Reliability and validity of the Preterm Infant Feeding Survey: instrument development and testing

Donna A Dowling1, Elizabeth Madigan, Mary K Anthony

  • 1Case Western Reserve University, Cleveland, Ohio 44106, USA. dad10@case.edu

Insights

Researchers developed the Preterm Infant Feeding Survey (PIFS) to understand mothers' feeding choices for preterm infants. This new tool helps identify factors influencing decisions, aiming to improve breastfeeding support for high-risk infants.

Area of Science:

  • Neonatal nursing
  • Maternal-infant health
  • Psychometrics

Background:

  • Limited existing instruments assess maternal attitudes toward feeding decisions for preterm infants.
  • Understanding these attitudes is crucial for developing effective breastfeeding interventions.
  • Preterm infants present unique feeding challenges requiring specialized support.

Purpose of the Study:

  • To develop and psychometrically test the Preterm Infant Feeding Survey (PIFS).
  • To create a reliable instrument for assessing maternal feeding decision factors in preterm infants.
  • To provide a tool for improving breastfeeding outcomes in this vulnerable population.

Main Methods:

  • Adapted the Breastfeeding Attrition Prediction Scale to create the 78-item, five-subscale PIFS.
  • Administered the PIFS to 105 mothers of preterm infants upon hospital admission.
  • Utilized Cronbach's alpha for reliability and factor analysis for construct validity.

Main Results:

  • Individual subscale reliability (Cronbach's alpha) ranged from .75 to .82, indicating good internal consistency.
  • Factor analysis confirmed a five-factor structure, supporting the survey's construct validity.
  • The PIFS demonstrated suitability for assessing maternal feeding decision factors.

Conclusions:

  • The PIFS is the first instrument designed to examine factors influencing feeding decisions of mothers with high-risk preterm infants.
  • This survey provides valuable insights for planning targeted interventions to enhance breastfeeding.
  • Further psychometric validation with larger, diverse samples is recommended for broader applicability.