Schuning, Virginia S.

BACKGROUND Discharge from the NICU is a highly complex process. Multidisciplinary survey results and chart audits identified gaps in the timeliness and efficiency of discharge in our NICU. Using the define-measure-analyze-improve-control quality improvement framework, we aimed to increase the percentage of patients discharged before 11:00 am from a baseline mean of 9.4% to 50% without adversely impacting caregiver readiness to discharge. METHODS We used a fishbone diagram to identify causes of late and inefficient NICU discharge. A Pareto chart and Impact-Effort matrix were used to select targets for improvement efforts. Plan-do-study-act (PDSA) cycles established a goal unit discharge time, created a discharge checklist, prioritized rounding on discharging patients, set expectations for caregiver education completion, and increased nurse knowledge and comfort with providing caregiver education. RESULTS The mean percent of patients discharged before 11:00 am increased from 9.4% to 52.4%, exceeding our aim. Median discharge time improved from 13:30 pm to 11:15 am (P < .001). Discharge was more efficient as demonstrated by significantly earlier completion of many discharge tasks. These improvements did not adversely impact reported caregiver readiness to discharge (75% vs 77%, P = .76). CONCLUSIONS Quality improvement methods can significantly improve the timeliness and efficiency of NICU discharge. Improvement in this complex process may be facilitated by a multidisciplinary team that offers diverse perspectives, unique process and methodologic knowledge, and the ability to appeal to all unit stakeholders. Lessons learned from this project may benefit other teams working to improve their ICU discharge process.

Introduction: Infants in neonatal intensive care units require painful and noxious stimuli as part of their care. Judicious use of analgesic medications, including opioids, is necessary. However, these medications have long- and short-term side effects, including potential neurotoxicity. This quality improvement project’s primary aim was to decrease opioid exposure by 33% in the first 14 days of life for infants less than 1,250 g at birth within 12 months. Methods: A multidisciplinary care team used Define, Measure, Analyze, Improve, Control methodology to identify root causes of the quality gap including: (1) inconsistent reporting of objective pain scales; (2) variable provider prescribing patterns; and (3) variable provider bedside assessment of pain. These root causes were addressed by two interventions: (1) standardized reporting of the premature infant pain profile scores and (2) implementation of an analgesia management pathway. Results: Mean opioid exposure, measured in morphine equivalents, in infants less than 1,250 g at birth during their first 14 days of life decreased from 0.64 mg/kg/d (95% confidence interval 0.41–0.87) at baseline to 0.08 mg/kg/d (95% confidence interval 0.03–0.13) during the postintervention period (P < 0.001). There was no statistical difference in rates of days to full feedings, unintentional extubations, or central line removals between epochs. Conclusions: Following the implementation of consistent pain score reporting and an analgesia management pathway, opioid exposure in the first 14 days of life for infants less than 1,250 g was significantly reduced by 88%, exceeding the project aim.