Healthcare providers and caregivers’ perspectives on factors responsible for persistent malnutrition of under 5 children in Buhweju district, South Western Uganda; a phenomenological qualitative study
Bibliographic record
Abstract
BACKGROUND: Unacceptably high levels of childhood malnutrition have been registered in all regions of Uganda over the years. Buhweju district alone contributed 46% prevalence of childhood malnutrition to the 47.8% estimated national prevalence for the whole of western Uganda in 2014. This study assessed health provider and caregiver opinions on factors responsible for persistent malnutrition among under five children in Engaju and Nyakishana sub counties. METHODS: In this phenomenological qualitative study, we conducted two key informant interviews and six focus group discussions with Village Health Team members and care takers of under five children in Engaju and Nyakishana sub-counties respectively.to explore their opinions on the factors responsible for persistent malnutrition in Buhweju District in May 2018. Data were thematically analyzed manually and using Atals Ti 7.5. RESULTS: Historical and geographical challenges, poverty and economic occupation, parental alcoholism and domestic violence as well as inadequate childcare services were identified as factors responsible for persistent malnutrition among under five children in Engaju and Nyakishana sub counties. CONCLUSION: Persistent malnutrition in under five children is mainly due to historical and geographical challenges and its associated factors that include poverty and economic occupation, parental alcoholism and domestic violence and inadequate childcare services. Thus literacy education for mothers and young adolescent boys and girls through engaging local leaders, local nongovernmental organizations and Companies operating in the district to contribute to social services provision would limit the domestic violence and increase sensitization on male responsibilities in the children care in Buhweju district.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 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".