Measurement of Improvement Achieved by Participation in International Laboratory Accreditation in Sub-Saharan Africa
Bibliographic record
Abstract
OBJECTIVES: As part of the ISO 15189:2007 accreditation process, the Aga Khan University Hospital Nairobi laboratory became the first internationally accredited hospital laboratory in sub-Saharan Africa outside South Africa in 2011 through the South Africa National Accreditation System. METHODS: Seven preanalytic, 10 analytic, eight postanalytic, and five administrative performance parameters were monitored from 2009 to 2012 to measure the impact of the accreditation process. RESULTS: Most measures in all four categories showed substantial improvement. The seven preanalytic measures all showed major improvement-between a quarter and a half sigma. Real but less dramatic improvement appeared in analytic and postanalytic measures, but greater than one sigma decrease in analytic "procedure violations" and a three-quarter sigma decrease in excessive turnaround time were noted in these categories. Administrative improvements included dramatic decreases in misdirected and missing reports and complaints. CONCLUSIONS: This study demonstrates the correlation of the accreditation process with improvement in quality measures in a low-resource region.
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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 | 0.011 | 0.014 |
| 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 | 0.001 |
| 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".