Identifying Autism Spectrum Disorder in a High-risk Follow-up Program through Quality Improvement Methodology.

Introduction: Children born prematurely are at increased risk for autism spectrum disorder (ASD). ASD can be diagnosed between 18 and 24 months of age, but access barriers and medical complexity can delay diagnosis. ASD screening was implemented in a high-risk infant follow-up program using QI methodology. The project aimed to screen 60% of children and refer 90% of those with positive screens. Methods: The team developed a standardized workflow to administer the M-CHAT-R/F to HRIF patients between the ages of 16-22 months. Telehealth ASD assessment, using the TELE-ASD-PEDS, was conducted for those who screened positive. Monthly team meetings were held to implement change cycles and review the impact of the previous month's change. Results: Within 7 months of program implementation, ASD screening exceeded the 60% aim. The program referred 72% of patients who screened as medium/high risk on the M-CHAT-R/F. The remaining patients were not referred per provider discretion. Twenty-seven percent of patients who received an autism evaluation received an ASD diagnosis. The average age at diagnosis was 22.5 months. Conclusions: An ASD screening protocol was implemented for patients enrolled in a high-risk infant follow-up program. Patients identified as at risk for ASD received an expedited telehealth ASD evaluation. The screening protocol was maintained for 13 months and is now part of the standard workflow. Screening has been expanded to other HRIF clinics, and evaluation appointments have been added to meet access needs. QI methodology is an effective tool for implementing ASD screening and referral in multidisciplinary HRIF programs.

Integrating Cultural Humility Into Infant Safe Sleep Counseling: A Pediatric Resident Simulation.

INTRODUCTION: Co-sleeping with infants is a common practice across cultures, but pediatricians may struggle to engage in patient-centered conversations about infant sleep practices with non-native English- speaking families. Cultural humility is a critical skill to utilize when engaging in cross-cultural conversations. We designed a simulation for pediatric residents to counsel on safe sleep and enhance skills in self-perceived cultural humility and preparedness when caring for diverse patient populations. METHODS: We created a simulation for the second year and senior pediatric residents at a large academic institution focused on a co-sleeping parent and infant from the Burmese community. The Multidimensional Cultural Humility Scale (MCHS) was administered prior to and after the simulation. We also included additional questions regarding changes in knowledge and preparation in engaging in co-sleeping conversations across cultures. RESULTS: Fifty-seven residents participated. Overall, the mean score of the MCHS significantly increased after the simulation, indicating an increase in self-perceived cultural humility. All participants felt more prepared to have conversations about co-sleeping and to engage in difficult conversations with diverse patient populations, and all learned valuable skills to improve care for future patients. Comments regarding the scenario noted an appreciation for learning more about the Burmese population and understanding new approaches to safe sleep counseling. DISCUSSION: After this simulated scenario, residents reported increased self-perceived cultural humility, preparedness in counseling on co-sleeping, and skills to engage in difficult conversations with diverse patient populations. Topics such as cultural humility can be incorporated into simulation-based medical education to help improve the care of diverse patient populations.

Enhancing Safe Sleep Counseling by Pediatricians through a Quality Improvement Learning Collaborative.

BACKGROUND: Approximately, 3,500 infants die annually from sleep-related infant deaths in the United States. We sought to improve pediatricians' counseling on safe sleep from birth through 6 months of age through a virtual quality improvement learning collaborative (QILC). Our aim was appropriate screening, counseling, and documentation of safe sleep advice in 75% of eligible patient encounters after the QILC. METHODS: We formed a 9-month QILC for inpatient and outpatient pediatricians. Pediatricians collected data on safe sleep documentation in a newborn discharge or well-child visit note. Data were submitted at baseline and in 9 subsequent phases. Participants met monthly via a webinar, which included a QI presentation, data review, and facilitated discussion among participants. Practices were contacted 12 months after the conclusion of the QILC to assess sustainment. RESULTS: Thirty-four pediatricians from 4 inpatient and 9 outpatient practices participated in the QILC. At baseline, documentation of safe sleep practices varied greatly (0%-98%). However, by the end of the QILC, all participating practices were documenting safe sleep guidance in over 75% of patient encounters. Aggregate practice data show a significant, sustained improvement. The 12-month follow-up data were submitted from 62% of practices, with sustainment of improvement in 75% of practices. CONCLUSION: A facilitated, virtual QILC is an effective methodology to improve safe sleep counseling among a diverse group of pediatric practices. It is one step in improving consistent messaging around safe sleep by healthcare providers as pediatricians work to decrease sleep-related infant deaths.