Older women’s experiences of companion animal death: impacts on well-being and aging-in-place
Bibliographic record
Abstract
BACKGROUND: Companion animal death is a common source of grief, although the extent and context of that grief is poorly understood, especially in older adulthood. The aim of this multiple-methods study was to develop a greater understanding of the impact of companion animal death on older women living alone in the community, as older women are a distinct at-risk group, and the supports that should be available to help these individuals with their grief. METHODS: Participants were recruited from across Alberta, a Canadian province, through seniors' organizations, pet rescue groups, and social media groups of interest to older women. After completing a pre-interview online questionnaire to gain demographic information and standardized pet attachment and grief measures data, participants were interviewed through the Zoom ® computer program or over the telephone. An interpretive description methodology framed the interviews, with Braun and Clarke's 6-phase analytic method used for thematic analysis of interview data. RESULTS: In 2020, twelve participants completed the pre-interview questionnaires and nine went on to provide interview data for analysis. All were older adult (age 55+) women, living alone in the community, who had experienced the death of a companion animal in 2019. On the standardized measures, participants scored highly on attachment and loss, but low on guilt and anger. The interview data revealed three themes: catastrophic grief and multiple major losses over the death of their companion animal, immediate steps taken for recovery, and longer-term grief and loss recovery. CONCLUSIONS: The findings highlight the importance of acknowledging and addressing companion animal grief to ensure the ongoing well-being and thus the sustained successful aging-in-place of older adult women in the community.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".