Constraints to maternal healthcare access among pastoral communities in the Darussalam area of Mudug region, Somalia “a qualitative study”
Bibliographic record
Abstract
Background: While countries embrace efforts to achieve Sustainable Development Goals (SDG) goal 3.1 (to reduce the global maternal mortality ratio to less than 70 per 100,000 live births by 2030 and end preventable deaths of new-borns and children), an estimated 2.5 million pastoralists in Somalia are struggling to access maternal and child healthcare services. Institutional delivery and access to antenatal care remained to be a challenge in Somalia, where pastoralism is a common means of livelihood. The aim of this study is to explore the maternal health services available for settled pastoralists (transhumant) and their families who still practice nomadic pastoralism in the Mudug region of Somalia. Methods: A qualitative study, including 14 interviews and one FGD, was conducted in Darussalam village (a transhumant village along the border between Somalia and Ethiopia), Puntland State, from December 2022 to January 2023. The study participants were community members who support the maternal and child health clinic (MCH), village administration, and health providers. Results: We found that the efficiency of the health facilities that serve for pastoralist women and children are hampered by staff-related, supply-related, patients-related and referral-related constraints. This study highlights that the absence of essential supplies, the unmet need for training among the staff as well as the absence of important facilities in the MCH such as ambulance and blood bags. Conclusion: Numerous strides could be made in the provision of affordable maternal healthcare to pastoralist communities in Darussalam areas of the Mudug region when organizations that support health care in Somalia and the Ministry of Health include pastoralists' healthcare in their priorities.
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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 | 0.003 | 0.003 |
| 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 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".