Improving Admission Temperature in Infants ≥34 Weeks' Gestation: A Quality Improvement Initiative

Hosp Pediatr. 2024 Nov 1;14(11):890-898. doi: 10.1542/hpeds.2023-007683.

Abstract

Background: NICU admission for hypothermia is a problem worldwide, with associated morbidity, mortality, and financial costs. Many interventions have been studied for smaller infants, but there has been little focus on infants born ≥34 weeks' gestational age (GA), though most deliveries occur at this gestation. Our primary aim was to improve the proportion of infants ≥34 weeks' GA with normal NICU admission temperature. Secondary outcomes included improvement of the proportion of normal first temperature in all infants ≥34 weeks' GA, independent of NICU admission, and improvement of predefined outcome measures.

Methods: We completed a root cause analysis, using fishbone and process mapping to determine what factors were contributing to hypothermia. A series of changes were trialed using plan-do-study-act cycles to develop a standard operating procedure, covering both vaginal and cesarean section births. Outcome measures were analyzed using a P-chart as well as traditional statistical tests.

Results: We successfully increased the proportion of infants ≥34 weeks' GA with normothermia on NICU admission from 62% to 80% without increasing hyperthermia. In addition, the interventions improved the proportion of delivery room normothermia in all infants born ≥34 weeks' GA and were associated with a decreased need for intravenous therapy for hypoglycemia and the incidence of metabolic acidosis.

Conclusions: This quality improvement initiative was successful at improving our institution's rates of normal infant temperature. The methodology used can be applied to other similar centers to improve this common problem.

MeSH terms

  • Body Temperature
  • Female
  • Gestational Age*
  • Humans
  • Hypothermia* / prevention & control
  • Hypothermia* / therapy
  • Infant, Newborn
  • Infant, Premature
  • Intensive Care Units, Neonatal*
  • Male
  • Patient Admission / statistics & numerical data
  • Quality Improvement*
  • Root Cause Analysis