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Record W4200226423 · doi:10.1136/bmjopen-2021-050179

Funding received from breastmilk substitute manufacturers and policy positions of national maternity care provider associations: an online cross-sectional review

2021· review· en· W4200226423 on OpenAlexaboutno aff
Salma Qassin, Caroline Homer, Alyce N. Wilson

Bibliographic record

VenueBMJ Open · 2021
Typereview
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCross-sectional studyFamily medicineProfessional associationMaternity careNursingHealth carePublic relationsEconomic growth

Abstract

fetched live from OpenAlex

OBJECTIVES: Maternity care providers play an essential role in supporting women to breast feed. It is critical that their professional associations limit influence from breastmilk substitute (BMS) manufacturers. Aims of this study were (i) to examine whether maternity care provider associations had policy or positions statements addressing BMS marketing and (ii) to explore the type of funding received by these associations. DESIGN: An online cross-sectional review. SETTING: National or regional maternity provider professional associations in Australia, New Zealand, the USA, Canada and the UK. PARTICIPANTS: Twenty-eight maternity care provider (obstetricians, midwives, nurses and others involved in perinatal care) professional association websites. INTERVENTIONS: Websites were examined from November 2019 to October 2020. PRIMARY AND SECONDARY OUTCOME MEASURES: Evidence of BMS industry funding and policy or position statements addressing acceptance of funding from industries such as BMS. RESULTS: Policies addressing the BMS industry were found for 14 associations (50%). UK-based associations (5/5, 100%) and perinatal associations (4/6, 67%) were most likely to have a policy. Six associations (6/28, 21%) received some form of BMS financial support. The highest rates of BMS support were seen in the form of event advertising (5/28, 18%); closely followed by event sponsorship (4/28, 14%). At a provider level, obstetric associations had the highest rates of BMS support (2/4, 50%). At a country level, US-based associations were most likely to receive BMS support (3/7, 43%). CONCLUSIONS: BMS industry financial support was received by one-fifth of maternity care provider associations. Half of these associations had policies addressing BMS marketing. BMS industry support can create conflicts of interest that can threaten efforts to support, protect and promote breast feeding. Healthcare provider associations should avoid BMS funding and at a minimum have policy or position statements addressing BMS marketing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.088
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.983
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.088
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0120.015
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.310
GPT teacher head0.541
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainIncentives
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2021
Admission routes1
Has abstractyes

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