Oxygen insecurity and mortality in resource‐constrained healthcare facilities in rural Kenya
Bibliographic record
Abstract
INTRODUCTION: Pneumonia is the leading cause of death globally in children. Supplemental oxygen reduces mortality but is not available in many low-resource settings. Inadequate power supply to drive oxygen concentrators is a major contributor to this failure. The objectives of our study were to (a) assess the availability of therapeutic oxygen; (b) evaluate the reliability of the electrical supply; and (c) investigate the effects of suboptimal oxygen delivery on patient outcomes in selected healthcare facilities in rural Kenya. MATERIALS AND METHODS: A cross-sectional descriptive study on oxygen availability and descriptive case series of Kenyan children and youth hospitalized with hypoxemia. RESULTS: Two of 11 facilities had no oxygen equipment and nine facilities had at least one concentrator or cylinder. Facilities had a median of seven power interruptions per week (range: 2-147). The median duration of the power outage was 17 minutes and the longest was more than 6 days. The median proportion of time without power was out 7% (range: 1%-58%). Fifty-seven patients hospitalized with hypoxemia (median oxygen saturation 85% [interquartile range {IQR}: 82-87]) were included in our case series. Patients received supplemental oxygen for a median duration of 4.6 hours (IQR: 3.0-7.8). Eighteen patients (32%) faced an oxygen interruption of the median duration of 11 minutes (IQR: 9-20). A back-up cylinder was used in 5/18 (28%) cases. The case fatality rate was 11/57 (19%). CONCLUSION: Mortality due to hypoxemia remains unacceptably high in low-resource healthcare facilities and may be associated with oxygen insecurity, related to lack of equipment and/or reliable power.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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".