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Predicting breast-feeding attrition: adapting the Breast-feeding Attrition Prediction Tool
Journal of Perinatal and Neonatal Nursing (2007)
  • Elizabeth Reifsnider, Arizona State University
  • Sarah L. Gill, University of Texas Health Science Center at San Antonio
  • Joseph F. Lucke, State University of New York at Buffalo
  • Angela R. Mann
Abstract

CONTEXT: Current breast-feeding rates fall short of the recommendations set forth in Health People 2010. The Breast-feeding Attrition Prediction Tool (BAPT), administered in the postpartum period, has been useful in predicting breast-feeding attrition. However, assessing a woman's intention to breast-feed prior to birth would identify women at risk for breast-feeding attrition.

PURPOSE: The purpose of this study was to describe a revised BAPT, administered antepartally that measures intention to breast-feed.

METHODS: The BAPT, comprising 94 items on a 6-point Likert-type scale, was translated into Spanish and back-translated for accuracy. The BAPT was then revised by reducing the number of items to 35 (32 were used for analysis) and contracting the 6-point scale to 3 categories. A Bayesian item response model provided the psychometric properties of the revised BAPT.

RESULTS: The revised BAPT was completed by 143 Mexican American pregnant women. Items, some reverse-scored, were recoded as "agree" versus "disagree." Item analyses indicated a wide range of item discriminabilities, with most items being useful measures of intention to breast-feed. Person analyses provided scores for intention to breast-feed. A simpler scoring system was devised for applications.

CONCLUSIONS: The revised BAPT shows promise as a measure of intention to breast-feed. The scoring system also indicates which women may need additional interventions to promote breast-feeding.

Keywords
  • breastfeeding; Bayesian methods; item response theory
Publication Date
2007
Citation Information
Elizabeth Reifsnider, Sarah L. Gill, Joseph F. Lucke and Angela R. Mann. "Predicting breast-feeding attrition: adapting the Breast-feeding Attrition Prediction Tool" Journal of Perinatal and Neonatal Nursing Vol. 21 Iss. 3 (2007)
Available at: http://works.bepress.com/joseph_lucke/31/