Pilot Evaluation of a Pragmatic Network for Integrated Care and Self‐Management in Parkinson's Disease
Bibliographic record
Abstract
BACKGROUND: Parkinson's disease (PD) is a chronic neurodegenerative disorder that challenges care provision. A multidisciplinary care model needs to be impactful, feasible, and viable economically for widespread utilization. Supportive evidence is lacking. OBJECTIVE: The objective of this study was to evaluate the implementation and impact of a pragmatic network for PD care, the Integrated Parkinson Care Network (IPCN). METHODS: A 6-month, pre-post design, single-center, phase 2 study for complex interventions for patients with newly diagnosed (<1 year) and advanced (diagnosis >8 years) PD was used to assess a patient-centered care model based on integrated care, self-management support, and technology-enabled care. We comprehensively assessed the implementation of care paths, change in selected health and care quality outcomes after the Integrated Parkinson Care Network program, and costs analyses. RESULTS: We recruited 100 participants in 6 months. Overall, the top care priorities were speech and communication (33.7%), anxiety and depression (31.6%), and mobility, balance, and falls (29.6%), and the most commonly (>45%) used resources were speech-language pathology, community seniors services, and physiotherapy. Care priorities were met successfully in 90.6% of the cases, and there was a positive change in the Parkinson's Disease Questionnaire-8 (2.7; 95% confidence interval, 0.4-5.0; statistically significant in the advanced group), the perception of support for chronic care (Patient Assessment of Chronic Illness Case score, 1.1; 95% confidence interval, 0.9-1.4), and self-management (5As score, 1.2; 95% confidence interval, 1.0-1.4). The total cost of the Integrated Parkinson Care Network was C$1367 per patient. CONCLUSIONS: A pragmatic development of a care delivery network based on integrated care and self-management support is promising for its feasibility, impact, and a sustainable cost. © 2020 International Parkinson and Movement Disorder Society.
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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 | 0.000 | 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 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".