Severe malaria-related disability in Ethiopian children from the perspectives of caregivers: an interpretive description study
Bibliographic record
Abstract
PURPOSE: This study explored severe malaria-related disability in children from the perspectives of their caregivers. MATERIALS AND METHODS: The interpretive description qualitative approach was employed. The participants were selected using the purposive sampling technique considering the child's history of severe malaria, age (0-10 years), and location (urban/rural). Data were collected through face-to-face interviews with sixteen caregivers. Reflexive thematic data analysis was utilized. Through prolonged engagement, reflective journaling, an audit trail, and co-authors' review, trustworthiness was enhanced. RESULTS: The study generated five themes from the interviews: mitigators of disability, contributors of disability, impact on body function, impact on activities and participation, and uncertainties about future well-being. The findings revealed previously unstudied social components of disability and environmental factors. Furthermore, the research uncovered health-related quality of life aspects that are out of the scope of the current comprehensive disability framework. CONCLUSIONS: The study contributes to a deeper understanding of severe malaria-related disability in children from the biopsychosocial perspective. The findings could help policymakers, researchers, and clinicians who want to design rehabilitation interventions for the affected children or examine the components of disability on a large scale using quantitative methods.IMPLICATIONS FOR REHABILITATIONVarious contextual factors interacted with severe malaria and influenced functioning either as facilitators or barriers, implying disability related to malaria can be prevented or created.The long-term impacts of severe malaria are not limited to functioning and disability but also affect the health-related quality of life of children who survive severe malaria.Rehabilitation professionals should consider applying comprehensive functioning and disability frameworks such as the ICF when designing (or applying) screening tools, planning interventions, and evaluating the outcomes of intervention for children with severe malaria-related disability.Rehabilitation interventions for children with severe malaria-related disability should consider patient- or caregiver-reported outcomes (components of disability).
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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 | 0.011 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".