Evaluating the occupation-based complex intervention for living well with anxiety and Parkinson’s disease (OBtAIN-PD) in community rehabilitation teams in the UK: a feasibility cluster randomised controlled trial protocol
Bibliographic record
Abstract
INTRODUCTION: Anxiety is a common non-motor symptom of Parkinson's that is associated with reduced life quality, independence and health outcomes. Current anxiolytic medications and the most promising behavioural interventions have inconclusive and mixed results. Occupational therapy is effective at promoting participation in activities of daily living and is recommended in national guidelines. This cluster randomised controlled trial aims to test the feasibility and fidelity of a new occupation-based complex intervention for living well with anxiety in Parkinson's disease (OBtAIN-PD). No such evidence-based intervention currently exists. METHODS AND ANALYSIS: 50 people with Parkinson's will be recruited from Devon, UK, to undertake the OBtAIN-PD or usual care delivered by community-based occupational therapists across two National Health Service sites. Recruitment, attrition rates and feasibility of proposed outcome measures (Canadian Occupational Performance Measure, Generalised Anxiety Disorder-7, The Parkinson's Disease Questionnaire-39, Activity Card Sort, Barthel Index and fall logs) will be tested. Resource data will be collected to aid in the feasibility assessment. Fidelity to content will be assessed using process evaluation. Subjective experiences will be explored qualitatively (10 participants, occupational therapists and decliners). ETHICS AND DISSEMINATION: This trial has been registered with the ISRCTN registry. Ethical approval has been obtained from the North East - York Research Ethics Committee (reference 23/NE/0027) before data collection. Participants will receive a summary of the results at the end of the data analysis. We will publish the results in a peer-reviewed journal and on institution websites. TRIAL REGISTRATION NUMBER: ISRCTN62762494.
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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 | 0.029 | 0.021 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.009 | 0.004 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.044 | 0.007 |
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".