Inadequacy of primary health care test request guidelines - lack of an evidence base : clinical practice : SAMJ forum
Bibliographic record
Abstract
Evidence suggests that 3 - 4% of patient encounters in primary health care result in blood tests being requested. There is compelling evidence of significant misuse and poor utilisation of many laboratory tests, which results in an economic burden and other problems including further investigation of false-positive results. Patients have high expectations that blood tests be performed and have little understanding of the limitations of testing. The frequency of test ordering is much higher in the USA and Canada, for example, than in the UK, without any overt difference in the quality of care. There are suggestions that 30 - 50% of tests are unnecessary, and that about 15% of abnormal results are not acted upon.
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 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 | 0.363 | 0.625 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.017 | 0.014 |
| Open science | 0.008 | 0.009 |
| Research integrity | 0.032 | 0.025 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".