Neonatal Quality Improvement
Neonatal Quality Improvement 7
Lalitha Gundamraj, MD (she/her/hers)
Assistant Professor
Michigan State University College of Human Medicine
Lansing, Michigan, United States
A QI team was formed with nursing management member and neonatologist. All factors causing delays in discharge order placement were recognized. Separate consensus-based algorithms were developed for infants with short and long hospitalization. The specific aim was to place the discharge order by 11 am, except for unforeseeable social and parental factors that could lead to late discharge.
A late order was defined as discharge order placed after 11am. The total number of discharges and timing of order placement over a four-month period were collected prior to this project. All the causes of delay were examined and divided into "medical", "nursing" and "uncontrolled" factors. This allowed us to focus on each individual reason behind a delayed order placement or delayed infant’s discharge. Short and long stay algorithms (fig 1 and 2) were prepared, shared with medical, nursing teams and feedbacks were incorporated. To better prepare parents for discharge, two documents of "what to expect" were prepared. First form was given to parents at admission and second form when an "expected date of discharge" is determined by medical team. These forms detailed general information regarding NICU stay, and goals needed to be met prior to discharge including parent education, infant health changes, nursing led education and preparedness for home as well as follow up planning. Nursing skill workshops and medical team orientation was completed. We collected data for six months following implementation of this QI project.