Comparison of Lactation Information from Electronic Health Records with Survey Data Across Five US Health Systems
- PMID: 41355391
- DOI: 10.1097/EDE.0000000000001931
Comparison of Lactation Information from Electronic Health Records with Survey Data Across Five US Health Systems
Abstract
Background: Data on lactation status for research are often collected through surveys. Information on human milk feeding collected at routine healthcare visits and stored in electronic health records (EHR) is an emerging source of data for lactation research. We compared information on milk feeding obtained from structured EHR fields with survey data.
Methods: We included participants from five US healthcare systems in the Managing Our Mood survey. Individuals had a live birth (March 2022-October 2023), depression diagnosis during pregnancy, and ≥1 record of human milk feeding information in their or their infant's EHR. We compared information from EHR data up to ten months after delivery with survey data collected 3-4 months after delivery as the reference. We assessed agreement on lactation status (human milk feeding ever and at survey) using percent agreement, Cohen's kappa, sensitivity, specificity, positive predictive value, and negative predictive value overall and by characteristics.
Results: According to survey data, the prevalence of human milk feeding ever was 93.2% and was 73.0% at the time of survey among 281 eligible individuals. Agreement between data sources for ever and for human milk feeding at the survey was ≥92% with kappas ≥0.77. EHR and survey data agreed on human milk feeding ever for 97.3% (95% confidence interval: 94.6%, 98.7%) and on human milk feeding at the time of the survey for 98.0% (95% confidence interval: 95.1%, 99.2%) of those who reported yes to these practices on the survey. These measurements were lower among individuals with fewer records.
Conclusions: There was substantial agreement on lactation status between EHR and survey data. These findings suggest that lactation information from structured EHR may be used for epidemiologic research.
Keywords: Breastfeeding; Electronic health records; Epidemiology; Human milk; Validation studies.
Copyright © 2025 Wolters Kluwer Health, Inc. All rights reserved.
References
-
- Braithwaite EC, Oftedal A, Kaasen A, Ayorech Z, Bekkhus M. A history of depression and prenatal depression are associated with a lower likelihood of breastfeeding initiation and maintenance, and more breastfeeding problems. Arch Womens Ment Health. 2025;28:139–146.
-
- de Waard M, Blomjous BS, Hol MLF, et al. Medication use during pregnancy and lactation in a Dutch population. J Hum Lact. 2019;35:154–164.
-
- Prevention CfDCa. NIS-child data results . 2024. Available at: https://www.cdc.gov/breastfeeding-data/survey/results.html . Accessed July 16, 2025.
-
- De Silva DA, Anderson EA, Kim J, Ting Lee ML, Thoma ME. The association between prenatal food insecurity and breastfeeding initiation and exclusive breastfeeding duration: a longitudinal study using Oregon PRAMS and PRAMS-2, 2008-2015. Breastfeed Med. 2024;19:368–377.
-
- Coy KC, Haight SC, Anstey E, Grant AM, Ruffo N, Ko JY. Postpartum marijuana use, perceptions of safety, and breastfeeding initiation and duration: an analysis of PRAMS data from seven states, 2017. J Hum Lact. 2021;37:803–812.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
