Lived Experiences of Self-Care in Older Adults with Lymphoma Undergoing Chemotherapy Treatments During the COVID-19 Pandemic
Bibliographic record
Abstract
Background: To be diagnosed and treated for cancer can be a distressing experience, and it can require individuals to engage in self-care strategies to cope with the situation. The self-care experiences of older adults with lymphoma undergoing chemotherapy during the COVID-19 pandemic in Thailand remain rarely studied. This study aimed to explore the lived experiences of self-care among older adults with lymphoma undergoing chemotherapy during the COVID-19 pandemic. Methods: A hermeneutic phenomenology research design was used. It involved in-depth interviews with nine older adults with lymphoma undergoing chemotherapy. Data analysis utilized van Manen’s approach, and trustworthiness was ensured by adhering to Lincoln and Guba’s criteria. Results: This study revealed that the lived experience of self-care among older adults with lymphoma receiving chemotherapy during the COVID-19 pandemic encompasses five lifeworlds within the lived body, addressing aspects of (1) thumjai and (2) continuing to fight cancer. Lived relations means trusting healthcare providers and holding on together. Lived time reflects being aware of the natural path of life. The concept of lived space encompasses staying safe at home and staying cautious. Lived things reflect (1) accepting one’s own karma and (2) living economically. Conclusions: The findings enhance the understanding of self-care experiences among older adults with lymphoma undergoing chemotherapy during the COVID-19 pandemic in an Asian context. The findings can inform the development of a person-centered nursing intervention tailored for older persons that emphasizes cultural aspects.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".