Treatment Gaps in Parkinson’s Disease Care in the Philippines
Bibliographic record
Abstract
Neurological services and resources are scarce in low-income and developing countries, such as the Philippines. We looked into the treatment gaps in Parkinson's disease (PD) care in the Philippines in the following areas: epidemiology, healthcare, financial coverage, pharmacotherapy, surgical treatment and manpower. We collected relevant data on the above-mentioned areas. There is no available Philippine data on PD prevalence. Philippine healthcare is paid through user fees at the point of service. The average consultation fee in Manila ranges from US$10.57-31.74. The average minimum daily wage is US$9.39-10.17. Philippine healthcare is devolved to the local government units. Deep brain stimulation surgery is only available in Manila. Most PD medications are available in the Philippines. There are only nine movement disorder specialists for a population of 100.98 million. Gaps and challenges in PD care in the Philippines still exist.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".