Young adult cancer survivors' (CS) follow-up care expectations of their primary care providers (PCPs) and oncologists.
Bibliographic record
Abstract
9598 Background: The delivery of cancer survivorship care can be complicated by a lack of clarity surrounding physician roles during follow-up. This can be particularly challenging for young adult CS who face unique needs. Our aim was to characterize young CS’ follow-up care expectations of their PCPs and oncologists. Methods: A self-administered survey was mailed to all CS diagnosed with cancer from 2005 to 2009, aged 20 to 39 years at the time of diagnosis, evaluated at any 1 of 5 regional cancer centers in British Columbia, and lived beyond 2 years. The questionnaire focused on demographics, prior treatment, and CS attitudes regarding physician responsibilities during survivorship, specifically their views about their PCPs’ and oncologists’ roles. Descriptive statistics and regression analyses were used to summarize these expectations and to determine if they differed based on physician type. Results: A total of 426 patients were included (response rate 59%): current median age was 40 years (range 24-45) and 301 (71%) were women. Common tumor sites were breast (48%), testicular (27%), and gynecological (18%). Most patients (63 and 65%, respectively) expected PCPs to be responsible for following their most recent cancer and screening for future cancers. Nearly all (85 and 93%, respectively) indicated that PCPs should also provide preventive care and manage their co-morbidities. Conversely, a significant proportion (65%) felt that oncologists should remain responsible for addressing side effects of cancer treatments throughout survivorship. In terms of fertility discussions, half of patients viewed this as a role for oncologists whereas the remainder perceived this to be more suitable for PCPs. Interestingly, neither PCPs nor oncologists were seen to have any significant role in addressing social reintegration, interpersonal relationships, or sexual function, with <30% of respondents expecting these to be discussed by either physician. Conclusions: Young adult CS expect PCPs to be responsible for most aspects of their ongoing care. More clarity regarding physician roles is required with respect to specific survivorship issues, such as fertility, sexual function and psychosocial health.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".