Creation and validation of a citywide pediatric asthma registry for the District of Columbia.

OBJECTIVE: To create and validate a citywide pediatric Asthma Registry to improve the care and outcomes of children and adolescents in Washington, DC through data-driven quality improvement (QI). METHODS: All available electronic health record data from inpatient and outpatient domains of Children's National Hospital were aggregated from an existing enterprise data warehouse. Inclusion criteria included asthma relevant ICD-10 codes over the prior 24 months. Available Asthma Registry measures include patient demographics, ambulatory visits, hospital admissions, persistent asthma diagnoses, and prescription of controller medications. Data capture was validated using US Census data and current asthma prevalence estimate of the Behavioral Risk Factor Surveillance System (BRFSS). RESULTS: The registry identified 15,991 DC children and adolescents with asthma aged 0-17 years, inclusive, at the end of 2020. This was 14.2% higher than the estimate of 14,001 children derived from BRFSS. Characteristics of those in the registry included: mean age of 9.5 (1.4) years, 57.9% male, 72.3% Black, and 66.7% publicly insured. Over the prior 24 months, 30.3% had ≥1 emergency department visit, and 10.5% had ≥1 hospital admission. Controller medications were prescribed for 59.6% of children with persistent asthma. Rates varied by sampled primary care practice sites. CONCLUSIONS: A population-level pediatric asthma registry captures more children and adolescents with asthma in DC then a BRFSS-derived estimate, and provides city-wide measures of asthma-related utilization. The registry allows for stratification by primary care practice locations and asthma characteristics, supporting the design, implementation, and evaluation of QI projects at the practice, health system, and population levels.Supplemental data for this article can be accessed at publisher's website.

Caregiver Language Preference and Health Care Utilization Among Children With Asthma.

BACKGROUND AND OBJECTIVES: Asthma is a leading cause of health care utilization in children and disproportionately affects historically marginalized populations. Yet, limited data exist on the role of caregiver language preference on asthma morbidity. The study aim was to determine whether caregiver non-English language preference (NELP) is associated with unscheduled asthma-related health care utilization in pediatric patients. METHODS: This was a retrospective cohort study using data from a population-level, disease-specific registry of pediatric patients with asthma living in the District of Columbia (DC). Patients aged 2 to 17 years were included and the study period was 2019. The primary exposure variable was language preference: English preferred (EP) or NELP by self-identified language preference. The primary outcome was unscheduled asthma-related health care utilization including emergency department visits, hospitalizations (ICU and non-ICU), and ICU visits alone. Logistic regression was used to calculate adjusted odds ratios (aORs). RESULTS: Of the 14 431 patients included, 8.1% had NELP (1172 patients). In analyses adjusted for age, sex, ethnicity, insurance status, diagnosis of persistent asthma, controller prescription, and encounter with a primary care provider, caregiver NELP was associated with an increased odds of having an asthma-related emergency department visit (aOR, 1.37; 95% CI, 1.08-1.74), hospitalization (aOR, 1.79; 95% CI, 1.18-2.72), and ICU visit (aOR, 4.37; 95% CI, 1.93-9.92). In the Hispanic subgroup (n = 1555), caregiver NELP was associated with an increased odds of having an asthma-related hospitalization (aOR, 1.73; 95% CI, 1.02-2.93). CONCLUSIONS: In the population of children in the District of Columbia with asthma, caregiver NELP was associated with increased odds of asthma-related health care utilization, suggesting that caregiver language preference is a significant determinant of asthma outcomes.

A Customized Triggers Program: A Children's Hospital's Experience in Improving Trigger Usability.

BACKGROUND: Despite the growth of patient safety programs across the United States, errors and adverse events remain a source of patient harm. Many hospitals rely on retrospective voluntary reporting systems; however, there are opportunities to improve patient safety using novel tools like trigger programs. METHODS: Children's National Hospital developed a unique pediatric triggers program that offers customized, near real-time reports of potential safety events. Our team defined a measure to quantify clinical utility of triggers, termed "trigger signal," as the percentage of cases that represent true adverse or near-miss events (numerator) per total triggers activated (denominator). Our key driver diagram focused on unifying the program structure, increasing data analytics, promoting organizational awareness, and supporting multidisciplinary end user engagement. Using the model for improvement, we aimed to double overall trigger signal from 8% to 16% and sustain for 12 months. RESULTS: The trigger signal increased from 8% to 41% and sustained during the coronavirus disease 2019 pandemic. A balancing measure of time to implement a new trigger decreased. Key interventions to increase trigger signal were change in the program structure, increasing stakeholder engagement, and development of self-service reports for end users. CONCLUSIONS: Children's National Hospital's triggers program highlights successful evolution of an iterative, customized approach to increase clinical utility that hospitals can implement to impact real-time patient care. This triggers program requires an iterative, customized approach rather than a "1-size-fits-all," static paradigm to add a new dimension to current patient safety programs.

Improving Documentation of Pain Reassessment after Pain Management Interventions in the NICU.

Background: Neonates exposed to painful procedures require pain assessment and reassessment using nonverbal scales. Nurses perform initial assessments routinely, but reassessment is variable. The goal was to increase pain reassessments in neonates with a previous score of 4 or higher within 60 minutes from 50% to 75% within 12 months. Methods: After identifying key drivers, we tested several interventions using the IHI's Model for Improvement. The outcome measure was the rate of reassessments within 1 hour after scoring ≥4 on the Neonatal Pain Agitation and Sedation Scale (N-PASS). Duration of time between scoring and intervention was documented. Interventions included electronic health record (EHR) changes, direct communication with bedside nurses through text messages and emails, in-person education, and a yearly competency module. The process measure was the number of messages/emails to staff. Sedation scores were the balancing measure. Results: Baseline compliance was 50% with significant variability. A centerline shift occurred after the first intervention. After the first four interventions in the following 3 months, a 29% total increase occurred. Overall time-lapse between reassessments decreased from 102 to 90 minutes. Overall sedation scores decreased from -2.5 during the baseline to -1.7 during the sustain period. The goal of 75% pain reassessments was achieved and sustained for two years. Conclusions: Automated tools such as the trigger report provided data that increased noncompliance visibility. Real-time and personalized reminders and education improved awareness and set the tone for culture change. Electronic health record reminders for reassessments and standardized annual education helped in sustaining change.

COVID-19 Patient Vaccine Program Design and Implementation: An Academic Children's Hospital's Model, Approach, and Outcomes.

To slow the spread of the 2019 novel coronavirus disease (COVID-19) and reduce the associated morbidity and mortality, the Children's National Hospital developed a multidisciplinary, collaborative vaccine program aimed at equitably and expeditiously vaccinating the pediatric population of the surrounding community. Interdepartmental collaboration, professional expertise, and community partnerships allowed for a dynamic and successful program design that began as large volume-centralized vaccine clinics and expanded to smaller volume ambulatory clinics. This strategy proved successful at meeting local vaccine demand; however, strategies to improve vaccine uptake in communities with high rates of hesitancy are still needed to maximize vaccine equity.