Qualitative insights from an online community-based exercise intervention for persons living with HIV
Bibliographic record
Abstract
Introduction: Online community-based exercise (CBE) is a rehabilitation strategy that can promote health outcomes among people living with HIV. We aimed to describe experiences implementing a community-based exercise (CBE) intervention with adults living with HIV. Methods: We conducted a longitudinal qualitative descriptive study involving interviews with adults living with HIV and persons implementing an online tele-coaching CBE intervention. Leveraging community-based research principles, the intervention aimed to improve physical activity engagement and health outcomes through online individualized coaching, online YMCA resources, and wearable fitness technology. We analyzed interviews with adults living with HIV and representatives involved in CBE implementation at baseline (month 0), end of intervention (6 months), and end of follow-up phase (12 months). Results: Thirteen adults living with HIV and eight representatives involved in CBE implementation participated in the study (43 interviews total). Key themes included the "four Cs": Cost, Care, Comfort, and Convenience that encapsulated participants' perceptions of financial barriers, need for holistic healthcare integration, importance of stigma-free and emotionally supportive environments, and accessibility of health interventions. Discussion: Results underscore the critical role of inclusive and adaptable exercise programs in addressing the complex needs of individuals with chronic, episodic conditions such as HIV, and the value of participatory, community-driven methodologies in designing effective and equitable health interventions. Clinical Trial Registration: NCT05006391.
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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".