The family caregivers' transitional experience of admitting a family member from home to the palliative care unit
Bibliographic record
Abstract
Canada's aging population and increasing incidence of cancer, in both older and younger adults (Canadian Cancer Society, 2007), has resulted in palliative care becoming a growing concern for Canadians. Family caregivers are expected to provide care to ill family members at home with limited training, support or community resources. While research has recognized numerous challenges of providing care at home along with the consequences on the caregiver, a thorough literature review showed little research has been published about the caregiver's transitional experience of admitting a family member from home to the palliative care unit (PCU). Thus, a Heideggerian phenomenology qualitative approach was used in this study to explore the question: What are the family caregivers' transitional experiences of admitting family members from home to the PCU? Ten participants completed in-depth interviews and Colaizzi's (1978) approach guided the study's analysis. The findings produced a framework entitled: Transitional Experiences of Family Caregivers: A Puzzle of Care Provision. It contained eight themes of "In the beginning - Searching for answers", "Managing at home - Juggling act", "Trying to get through it", "A shifting situation - Triggers leading to PCU admission", "The transition - Making the decision to go to PCU", "Getting near the end - PCU", "Looking back on care", and "Getting ready to move on". Follow up interviews verified that the themes and framework accurately described participants' experiences. This study is the first to thoroughly illustrate the family caregiver's transitional experience of caring for a family member from home to the PCU. It is hoped that this study raises greater awareness and understanding of the family caregivers' transitional experiences.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".