Patient choice modules for summaries of clinical effectiveness: a proposal
Bibliographic record
Abstract
Evidence based health care has become the accepted basis of good clinical practice, and many efforts are being made to implement it. Evidence based patient choice, defined as offering patients research based information and the opportunity to influence decisions about their treatment and care, has yet to achieve the same status. We believe, however, that it is fundamental to high quality patient care. In our ideal world difficult or controversial healthcare decisions would routinely involve health professionals deliberating with patients about the harms and benefits of all available options, as well as patients' treatment goals and risk tolerance. For key medical decisions, patients and doctors would expect to work through the evidence and decide on a course of action together. Patients who wished to delegate decision making to a doctor or surrogate decision maker would still be given the information that they wanted. Various strategies may be needed to achieve this widespread implementation of evidence based patient choice. 1 2 In this article we focus on a strategy to improve the accessibility of information resources to support evidence based patient choice. The books, journals, and websites that currently provide evidence based information about the effectiveness of healthcare interventions could provide the infrastructure to support patients' participation in evidence based decision making. These information sources should incorporate consumer focused summaries of relevant research evidence and links or pointers to well designed and tested decision aids for patients. These summaries should be made available to patients before, during, and after consultations. Doctors and health systems could use and distribute them as an adjunct to clinical care. They would also be available to the public generally. The news and information media, patient groups, and others would draw on patient choice summaries to present the benefits and limitations of medical screening and treatment. ### Summary points Evidence …
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 | 0.083 | 0.286 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.012 | 0.018 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.016 | 0.010 |
| Insufficient payload (model declined to judge) | 0.167 | 0.074 |
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".