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Expert Opinions on an Optimal Infant Feeding Quantitative Data Framework: A Mixed Methods Delphi-Style Study in the
Rochelle Embling1, Rachel Evans1, Niamh Mchugh1
1Health Improvement Division, Health & Wellbeing, Public Health Wales, Cardiff, UK.
Summary
Experts agreed on key infant feeding data indicators for UK nations. This consensus aims to improve breastfeeding monitoring and evaluation, aligning data collection with international standards and healthcare practices.
Area of Science:
- Public Health
- Epidemiology
- Health Services Research
Background:
- Infant feeding data collection requires alignment across UK nations.
- Expert consensus is needed to define ideal datasets for monitoring and evaluating breastfeeding.
- Current data collection efforts may not align with international standards or healthcare practices.
Purpose of the Study:
- To define an ideal dataset for infant feeding data collection.
- To achieve consensus among stakeholders in research, policy, and practice.
- To align breastfeeding monitoring and evaluation efforts across the UK.
Main Methods:
- Delphi method with two phases of consultation.
- Involved 42 interdisciplinary stakeholders from research, policy, and practice.
- Utilized qualitative and quantitative surveys, followed by policy-led discussions and written responses.
Main Results:
- Consensus reached on definitions for 13 of 15 indicators and timepoints for 11 of 13.
- Key data collection points include intention to breastfeed (birth), early initiation (0-10 days), exclusive breastfeeding (0-6 months), any breastfeeding (0-24 months), and complementary feeding (6 & 12 months).
- 5 of 7 indicators reached final agreement in Phase 2.
Conclusions:
- A shortlist of shared data indicators for infant feeding was identified through consensus.
- These indicators provide opportunities to improve data collection and align with international standards.
- The findings support data reforms and align with existing monitoring frameworks and healthcare practices in UK nations.
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