Mothers’ perception of childhood injuries, child supervision and care practices for children 0–5 years in a peri-urban area in Central Uganda; implications for prevention of childhood injuries
Bibliographic record
Abstract
BACKGROUND: Injuries are a major concern in childhood. They are especially associated with high morbidity, disability and death in low-income countries. This study aimed at describing mothers' perceptions, child supervision and care practices for children 0-5 years old and how these influence prevention of childhood injuries among children in peri-urban areas of Wakiso district, Uganda. METHODS: In this qualitative study, 10 in-depth interviews and 4 focus group discussions were held with mothers of children aged 0-5 years living in peri-urban areas of Wakiso district, Uganda. The interviews were audio recorded in the local language (Luganda). The audios were transcribed verbatim and later translated into English. We conducted thematic analysis for transcripts from the focus group discussions and in-depth interviews. RESULTS: Most respondents considered injuries as inevitable events among children, although, they acknowledged the impact of injuries on children's health. Close child supervision was highlighted as key in preventing injuries. Hostile situations that place children at increased risk of injuries in this setting include: lack of adult supervision, harsh punishments and lack of safe play areas. CONCLUSION: Our study highlights the different aspects of child care in low resource settings which put children at an increased risk of injuries. Injury prevention programs for children living in low resource settings should thus be aimed towards improving caregivers' perceptions towards injuries, child supervision, care practices and the children play environment.
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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 | 0.001 | 0.005 |
| 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 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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".