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 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 | 0.014 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".