Measuring quality of care in moderate and late preterm infants

Elizabeth G Salazar1,2, Sara C Handley3,4,5, Lucy T Greenberg6,7

  • 1Division of Neonatology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA. salazare@chop.edu.

Insights

Quality measures for moderate and late preterm (MLP) infants showed weak correlations with those for extremely preterm infants. This suggests a need for specific quality measures tailored to MLP infant care.

Area of Science:

  • Neonatalogy
  • Pediatric Quality Improvement
  • Perinatal Health

Background:

  • Moderate and late preterm (MLP) infants (30-36 weeks gestational age) represent a significant population within Neonatal Intensive Care Units (NICUs).
  • Existing quality measures, such as Baby-MONITOR, have been developed for extremely/very preterm infants (25-29 weeks gestational age).
  • The applicability of these existing measures to the MLP population requires examination.

Purpose of the Study:

  • To adapt and evaluate a composite quality measure for moderate and late preterm (MLP) infants.
  • To examine the correlation between an adapted MLP quality measure (MLP-QM) and the Baby-MONITOR measure in extremely/very preterm infants.

Main Methods:

  • Prospective analysis of the Vermont Oxford Network's NICU admissions database.
  • Adaptation of the Baby-MONITOR composite quality measure for MLP infants, termed MLP-QM.
  • Correlation analysis between MLP-QM scores in MLP infants and Baby-MONITOR scores in extremely/very preterm infants.

Main Results:

  • Analysis included 376,219 MLP infants and 57,595 extremely/very preterm infants from 465 U.S. hospitals (2016-2020).
  • Overall MLP-QM scores showed weak correlation with Baby-MONITOR scores (r=0.47).
  • Strong correlations were observed for human milk at discharge (r=0.79) and absence of hypothermia (r=0.76), while survival and absence of pneumothorax/infection showed weaker correlations.

Conclusions:

  • The modest correlation across various hospital care measures indicates that existing quality metrics may not fully capture the nuances of MLP infant care.
  • Development and implementation of MLP-specific quality measures are recommended to optimize care for this population.
Abstract