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Record W2993322394 · doi:10.1186/s13063-019-3752-2

Solar-powered oxygen delivery for the treatment of children with hypoxemia: protocol for a cluster-randomized stepped-wedge controlled trial in Uganda

2019· article· en· W2993322394 on OpenAlexafffund
Nicholas Conradi, Qaasim Mian, Sophie Namasopo, Andrea L. Conroy, Laura Hermann, Charles Olaro, Jackson Amone, Robert O. Opoka, Michael Hawkes

Bibliographic record

VenueTrials · 2019
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsStollery Children's HospitalKelowna General HospitalWomen and Children’s Health Research InstituteUniversity of Alberta HospitalUniversity of Alberta
FundersGrand Challenges CanadaWomen and Children's Health Research Institute
KeywordsMedicineHypoxemiaRandomized controlled trialPsychological interventionCluster randomised controlled trialEmergency medicinePediatricsIntensive care medicineNursingSurgeryAnesthesia

Abstract

fetched live from OpenAlex

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 (SPO2) delivery can reliably provide medical oxygen remote settings with minimal access to electricity. This study aims to demonstrate the efficacy of SPO2 in children hospitalized with acute hypoxemic respiratory illness across Uganda. Methods Objectives: Demonstrate efficacy of SPO2 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 O2 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 SPO2 system installed. Outcome measures: Primary: 48-h mortality. Secondary: safety, efficacy, SPO2 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 SPO2 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 SPO2, based on a computer simulation of > 5000 trials. Discussion Overall, our study aims to demonstrate mortality benefit of SPO2 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, SPO2 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.035
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.019
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0090.004
Bibliometrics0.0020.002
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0350.004

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.

Opus teacher head0.116
GPT teacher head0.445
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

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".

Quick stats

Citations7
Published2019
Admission routes2
Has abstractyes

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