Solar-powered oxygen delivery for the treatment of children with hypoxemia: protocol for a cluster-randomized stepped-wedge controlled trial in Uganda
Bibliographic record
Abstract
Abstract Background Child mortality due to pneumonia is a major global health problem and is associated with hypoxemia. Access to safe and continuous oxygen therapy can reduce mortality; however, low-income countries may lack the necessary resources for oxygen delivery. We have previously demonstrated proof-of-concept that solar-powered oxygen (SPO 2 ) delivery can reliably provide medical oxygen remote settings with minimal access to electricity. This study aims to demonstrate the efficacy of SPO 2 in children hospitalized with acute hypoxemic respiratory illness across Uganda. Methods Objectives : Demonstrate efficacy of SPO 2 in children hospitalized with acute hypoxemic respiratory illness. Study design: Multi-center, stepped-wedge cluster-randomized trial. Setting: Twenty health facilities across Uganda, a low-income, high-burden country for pediatric pneumonia. Site selection: Facilities with pediatric inpatient services lacking consistent O 2 supply on pediatric wards. Participants: Children aged < 5 years hospitalized with hypoxemia (saturation < 92%) warranting hospital admission based on clinical judgement. Randomization methods: Random installation order generated a priori with allocation concealment. Study procedure: Patients receive standard of care within pediatric wards with or without SPO 2 system installed. Outcome measures: Primary: 48-h mortality. Secondary: safety, efficacy, SPO 2 system functionality, operating costs, nursing knowledge, skills, and retention for oxygen administration. Statistical analysis of primary outcome: Linear mixed effects logistic regression model with 48-h mortality (dependent variable) as a function of SPO 2 treatment (before versus after installation), while adjusting for confounding effects of calendar time (fixed effect) and site (random effect). Sample size: 2400 patients across 20 health facilities, predicted to provide 80% power to detect a 35% reduction in mortality after introduction of SPO 2 , based on a computer simulation of > 5000 trials. Discussion Overall, our study aims to demonstrate mortality benefit of SPO 2 relative to standard (unreliable) oxygen delivery. The innovative trial design (stepped-wedge, cluster-randomized) is supported by a computer simulation. Capacity building for nursing care and oxygen therapy is a non-scientific objective of the study. If successful, SPO 2 could be scaled across a variety of resource-constrained remote or rural settings in sub-Saharan Africa and beyond. Trial registration Clinicaltrials.gov, NCT03851783 . Registered on 22 February 2019.
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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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".