Blood utilization at a national referral hospital in sub‐Saharan Africa
Bibliographic record
Abstract
BACKGROUND: A safe and adequate supply of blood is critical to improving health care systems in sub-Saharan Africa, where little is known about the current use of blood. The aim of this study was to comprehensively describe the use of blood at a tertiary care hospital to inform future efforts to strengthen blood programs in resource-limited settings. STUDY DESIGN AND METHODS: Data were collected from blood bank documentation for all units issued at Mulago Hospital Complex in Kampala, Uganda, from mid-January to mid-April 2014. RESULTS: A total of 6330 units (69% whole blood, 32% red blood cells, 6% platelets, 2% plasma) were issued over the 3-month study period to 3662 unique patients. Transfusion recipients were 58% female and median age was 27 years (interquartile range [IQR], 14-41). Median pretransfusion hemoglobin was 5.6 g/dL (IQR, 4.0-7.2 g/dL, n = 1090). Strikingly, cancer was the top indication for transfusion (33.5%), followed by pregnancy-related complications (12.4%) and sickle cell disease (6.9%). CONCLUSION: This study provides a comprehensive picture of blood use at a national referral hospital in sub-Saharan Africa. Noncommunicable diseases, particularly oncologic conditions, represent a large proportion of demand for transfusion services.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".