Knowledge of Parkinson’s Disease in a Multiethnic Urban Asian Setting
Bibliographic record
Abstract
BACKGROUND: Public knowledge regarding Parkinson's disease (PD) is important to facilitate good health-seeking behavior, but the literature on this topic is scarce. OBJECTIVE: We aimed to explore the level of public knowledge regarding PD in a large multiethnic urban Asian cohort, and (as a secondary aim) in a smaller cohort of PD patients and caregivers. METHODS: A Knowledge of PD Questionnaire (KPDQ) was developed and administered to members of the Malaysian general public, and to PD patients and caregivers. The KPDQ tests recognition of PD symptoms and general knowledge regarding PD. RESULTS: 1,258 members of the general public completed the KPDQ. Tremor was the most widely recognized symptom (recognized by 79.0% of respondents); however, 83.7% incorrectly believed that all PD patients experience tremor. Memory problem was the most widely recognized NMS. Overall, motor symptoms were better recognized than NMS. Common misperceptions were that there is a cure for PD (49.8%) and that PD is usually familial (41.4%). Female gender, Chinese ethnicity, tertiary education, healthcare-related work, and knowing someone with PD were independently associated with higher KPDQ scores. PD patients (n = 116) and caregivers (n = 135) demonstrated superior knowledge compared with the general public group, but one-third of them believed that PD is currently curable. CONCLUSIONS: This is the only study on public knowledge regarding PD in Asia. Important gaps in knowledge were evident, which could present a barrier to early diagnosis and appropriate treatment of PD. This highlights the need for targeted education campaigns and further research in this area.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".