The Living Well Lab: a community-based HIV/AIDS research initiative
Bibliographic record
Abstract
BACKGROUND: Complementary and Alternative Medicine (CAM) is becoming a pillar in the rehabilitative efforts for many living with HIV/AIDS. A community-based research program called the Living Well Lab (LWL) was established in 2007, operating out of Friends For Life (FFL), a non-profit wellness center in Vancouver, Canada offering free CAM therapies to people living with HIV/AIDS. Therapies range from naturopathy to yoga. The LWL partnered with academic and community organizations to evaluate CAM use and changes in health and quality of life outcomes of FFL's HIV+ members. METHODS: A longitudinal, combined methods approach assessed the health- and quality-of-life-related outcomes and experiences of CAM users. Participants completed outcome packages (5 time points) over 18 months, which focused on changes in physical and emotional states, satisfaction with services and social support. Interviews were conducted at baseline, 9- and 18-month time points. Quantitative analyses were descriptive while content analysis and thematic coding were used in the qualitative analysis. RESULTS: Two hundred and seven members enrolled in the LWL. Quantitative data demonstrated improvement in mental and physical wellbeing, social support and patient satisfaction specifically: SF-12, Arizona Integrative Outcomes Scale and three visual analog scales (stress, pain and energy). Participants felt several factors contributed to these changes such as managing anxiety, accepting their illness, learning to relax, an increased capacity for self-care and social support. CONCLUSIONS: CAM use may be associated with changes to physical, social and mental wellbeing. Issues throughout the study provided important lessons for future 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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".