Co-designing an Integrated Care Network With People Living With Parkinson’s Disease: From Patients’ Narratives to Trajectory Analysis
Bibliographic record
Abstract
An integrated care model for people living with Parkinson's disease (PD) offers the promise of meeting complex care needs in a person-centered way that addresses fragmentation and improves quality of life. The purpose of our research was to co-design a care delivery model that supports both social and medical care from the perspective of patients and care partners. In the first step of our co-design approach, participants from five countries were invited to share their experiences of living with PD during a narrative interview. A qualitative analysis of these narrative interviews based on the Corbin and Strauss model was done to map out patients' trajectories. Three typical trajectories were identified: (a) the "unpredictable" trajectory, (b) the "situated" trajectory, and (c) the "demanding" trajectory. Based on the analysis of these trajectories, we were able to integrate various patient experiences into the design of an integrated care network.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".