A qualitative study on the needs of cancer caregivers in Vietnam
Bibliographic record
Abstract
BACKGROUND: Vietnam has experienced a rapid increase in cancer incidence with many cancers (70%) being diagnosed at a late stage. The majority of physical and psychosocial care is provided by caregivers with minimal professional input. Due to limited resources in hospitals and social and cultural norms regarding caregiving in Vietnam, caregivers provide a range of supportive functions for family members diagnosed with cancer. OBJECTIVES: This study sought to provide empirical evidence on the self-identified unmet needs of caregivers of inpatients in national oncology hospitals in Vietnam. METHODS: Focus groups and in-depth interviews were conducted with caregivers (n = 20) and health care providers (n = 22) in national oncology hospitals in Hanoi and Ho Chi Minh City. Data was collaboratively analysed using thematic analysis. Findings were validated through key stakeholder group discussions with both caregivers and healthcare providers across multiple regions in Vietnam. RESULTS: Analysis demonstrated that the burden of informal care is high with many caregivers managing patient's severe and complex health needs with minimal support. Caregivers highlighted four main areas of critical need: (i) challenges in providing long term care, particularly in hospital and in-patient settings, such as accessing comfortable facilities, accommodation and finance; (ii) information needs about cancer, treatment, and nutrition; (iii) support for the emotional impact of cancer; and (iv) training about how to provide care to their family members during treatment and recovery phases. CONCLUSIONS: Caregivers provide invaluable support in supporting people with a cancer diagnosis, particularly given wider systemic challenges in delivering cancer services in Vietnam. Increasing visibility and formal support is likely to have both a positive impact upon the health and wellbeing of caregivers, as well as for cancer patients under their care. Given its absence, it is critical that comprehensive psychosocial care is developed for caregivers in Vietnam.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".