Lived Experiences of Parents with Children Diagnosed with Cancer in Trinidad: Challenges and Coping Strategies
Bibliographic record
Abstract
Aim: The aim of this study is to explore the lived experiences of parents pertaining to how cancer in their family affected their lives. In particular the study detailed the participants’ challenges and the strategies they adopted in dealing with the challenges. Methodology: An exploratory phenomenology method was used to guide the study. The participants were selected from the Paediatric Oncology Clinic at The Wendy Fitzwilliam’s Paediatric Hospital. Triangulation of different strategies namely, a focus group interview and four key informant interviews were utilized to collect data from ten parents. The data was audiotaped, transcribed and organized into codes and themes. Results: In the main, findings revealed three main themes: reliance on spirituality to cope, psychosocial challenges, and social support system. This study revealed that the lived experiences of parents who care for their children diagnosed with Cancer, are like a never-ending struggle. Discussion: Regardless of the substantial progress in the treatment of Cancer, childhood Cancer is still emotionally, physically, and psychologically challenging for parents and nurses. This was discussed vis a vis literature. Recommendation: The themes highlighted offer opportunities for additional qualitative and quantitative research in the field of oncology and its impact on Trinidadian parents and the Trinidad family system and dynamics. However, further research is needed from the nursing perspective to focus on paediatric oncology.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".