A mixed method study of a peer support intervention for newly diagnosed primary brain tumour patients
Bibliographic record
Abstract
PURPOSE: The purpose of this pilot study was to investigate the impact of an intervention designed to enhance quality of life in newly diagnosed primary brain tumour (PBT) patients. The intervention involved a structured, one time meeting between newly diagnosed PBT patients and trained volunteer "veteran" PBT patients. METHODS: Two volunteers met for a single, one-on-one meeting with a total of 10 newly diagnosed PBT patients. A combination of questionnaires and interviews were used to investigate the impact of the intervention for both the new patients and the volunteers. RESULTS: The intervention appeared to be of substantial value for both groups of participants. Analysis revealed that the newly diagnosed patients experienced a range of benefits, including those related to the themes of: increased hope, valued guidance, hearing what it's really like, overcoming aloneness, and receiving a wake up call to what matters. Only relatively minor adverse effects and challenges were reported. CONCLUSIONS: The findings provide initial evidence that the developed intervention has the potential to be a safe, useful means of enhancing psycho-social well-being in newly diagnosed PBT patients.Further investigation into the potential of one-to-one, peer support for brain tumour patients is an important research priority.
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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 | 0.014 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".