Help seeking for cancer ‘alarm’ symptoms: a qualitative interview study of primary care patients in the UK
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Delay in help seeking for cancer 'alarm' symptoms has been identified as a contributor to delayed diagnosis. AIM: To understand people's help-seeking decision making for cancer alarm symptoms, without imposing a cancer context. DESIGN AND SETTING: Community-based, qualitative interview study in the UK, using purposive sampling by sex, socioeconomic status, and prior help seeking, with framework analysis of transcripts. METHOD: Interviewees (n = 48) were recruited from a community-based sample (n = 1724) of adults aged ≥50 years who completed a health survey that included a list of symptoms. Cancer was not mentioned. Participants reporting any of 10 cancer alarm symptoms (n = 915) and who had consented to contact (n = 482) formed the potential pool from which people were invited to an interview focusing on their symptom experiences. RESULTS: Reasons for help seeking included symptom persistence, social influence, awareness/fear of a link with cancer, and 'just instinct'. Perceiving the symptom as trivial or 'normal' was a deterrent, as was stoicism, adopting self-management strategies, and fear of investigations. Negative attitudes to help seeking were common. Participants did not want to be seen as making a fuss, did not want to waste the doctor's time, and were sometimes not confident that the GP could help. CONCLUSION: Decision making about cancer alarm symptoms was complex. Recognition of cancer risk almost always motivated help seeking (more so than the fear of cancer being a deterrent), assisted by recent public-awareness campaigns. As well as symptom persistence motivating help seeking, it could also have the reverse effect. Negative attitudes to help seeking were significant deterrents.
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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 | 0.003 | 0.002 |
| 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) | 0.000 | 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 it