Healthcare worker perspectives on mother’s insufficient milk supply in Malawi
Notice bibliographique
Résumé
BACKGROUND: Human milk insufficiency is a significant barrier to implementing breastfeeding, and it is identified as a prevalent concern in 60-90% of mothers in low-and-middle-income countries. Breastmilk insufficiency can lead to hypoglycemia, hypernatremia, nutritional deficiencies, and failure to thrive in newborns and infants. Studies investigating the impact of breastfeeding interventions to improve milk production highlight inconsistencies between healthcare workers and mothers perceived support, as well as gaps in practical knowledge and training. The aim of this study was to determine perceptions surrounding human milk insufficiency from Malawian healthcare workers. METHODS: This study is a secondary analysis of 39 interviews with healthcare workers from one tertiary and three district hospitals in Malawi employing content analysis. Interviewed healthcare workers included nurses, clinical officers, midwives, and medical doctors. An inclusive coding framework was developed to identify themes related to human milk insufficiency, which were analyzed using an iterative process with NVivo12 software. Researchers focused on themes emerging from perceptions and reasons given by healthcare workers for human milk insufficiency. RESULTS: Inability to produce adequate breastmilk was identified as a prevalent obstacle mothers face in the early postpartum period in both district and tertiary facilities in Malawi. The main reasons given by participants for human milk insufficiency were mothers' perceived normalcy of milk insufficiency, maternal stress, maternal malnutrition, and traditional beliefs around food and eating. Three focused solutions were offered by participants to improve mother's milk production - improving education for mothers and training for healthcare providers on interventions to improve mother's milk production, increasing breastfeeding frequency, and ensuring adequate maternal nutrition pre- and post-partum. CONCLUSION: Health care workers perspectives shed light on the complexity of causes and solutions for human milk insufficiency in Malawi. This research highlights that a respectful professional relationship between health care workers and mothers is an essential bridge to improving communication, detecting human milk insufficiency early, and implementing appropriate interventions. The results of this study may help to inform research, clinical practice, and education in Malawi to improve human milk production.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».