Thriving beyond survival: Understanding utilization of perinatal health services as predictors of birth registration: A cross-sectional study
Bibliographic record
Abstract
BACKGROUND: There are an estimated 35 million unregistered children in Indonesia. To understand ways to best leverage existing health system-related resources and ensure greater protective measures for these vulnerable children, this study explores the predictive relationship between the utilization of perinatal health services and birth certificate ownership in two Indonesian provinces. METHODS: This study employed a cross-sectional design with interviewer-administered household surveys to heads of households in West Nusa Tenggara and East Nusa Tenggara from May to July of 2013. The primary outcome of interest was birth certificate ownership among children under the age of 5 years old. Bivariate and multivariable regression analyses using Generalized Estimating Equations (GEE) considered a set of covariates that represented child and household socio-demographic characteristics along with health services utilization variables during pregnancy and post-pregnancy periods. RESULTS: 389 heads of households were interviewed, yielding data on a sample of 451 children under the age of 5. Fewer than 28% of children in this sample possessed a birth certificate. Nearly 57% (n = 259) of children were delivered in a clinical facility, though only 36% (n = 93) of these were legally registered. Of children born in the home (n = 194), registration dropped to 16% (n = 31). Adjusted analyses accounting for socio-demographic factors suggest that children born in a clinic facility (AOR = 2.33, 95% CI: 1.27, 4.33), hospital (AOR = 2.38, 95% CI: 1.12, 5.09), or in the presence of a skilled birth attendant (AOR = 2.35, 95% CI: 1.31, 4.23) were significantly more likely to be registered. Children whose mothers sought post-natal care were 2.99 times more likely to possess a birth certificate (AOR = 2.99, 95% CI: 1.1, 7.57). Pre-natal care was not associated with birth registration. CONCLUSION: These findings suggest that use of perinatal health services increases the likelihood of registering a child's birth despite a lack of formal integration of vital registration with the health sector. Formally leveraging existing community-based health workers and perinatal services may serve to further increase registration rates in hard to reach areas of Indonesia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".