“I had to change my attitude”: narratives of most significant change explore the experience of universal home visits to pregnant women and their spouses in Bauchi State, Nigeria
Notice bibliographique
Résumé
BACKGROUND: Universal home visits to pregnant women and their spouses in Bauchi State, northern Nigeria, discussed local evidence about maternal and child health risks actionable by households. The expected results chain for improved health behaviours resulting from the visits was based on the CASCADA model, which includes Conscious knowledge, Attitudes, Subjective norms, intention to Change, Agency to change, Discussion of options, and Action to change. Previous quantitative analysis confirmed the impact of the visits on maternal and child outcomes. To explore the mechanisms of the quantitative improvements, we analysed participants' narratives of changes in their lives they attributed to the visits. METHODS: Local researchers collected stories of change from 23 women and 21 men in households who had received home visits, from eight male and eight female home visitors, and from four government officers attached to the home visits program. We used a deductive thematic analysis based on the CASCADA results chain to analyze stories from women and men in households, and an inductive thematic approach to analyze stories from home visitors and government officials. RESULTS: The stories from the visited women and men illustrated all steps in the CASCADA results chain. Almost all stories described increases in knowledge. Stories also described marked changes in attitudes and positive deviations from harmful subjective norms. Most stories recounted a change in behaviour attributed to the home visits, and many went on to mention a beneficial outcome of the behaviour change. Men, as well as women, described significant changes. The home visitors' stories described increases in knowledge, increased self-confidence and status in the community, and, among women, financial empowerment. CONCLUSIONS: The narratives of change gave insights into likely mechanisms of impact of the home visits, at least in the Bauchi setting. The compatibility of our findings with the CASCADA results chain supports the use of this model in designing and analysing similar interventions in other settings. The indication that the home visits changed male engagement has broader relevance and contributes to the ongoing debate about how to increase male involvement in reproductive health.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».