[O4–08–03]: ACCEPTABILITY OF THE ‘RECLAIMING YOURSELF’ WRITING INTERVENTION FOR BEREAVED SPOUSES OF PERSONS WITH DEMENTIA
Bibliographic record
Abstract
Caregivers of persons with dementia are among those in the greatest need for support in bereavement (Jones, 2010) and they desire support after the death of their relative (e.g., Peacock, 2013; Shanley, Russell, Middleton, & Simpson-Young, 2011; Treloar, Crugel, & Adamis, 2009); despite this, there is a dearth of research on the development and effectiveness of bereavement interventions. To address this gap, the researchers developed a self-administered, psychosocial writing intervention to support bereaved spouses of persons with dementia (Peacock et al., 2016). The purpose of this presentation is to share the experiences of bereaved spouses who have used the Reclaiming Yourself tool. Twelve newly bereaved spouses (as part of a larger, multi-phase mixed methods study developing and evaluating the effectiveness and acceptability of the Reclaiming Yourself tool) participated in a semi-structured interview after using the tool for a one month period. Utilizing Thorne's (2008) interpretive description approach, interviews were transcribed verbatim and thematically analysed to explore the acceptability of the tool. Two men and ten women with an average age of 77.5 years and bereaved for an average of 9.75 months participated in an interview to share their experience with the tool. Analysis of the transcripts revealed three salient themes which captured participants’ perceptions of how the tool can facilitate bereavement: (a) recalling favourable memories of their spouse; (b) helping them to reflect on their feelings and progress; and (c) the act of writing itself as catharsis, reflection, and documentation. Participants readily shared that they could relate to the experiences and content presented in the tool, increasing its perceived acceptability. Although most participants reported that they felt the tool was invaluable in assisting them in their bereavement, several participants spoke at length about their experiences of grief pre-bereavement and the need for support tools during this time. Participants found the tool helpful and were grateful for the opportunity to reflect on their bereavement. The Reclaiming Yourself tool is a convenient, self-administered, and cost effective intervention that has the potential to support spouses and begin to address the lack of effective interventions for bereaved dementia caregivers.
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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 | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".