Community-Level Variation
Cross-source consensus on Community-Level Variation from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Evidence quality
Highlighted claims
- The final model attributed 12.3% of total TIBF variation to differences between clusters. — Random-effects modelling of timely initiation of breastfeeding in Tanzania: What predicts the practice?
- Community or contextual factors meaningfully influence breastfeeding initiation beyond individual maternal characteristics. — Random-effects modelling of timely initiation of breastfeeding in Tanzania: What predicts the practice?
- Remaining cluster variation suggests unmeasured contextual influences on timely breastfeeding initiation. — Random-effects modelling of timely initiation of breastfeeding in Tanzania: What predicts the practice?
- Potential contextual contributors include maternity waiting homes, baby-friendly hospital policy implementation, staffing, cultural norms, traditional birth attendants, and community health education. — Random-effects modelling of timely initiation of breastfeeding in Tanzania: What predicts the practice?