Contents of antenatal care services in Afghanistan: findings from the national health survey 2018
Notice bibliographique
Résumé
BACKGROUND: Maternal and newborn mortality is a public health concern in low- and middle-income countries (LMICs), including Afghanistan, where the evolving socio-political circumstances have added new complexities to healthcare service delivery. Birth outcomes for both pregnant women and their newborns are improved if women receive benefits of quality antenatal care (ANC). OBJECTIVES: This study aimed to assess the contents of ANC services and identify predictors of utilization of services by pregnant women during ANC visits to health facilities in Afghanistan. METHODS: In this cross-sectional study, we used data from the Afghanistan Health Survey 2018 (AHS2018). We included a total of 6,627 ever-married women, aged 14-49 years, who had given birth in the past 2 years or were pregnant at the time of survey and had consulted a health worker for ANC services in a health facility. The outcome was defined as 1-4 services and 5-8 services that a pregnant woman received during an ANC visit. The services were (i) taking a pregnant woman's blood pressure, (ii) weighing her, (iii) testing her blood, (iv) testing her urine, (v) providing advice on nutrition, (vi) advising about complicated pregnancy, (vii) advising about the availability of health services, and (viii) giving her at least one dose of Tetanus Toxoid (TT) vaccine. The binary outcome (1-4 services versus 5-8 services) was used in a multivariable logistic regression model. RESULTS: Of all 6,627 women, 31.4% (2,083) received 5-8 services during ANC visits. Only 1.3% (86) received all 8 services, with 98.7% (6,541) receiving between 1 and 7 services, and 71.6% (4,745) women had their blood pressure measured during ANC visits. The likelihood (adOR = Adjusted Odds Ratio) of receiving 5-8 services was higher in women who could read and write (adOR = 1.33: 1.15-1.54), in women whose husbands could read and write (adOR = 1.14: 1.00-1.28), in primipara women (adOR = 1.42: 1.02-1.98), in women who knew one danger sign (adOR = 5.38: 4.50-6.45), those who knew 2 danger signs (adOR = 8.51: 7.12-10.19) and those who knew ≥ 3 danger signs (adOR = 13.19: 10.67-16.29) of complicated pregnancy, and in women who had almost daily access to TV (adOR = 1.16: 1.01-1.33). However, the likelihood of receiving 5-8 services was lower in women who used private clinics (adOR = 0.64: 0.55-0.74) and who received services from nurses (adOR = 0.27 (0.08-0.88). CONCLUSION: Our findings have the potential to influence the design and implementation of ANC services of health interventions to improve the delivery of services to pregnant women during ANC visits.
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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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».