Bibliographic record
Abstract
Parkinson's disease (PD) poses a number of challenges for individuals, affecting them physically, mentally, emotionally, and socially. The complex nature of PD necessitates empowering patients to address their unique needs and challenges, fostering improved health outcomes and a better quality of life. Patient empowerment is a multifaceted concept crucial to enhancing healthcare outcomes, particularly in chronic conditions such as PD. However, defining patient empowerment presents challenges due to its varied interpretations across disciplines and individuals. Essential components include access to information, development of self-care skills, and fostering a supportive environment. Strategies for patient empowerment encompass health literacy, education, and shared decision-making within a trusted healthcare provider-patient relationship. In PD, patient empowerment is crucial due to the disease's phenotypic variability and subjective impact on quality of life. Patients must navigate individualized treatment plans and advocate for their needs, given the absence of objective markers of disease progression. Empowerment facilitates shared decision-making and enables patients to communicate their unique experiences and management goals effectively. This paper provides a comprehensive overview of the dimensions and strategies associated with patient empowerment, its definition and the facilitators that are necessary, emphasizing its critical importance and relevance in Parkinson's management. At the end of this review is a personal perspective as one of the authors is a person with lived experience.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".