Mothers’ choice of health management services for under-five children with common illnesses: evaluating social workers’ impact in Nigerian health sector
Bibliographic record
Abstract
INTRODUCTION: Every child deserves the right to life. In Nigeria like other African countries, a high burden of child mortality prevails. Attaining a low-mortality rate of children entails that mothers who are the primary caregivers are in the best position to provide quality healthcare management. METHOD: With the phenomenological approach in qualitative research, the researchers sourced data using Focus Group Discussions (FGDs) and In-Depth Interviews (IDI) from 38 mothers of various categories. The participants were purposively selected from four government and mission health institutions in a semi-urban Nsukka town, Enugu State. Data were analyzed thematically. FINDINGS: Results revealed that mothers utilize health institutions including government, mission, private, pharmacies and patent medicine vendors when seeking healthcare for their children. Their inability to recognize potential life-threatening conditions is the leading factor in increasing child mortality. Findings show that because participants were concerned about financial challenges; they were ready to adopt traditional medicine as an alternative to modern medicine. The study showed evidence of unsafe strategies mothers adopt for the health management of their under-five children with common illnesses. Participants indicated little knowledge of social workers' engagement in health institutions. CONCLUSION: Healthy living is essential in the protection from illnesses. Since under-five children are vulnerable to illnesses, their mothers should provide them with quality healthcare management. The study recommends that social workers' engagement with health providers and users in semi-urban societies could help propagate healthcare awareness and strategies in mothers' choice of health management for under-five children in Nigeria. Overall, adequate health policy consideration should be given to all under-five children in Nigeria.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".