Savings ownership and the use of maternal health services in Indonesia
Bibliographic record
Abstract
In low- and middle-income countries (LMICs), many women of reproductive age experience morbidity and mortality attributable to inadequate access to and use of health services. Access to personal savings has been identified as a potential instrument for empowering women and improving access to and use of health services. Few studies, however, have examined the relation between savings ownership and use of maternal health services. In this study, we used data from the Indonesian Family Life Survey to examine the relation between women's savings ownership and use of maternal health services. To estimate the effect of obtaining savings ownership on our primary outcomes, specifically receipt of antenatal care, delivery in a health facility and delivery assisted by a skilled attendant, we used a propensity score weighted difference-in-differences approach. Our findings showed that acquiring savings ownership increased the proportion of women who reported delivering in a health facility by 22 percentage points [risk difference (RD) = 0.22, 95%CI = 0.08-0.37)] and skilled birth attendance by 14 percentage points (RD = 0.14, 95%CI = 0.03-0.25). Conclusions were qualitatively similar across a range of model specifications used to assess the robustness of our main findings. Results, however, did not suggest that savings ownership increased the receipt of antenatal care, which was nearly universal in the sample. Our findings suggest that under certain conditions, savings ownership may facilitate the use of maternal health services, although further quasi-experimental and experimental research is needed to address threats to internal validity and strengthen causal inference, and to examine the impact of savings ownership across different contexts.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".