considered based on the nature of the clinical condition, including prevalence and morbidity, in addition to the goals of the intervention being considered.</p>

10.4338/ACI-2015-02-RA-0019

Appl Clin Inform

26448796

Clinical Decision Support for a Multicenter Trial of Pediatric Head Trauma: Development, Implementation, and Lessons Learned.

2016

534-42

2016

1869-0327

<p><strong>INTRODUCTION: </strong>For children who present to emergency departments (EDs) due to blunt head trauma, ED clinicians must decide who requires computed tomography (CT) scanning to evaluate for traumatic brain injury (TBI). The Pediatric Emergency Care Applied Research Network (PECARN) derived and validated two age-based prediction rules to identify children at very low risk of clinically-important traumatic brain injuries (ciTBIs) who do not typically require CT scans. In this case report, we describe the strategy used to implement the PECARN TBI prediction rules via electronic health record (EHR) clinical decision support (CDS) as the intervention in a multicenter clinical trial.</p>

<p><strong>METHODS: </strong>Thirteen EDs participated in this trial. The 10 sites receiving the CDS intervention used the Epic(®) EHR. All sites implementing EHR-based CDS built the rules by using the vendor's CDS engine. Based on a sociotechnical analysis, we designed the CDS so that recommendations could be displayed immediately after any provider entered prediction rule data. One central site developed and tested the intervention package to be exported to other sites. The intervention package included a clinical trial alert, an electronic data collection form, the CDS rules and the format for recommendations.</p>

<p><strong>RESULTS: </strong>The original PECARN head trauma prediction rules were derived from physician documentation while this pragmatic trial led each site to customize their workflows and allow multiple different providers to complete the head trauma assessments. These differences in workflows led to varying completion rates across sites as well as differences in the types of providers completing the electronic data form. Site variation in internal change management processes made it challenging to maintain the same rigor across all sites. This led to downstream effects when data reports were developed.</p>

<p><strong>CONCLUSIONS: </strong>The process of a centralized build and export of a CDS system in one commercial EHR system successfully supported a multicenter clinical trial.</p>

10.4338/ACI-2015-10-CR-0144

Appl Clin Inform

27437059

Shared decision making and behavioral impairment: a national study among children with special health care needs.

2012

153

2012 Sep

1471-2431

<p><strong>BACKGROUND: </strong>The Institute of Medicine has prioritized shared decision making (SDM), yet little is known about the impact of SDM over time on behavioral outcomes for children. This study examined the longitudinal association of SDM with behavioral impairment among children with special health care needs (CSHCN).</p>

<p><strong>METHOD: </strong>CSHCN aged 5-17 years in the 2002-2006 Medical Expenditure Panel Survey were followed for 2 years. The validated Columbia Impairment Scale measured impairment. SDM was measured with 7 items addressing the 4 components of SDM. The main exposures were (1) the mean level of SDM across the 2 study years and (2) the change in SDM over the 2 years. Using linear regression, we measured the association of SDM and behavioral impairment.</p>

<p><strong>RESULTS: </strong>Among 2,454 subjects representing 10.2 million CSHCN, SDM increased among 37% of the population, decreased among 36% and remained unchanged among 27%. For CSHCN impaired at baseline, the change in SDM was significant with each 1-point increase in SDM over time associated with a 2-point decrease in impairment (95% CI: 0.5, 3.4), whereas the mean level of SDM was not associated with impairment. In contrast, among those below the impairment threshold, the mean level of SDM was significant with each one point increase in the mean level of SDM associated with a 1.1-point decrease in impairment (0.4, 1.7), but the change was not associated with impairment.</p>

<p><strong>CONCLUSION: </strong>Although the change in SDM may be more important for children with behavioral impairment and the mean level over time for those below the impairment threshold, results suggest that both the change in SDM and the mean level may impact behavioral health for CSHCN.</p>

10.1186/1471-2431-12-153

BMC Pediatr

22998626