The Emotional Experiences of Family Carers in Huntington Disease
Bibliographic record
Abstract
Aim This paper is a report of a study conducted to examine the emotional experience of caregiving by family carers of people with Huntington disease and to describe strategies they used to deal with that experience. Background Huntington disease, commonly diagnosed in young to middle adulthood, is an inherited single gene disorder involving loss of cognitive, motor and neuropsychiatric function. Many family members become caregivers as well as continuing as parents and wage earners. The emotional aspects of caregiving contribute to mental health risks for family members. Methods Focus groups were conducted with 42 adult carers of people with Huntington disease in four United States and two Canadian Huntington disease centers between 2001 and 2005. Data were analyzed through descriptive coding and thematic analysis. Findings All participants reported multiple aspects of emotional distress. Being a carer was described as experiencing disintegration of one’s life. Carers attempted to cope by seeking comfort from selected family members, anticipating the time when the care recipient had died and/or using prescription medications. Spousal carers were distressed by the loss of their relationship with their spouse and dealt with this by no longer regarding the person as an intimate partner. Carers were concerned about the disease risk for children in their families and hoped for a cure. Conclusion Emotional distress can compromise the well-being of family carers, who attempt to maintain multiple roles. Nurses should monitor carer mental health, identify sources of emotional distress and support effective strategies used by carers to mediate distress.
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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 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".