Systematic Preparation of Electronic Health Record Flowsheet Data to Develop Measures of Breastfeeding Intensity and Support During the Postpartum Hospital Stay

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Authors: Tiffany T. Gallagher, Robin R. Austin, Carrie E. Neerland, Michelle Ann Mathiason, Ellen W. Demerath, Wendy Sue Looman, Anne Chevalier McKechnie
Cited by: 1
References: 36

Abstract

Electronic health records (EHR) provide high-volume data about postpartum breastfeeding care. Despite the importance of exclusive breastfeeding as a quality indicator, there is no standardized method for analyzing this data. Following a systematic approach, we applied an EHR preparation framework to flowsheet documentation to evaluate data quality and create indicators of breastfeeding support (number of documented support interactions/expected number of interactions = support ratio) and breastfeeding intensity (number of breastmilk feedings/total feedings). A stepwise framework of (1) data extraction, (2) cohort development, (3) variable compilation, and (4) analysis was applied to data from a single hospital system in Minnesota available through a clinical data repository. In all, 33,285 dyads were included in the analysis. The overall mean support ratio was 2.33; 1.0 indicates the minimum support goal was met. Mean breastfeeding intensity by hospital ranged from 0.62 to 0.90 (0.84 overall). Over 50% of dyads were missing documentation for lactation care indicators, and none had complete data for all indicators. The selected indicators may be used in future research as a standardized method of evaluating breastfeeding support and outcomes during the postpartum hospital stay, and may be adapted for other research where repeated flowsheet measures are used.

Fields of Study & Subjects

Breastfeeding Practices and Influences Maternal and Perinatal Health Interventions Maternal Mental Health During Pregnancy and Postpartum

Publication details

Journal / source
CIN Computers Informatics Nursing
Publisher
Ovid Technologies (Wolters Kluwer Health)
Publication date
2 February 2026
Language
EN