Visible and invisible cultural patterns influencing women’s use of maternal health services among Igala women in Nigeria: a focused ethnographic study
Bibliographic record
Abstract
BACKGROUND: Explicit and implicit cultural patterns are critical cultural norms, beliefs, and practices that determine women's health-seeking behaviour. These cultural patterns could limit women's use of maternal health services, resulting in maternal health complications. The study aims to provide an in-depth understanding of explicit and implicit cultural patterns, their meanings and how they influence women's use of maternal health services among Igala women in Nigeria. METHODS: Roper and Shapira's (2000) focused ethnography was employed with 43 women aged 18-43 years recruited using the purposive and snowballing technique. The study was conducted with 21 women for one-on-one interviews and two focus group discussions with six women in the rural area and seven women in the urban area. In addition, participant observation of nine women from the third trimester to birth was conducted, yielding 189 h of observation in two primary healthcare facilities in rural and urban areas. Data analysis was conducted using Roper and Shapira's (2000) method. RESULT: Three themes were generated using the PEN3 cultural model: perceptions, enabler, and nurturers. Subthemes generated under the theme of perception were, Belief in witchcraft, Pregnancy announces itself, I cannot tell people I am in labour, and Unspoken acquiescence to the culture. Under the theme of nurturer, Home birth was found to limit access to maternal health services. The theme of enabler yielded subthemes such as You are not woman enough; I want my placenta and Rising matriarchs. CONCLUSION: Implicit and explicit cultural patterns significantly influence women's use of maternal health services. Given the complexity of culture and its influence on women's use of maternal health services, multifaceted strategies tailored to the cultural needs of communities are needed to enhance the realization of Sustainable Development Goal #3:1 in 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".