Caring for Terminally Ill Cancer Persons
Bibliographic record
Abstract
Background: Previous studies about family caregivers of terminally ill cancer persons in Thailand focused on primary family caregivers individually. Experiences drawn from one family caregiver are not sufficient to describe the entire family experience. In order to promote family well-being, it is essential to explore the perspective of family caregivers in the context of the family as a unit. Objective: To gain a better understanding of the experiences of family caregivers in caring for terminally ill cancer persons in the context of Thai culture. Methods: A focused ethnographic approach was used as methodology. Purposive sampling was used to recruit 13 families and 26 family caregivers. The family system theory was used to explain the effects within the entire system. Participant observation and in-depth interviews were conducted. Data were analyzed by using content analysis. Results: Findings indicated that regarding the experiences of Thai family caregivers in caring for terminally ill cancer persons, four themes emerged; 1) family distress from overwhelming burden in caring including financial burden, social isolation, and uncertainty about the future, 2) end-of-life decision-making of families regarding withdrawing or prolonging life-sustaining treatment and transferring to provide care at home, 3) coping with end-of-life care at home through encouragement from family members, sharing responsibility for caring, and mutual financial management, and 4) family cohesion to provide care for peaceful dying by gathering provide meaningful connections and arranging the environment to promote comfortable of end-of-life patients. Conclusion: These findings provide essential information for family caregivers’ experiences in the context of Thai culture and could lead to the development of interventions for promoting family well-being.
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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 | 0.002 |
| 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".