“We have either obsolete knowledge, obsolete equipment or obsolete skills”: policy-makers and clinical managers’ views on maternal health delivery in rural Nigeria
Bibliographic record
Abstract
OBJECTIVE: The objective of this paper is to explore policy-makers and clinical managers' views on maternal health service delivery in rural Nigeria. DESIGN: This is a qualitative study using key informant interviews. Participants' responses were audio recorded and reflective field notes supplemented the transcripts. Data were further analysed with a deductive approach whereby themes were organised based on existing literature and theories on service delivery. SETTING: The study was set in Esan South East (ESE) and Etsako East (ETE), two mainly rural local government areas of Edo state, Nigeria. PARTICIPANTS: The study participants consisted of 13 key informants who are policy-makers and clinical managers in ESE and ETE in Edo state. Key informants were chosen using a purposeful criterion sampling technique whereby participants were identified because they meet or exceed a specific criterion related to the subject matter. RESULTS: Respondents generally depicted maternal care services in primary healthcare centres as inaccessible due to undue barriers of cost and geographic location but deemed it acceptable to women. Respondents' notion of quality of service delivery encompassed factors such as patient-provider relationships, hygienic conditions of primary healthcare centres, availability of skilled healthcare staff and infrastructural constraints. CONCLUSION: This study revealed that while some key aspects of service delivery are inadequate in rural primary healthcare centres, there are promising policy reforms underway to address some of the issues. It is important that health officials advocate for strong policies and implementation strategies.
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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 | 0.014 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".