Determinants of health care seeking behaviour during pregnancy in Ogun State, Nigeria
Bibliographic record
Abstract
BACKGROUND: In Nigeria, women too often suffer the consequences of serious obstetric complications that may lead to death. Delay in seeking care (phase I delay) is a recognized contributor to adverse pregnancy outcomes. This qualitative study aimed to describe the health care seeking practices in pregnancy, as well as the socio-cultural factors that influence these actions. METHODS: The study was conducted in Ogun State, in south-western Nigeria. Data were collected through focus group discussions with pregnant women, recently pregnant mothers, male decision-makers, opinion leaders, traditional birth attendants, health workers, and health administrators. A thematic analysis approach was used with QSR NVivo version 10. RESULTS: Findings show that women utilized multiple care givers during pregnancy, with a preference for traditional providers. There was a strong sense of trust in traditional medicine, particularly that provided by traditional birth attendants who are long-term residents in the community. The patriarchal c influenced health-seeking behaviour in pregnancy. Economic factors contributed to the delay in access to appropriate services. There was a consistent concern regarding the cost barrier in accessing health services. The challenges of accessing services were well recognised and these were greater when referral was to a higher level of care which in most cases attracted unaffordable costs. CONCLUSION: While the high cost of care is a deterrent to health seeking behaviour, the cost of death of a woman or a child to the family and community is immeasurable. The use of innovative mechanisms for health care financing may be beneficial for women in these communities to reduce the barrier of high cost services. To reduce maternal deaths all stakeholders must be engaged in the process including policy makers, opinion leaders, health care consumers and providers. Underlying socio-cultural factors, such as structure of patriarchy, must also be addressed to sustainably improve maternal health. TRIAL REGISTRATION: NCT01911494.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".