Development and evaluation of a decision aid for patients with stage IV non‐small cell lung cancer
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
Although guidelines for treating stage IV non-small cell lung cancer suggest that the patient's values should be considered in decision-making, there are no practical tools available to assist them with their decision-making. OBJECTIVE: To develop and evaluate a decision aid that incorporates patient values. DESIGN AND SAMPLE: (1) Before/after evaluation with patients referred to a regional cancer centre. (2) Mailed survey of thoracic surgeons and respirologists in Ontario. INTERVENTION: An audio-tape guided individuals to review a booklet describing stage IV non-small cell lung cancer, its impact and possible coping strategies, treatment options, benefits and risks, and examples of the decision-making of others. Patients then used a worksheet to consider and communicate personal issues involved in the choice, including: personal values using a 'weigh-scale'; questions; preferred role in decision-making; and predisposition. MEASURES: (1) Patient questionnaires eliciting knowledge, the decision, decisional conflict and acceptability of the decision aid. (2) Physician questionnaires eliciting attitudes toward the decision aid. RESULTS: (1) Twenty of 30 patients used the aid in decision-making. Users thought that the aid was acceptable and significantly improved their knowledge about options and outcomes (P < 0.001), and reduced their decisional conflict (P < 0.001). (2) The majority of the 29 physicians who reviewed the decision aid found it acceptable, were comfortable providing it to patients and said that they were likely to use it. CONCLUSION: The decision aid is a useful and acceptable adjunct to personal counselling.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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