Using journey maps to understand patient-reported outcome measures in the cancer journey
Bibliographic record
Abstract
Purpose: The purpose of this qualitative study is to demonstrate the use of patient-reported outcome measure-based journey maps in facilitating clinicians' ability to communicate with patients about their well-being at each phase of their cancer journey. Methods: Individual semi-structured online and phone interviews were conducted with older adults in British Columbia, Canada. Participants (n = 6) were asked to describe their cancer experiences associated with their well-being score using the Edmonton Symptom Assessment System revised questionnaire throughout their cancer journey (i.e., pre-diagnosis, diagnosis, treatment, to post-treatment). Results: Six older adults who received cancer treatment were interviewed. Six journey maps were developed with evidence of fluctuation in participants' level of well-being through their cancer journeys. Conclusion: Journey maps can facilitate patient-clinician communication for tailoring interventions and draw clinicians' attention to additional prompts to better understand patients' well-being throughout the cancer journey.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".