Sociocultural determinants of nomadic women’s utilization of assisted childbirth in Gossi, Mali: a qualitative study
Bibliographic record
Abstract
BACKGROUND: In sub-Saharan Africa (SSA), nomads account for 30 to 60 million people. Their mobility, due to a constant search for pastures and water points, makes health services less accessible to them. Few nomadic women use assisted delivery, which increases the risk of maternal mortality. The reasons behind this limited use have been poorly documented. The objective of this study was to understand the sociocultural determinants of assisted childbirth by nomadic women. METHODS: We conducted a qualitative research in the health area of Gossi (Mali), mainly populated by nomads. Data were collected through a literature review, 26 semi-structured interviews, a non-participant observation, and a logbook. Nomadic women who gave birth in the past three months were included in the study, whether they used assisted delivery or not. A thematic content analysis was performed with QDA Miner software. RESULTS: The study identified a complex combination of determinants resulting in the use or non-use of assisted childbirth by the nomads of Gossi. Several participants recognized the value of assisted delivery but gave birth at home. They identified sociocultural determinants related to their representations and bodily experiences; the risks and emotions (fear, stress, anxiety) associated with pregnancy; the onset of labor and delivery; and their weak autonomy in terms of movement, decision-making, and economic agency. Nomadic women are not free in their movements, and in order to seek care, they require the permission and support of a man (husband, brother, or father). Furthermore, the participants are housewives, and men control family resources and make decisions regarding all financial matters. Assisted delivery is often only considered when there are complications. CONCLUSION: This research has made it possible to understand the sociocultural determinants of the use of assisted childbirth among nomadic women, which should be taken into account when organizing health services for these populations.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".