Development of two shortened systematic review formats for clinicians
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
BACKGROUND: Systematic reviews provide evidence for clinical questions, however the literature suggests they are not used regularly by physicians for decision-making. A shortened systematic review format is proposed as one possible solution to address barriers, such as lack of time, experienced by busy clinicians. The purpose of this paper is to describe the development process of two shortened formats for a systematic review intended for use by primary care physicians as an information tool for clinical decision-making. METHODS: We developed prototypes for two formats (case-based and evidence-expertise) that represent a summary of a full-length systematic review before seeking input from end-users. The process was composed of the following four phases: 1) selection of a systematic review and creation of initial prototypes that represent a shortened version of the systematic review; 2) a mapping exercise to identify obstacles described by clinicians in using clinical evidence in decision-making; 3) a heuristic evaluation (a usability inspection method); and 4) a review of the clinical content in the prototypes. RESULTS: After the initial prototypes were created (Phase 1), the mapping exercise (Phase 2) identified components that prompted modifications. Similarly, the heuristic evaluation and the clinical content review (Phase 3 and Phase 4) uncovered necessary changes. Revisions were made to the prototypes based on the results. CONCLUSIONS: Documentation of the processes for developing products or tools provides essential information about how they are tailored for the intended user. One step has been described that we hope will increase usability and uptake of these documents to end-users.
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 | 0.156 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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