International Practice Recommendations for the Recognition and Management of Hearing and Vision Impairment in People with Dementia
Bibliographic record
Abstract
INTRODUCTION: Hearing, vision, and cognitive impairment commonly co-occur in older people. However, the rate of recognition and appropriate management of combined hearing and vision impairment in people with dementia impairment is low. The aim of this work was to codevelop internationally relevant, multidisciplinary practice recommendations for professionals involved in the diagnosis, care, and management of older people with these concurrent conditions. METHODS: We applied consensus methods with professional and lay expert stakeholders, using an adapted version of the World Health Organization Handbook for Guideline Development. The development involved 4 phases and included: (1) collating existing evidence, (2) filling the gaps in evidence, (3) prioritising evidence, and (4) refining the final list of recommendations. Each phase encompassed various methodologies including a review of existing guidelines within the 3 clinical domains, systematic reviews, qualitative studies, a clinical professional consortium, surveys, and consensus meetings with interdisciplinary domain experts. RESULTS: The task force evaluated an initial list of 26 recommendations, ranking them in the order of priority. A consensus was reached on 15 recommendations, which are classified into 6 domains of "awareness and knowledge," "recognition and detection," "evaluation," "management," "support," and "services and policies." Pragmatic options for implementation for each domain were then developed. CONCLUSION: This is the first set of international, interdisciplinary practice recommendations that will guide the development of multidisciplinary services and policy to improve the lives of people with dementia and hearing and vision impairment.
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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 | 0.078 | 0.199 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.009 |
| Bibliometrics | 0.015 | 0.010 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.011 | 0.010 |
| Research integrity | 0.014 | 0.014 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".