Impact of attitude and knowledge on intention to breastfeed: Can mHealth based education influence decision to breastfeed exclusively?
Bibliographic record
Abstract
BACKGROUND: Exclusive breastfeeding has been endorsed as the healthiest feeding choice for newborns. This study aims to assess impact of expecting mothers' knowledge and attitude toward intention to breastfeed exclusively. Utilizing mobile health (mHealth) as educational tool can offer a widely distributed and affordable platform to promote exclusive breastfeeding. RESEARCH AIMS AND QUESTIONS: This study aims to assess impact of expecting mothers' knowledge, attitude and beliefs on decision to breastfeed exclusively. Furthermore, it purposes mobile health (mHealth) as educational tool offering a widely distributed, affordable and accessible platform to promote exclusive breastfeeding. METHODS: The study was conducted in prenatal clinics' waiting areas to interview expecting mothers utilizing a translated version of Infant Feeding Practices Survey II (IFPS II, CDC). After completing the survey, an educational video was shown utilizing a tablet and the question was re-asked about intention toward breastfeeding exclusively. RESULTS: Most expecting mothers indicated having some awareness about breastfeeding (67%) but only 46.1% intended to initiate exclusive breastfeeding early in life prior to the intervention. Moreover, only 53.7% believed breastfeeding is the best nutritional choice. Actually, 39.5% of participants considered breastfeeding equal to formula. Most working mothers complained of lack of workplace support to breastfeed. Also, they were not comfortable breastfeeding in front of others except spouse. Additionally, most participants found nurses and media as poor information resources. Resources utilizing social media and Internet were found useful. After watching the educational video, the majority expressed positive intention to breastfeed exclusively (80.8%). Positive intentions were associated with advance maternal age, prior breastfeeding knowledge and willingness to hear experts' opinions. CONCLUSION: Saudi women have limited knowledge about exclusive breastfeeding and early initiation. They feel unprepared, unsupported, lack resources and socially challenged. An educational material utilizing mHealth can alter intentions to breastfeed exclusively.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".