Development of Education and Research in Anesthesia and Intensive Care Medicine at the University Teaching Hospital in Lusaka, Zambia: A Descriptive Observational Study
Bibliographic record
Abstract
BACKGROUND: Data from 2006 show that the practice of anesthesia at the University Teaching Hospital in Lusaka, Zambia was underdeveloped by international standards. Not only was there inadequate provision of resources related to environment, equipment, and drugs, but also a severe shortage of staff, with no local capability to train future physician anesthetic providers. There was also no research base on which to develop the specialty. This study aimed to evaluate patient care, education and research to determine whether conditions had changed a decade later. METHODS: A mix of qualitative data and quantitative data was gathered to inform the current state of anesthesia at the University Teaching Hospital, Lusaka, Zambia. Semistructured interviews were conducted with key staff identified by purposive sampling, including staff who had worked at the hospital throughout 2006 to 2015. Further data detailing conditions in the environment were collected by reviewing relevant departmental and hospital records spanning the study period. All data were analyzed thematically, using the framework described in the 2006 study, which described patient care, education, and research related to anesthetic practice at the hospital. RESULTS: There have been positive developments in most areas of anesthetic practice, with the most striking being implementation of a postgraduate training program for physician anesthesiologists. This has increased physician anesthesia staff in Zambia 6-fold within 4 years, and created an active research stream as part of the program. Standards of monitoring and availability of drugs have improved, and anesthetic activity has expanded out of operating theaters into the rest of the hospital. A considerable increase in the number of cesarean deliveries performed under spinal anesthetic may be a marker for safer anesthetic practice. Anesthesiologists have yet to take responsibility for the management of pain. CONCLUSIONS: The establishment of international partnerships to support postgraduate training of physician anesthetists in Zambia has created a significant increase in the number of anesthesia providers and has further developed nearly all aspects of anesthetic practice. The facilitation of the training program by a global health partnership has leveraged high-level support for the project and provided opportunities for North-South and international learning.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".