Feelings of Disenfranchisement and Support Needs Among Patients With Thyroid Cancer
Bibliographic record
Abstract
PURPOSE: To offer a better understanding of the experiences, preferences, and needs of patients with thyroid cancer. PARTICIPANTS & SETTING: 17 patients with thyroid cancer receiving treatment at a university-affiliated hospital in Montreal, Québec, Canada. METHODOLOGIC APPROACH: Interviews were conducted with patients, and descriptive phenomenology was used to explore patients' lived experience. FINDINGS: Coping with uncertainty was a major theme that emerged from interviews, with some of the main concerns being difficult treatment decisions, long surgery wait times, and fears about surgical complications, potential metastases, and death. Study participants reported that without a nurse and an interprofessional team, they would be lost in a system they believed minimized their illness and offered few resources to support them in a time of crisis. IMPLICATIONS FOR NURSING: Nurses must understand how the needs of individuals with thyroid cancer are often overlooked because of the good prognosis associated with the disease and should work to meet these information and support needs.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".