Development of a decision aid to support decision making in laser therapy for patients with primary angle closure
Bibliographic record
Abstract
ObjectiveDevelop a decision aid for laser therapy of patients with primary angle closure based on the shared decision-making concept to provide professional decision support for patients，improve the quality of decision-making and promote shared decision⁃making.MethodsBased on the Ottawa Decision Support Framework and International Patient Decision Aids Standard，the first draft of the laser therapy decision aid for patients with primary angle closure was developed through literature analysis.Through two rounds of expert consultation，integrating input from experts in the fields of glaucoma clinical medicine，ophthalmic nursing and public health management，resulting in a revised version.Clinical investigation was conducted to understand the evaluation of the acceptability of the tool by patients and medical staffs，and the tool was further refined to form the final draft.ResultsA total of 19 experts completed this expert consultation with a positivity of 95.0% and an authority factor of 0.918.After two rounds of expert consultation，the Kendall's W for each indicator of the tool were 0.131，0.224 and 0.187 respectively（P<0.05），indicating that the experts were more accepting of the content of the tool and had a good degree of harmonization of opinions.Clinical investigation found a high level of acceptance of the tool by patients and medical staffs，who found it easy to understand and use，and able to assist in decision-making.The final laser therapy decision aid for patients with primary angle closure contains 7 primary indicators：clarify decision，assess decision needs，provide information，analyse risk-benefit，clarify values，guide decision making and confirm decision，15 secondary indicators and 32 tertiary indicators.ConclusionThe laser therapy decision aid for patients with primary angle closure is scientifically and clinically applicable，and provides a scientific and effective means of supporting patient participation in their own safety management and achieving shared decision⁃making.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.037 | 0.102 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".