Cancer Patients’ Experiences of the Early Phase of Individual Counseling in an Outpatient Psycho-Oncology Setting
Bibliographic record
Abstract
Distress is a common and substantive problem associated with the invasive nature of cancer. Psychosocial interventions can alleviate distress and enhance quality of life, with a wealth of research demonstrating benefits of group interventions. Less is known, however, about the value of individual psychological counseling for cancer patients. The goal of our study was to understand patients' experiences of attending an individual psycho-oncology counseling service in a comprehensive cancer center in Canada. We conducted six focus groups to ask patients about their perceived benefits of the early phase of counseling. The 23 participants were predominantly women living in urban areas who sought counseling for emotional and coping difficulties. Using inductive analysis, we identified four interrelated themes: distress and need for support, challenges to service access, service benefits, and the therapeutic encounter. The therapeutic encounter formed a core component of patients' experiences, highlighting the benefits of specific therapeutic interventions and processes.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".