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Record W4283689932 · doi:10.1136/bmjopen-2021-054642

Technology to improve reliable access to oxygen in Western Uganda: study protocol for a phased implementation trial in neonatal and paediatric wards

2022· article· en· W4283689932 on OpenAlexfundno aff
Sheillah Bagayana, Rami Subhi, Graham Moore, Joseph Mugerwa, D. J. Peake, Eleanor Nakintu, Daniel Murokora, R. P. Rassool, Marc Sklar, Hamish Graham, B. A. Sobott

Bibliographic record

VenueBMJ Open · 2022
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsnot available
FundersGrand Challenges Canada
KeywordsMedicineProtocol (science)Family medicinePediatricsIntensive care medicineAlternative medicinePathology

Abstract

fetched live from OpenAlex

Introduction Oxygen is an essential medicine for children and adults. The current systems for its delivery can be expensive and unreliable in settings where oxygen is most needed. FREO 2 Foundation Australia has developed an integrated oxygen system, driven by a mains-powered oxygen concentrator, with the ability to switch automatically between low-pressure oxygen storage device and cylinder oxygen in power interruptions. The aim of this study is to assess the clinical impact and cost-effectiveness of expanding this system to 20 community and district hospitals and level IV facilities in Western Uganda. Methods and analysis This will be a phased implementation with preintervention and postintervention comparison of outcomes. Standardised baseline data collection and needs assessment will be conducted, followed by implementation of the FREO 2 Oxygen System in combination with pulse oximetry in 1–2 facilities per month over a 16-month period, with a total 23-month data collection period. The primary outcome will be the proportion of hypoxaemic children receiving oxygen pre and post oxygen system. Secondary outcomes will assess clinical, economic and technical aspects. Pre and post oxygen system primary and secondary outcomes will be compared using regression models and standard tests of significance. Useability will be quantitatively and qualitatively evaluated in terms of acceptability, feasibility and appropriateness, using standardised implementation outcome measure tools. Ethics and dissemination Ethics approval was obtained from Mbarara University of Science and Technology (MUREC 1/7) and the University of Melbourne (2021-14489-13654-2). Outcomes will be presented to the involved facilities, and to representatives of the Ministry of Health, Uganda. Broader dissemination will include publication in peer-reviewed journals and academic conference presentations. Trial registration number ACTRN12621000241831.

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)0.034
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.069
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.033
Meta-epidemiology (narrow)0.0060.003
Meta-epidemiology (broad)0.0100.006
Bibliometrics0.0030.003
Science and technology studies0.0030.004
Scholarly communication0.0040.004
Open science0.0040.003
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0690.011

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 head0.170
GPT teacher head0.588
Teacher spread0.418 · 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 designNon-randomized 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

Citations5
Published2022
Admission routes1
Has abstractyes

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