Medical practice variations: what the literature tells us (or does not) about what are warranted and unwarranted variations
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
This paper examines the sources of practice variations and definitions of unwarranted variation, as derived from the literature. The literature suggests variables/factors related to patient health needs, doctor 'practice style' and environmental constraints/opportunities as sources of practice variations. However, this list is likely to be incomplete because of significant unexplained variation in each study. Furthermore, it is unclear which factors are sources of unwarranted variation because the reviewed studies do not clearly discriminate between those variations that are unwarranted and those that are not. It is also unclear if context plays a role in determining if and when a factor is unwarranted. The literature contains few frameworks of what constitutes unwarranted variation. Among those offered, more information is needed regarding the scientific basis for including the selected factors, and how to operationalize the framework provided a particular one is chosen. A clear and consistent framework for unwarranted variation, and a clear indication how each component factor could be measured and integrated can help investigators determine which variables should be included in their studies, such that the sources of unwarranted variations may be identified. A better understanding of the role of patient preference as a potential source of practice variations is also required.
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 | 0.063 | 0.217 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.007 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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