Coping Strategies Used by Older Cancer Survivors During the COVID-19 Pandemic: A Longitudinal Qualitative Study
Bibliographic record
Abstract
Objectives: The objective of this study is to longitudinally examine the coping strategies used by older cancer survivors (≥60 years of age) during COVID-19. Methods: An interpretive descriptive approach was used to collect and analyse qualitative data collected via 1:1 telephone interviews at three timepoints: June/July 2020, January 2021, and March 2021. Main Findings: Coping strategies used by older adults reflected the resources available to them, and their agency in self-triaging and deciding on resources to support their coping. These decisions were impacted by pandemic-imposed restrictions and necessitated readjustment over time. Three themes were developed to describe coping strategies (including any changes): adapting means and methods to connect with others; being intentional about outlook; and taking actions toward a brighter future. Conclusion: Older adults used a variety of coping strategies, though their reliance on resources beyond themselves (e.g., family/friends) indicates a need to add tailored resources to existing professional services.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".