Contents of antenatal care services in Afghanistan: findings from the national health survey 2018
Bibliographic record
Abstract
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".