Stigma Reduction Interventions of Dementia: A Scoping Review
Bibliographic record
Abstract
Despite its global importance and the recognition of dementia as an international public health priority, interventions to reduce stigma of dementia are a relatively new and emerging field. The purpose of this review was to synthesize the existing literature and identify key components of interventions to reduce stigma of dementia. We followed Arksey and O'Malley's scoping review process to examine peer-reviewed literature of interventions to reduce dementia-related stigma. A stigma-reduction framework was used for classifying the interventions: education (dispel myths with facts), contact (interact with people with dementia), mixed (education and contact), and protest (challenge negative attitudes). From the initial 732 references, 21 studies were identified for inclusion. We found a variety of education, contact, and mixed interventions ranging from culturally tailored films to intergenerational choirs. Findings from our review can inform the development of interventions to support policies, programs, and practices to reduce stigma and improve the quality of life for people with dementia.
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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 | 0.010 | 0.041 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.011 | 0.009 |
| 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) | 0.005 | 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".