“Be positive as well as realistic”: a qualitative description analysis of information gaps experienced by breastfeeding mothers
Bibliographic record
Abstract
BACKGROUND: Early breastfeeding cessation is common in many regions of the world despite high breastfeeding initiation rates and strong evidence of the health benefits to both mother and infant. This research investigated mothers' perceived breastfeeding information needs in order to increase our understanding of this phenomenon. METHODS: Surveys were distributed by public health nurses in a health region in Western Canada to mothers who had initiated breastfeeding and whose infants were six to eleven months old to learn more about their infant feeding experiences during the birth to six month period. Two open-ended survey questions asked: (1) What support or advice did you receive that helped you with feeding your baby?" and (2) "What support or information on feeding your baby would you have found helpful but did not receive?" A total of 191 eligible mothers submitted a survey (response rate 35%) between January and October 2012. Qualitative description was used in analyzing the responses of the women who provided comments for the open-ended questions. RESULTS: While many mothers felt their information needs were met, others outlined important content areas where more information and guidance was desired. These areas included milk supply management, frequency/duration of feeds, proper latch and feeding positions, nipple care, expression/pumping, other nutrition sources, and realistic information regarding common breastfeeding concerns. CONCLUSIONS: The results suggest that several of the information gaps highlighted by respondents in this study closely align with commonly cited reasons for breastfeeding cessation including perceived insufficient milk supply, latching difficulties and nipple discomfort. The findings emphasize the need for lactation support with systematic measures to ensure breastfeeding mothers are universally provided with information on these key content areas. Lactation supports should reinforce critical information and seek feedback to ascertain that mothers have clearly understood the information provided. Ensuring mothers receive and understand key breastfeeding information is a modifiable factor in efforts to increase breastfeeding duration rates.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".