Understanding Perceptions and Practices for Designing an Appropriate Community-Based Kangaroo Mother Care Implementation Package: Qualitative Exploratory Study
Bibliographic record
Abstract
BACKGROUND: Low birth weight (LBW) is a common outcome of preterm birth, which increases the risk of an infant's morbidity and mortality. Approximately 20 million infants are born with LBW globally per year. Since a significant number of births in Pakistan take place at home, it is important to focus on the use of kangaroo mother care (KMC), the practice of skin-to-skin contact, in communities to prevent neonatal mortality and morbidity. OBJECTIVE: We employed a formative research approach to understand the context of communities and facilities with regard to neonatal care and KMC practice. The broader aims were to inform the design and delivery of culturally appropriate platforms to introduce KMC in communities, and develop effective recruitment and retention strategies of KMC in rural areas of the Dadu district in the Sindh province of Pakistan. METHODS: We conducted focus group discussions, in-depth interviews, and key informant interviews with families of LBW babies, community members, health care providers, and hospital administrators to identify barriers, enablers, and a knowledge base for KMC interventions. RESULTS: Newborn care practices in communities were found to be suboptimal. The community was generally unaware of the KMC intervention for the care of LBW babies. However, facility health care providers, the community, and family members were willing to provide KMC to improve outcomes. We found significant support from the community members and health care providers for KMC practices. Mothers were also ready to provide intermittent KMC. The administrative staff at the hospitals accepted the introduction of KMC practices for LBW babies. CONCLUSIONS: KMC as a method of treating LBW babies is widely accepted in the community. This formative research provides strategically valuable information that will be helpful for developing effective implementation strategies by identifying common community practices for LBW babies, along with identifying the barriers and enablers to KMC practice.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".