Cancer Care From the Perspectives of Older Women
Bibliographic record
Abstract
PURPOSE/OBJECTIVES: To understand how older age affects cancer care, from the perspectives of older women. RESEARCH APPROACH: Qualitative, participatory. SETTING: Urban southern region of Ontario, Canada. PARTICIPANTS: Purposive sample (age groups and income) of 15 women diagnosed with cancer at age 70 or older; 10 women were diagnosed with breast cancer, 5 with gynecologic cancer. METHODOLOGIC APPROACH: Two face-to-face interviews, with data analysis in collaboration with the project team based on constructivist grounded theory, including negative case analysis. MAIN RESEARCH VARIABLES: Age, experience of cancer care. FINDINGS: Age-related life and health circumstances intersect with professional practice and wider social contexts and are implicated in treatment decision making, including decisions against treatment, as well as in the day-to-day "getting around" that cancer care requires. CONCLUSIONS: The nursing history should be holistic in scope, attending to the supportive care domains to elicit older women's physical, social, practical, informational, psychological, and spiritual needs after a diagnosis of cancer. History taking should draw forward older women's life contexts and examine these contexts in relation to cancer care, including treatment decision making. INTERPRETATION: Individual-level care and systems advocacy are required to ensure that older women's worries about sustaining independence, including worries generated by inadequacies in home-based care, do not act as determinants of treatment choices.
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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) | 0.000 | 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) | 0.001 | 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 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".