Using a 'talk' model of shared decision making to propose an observation-based measure: Observer OPTION 5 Item
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
OBJECTIVE: To propose a revised Observer OPTION measure of shared decision making. METHODS: We analyzed published models to identify the core components of a parsimonious conceptual framework of shared decision making. By using this framework, we developed a revised measure combining data from an observational study of clinical practice in Canada with our experience of using Observer OPTION(12 Item). RESULTS: Our conceptual framework for shared decision making composed of justifying deliberative work, followed by the steps of describing options, information exchange, preference elicitation, and preference integration. By excluding items in Observer OPTION(12 Item) that were seldom observed or not aligned to a robust construct, we propose Observer OPTION(5 Item). CONCLUSION: Although widely used, Observer OPTION(12 Item) did not give sufficient attention to preference elicitation and integration, and included items that were not specific to a core construct of shared decision making. We attempted to remedy these shortcomings by proposing a shorter, more focused measure. PRACTICE IMPLICATIONS: Observer OPTION(5 Item) requires evaluation; we hope that it will be useful as both a research tool and as a formative measure of clinical practice.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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