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Record W4315780121 · doi:10.1136/bmjopen-2022-066978

Rates of breast feeding and associated factors for First Nations infants in a hospital with a culturally specific caseload midwifery model in Victoria, Australia: a cohort study

2023· article· en· W4315780121 on OpenAlexaboutno aff
Tanisha L. Springall, Della Forster, Helen McLachlan, Pamela McCalman, Touran Shafiei

Bibliographic record

VenueBMJ Open · 2023
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilMedical Research CouncilLa Trobe University
KeywordsMedicineCohortCohort studyBreast feedingObstetricsEpidemiologyFamily medicineNursingDemographyPediatrics

Abstract

fetched live from OpenAlex

OBJECTIVES: There is an urgent need to improve breast feeding rates for Australian First Nations (Aboriginal and Torres Strait Islander) infants. We explored breast feeding outcomes of women having a First Nations infant at three sites that introduced a culturally specific continuity of midwife care model. DESIGN: Women having a First Nations infant booking for pregnancy care between March 2017 and November 2020 were invited to participate. Surveys at recruitment and 3 months post partum were developed with input from the First Nations Advisory Committee. We explored breast feeding intention, initiation, maintenance and reasons for stopping and factors associated with breast feeding. SETTING: Three tertiary maternity services in Melbourne, Australia. PARTICIPANTS: Of 479/926 eligible women approached, 343 (72%) completed the recruitment survey, and 213/343 (62%) the postnatal survey. OUTCOMES: Primary: breast feeding initiation and maintenance. Secondary: breast feeding intention and reasons for stopping breast feeding. RESULTS: Most women (298, 87%) received the culturally specific model. Breast feeding initiation (96%, 95% CI 0.93 to 0.98) was high. At 3 months, 71% were giving 'any' (95% CI 0.65 to 0.78) and 48% were giving 'only' breast milk (95% CI 0.41 to 0.55). Intending to breast feed 6 months (Adj OR 'any': 2.69, 95% CI 1.29 to 5.60; 'only': 2.22, 95% CI 1.20 to 4.12), and not smoking in pregnancy (Adj OR 'any': 2.48, 95% CI 1.05 to 5.86; 'only': 4.05, 95% CI 1.54 to 10.69) were associated with higher odds. Lower education (Adj OR 'any': 0.36, 95% CI 0.13 to 0.98; 'only': 0.50, 95% CI 0.26 to 0.96) and government benefits as the main household income (Adj OR 'any': 0.26, 95% CI 0.11 to 0.58) with lower odds. CONCLUSIONS: Breast feeding rates were high in the context of service-wide change. Our findings strengthen the evidence that culturally specific continuity models improve breast feeding outcomes for First Nations women and infants. We recommend implementing and upscaling First Nations specific midwifery continuity models within mainstream hospitals in Australia as a strategy to improve breast feeding.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.091
GPT teacher head0.399
Teacher spread0.307 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations12
Published2023
Admission routes1
Has abstractyes

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