Managing Cancer And Living Meaningfully: study protocol for a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: We have developed a novel and brief semi-structured psychotherapeutic intervention for patients with advanced or metastatic cancer, called Managing Cancer And Living Meaningfully. We describe here the methodology of a randomized controlled trial to test the efficacy of this treatment to alleviate distress and promote well-being in this population. METHODS/DESIGN: The study is an unblinded randomized controlled trial with 2 conditions (intervention plus usual care versus usual care alone) and assessments at baseline, 3 and 6 months. The site is the Princess Margaret Cancer Centre, part of the University Health Network, in Toronto, Canada. Eligibility criteria include: ≥ 18 years of age; English fluency; no cognitive impairment; and diagnosis of advanced cancer. The 3-6 session intervention is manualized and allows for flexibility to meet individual patients' needs. It is delivered over a 3-6 month period and provides reflective space for patients (and their primary caregivers) to address 4 main domains: symptom management and communication with health care providers; changes in self and relations with close others; sense of meaning and purpose; and the future and mortality. Usual care at the Princess Margaret Cancer Centre includes distress screening and referral as required to in-hospital psychosocial and palliative care services. The primary outcome is frequency of depressive symptoms and the primary endpoint is at 3 months. Secondary outcomes include diagnosis of major or minor depression, generalized anxiety, death anxiety, spiritual well-being, quality of life, demoralization, attachment security, posttraumatic growth, communication with partners, and satisfaction with clinical interactions. DISCUSSION: Managing Cancer And Living Meaningfully has the potential to relieve distress and promote psychological well-being in patients with advanced cancer and their primary caregivers. This trial is being conducted to determine its benefit and inform its dissemination. The intervention has cross-national relevance and training workshops have been held thus far with clinicians from North and South America, Europe, the Middle East, Asia and Africa. TRIAL REGISTRATION: ClinicalTrials.gov NCT01506492 4 January 2012.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.017 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".