Quality of Life of HIV Patients in a Rural Area of Western Uganda: Impact of a Community-Based Antiretroviral Treatment Program
Bibliographic record
Abstract
OBJECTIVE: Community-based antiretroviral treatment (CBART) programs should aim to achieve positive quality of life outcomes. The purpose of this study was to investigate changes in the health related quality of life (HRQOL) outcomes of patients in a CBART program supported by community volunteers in one sub-county in western Uganda located 50 km from the nearest urban centre. METHODS: We administered a translated version of the MOS-HIV survey and collected clinical data at baseline and after one year from 130 patients. Inclusion criteria included residency in the sub-county, eighteen years of age or, treatment-naïve, eligible for ART based on CD4 cell count <200 cells/mm3 or WHO clinical stage 3 or 4, and willing to accept daily treatment support by family/friends and to be visited by a community volunteer weekly. We assessed changes in physical health (PHS) and mental health (MHS) summary scores and examined associations between patient characteristics and changes in HRQOL. RESULTS: After one year, we observed significant increases in mean PHS (42.7 to 50.1; p<0.01) and MHS (43.5 to 49.5; p<0.01) scores. Lower age (p<0.01) and lower baseline PHS scores (p<0.01) were associated with increases in PHS scores and lower age (p=0.03) and lower baseline MHS scores (p<0.01) were associated with increases in MHS scores. Fifteen patients (12%) had reductions in their HRQOL after one year which were not associated with patient or clinical characteristics, including virological suppression. CONCLUSIONS: The observed improvements in HRQOL demonstrate that positive treatment outcomes can be achieved in CBART programs in rural Uganda. However, some patients appear to experience declines in their overall well-being, despite achieving virological suppression. HRQOL surveys can be useful in identifying these patients, who may require additional attention and support to achieve the full benefits of ART.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".