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CONFERENCE PROCEEDING
Utilising the ICHOM set for pregnancy and childbirth to inform personalised breastfeeding support, lactation service design and global benchmarking: From evidence generation to real-world application
1
Gold Coast University Hospital, Womens Newborns and Childrens, Gold Coast, Australia
2
University of Technology- Sydney, School of Nursing & Midwifery, Sydney, Australia
3
The University of Queensland, School of Nursing- Midwifery & Social Work, Brisbane, Australia
4
Griffith University, School of Nursing and Midwifery, Gold Coast, Australia
Eur J Midwifery 2026;10(Supplement 1):A665
ABSTRACT
BACKGROUND:
Breastfeeding is a critical determinant of maternal and infant health, yet global rates of exclusive breastfeeding remain poorly reported beyond the time of birth. The International Consortium for Health Outcomes Measurement Pregnancy and Childbirth Set (ICHOM-PCB) offers a globally relevant standardised framework to evaluate breastfeeding.
OBJECTIVES:
This study explores how the potential of the ICHOM-PCB Set can be maximised to inform targeted breastfeeding support, maternity service evaluation, and global benchmarking.
METHODS:
A prospective cohort study was conducted in one tertiary hospital in Queensland Australia. Data collection completed in November 2024. Over 800 pregnant women who intended to breastfeed were asked to complete up to 10 online surveys. A baseline survey was completed in week one, followed by short weekly surveys for one month, then monthly surveys for up to six months; an exit survey was completed upon cessation of breastfeeding. Breastfeeding intention during pregnancy and success was recorded. The Breastfeeding Self-Efficacy Scale (BSES), included in the ICHOM-PCB Set was used to assess breastfeeding confidence, alongside other variables.
RESULTS:
Data analysis is in progress; response rate was high ~85-90%. Findings including breastfeeding trajectories and breastfeeding confidence scores will be presented. Cut-points on the BSES will be presented to inform robust referral and triage processes.
CONCLUSIONS:
Findings will be incorporated into the first maternity specific digital clinical decision support tool designed to maximise the potential of the ICHOM-PCB. We plan to develop evidence-informed algorithms from the data to enable the immediate delivery of targeted breastfeeding resources to the woman and automated robust referral and triage processes.
KEY MESSAGE:
By harnessing the globally relevant standardised ICHOM-PCB Set and partnering with digital health technology, consistently collected breastfeeding data can be used to transform real-world maternity care into a learning system—where breastfeeding outcomes, derived from women, informs smarter decisions, sharper triage, and stronger support for women and babies. Poster session 2 (Group A)
Breastfeeding is a critical determinant of maternal and infant health, yet global rates of exclusive breastfeeding remain poorly reported beyond the time of birth. The International Consortium for Health Outcomes Measurement Pregnancy and Childbirth Set (ICHOM-PCB) offers a globally relevant standardised framework to evaluate breastfeeding.
OBJECTIVES:
This study explores how the potential of the ICHOM-PCB Set can be maximised to inform targeted breastfeeding support, maternity service evaluation, and global benchmarking.
METHODS:
A prospective cohort study was conducted in one tertiary hospital in Queensland Australia. Data collection completed in November 2024. Over 800 pregnant women who intended to breastfeed were asked to complete up to 10 online surveys. A baseline survey was completed in week one, followed by short weekly surveys for one month, then monthly surveys for up to six months; an exit survey was completed upon cessation of breastfeeding. Breastfeeding intention during pregnancy and success was recorded. The Breastfeeding Self-Efficacy Scale (BSES), included in the ICHOM-PCB Set was used to assess breastfeeding confidence, alongside other variables.
RESULTS:
Data analysis is in progress; response rate was high ~85-90%. Findings including breastfeeding trajectories and breastfeeding confidence scores will be presented. Cut-points on the BSES will be presented to inform robust referral and triage processes.
CONCLUSIONS:
Findings will be incorporated into the first maternity specific digital clinical decision support tool designed to maximise the potential of the ICHOM-PCB. We plan to develop evidence-informed algorithms from the data to enable the immediate delivery of targeted breastfeeding resources to the woman and automated robust referral and triage processes.
KEY MESSAGE:
By harnessing the globally relevant standardised ICHOM-PCB Set and partnering with digital health technology, consistently collected breastfeeding data can be used to transform real-world maternity care into a learning system—where breastfeeding outcomes, derived from women, informs smarter decisions, sharper triage, and stronger support for women and babies. Poster session 2 (Group A)
| eISSN: | 2585-2906 |
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