Dementia Knowledge and Care Experience of Physicians in The South‐South Region of Nigeria: A Mixed Method Study
Bibliographic record
Abstract
BACKGROUND: . However, little is known about physicians' capacity and experience in dementia care, especially in low- and middle-income countries like Nigeria. The aim of the present study was to assess physicians' dementia knowledge and diagnostic approach in the south-south region of Nigeria. METHOD: This pilot study was a cross-sectional mixed study conducted among fifteen (15) physicians across five healthcare facilities in the south-south region of Nigeria. Quantitative data comprising of socio-demographics and dementia knowledge scales were collected using a self-administered questionnaire. Key informant interviews (KIIs) exploring the experience of physicians in the diagnosis of dementia were also conducted among participants. RESULT: Fifteen physicians were purposively recruited for this study. The overall mean knowledge score of participants was 17.67 ± 3.29 out of a maximum possible score of 25. About half (53.3%) of study respondents had good dementia knowledge assessment scores. Care experienced by physicians from the qualitative findings was grouped into five themes to include: 1) Rate of dementia cases seen at the facility with low cases of dementia patients reported 2) Tools used for diagnosis of dementia with the Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment are commonly reported. 3) Training of physicians on assessment and management of dementia cases with no formal training reported by participants 4) Clinical investigations conducted for dementia patients with MRI and CT were commonly reported 5) Communication of the diagnosis of dementia with the patients and their caregivers CONCLUSION: Routine update training to enhance the capacity of healthcare professionals in the diagnosis and management of dementia cases is needed. Also, healthcare facilities should be equipped with cutting-edge facilities to enhance diagnosis and management of 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".