Coming Together to Save Babies: Our Institution's Quality Improvement Collaborative to Improve Infant Safe Sleep Practices.

Many hospitalized infants are not observed in an American Academy of Pediatrics-recommended safe sleep environment, which can translate to unsafe sleep practices at home. We implemented this collaborative to reduce our county's sleep-related death rate by improving infant safe sleep practices in the freestanding children's hospital setting and increasing safe sleep screening and education in our clinics and emergency departments (EDs). METHODS: Physicians from our institution's primary care clinics, EDs, neonatal intensive care units, and general inpatient units created and led multidisciplinary safe sleep teams. Teams have used standardized data tools to collect information on infant patient ages and sleep position and environment, both in the hospital and at home. Based on audit data, teams have implemented multiple Plan-Do-Study-Act cycles during this collaborative. We have calculated changes in safe sleep practices in the hospital and changes in screening and education on safe sleep behaviors over time. RESULTS: Our teams have significantly increased compliance with safe sleep practices in the inpatient and neonatal intensive care unit settings (P < 0.01). We have also increased screening and education on appropriate safe sleep behaviors by ED and primary care providers (P < 0.01). Our county's sleep-related death rate has not significantly decreased during the collaborative. CONCLUSIONS: Our collaborative has increased American Academy of Pediatrics-recommended safe sleep practices in our institution, and we decreased sleep-related deaths in our primary care network. We have created stronger ties to our community partners working to decrease infant mortality rates. More efforts will be needed, both within and outside of our institution, to lower our community's sleep-related death rate.

A patient and family data domain collection framework for identifying disparities in pediatrics: results from the pediatric health equity collaborative.

BACKGROUND: By 2020, the child population is projected to have more racial and ethnic minorities make up the majority of the populations and health care organizations will need to have a system in place that collects accurate and reliable demographic data in order to monitor disparities. The goals of this group were to establish sample practices, approaches and lessons learned with regard to race, ethnicity, language, and other demographic data collection in pediatric care setting. METHODS: A panel of 16 research and clinical professional experts working in 10 pediatric care delivery systems in the US and Canada convened twice in person for 3-day consensus development meetings and met multiple times via conference calls over a two year period. Current evidence on adult demographic data collection was systematically reviewed and unique aspects of data collection in the pediatric setting were outlined. Human centered design methods were utilized to facilitate theme development, facilitate constructive and innovative discussion, and generate consensus. RESULTS: Group consensus determined six final data collection domains: 1) caregivers, 2) race and ethnicity, 3) language, 4) sexual orientation and gender identity, 5) disability, and 6) social determinants of health. For each domain, the group defined the domain, established a rational for collection, identified the unique challenges for data collection in a pediatric setting, and developed sample practices which are based on the experience of the members as a starting point to allow for customization unique to each health care organization. Several unique challenges in the pediatric setting across all domains include: data collection on caregivers, determining an age at which it is appropriate to collect data from the patient, collecting and updating data at multiple points across the lifespan, the limits of the electronic health record, and determining the purpose of the data collection before implementation. CONCLUSIONS: There is no single approach that will work for all organizations when collecting race, ethnicity, language and other social determinants of health data. Each organization will need to tailor their data collection based on the population they serve, the financial resources available, and the capacity of the electronic health record.

Cultural factors affecting behavior guidance and family compliance.

Culturally effective care is all about relationships and these involve interpersonal interactions with patients and parents from diverse cultures. Important aspects of effective cultural care include understanding and respecting the role of family, the concept of time, the social structure, and the concept of fate in health. This overview will give examples of some cultural issues and offer basic skills in communication and tips for working with an interpreter. Skills such as ask-tell-ask, teach back, the explanatory model using the four C's of culture, and motivational interviewing are discussed. The goal of these strategies is to build strong supportive relationships needed to support change in behavior and optimal dental health.