Using a Trauma-Informed Care Approach to Understand Family Caregivers’ Experiences of Accessing Formal Supports in Dementia Care
Bibliographic record
Abstract
Family caregivers provide essential care and support for individuals living with dementia, yet their contributions and needs are often unrecognized within formal health care systems. Over time, this marginalization can contribute to long-term trauma. Guided by a trauma-informed care (TIC) framework, we explored the experiences of 15 family caregivers in a longitudinal, qualitative study. Set in British Columbia, Canada, data were collected through semi-structured interviews and reflective diaries. Data were analyzed using inductive-deductive thematic analysis. Deductive analyses demonstrated that participants' experiences aligned with existing TIC principles. Inductive analysis identified "Uncertainty" as a novel principle, reflecting the ongoing challenges caregivers face from diagnosis to the inadequacy of in-home supports. Our study highlights the importance of recognizing trauma induced by interactions with formal health care services and the value of using a TIC approach with family caregivers of people living with dementia.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.018 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".