Empowering interventions for people living with dementia: A European survey
Bibliographic record
Abstract
AIMS: We aim to identify existing empowerment interventions for people living with dementia and to explore which used interventions and projects are considered empowering and why. DESIGN: This was an online survey. METHODS: We conducted an online survey between May 2018 and July 2018 amongst professionals interested in dementia care in Europe. Interventions were clustered within the ecological model for health promotion. Reasons from respondents as to why they considered interventions to be empowering were analysed and structured according to a recently developed conceptual framework of empowerment for people living with dementia. RESULTS: Seventy-three respondents from 23 countries together mentioned 98 interventions or projects, of which 90 were unique. Interventions focused on the (inter)personal (n = 54), organizational (n = 15), communal (n = 6) and societal (n = 15) levels. A broad range of interventions were considered empowering, but no interventions were specifically developed for, nor aimed at, empowerment. Reasons as to why respondents considered these interventions as empowering fitted the framework's domains. CONCLUSION: This European survey provides insights into interventions considered empowering for people living with dementia. An important step that needs to be taken is to develop and test interventions that specifically aim to promote empowerment for people living with dementia. IMPACT: Empowerment may encourage people with dementia to live the life they choose, and focus on what is possible, instead of what is no longer possible. Many interventions are considered as empowering for people living with dementia, however no interventions could be identified that were specifically developed for or aimed at empowerment. This study shows that for promoting empowerment, it is necessary to develop and test interventions that specifically aim for empowerment, do this in collaboration with relevant stakeholders, and in this way support people living with dementia to live according to their competencies, talents and wishes.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".