Effect of a multifaceted intervention on the utilisation of primary health for maternal and child health care in rural Nigeria: a quasi-experimental study
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to determine the effectiveness of a set of multifaceted interventions designed to increase the access of rural women to antenatal, intrapartum, postpartum and childhood immunisation services offered in primary healthcare facilities. DESIGN: The study was a separate sample pretest-post-test quasi-experimental research. SETTING: The research was conducted in 20 communities and primary health centres in Esan South East and Etsako East Local Government Areas in Edo State in southern Nigeria PARTICIPANTS: Randomly selected sample of ever married women aged 15-45 years. INTERVENTIONS: Seven community-led interventions implemented over 27 months, consisting of a community health fund, engagement of transport owners on emergency transport of pregnant women to primary health centres with the use of rapid short message service (SMS), drug revolving fund, community education, advocacy, retraining of health workers and provision of basic equipment. PRIMARY AND SECONDARY OUTCOME MEASURES: The outcome measures included the number of women who used the primary health centres for skilled pregnancy care and immunisation of children aged 0-23 months. RESULTS: After adjusting for clustering and confounding variables, the odds of using the project primary healthcare centres for the four outcomes were significantly higher at endline compared with baseline: antenatal care (OR 3.87, CI 2.84 to 5.26 p<0.001), delivery care (OR 3.88, CI 2.86 to 5.26), postnatal care (OR 3.66, CI 2.58 to 5.18) and childhood immunisation (OR 2.87, CI 1.90 to 4.33). However, a few women still reported that the cost of services and gender-related issues were reasons for non-use after the intervention. CONCLUSION: We conclude that community-led interventions that address the specific concerns of women related to the bottlenecks they experience in accessing care in primary health centres are effective in increasing demand for skilled pregnancy and childcare in rural Nigeria.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".