Qualitative exploration of emotional and social changes from diagnosis to bereavement for spousal caregivers of persons with dementia
Bibliographic record
Abstract
OBJECTIVES: To understand how bereaved spousal caregivers of persons with dementia perceive and respond to changes over the course of their spouse's disease, from diagnosis into bereavement. DESIGN: Qualitative interview study with convenience sampling and thematic analysis approach. PARTICIPANTS: Participants included eight women and two men (n=10) who had been spousal caregivers for a person with dementia prior to his/her death. Participants were older adults who self-reported good health and were bereaved longer than a year. SETTING: Data collected in a small Canadian prairie city between fall 2014 and winter 2015. FINDINGS: Two overarching themes were developed as important components of participants' caregiving journey: emotional reactions to change and variation in social connectedness throughout the caregiving and bereavement journey. Four key sub-themes developed through the analysis of emotional reactions to events: memorable grief overshadows persistent grief, a progressive feeling of hopelessness and overwhelmed, relief is common but hidden and gratitude is a milestone in a constructive bereavement. Three key variations of social connectedness throughout the caregiving and bereavement journey were developed: the importance of social inclusion throughout a caregiving and bereavement journey, the repeated loss of companionship and withdrawing from social interactions is contingent on needs. CONCLUSIONS: The findings suggest that emotional changes throughout caregiving and bereavement are not linear. The need for support from family, friends and new social supports is influential in enabling the caregiver to move forward during caregiving and bereavement.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".