The current state of knowledge of mental health issues suffered by North American adults learning to live with HIV/AIDS diagnosis and experiencing stigma in accessing healthcare services
Bibliographic record
Abstract
For individuals living with Human Immunodeficiency Virus or Acquired Immunodeficiency Syndrome [HIV/AIDS], the long-term toll on their physical health is well-documented. However, adverse impacts on their mental health are not as widely publicized, yet can be even more challenging for infected individuals to deal with. In North America, if HAART or other treatments are started early enough, most of those “death sentences” have been commuted into a “largely manageable chronic disease” (Fang, Vincent, Calabrese, Heckman, Sikkema, Humphries and Hansen, 2016, p. 2). This literature review seeks to answer the research question “What is the current state of knowledge regarding the serious mental health issues suffered by adult patients diagnosed with and learning to live with HIV/AIDS and how social workers can help meet their needs and challenges?” Key findings include the widespread suffering of People Living with HIV/AIDS [PLHA] caused by HIV-related stigma (enacted, internalized and anticipated), by medical professionals and others. Depression, increased life-stress, HIV-Associated Neurocognitive Disorder [HAND], heightened anxiety and increased high risk behavior (such as engaging in unprotected sex) are the main mental health issues and challenges resulting from HIV-related stigma. Past researches recommends taking a comprehensive holistic approach, which includes but is not limited to additional anti-stigma training for future and current social and health care workers, HAND-testing, individual HIV-case management and stronger advocating for HIV-positive clients.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".