Tools of the trade: a comparative analysis of approaches to priority setting in healthcare
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
In many countries, local managers and clinicians have been given responsibility to set health priorities and allocate resources accordingly. Although tools have been suggested for use in aiding this process, knowledge of these tools within health regions is lacking and comparative analysis in the literature is limited. Several approaches to priority setting are critiqued from both practical and theoretical perspectives, and a tangible way forward for such activity is provided. The approaches analysed include: needs assessment, core services, economic evaluation including quality-adjusted life year league tables, and programme budgeting and marginal analysis (PBMA). Needs assessment fails to recognize underlying economic principles of opportunity cost and the margin, while core services ignores the margin and has had limited impact in practice. Economic evaluations can consider marginal costs and benefits, but cannot always be used to inform decisions in a timely manner. PBMA is based on underlying economic principles and can pragmatically respond to objectives related to both efficiency and equity. Although PBMA is not without challenges, from an economic perspective, it does seem to "get the thinking right", and, importantly, as a process, can incorporate some of the other approaches to priority setting discussed in this paper.
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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 | 0.047 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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