Parents' perspective of caring for their children identified with oncological disorders: a qualitative study
Bibliographic record
Abstract
BACKGROUND: Childhood cancer has a profound effect on the emotional and psychological well-being of parents, yet often their own psychological health is overlooked These parents silently suffer from psychological distress while caring for their children and use their own coping strategies. However, these challenges become worse in low- and middle-income countries (LMICs) because of a financial constraint, lack of psychosocial support and healthcare resources. Despite this, limited studies have been carried out in LMICs regarding parents' emotional and psychological perspectives. PURPOSE: To investigate the psychological and emotional difficulties faced by parents of children with cancer in a LMIC, with a particular emphasis on problems like limited access to psychosocial support that are common in developing nations. METHOD: This study was conducted using a descriptive exploratory design to address the research question. With the help of the purposive sampling technique, a total of 12 participants were recruited from a private tertiary care hospital in Karachi, Pakistan. The data was collected through in-depth, semi-structured interviews. Later, the findings were manually analysed using Creswell's criteria for content analysis. FINDING(S): The findings revealed four major themes: (i) Parental reactions and feelings, (ii) Coping strategies and support systems, (iii) Challenges, and (iv) Parental perspective. Parents from LMICs frequently had to deal with additional obstacles, such as financial strain and a lack of psychological support. CONCLUSION: The study explored how parents from a LMIC feel when their child is diagnosed with cancer, where there is frequently lack of access to quality health care and emotional support. It is essential to understand their experiences and to provide them with the support they need in this difficult time. Psychological and emotional support for families affected by childhood cancer must be a top priority for policymakers and healthcare practitioners in LMICs.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".