Inequalities in ownership and availability of home-based vaccination records in 82 low- and middle-income countries
Notice bibliographique
Résumé
INTRODUCTION: Home-based records (HBRs) are widely used for recording health information including child immunisations. We studied levels and inequalities in HBR ownership in low-income and middle-income countries (LMICs) using data from national surveys conducted since 2010. METHODS: We used data from national household surveys (Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS)) from 82 LMICs. 465 060 children aged 6-35 months were classified into four categories: HBR seen by the interviewer; mother/caregiver never had an HBR; mother/caregiver had an HBR that was lost; and reportedly have an HBR that was not seen by the interviewer. Inequalities according to age, sex, household wealth, maternal education, antenatal care and giving birth in an institutional setting were studied, as were associations between HBR ownership and vaccine coverage. Pooled analyses were carried out using country weights based on child populations. RESULTS: An HBR was seen for 67.8% (95% CI 67.4% to 68.2%) of the children, 9.2% (95% CI 9.0% to 9.4%) no longer had an HBR, 12.8% (95% CI 12.5% to 13.0%) reportedly had an HBR that was not seen and 10.2% (95% CI 9.9% to 10.5%) had never received one. The lowest percentages of HBRs seen were in Kiribati (22.1%), the Democratic Republic of Congo (24.5%), Central African Republic (24.7%), Chad (27.9%) and Mauritania (35.5%). The proportions of HBRs seen declined with age and were inversely associated with household wealth and maternal schooling. Antenatal care and giving birth in an institutional setting were positively associated with ownership. There were no differences between boys and girls. When an HBR was seen, higher immunisation coverage and lower vaccine dropout rates were observed, but the direction of this association remains unclear. INTERPRETATION: HBR coverage levels were remarkably low in many LMICs, particularly among children from the poorest families and those whose mothers had low schooling. Contact with antenatal and delivery care was associated with higher HBR coverage. Interventions are urgently needed to ensure that all children are issued HBRs, and to promote proper storage of such cards by families.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».