From definitions to implementation – A guide to collect and apply the Lancet Commission on Global Surgery indicators: An Utstein consensus report
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Metrics for surgery, obstetrics, and anesthesia are crucial for implementing programs and monitoring progress toward safe and effective healthcare systems in pursuit of universal healthcare. A suite of metrics put forward by the Lancet Commission on Global Surgery has been adopted in principle by global health, anaesthesia, and surgical leadership in diverse settings. However, barriers to implementation limit their value. Barriers include inconsistencies in definitions and methodologies such as inadequate consideration given to sampling frames, representativeness, categorizations, missing data, and data collection infrastructure. Using the Utstein consensus methodology, we developed a uniform approach to collecting metrics in surgery, obstetrics, and anesthesia. We created a standard toolkit to facilitate the rapid implementation of the Lancet Commission indicators. The metadata and data dictionaries allow a standardized assessment of preparedness for, delivery of, and the effect of care at the population level.
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.
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 | 0.003 | 0.001 |
| 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 | 0.001 |
| 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 it