Quality Improvement Initiative Enhances Outpatient Pediatric Pulmonology Follow-up for Premature Infants with Bronchopulmonary Dysplasia.

Introduction: Bronchopulmonary dysplasia (BPD) is a chronic lung disorder affecting many premature infants. Infants with BPD have higher hospital readmission rates due to respiratory-related morbidity. We aimed to increase the rates of outpatient pulmonary follow-up and attendance of premature babies with moderate and severe BPD to above 85% within 6 months. Methods: We conducted a quality improvement project at Yale New Haven Children's Hospital. Key interventions included developing a BPD clinical pathway integrated into the electronic medical record to assist providers in correctly classifying BPD severity, assigning the appropriate International Classification of Diseases, 10th Revision code (P27.1), and providing standardized treatment options. The outcome measures included correct diagnosis and classification of BPD, the percentage of patients with BPD scheduled for pediatric pulmonology appointments within 45 days, and the percentage attending those appointments. Results: There were 226 patients in our study, including 85 in the baseline period. Correct diagnosis of BPD increased from 49% to 95%, the percentage of scheduled appointments increased from 71.9% to 100%, and the percentage of appointments attended increased from 55.6% to 87.1%. Conclusions: Our quality improvement initiative improved the accuracy of diagnosis, severity classification, and outpatient pulmonary follow-up of children with moderate and severe BPD.

An Initiative to Decrease Laboratory Testing in a NICU.

BACKGROUND AND OBJECTIVES: Laboratory testing is performed frequently in the NICU. Unnecessary tests can result in increased costs, blood loss, and pain, which can increase the risk of long-term growth and neurodevelopmental impairment. Our aim was to decrease routine screening laboratory testing in all infants admitted to our NICU by 20% over a 24-month period. METHODS: We designed and implemented a multifaceted quality improvement project using the Institute for Healthcare Improvement's Model for Improvement. Baseline data were reviewed and analyzed to prioritize order of interventions. The primary outcome measure was number of laboratory tests performed per 1000 patient days. Secondary outcome measures included number of blood glucose and serum bilirubin tests per 1000 patient days, blood volume removed per 1000 patient days, and cost. Extreme laboratory values were tracked and reviewed as balancing measures. Statistical process control charts were used to track measures over time. RESULTS: Over a 24-month period, we achieved a 26.8% decrease in laboratory tests performed per 1000 patient days (∽51 000 fewer tests). We observed significant decreases in all secondary measures, including a decrease of almost 8 L of blood drawn and a savings of $258 000. No extreme laboratory values were deemed attributable to the interventions. Improvement was sustained for an additional 7 months. CONCLUSIONS: Targeted interventions, including guideline development, dashboard creation and distribution, electronic medical record optimization, and expansion of noninvasive and point-of-care testing resulted in a significant and sustained reduction in laboratory testing without notable adverse effects.