QLIF-10. FAMILY CAMP: A MULTI-DISCIPLINARY, HOLISTIC INTERVENTION FOR BRAIN TUMOR PATIENTS AND THEIR FAMILIES
Bibliographic record
Abstract
A brain tumor diagnosis is a devastating and life-altering event that impacts the entire family. Families experience radical change of roles due to cognitive, physical, and emotional changes resulting from the illness. “Family Camp” was a targeted psychosocial intervention to create a safe environment that would provide families with children respite from daily burdens and connect them with similar others. In 2014, a multi-disciplinary team established a weekend camp. Staff included artists, body workers, psychologists, “camp counselors”, doctors, nurses, social workers, who are members of their healthcare team, and community volunteers. Interventions included counseling, community building, and educational sessions. Communication strategies were suggested to enhance family communication. Opportunities for art, singing, games, and rest were provided. Anxiety, stress, depression, coping, and values-based living were measured pre and post camp using DASS21, CES-D, Brief Cope Inventory, Values Based Living, and surveys. 11 families (22 adults) attended camp; 15 adults remained the entire duration. A paired sample t-test was conducted to compare scores before and after camp on a variety of outcomes. On the DASS21 patients (n=7) reported statistically significant decreases in the axes of depression and stress; p= 0.038 and 0.0077 and caregivers (n=8) reported statistically significant decreases in depression and anxiety; p=0.02 and 0.017. This was also reflected on the CES-D; p=0.021. Subjective assessments were consistent with these observations, and most felt that the experience made them closer as a family. A multi-disciplinary program focused on patients’ families improves psycho-social stressors. Data suggest that support programs designed for entire families may be an important intervention that improves quality-of-life and perception of the “illness” experience. Sustainability of observed benefits are unknown, but serial interventions are likely important in this patient population with variable disease trajectories.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".