Experiences engaging in a group-based physiotherapist-led exercise programme for adults living with HIV and complex multimorbidity: a qualitative study
Bibliographic record
Abstract
OBJECTIVE: To explore experiences participating in a group-based physiotherapist (PT)-led exercise programme among people living with HIV and complex multimorbidity. DESIGN: We conducted a qualitative descriptive study using semistructured interviews. RECRUITMENT AND SETTING: We recruited community-dwelling adults living with HIV who engaged in a group-based PT-led exercise programme within an HIV-specialty hospital in Toronto, Canada. Interviews were conducted in-person or by telephone. PARTICIPANTS: Eight men and two women with a median age of 58 years and median of six concurrent conditions in addition to HIV, who had attended ≥2 classes of the exercise programme. DATA COLLECTION: Interviews explored (1) reasons for engaging in the programme, (2) experiences with exercise prior to and after joining the programme, (3) facilitators and barriers to engagement and (4) perceived impacts of participation on health and disability. We administered the HIV Disability Questionnaire and a demographic questionnaire. RESULTS: Experiences spanned perspectives prior to, during and after the PT-led exercise programme. Reasons for engaging in the programme included addressing health-related goals. Participants identified accessibility, the flexible schedule, interprofessional staff and the HIV-specific, group-based environment as facilitators to engagement. Participants reported high attendance rates, but identified episodic health challenges and overcrowded space as potential barriers to attending exercise classes. Perceived impacts on health and disability outcomes included improved physical, mental, social and cognitive health, and activities of daily living. Anticipated or actual experiences transitioning to independent exercise included facilitators (supportive programme leaders) and barriers (challenges motivatiing self to exercise alone). CONCLUSIONS: Features of the programme that facilitated engagement included the interprofessional, group-based environment that offered tailored exercise in an HIV-specific facility, whereby participants perceived benefits in domains of health and disability. However, challenges transitioning to independent exercise remain. Group-based PT-led exercise programmes may facilitate engagement in exercise among adults living with HIV and complex multimorbidity.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".