Evidence map›Paper›PMID 42876415›Full record

ArticleMaternal & child nutrition2026

Stop Auditing Mothers and Start Auditing Systems.

Jimmy Chun Yu Louie

Abstract read
In one paragraph

Article in Maternal & child nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Jimmy Chun Yu LouieDepartment of Biomedical, Health and Exercise Sciences, School of Health Sciences, Swinburne University of Technology, Hawthorn, Victoria, Australia.ORCID https://orcid.org/0000-0001-7736-605X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

National breastfeeding statistics are conventionally read as a measure of maternal behaviour, and the dominant policy response has been to educate and encourage individual women. This Perspective argues that breastfeeding statistics should be interpreted primarily as indicators of system performance rather than maternal behaviour. In high-income countries, much early cessation occurs among women who intended to continue breastfeeding but could not obtain timely, effective support. The resulting shortfall therefore reflects constrained choice as much as personal preference. That both the systems framing and the intention-to-cessation indicator already exist in the literature is acknowledged directly: surveillance research has measured the gap, described its risk factors, and mapped its social patterning. Viewed through a quality-and-safety lens, unwanted early cessation has many of the characteristics of a preventable harm. It is common, patterned by identifiable failures of care, and partly avertable with known interventions such as evidence-based maternity practices, proactive post-discharge contact, adequate paid leave, and protection from substitute marketing. The contribution of this Perspective is not a new metric, but a new use for an existing one. I argue that unwanted early cessation should be treated as an accountable quality indicator within the quality-and-safety systems already used for other preventable harms. Rather than remaining a descriptive statistic, it should become a measure for which health services, employers, and policymakers share accountability. The paper also addresses how intention should be measured, considers the risks of increased surveillance, safeguards maternal autonomy, avoids shifting blame onto clinicians, and distinguishes challenges in high-income settings from priorities in lower-income contexts.

Indexed as

Breast FeedingMothersFemaleHumansMaternal Behaviorbreastfeedingequityhealth policyhealth systemsinfant feedinglactation supportmaternal and child nutrition

Identifiers

PMID42876415
PMCPMC13670006

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.