Helpful communications during the diagnostic period: an interpretive description of patient preferences
Bibliographic record
Abstract
With a diagnosis of cancer, life changes for patients in a profound manner. The window of time known as cancer diagnosis is one of considerable turbulence and distress for patients. Therefore, diagnosis constitutes a time during which communication with healthcare professionals is of particular importance in setting the stage for the way cancer illness will be experienced. Our research explores communications throughout the cancer trajectory from the perspective of patients themselves. We are following a sample of 60 cancer patients, representing a range of tumour sites, from the early diagnostic period through to recovery, chronic, or advanced disease. Using interpretive description analysis techniques, we document patterns and themes related to various components of the cancer journey. In this paper, we focus on themes related to perceived helpful communication during the diagnosis experience as reported by our study participants both at the time of being newly diagnosed patients, and as they reflect on that period 12 months later. These findings illuminate experiential issues of importance to patients in relation to cancer care communication and the manner in which helpful communications during this sensitive time may facilitate the subsequent experience living with and obtaining care for cancer.
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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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".