Understanding the healthcare experiences of teenaged cancer patients and survivors
Bibliographic record
Abstract
BACKGROUND: Despite literature supporting a client and family-centred approach to healthcare delivery in paediatric facilities, there is little information about healthcare delivery from the perspective of teenagers in the oncology setting. The objective of this study is to describe the healthcare experiences of teenagers with cancer. METHODS: As part of a larger study on teen-centred care delivery in paediatric oncology, a survey included several open-ended questions to learn about the following: (1) what teenagers liked about the cancer care they received; (2) what they disliked about the cancer care received; and (3) what they would include if they could design the perfect cancer centre for teenagers. The survey was completed by 200 teenagers (aged 12-20 years) from three paediatric hospitals in Canada. Answers to these questions were coded and developed into themes and subthemes using a thematic analysis approach. RESULTS: The number of patients providing answers was 89% for question 1, 63% for question 2 and 68.5% for question 3. Likes and dislikes were conceptualized in terms of four key themes as follows: (1) staff at the treatment centre; (2) the cancer care they received; (3) the treatment centre itself; and (4) social activities. The most common suggestions for the perfect cancer centre included having access to better entertainment, more social opportunities to interact with peers, and a more comfortable environment for themselves and their families. CONCLUSION: Understanding teenagers' experiences in the paediatric oncology setting provides information that could be used to shape the delivery of healthcare in a way that is tailored to their needs. Further research in this area is required in order to improve existing oncology care.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".