Interrelatedness of Distress Among Chinese-Speaking Patients and Family Caregivers
Bibliographic record
Abstract
BACKGROUND: Cancer is a family disease, affecting the individual patient and the family. For Chinese patients and their families in Canada, adjusting to cancer may be particularly distressing when culture and language are not congruent with the mainstream model of care delivery. OBJECTIVE: In view of the limited research on the cancer experience of Chinese families, this study aims to examine the interrelatedness of patients and family caregivers' distress among a Chinese-speaking cancer population in Canada. METHODS: Semi-structured interviews were conducted with a purposive sample of 10 Chinese-speaking cancer patients and 6 family caregivers. Qualitative analysis of the interview data was conducted to construct cross-cutting themes regarding the experiences of distress after a cancer diagnosis. RESULTS: Four overarching themes emerged from the analysis: (1) misconception about cancer, (2) tensions in disclosure, (3) patient and family caregiver distress, and (4) concealing emotion in patient and family caregiver. Notably, the interrelatedness of patients and family caregivers' distress was highlighted, as patients and family caregivers both sought to regulate their own emotions to protect one another's mental well-being. CONCLUSION: The study provides insights into the distress of living with cancer and the impact on family relationships. Understanding the patients and family members' cultural and social contexts also provides the foundation for patient- and family-centered care. IMPLICATIONS FOR PRACTICE: Healthcare professionals can provide culturally appropriate care by recognizing the needs, values, and beliefs of cancer patients and their families. Furthermore, the patient-family-caregiver dyad needs to be considered as the unit of care.
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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".