Translating reablement research for dementia practice: development of a handbook using implementation science
Bibliographic record
Abstract
PURPOSE: Reablement is a strategy recommended in clinical practice guidelines that could maximise functioning and quality of life in people living with dementia. This project sought to develop a practical handbook for health professionals illustrating the best, currently available evidence via newly-developed composite reablement programs. MATERIALS AND METHODS: Handbook development occurred over five phases, informed by Normalisation Process Theory: (1) literature review, (2) sector interviews to explore how handbook implementation may impact practice, (3) workshop to determine final handbook content, (4) reablement program synthesis and handbook development, and (5) dissemination and implementation planning to support optimal uptake and normalisation within the sector. RESULTS: = 24 participants) outcomes informed the final eight reablement programs sorted by functional outcomes (everyday living activities; mobility and physical function; and cognition and communication). A technical guide and consumer information booklet were developed to support the handbook. A comprehensive handbook implementation plan involving dynamic assessment and monitoring was developed. CONCLUSIONS: The reablement handbook provides a practical and accessible avenue to support function in people with dementia. Robust, coordinated dissemination, implementation and assessment of the new resource across a range of practice settings is now required.Implications for rehabilitationDementia leads to disability and dependence, impacting the person with dementia, their family and society.Reablement, an approach consistent with rehabilitation, is a strategy recommended in clinical practice guidelines that could maximise functional performance and quality of life in people living with dementia.This study describes development of a freely available evidence-informed reablement handbook designed to support delivery of high-quality reablement programs by allied health/nursing professionals for people living with dementia.Outcomes have potential to inform future implementation work and to ultimately improve the quality of services offered within the dementia sector.
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 | 0.216 | 0.243 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".