DETERMINANTS CONTRIBUTING TO ADHERENCE WITH ANTIRETROVIRAL REGIMEN OF PEOPLE LIVING WITH HIV/AIDS IN BABCOCK UNIVERSITY TEACHING HOSPITAL
Bibliographic record
Abstract
This study investigated the determinant factors contributing to adherence to an antiretroviral regimen of people living with HIV/AIDS attending Babcock University Teaching Hospital. The research design used was a cross sectional descriptive study. The population consist of the entire people living with HIV/AIDS in Babcock University Teaching Hospital. The study size used comprised of 124 HIV patients. And purposive sampling techniques were used to select the sample population. Data was collected through the use of structured self-administered questionnaires with open-ended questions and was analyzed using SPSS version 21. The findings of this study showed that half of the respondents perceive that regular adherence to ART regimen would disallow the spread of HIV to their contacts, quite a number of the respondents do not perceive that adherence to ART regimen would remove HIV/AIDS stigma in their life because regular intake of the drug would disallow the community from knowing they are retroviral positive. Based on the findings of the study it is recommended that more information, education, and communication campaigns targeted at the general public are required to eliminate or reduce stigma to the barest minimum.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".