Relationship between income and concerns about physical changes and help-seeking by older adult cancer survivors: a secondary analysis
Bibliographic record
Abstract
OBJECTIVE: Globally, the number of older adults surviving cancer is anticipated to grow rapidly over the next decades. Cancer and its treatment can leave survivors with a myriad of challenges including physical changes which impact independence and quality of life. This project explored the relationship of income level with concerns and help-seeking for physical changes following treatment in older Canadian survivors of cancer. METHODS: A Canada-wide survey of community-dwelling survivors of cancer explored their experiences with survivorship care one to three years following completion of treatment. A secondary trend analysis examined the relationship of income with older adults' level of concern and help-seeking experiences regarding physical consequences they attributed to their cancer treatment. RESULTS: In total, 7,975 people aged 65 years and older who survived cancer responded to the survey, of whom 5,891 (73.9%) indicated annual household income. Prostate (31.3%), colorectal (22.7%) and breast (21.8%) cancer accounted for the majority of respondents. Of those who reported household income data, over 90% wrote about the impact of physical changes following treatment, their concerns about the changes, and whether they sought help for their concerns. The most frequently identified physical challenge was fatigue (63.7%). Older survivors with low annual household incomes of less than $CA25,000 reported the highest levels of concern about multiple physical symptoms. 25% or more of the survey respondents across all income levels reported difficulty finding assistance for their concerns about the physical challenges, especially in their local communities. CONCLUSION: Older survivors of cancer can experience a range of physical changes, amenable to intervention by physical therapy, yet experience challenges obtaining relevant help. Those with low income are more severely affected, even within a universal healthcare system. Financial assessment and tailored follow-up are recommended.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".