Group Interventions for Patients with Cancer and HIV Disease: Part I: Effects on Psychosocial and Functional Outcomes at Different Phases of Illness
Bibliographic record
Abstract
Group interventions for individuals facing cancer or HIV disease have drawn considerable attention among researchers and clinicians over the past 20 years. There is growing evidence that group services may be helpful, but which interventions are most effective for participants at which phases in the trajectory of disease has been less clear. Moreover, professionals working in different intervention settings (e.g., primary prevention vs. clinical care) and different disease sites (cancer vs. HIV disease) often have little awareness of relevant advances in other fields. Efforts to integrate findings in the literature may accelerate research and advance the standard of clinical care. The current article, the first in a series of four special reports, critically evaluates the efficacy of group interventions led by professional or trained facilitators for individuals confronted by cancer or HIV, across the spectrum of illness from elevated risk through advanced disease. We examine psychosocial and functional outcomes for different interventions directed toward different patient subgroups, trace common themes, highlight limitations, and offer recommendations for further research.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".