How People With HIV/AIDS Manage and Assess Their Use of Complementary Therapies: A Qualitative Analysis
Bibliographic record
Abstract
The objective of this article is to provide a qualitative analysis of the practical concerns that people with HIV/AIDS have with regard to their use of complementary therapies. In-depth semistructured interviews were conducted with a diverse range of people with HIV/AIDS (N = 46). An inductive grounded approach was used to collect and analyze the data. There were five central concerns: (a) selecting which therapies to use, (b) judging which therapies work, (c) combining Western medicine with complementary therapies, (d) assessing the safety of complementary therapies, and (e) dealing with the barriers to the use of complementary therapies. A better understanding of the practical dimensions of complementary therapy use highlights the treatment and care issues that people with HIV/AIDS face and offers insights into the role that nurses might play in addressing some of these issues.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".