Evidence-Based Decision Aid for Patients With Parkinson Disease: Protocol for Interview Study, Online Survey, and Two Randomized Controlled Trials
Bibliographic record
Abstract
BACKGROUND: Shared decision making is particularly important in situations with different treatment alternatives. For the treatment of idiopathic Parkinson disease, both pharmacological and surgical approaches can be applied. OBJECTIVE: In this research project, a series of studies will be conducted to investigate how decision aids for patients with idiopathic Parkinson disease should be designed in order to support the decision-making process. METHODS: In Study 1a, qualitative interviews will be conducted to determine which needs frequently occur for patients with idiopathic Parkinson disease. In Study 1b, the identified needs will then be rated for personal relevance by an independent group of patients in an online survey. In Study 2, a randomized controlled trial will be used to pretest different decision aids in a sample group of people who do not have a medical background and who do not have Parkinson disease. In Study 3, a randomized controlled trial will be used to investigate the effect of the decision aids that had been evaluated as positive in Study 2 with patients who have idiopathic Parkinson disease. RESULTS: This series of studies received ethical approval in January 2020. As of June 2020, data collection for Study 1a has started, and it is estimated that Studies 1a, 1b, 2, and 3 will take approximately 4, 4, 6, and 6 months to complete, respectively. It is planned to present the results and analyses at international conferences and to submit the results to peer-reviewed journals for publication, once the studies have been completed. The findings will also be shared with clinicians and patients through presentations at information events. CONCLUSIONS: This series of studies is intended to result in an evidence-based decision aid for patients with idiopathic Parkinson disease in order to support the informed and reflected shared decision-making process. We further intend to contribute to a deeper understanding of the individual preferences of patients with idiopathic Parkinson disease and the impact of those preferences on treatment decisions.
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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 | 0.118 | 0.100 |
| Meta-epidemiology (narrow) | 0.006 | 0.004 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.056 | 0.007 |
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".