Investigating factors influencing decision-making around use of breastmilk substitutes by health care professionals: a qualitative study
Bibliographic record
Abstract
BACKGROUND: Breastfeeding is recognized as the gold standard of infant feeding and nutrition. The World Health Organization recommends exclusive breastfeeding (EBF) of infants for the first 6 months of life. A variety of factors may impact breastfeeding practices in-hospital which may continue after hospital discharge, such as the use of breastmilk substitutes (BMS). The Baby-Friendly Initiative (BFI), which aims to promote and support breastfeeding practices, established a target rate of 75% for EBF from birth to hospital discharge. Currently, this target is not being met at The Ottawa Hospital (TOH), indicating there is room for improvement in EBF rates. The purpose of this study is to explore health care professionals (HCP) decision-making around use of BMS and identify factors that drive the use of BMS with and without medical indications. METHODS: In this qualitative study, semi-structured interviews were conducted with HCPs within TOH from January to June 2022. All participants had experience in maternity or postpartum care and were probed on factors influencing use of BMS at this institution. Interview transcripts were coded using an inductive approach. RESULTS: A total of 18 HCPs were interviewed including physicians, midwives, lactation consultants, and registered nurses. Multilevel barriers influencing the use of BMS were categorized into patient, HCP, and institution-level factors. Subthemes that emerged ranged from parental preferences, training differences amongst HCPs, to budget and staffing issues. Over half of HCPs were prepared to answer questions on EBF and were familiar with the BFI. Although most were supportive of this institution receiving BFI designation, a few providers raised concerns of its impact on parents who would like to supplement. CONCLUSIONS: Several modifiable factors influencing decision-making for use of BMS were identified. These findings will be used to inform unit leads, help identify effective strategies to address modifiable barriers, and develop tailored breastfeeding supports to improve EBF rates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".