Related Experiment Video
Updated: Dec 14, 2025

Improving IV Insulin Administration in a Community Hospital
Published on: June 11, 2012
Neonatal hypoglycemia algorithms improve hospital outcomes
Erin A Plummer1, Ivana Ninkovic2, Anna Rees2
1Department of Pediatrics, Division of Neonatology, University of Minnesota, Minneapolis, MN, USA.
Insights
Implementing hypoglycemia algorithms (HGA) streamlined care for at-risk newborns, reducing intravenous dextrose use and NICU admissions. The updated HGA, including dextrose gel, maintained benefits and cut costs, improving infant outcomes.
Area of Science:
- Neonatal Medicine
- Pediatrics
- Healthcare Management
Background:
- Neonatal hypoglycemia management protocols vary, impacting infant care and hospital resources.
- Standardized hypoglycemia algorithms (HGA) can streamline treatment for at-risk newborns.
Purpose of the Study:
- To implement and evaluate the impact of hypoglycemia algorithms (HGA) on neonatal hypoglycemia management.
- To improve outcomes for the mother-infant dyad and reduce hospital costs associated with neonatal hypoglycemia.
Main Methods:
- Retrospective cohort study of 4,666 asymptomatic infants at risk for hypoglycemia (2010-2016).
- Analysis of outcomes across three epochs: pre-HGA (2010-2011), HGA1 (2012-2013), and HGA2 (2014-2016, including dextrose gel).
- Cost savings calculated using linear regression.
Main Results:
- HGA implementation reduced intravenous dextrose use compared to the pre-HGA period (3.9% to 2.5% and 1.0%).
- The HGA2 group showed increased breastfeeding rates (86.7% to 88.4%) and decreased NICU admissions (10.6% to 9.4%).
- Total cost savings approximated $222 per case, with no change in length of stay.
Conclusions:
- Hypoglycemia algorithms (HGA) effectively improved short-term outcomes for asymptomatic infants at risk.
- Updating HGA to include dextrose gel maintained benefits and further enhanced outcomes, reducing overall care costs.
- Standardized HGA positively impacts neonatal care, promoting mother-infant bonding and cost-efficiency.
Objective:
Neonatal hypoglycemia is a common diagnosis for which management strategies vary. Our goal was to implement hypoglycemia algorithms (HGA) to streamline management of neonatal hypoglycemia within our hospital system and improve outcomes related to promoting the mother-infant dyad and decreasing hospital costs.
Patients And Methods:
A retrospective cohort study analyzed data on 4,666 asymptomatic infants at risk for hypoglycemia and born at two, large, community hospitals between 2010 and 2016. The first algorithm (HGA1) was created in 2012 and subsequently updated (HGA2) in 2014 to include the use of dextrose gel. Infants were separated into three groups by epoch: pre-HGA (2010-2011), HGA1 (2012-2013), and HGA2 (2014-2016). Outcomes between groups were then analyzed. Cost savings were calculated using linear regression.
Results:
Compared with the pre-HGA group, the HGA1 group had decreased intravenous dextrose use (3.9 vs. 2.5%, p < .001). Compared with the HGA1 group, the HGA2 group had decreased intravenous dextrose use (2.5 vs. 1.0%, p < .001) and increased breastfeeding rates (88.4% vs. 86.7%, p = .003). Neonatal intensive care unit admission rates decreased when comparing the pre-HGA group with the HGA2 group (10.6% vs 9.4%, p = .03). Length of stay was overall unchanged. Total cost savings were approximately $222 per case.
Conclusions:
By implementing HGA1 and providing resources to unify care for asymptomatic infants at risk for hypoglycemia, short-term outcomes in our hospital system improved. By updating HGA2 to include the use of dextrose gel, the advantages gained by HGA1 were maintained and further enhanced. Overall cost of care was reduced.
Related Concept Videos
Hypoglycemia and Glucagon
SBAR II: Application of SBAR
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
Pathophysiology of Diabetes
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
Diabetes Mellitus: Type 2 and Gestational
Glucose Homeostasis: Regulation of Blood Glucose
During fasting, when blood glucose levels are low, the pancreas secretes glucagon. it...
Oral Hypoglycemic Agents: Glinides

