How to Best Support Caregivers of Those with Neurocognitive Disorder: Preferred Modalities of Psychotherapy
Bibliographic record
Abstract
Caregivers of those with neurocognitive disorder (NCD) are currently not receiving clinical therapeutic counselling, to support their mental health needs. The current research shows that Canada’s public health care system is ill equipped to address the health care needs of our aging population which does not touch on the needs of caregivers including clinical therapeutic counselling which would support their mental and physical health. This problem will only increase as our aging population grows significantly as it is predicted to do. A review of existing literature that demonstrates what the risks are for caregivers of those with NCD and what supports them during a life space wrought with physical and emotional stress is documented in this paper. The critical review of existing literature determined that neurocognitive disorder significantly affects caregivers and family members with overwhelming feelings of frustration, loneliness, sadness and anxiety which is exasperated by a lack of psychological care, guidance and support (Guedes do Nascimento & Basos Figueiredo, 2019). Caregivers are at heightened risk to their physical and emotional health during a disease progression that last decades. This paper concludes with a proposed program that will provide clinical therapeutic counselling for caregivers and families of those with NCD. Lastly, the need for advocacy for such services to be legislated as a minimal service of care and funded through public funds is discussed.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".