Parental Reports on Late Effects and Follow-Up Needs: A Single-Center Assessment of Childhood Cancer Survivorship Care in Kenya
Bibliographic record
Abstract
The WHO Global Initiative for Childhood Cancer will likely increase the number of childhood cancer survivors in resource-poor countries. This study explored survivorship care in Kenya through parental reports on late effects and the follow-up needs of childhood cancer survivors. Parents of Kenyan childhood cancer survivors (under 18 years old) who completed treatment for at least one year were interviewed using semi-structured questionnaires from 2021 to 2022. Parents of 54 survivors were interviewed. Survivors had solid tumors (52%) and hematological tumors (48%). Most (52%) received chemotherapy combined with either surgery or radiotherapy. Many survivors (72%) experienced symptoms according to their parents. The most prevalent symptoms were pain (37%), fatigue (26%), and ocular problems (26%). Eleven percent of parents observed limitations in the daily activities of the survivors. Parents of survivors with two or more symptoms were more likely to rate symptoms as moderate to severe (p = 0.016). Parents expressed concern about late effects (48%). Only 28% were informed about late effects at the hospital, despite 87% indicating they would have welcomed this information. Follow-up care was deemed important by 98%. Recommendations included providing education about late effects and organizing survivor meetings. Survivorship clinics should be established to ensure that follow-up information and care are accessible.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".