A Scoping Review of Educational and Training Interventions on Parkinson’s Disease for Staff in Care Home Settings
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: Parkinson's disease (PD) is a complex neurodegenerative disorder that presents significant challenges for care home residents and staff. This scoping review aimed to synthesize evidence on PD education and training available to care home staff, examine existing programs and their effectiveness, and identify gaps in current educational approaches. METHODS: A scoping review (ScR) was conducted and guided by the Preferred Reporting Items for Systematic Reviews and Meta-analysis extension for ScR (PRISMA-ScR) checklist. A comprehensive search of six electronic databases was conducted in September 2024. Studies focusing on PD education and training for care home staff were included. Data extraction and quality appraisal were performed, followed by thematic analysis to identify key patterns and themes. RESULTS: Seven studies met the inclusion criteria. The thematic analysis revealed four main themes: improvements in PD knowledge and confidence, improvements in care practices and outcomes, the need for increased specialist education, and the incorporation of communication training. Educational interventions led to significant improvements in staff knowledge, confidence, and care practices. However, these studies also highlighted a critical need for more specialized PD training among care home staff. CONCLUSIONS: This review provides evidence of promise regarding the potential impact of PD-specific education on care home staff knowledge and practices. Future research should focus on developing and evaluating comprehensive, tailored educational programs to enhance the quality of care for people with PD in care home settings.
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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 | 0.017 | 0.058 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.013 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".