Expert Opinions on an Optimal Infant Feeding Quantitative Data Framework: A Mixed Methods Delphi‐Style Study in the UK

To support the feasibility of data reforms across UK nations, these results identify consensus for a shortlist of shared data indicators (see Supplementary Figure 1), highlighting opportunities for data collection that close the gap with international standards, and align with existing monitoring frameworks and healthcare practice.

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Publication Details

Journal
Journal of Human Nutrition and Dietetics
Published
2025-02-01
DOI
https://doi.org/10.1111/jhn.70025
Citations
1
Primary Topic
Delphi Technique in Research
Type
article
Field-Weighted Citation Impact
4.20
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article

Expert Opinions on an Optimal Infant Feeding Quantitative Data Framework: A Mixed Methods Delphi‐Style Study in the UK

R.D. Evans, Rochelle Embling, Rachel Bath, Anna Kolosowska et al.
1 citations
Journal of Human Nutrition and Dietetics
Delphi Technique in Research
4.20
article

Expert Opinions on an Optimal Infant Feeding Quantitative Data Framework: A Mixed Methods Delphi‐Style Study in the UK

R.D. Evans, Rochelle Embling, Rachel Bath, Anna Kolosowska, Niamh Mchugh, Varsha Nagaraj
article en
1 citations

Abstract

To support the feasibility of data reforms across UK nations, these results identify consensus for a shortlist of shared data indicators (see Supplementary Figure 1), highlighting opportunities for data collection that close the gap with international standards, and align with existing monitoring frameworks and healthcare practice.

Journal of Human Nutrition and DieteticsVol. 38(1)
Public Health Wales (GB)
Openalex Percentile: Top 10%
Delphi Technique in Research
4.20
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