Transition from diagnosis to regular medication use for adults with HIV/AIDS infection
Bibliographic record
Abstract
Every year, approximately 5 million new HIV and AIDS cases are diagnosed worldwide. With advances in treatment, the lifespan of patients with HIV/AIDS has been extended, with the disease becoming a chronic condition, meaning that long-term care is necessary and complicated. Through effective treatment compliance with high-potency antiviral medication, in viva viral replication can be suppressed; thus, the life expectancy of individual patients can be extended. Therefore, taking medication regularly is crucial for patients. This study employed the grounded theory approach, using a semi structured method to conduct in-depth interviews with 10 participants with HIV/AIDS in Taiwan. Open, axial, and selective coding were used for data analysis. Results: The five categories comprised symptoms resulting from HIV/AIDS, the initial reaction to HIV/AIDS diagnosis, preventative strategies for self-protection, management of interpersonal relationships, and strategies for taking medication regularly. The core category was accepting reality and living with HIV/AIDS. This paper suggests that public education should be used to remove the stigma of HIV/AIDS. Furthermore, combining prevention, education, consultation, counseling, testing, and treatment for effective management can increase medication compliance.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".