Enacted and implied stigma for dementia in a community in south‐west Nigeria
Bibliographic record
Abstract
BACKGROUND: Dementia is a chronic progressive disease that mostly affects the elderly. There is often a stigma surrounding dementia patients because of poor awareness about the disease. In Nigeria, this stigma and related attitudes have not been fully explored. In this study, we assessed the attitude of people towards demented individuals in a transitional community in Nigeria. METHODS: The study used a mixed methods approach. Focused group discussions exploring the concept of dementia were conducted among six community groups, and quantitative data was obtained from an interviewer-administered questionnaire. A total of 313 respondents were selected with a cluster sampling technique. RESULTS: Only 212 respondents (67.7%) were aware of dementia. 'Memory loss disease', 'ageing disease', 'disease of insanity', 'brain disorder', 'disease of forgetfulness', and 'dull brain' are the common names used to describe dementia in the community. Enacted stigma was evident as 36% of respondents felt dementia was associated with shame and embarrassment in the community. Implied stigma was evident in another third that opined that demented individuals would prefer not to know or let others know that they have the disease. Also, 28% were of the opinion that people do not take those with dementia seriously. Of the 22 (10.4%) that reported having received structured information about dementia, 16 (72.7%) got the information from health facilities. Qualitative data revealed the presence of enacted stigma in the community as some referred to affected individuals by derogatory names such as 'madman'. Some statements from the focus group discussion participants also gave useful insights into the scorn with which demented individuals are sometimes treated. CONCLUSION: The presence of enacted and implied stigma related to dementia within the community calls for concern. More research efforts are needed to unravel the burden of stigma within communities and best practice for stigma-reducing interventions.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".