Perspectives of policymakers and health providers on barriers and facilitators to skilled pregnancy care: findings from a qualitative study in rural Nigeria
Bibliographic record
Abstract
BACKGROUND: The uptake of skilled pregnancy care in rural areas of Nigeria remains a challenge amid the various strategies aimed at improving access to skilled care. The low use of skilled health care during pregnancy, childbirth and postpartum indicates that Nigerian women are paying a heavy price as seen in the country's very high maternal mortality rates. The perceptions of key stakeholders on the use of skilled care will provide a broad understanding of factors that need to be addressed to increase women's access to skilled pregnancy care. The objective of this study was therefore, to explore the perspectives of policymakers and health workers, two major stakeholders in the health system, on facilitators and barriers to women's use of skilled pregnancy care in rural Edo State, Nigeria. METHODS: This paper draws on qualitative data collected in Edo State through key informant interviews with 13 key stakeholders (policy makers and healthcare providers) from a range of institutions. Data was analyzed using an iterative process of inductive and deductive approaches. RESULTS: Stakeholders identified barriers to pregnant women's use of skilled pregnancy care and they include; financial constraints, women's lack of decision-making power, ignorance, poor understanding of health, competitive services offered by traditional birth attendants, previous negative experience with skilled healthcare, shortage of health workforce, and poor financing and governance of the health system. Study participants suggested health insurance schemes, community support for skilled pregnancy care, favourable financial and governance policies, as necessary to facilitate women's use of skilled pregnancy care. CONCLUSIONS: This study adds to the literature, a rich description of views from policymakers and health providers on the deterrents and enablers to skilled pregnancy care. The views and recommendations of policymakers and health workers have highlighted the importance of multi-level factors in initiatives to improve pregnant women's health behaviour. Therefore, initiatives seeking to improve pregnant women's use of skilled pregnancy care should ensure that important factors at each distinct level of the social and physical environment are identified and addressed.
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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 | 0.013 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".