Qualitative exploration of family caregivers' perception and experience caring for pediatric patients with cancer
Bibliographic record
Abstract
Abstract Background: Literature on the experience of those caring for children with cancer from low- and middle-income countries is scant. Gaining insight into their experiences may be important to providing appropriate services for this group. This study sought to identify the concerns and explore the experiences of family caregivers of pediatric patients with cancer in Nigeria. Method: This qualitative study used semistructured interviews to collect data from 16 consenting family caregivers of pediatric patients with cancer seen at the University College Hospital, Ibadan. Recorded audio data were transcribed and subjected to content analysis. Results: Most family caregivers were unaware of pediatric cancer before getting the diagnosis. They experienced anticipatory grief fearing the possibility of their children dying and feeling helpless regarding funding the treatments. In addition, they expressed powerlessness in controlling the illness/treatment outcome and in managing how they were treated by hospital staff. Siblings were said to experience distress from seeing the deteriorating physical changes in their siblings with cancer. Participants reported disruption in usual domestic and socioeconomic activities in the family. They mostly coped through using religious/spiritual coping strategies and accessing some social support from hospital staff and well-wishers. Family caregivers perceived a need for greater government involvement in pediatric cancer care and prevention efforts and seek more cooperation from hospital staff in the care of their children. Conclusions: Family caregivers of pediatric patients with cancer experience challenges worthy of psycho-oncologists’ attention. This population might benefit from interventions to manage anticipatory grief and promote assertive communication and problem-solving skills.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| 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".