Is Distribution a Problem in Iron-Folic Acid Consumption in India? An Exploration of District Level Household Survey
Notice bibliographique
Résumé
Aims: Anemia accounts for 40% of maternal deaths in India. In order to address this problem, the Government of India implemented the largest programme with the greatest potential to reduce maternal mortality by free distribution of Iron-Folic Acid (IFA) supplementations especially during Antenatal Care (ANC) visits. But the major concern among the policymakers and researchers has been poor adherence to the supplement among pregnant women. However, we tend to think that given the severity of the problem, there is no investigation on the adherence issue. Hence, the aim of the paper is to understand whether IFA consumption by pregnant women in India is largely a distribution problem of IFA supplements through ANC. Background: The distribution of Iron-Folic Acid (IFA) supplementation is not working especially through Antenatal Care (ANC) attendance. The program implementers believe that it is because of lack of adherence to IFA supplements by pregnant women. It is important to investigate the problem before any policy changes are made without proper evidence. Objectives: The purpose of this study is to examine whether the problem of IFA consumption by pregnant women is due to the problem of public distribution of IFA supplements through ANC attendance. Methods: This study had used the fourth round of District Level Household Survey data, which collects information on IFA supplements, their distribution and consumption. Bivariate and tri-variate analyses were used to understand the relationship between IFA distribution to pregnant women and their consumption patterns in 19 Indian states and two Union Territories (UTs) of pregnant women (88,487) and between the age of 15-49 years. Results: In almost all the states except Chhattisgarh, more than 75% of the pregnant women consumed 100 or more IFA supplements when they received 100 or more IFA supplements from providers. Similar is the case even among those women who received 100 or more IFA supplements through 1 or 2 ANC attendance except Arunachal Pradesh (60%), Meghalaya (67%), Pondicherry (57%) and Andaman and Nicobar (0%). The consumption of IFA supplements among pregnant women gets better than 75% if they receive 100 or more supplements only after attending three or more ANCs. Conclusion: It seems that distribution is a problem in the consumption of IFA supplements by pregnant women in India. Full antenatal attendance by the women could be part of the problem but not supplying at least 100 IFA supplementations to even those who attend ANC due to stock-outs and ineffective management is a serious concern. Hence, Governments should distribute at least the recommended 100 IFA supplements to the women in their 1st ANC attendance to address anaemia.
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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 | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| 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 ».