Quality of life and occupational performance of children with cancer in the era of the COVID-19 pandemic in terms of rehabilitation
Bibliographic record
Abstract
PURPOSE: This study was designed to determine the changes in the quality of life (QOL) and occupational performance of children with cancer and to examine their rehabilitation needs during the pandemic period in Turkey. METHODS: 60 children with cancer and their families participated in the study. The first and second assessments were carried out in April and September 2020, respectively. The pediatric quality of life inventory parent proxy-report was used to evaluate the QOL, and the Canadian occupational performance measurement was used to evaluate children's occupational performance and satisfaction. A qualitative interview was planned to determine the impact of the pandemic on children with cancer alongside their families and therefore determining the rehabilitation needs of the children. RESULTS: While there is no statistically significant change in the pain-related conditions of the children in the first six months of the pandemic (p > 0.05), procedural and treatment anxieties of the children increased during the treatment. Their QOL including cognitive state, perceived physical appearance and communication skills also showed a statistically significant decrease (p < 0.05). Both the occupational performance and satisfaction scores decreased significantly, covering the pre-pandemic and pandemic era (p < 0.01). In the qualitative interview parents expressed their children's need for physical, psychological and social participation support. Also, they emphasized the need for time management. CONCLUSIONS: During the COVID-19 pandemic, the QOL and occupational performance level of children with cancer decreased significantly. Holistic rehabilitation approaches complying with pandemic conditions are likely to benefit these children.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".