The clinical and demographic profile of women living with HIV admitted to the acute unit at Stikland Psychiatric Hospital
Bibliographic record
Abstract
BACKGROUND: There is a paucity of research on the clinical profile of women living with human immunodeficiency virus (HIV) (WLWH) admitted with acute mental health illness. Existing studies are small and did not look at factors that could have an impact on medication adherence. As a first step to inform service delivery for this vulnerable population, a thorough understanding of the composition and needs of these patients should be identified. OBJECTIVES: To describe the socio-demographic and clinical profile that could have an influence on the antiretroviral therapy (ART) adherence of WLWH at an inpatient psychiatric unit. METHODS: In this retrospective audit, the medical records of all WLWH (18-59 years of age), discharged from the acute unit at Stikland Psychiatric Hospital, were reviewed over a 12-month period. RESULTS: Of the 347 female patients discharged, 55 patients were positive for HIV (15.9%). The majority of them were unmarried (78.2%), unemployed (92.7%), had a secondary level of education (Grade 8-10) (58.2%), lived with a family member (83.6%) and had children (61.8%). The most common psychiatric diagnosis on discharge was substance use disorder with 78.2% of patients being categorised as substance users. Interpersonal violence was only reported by 5.5% of patients. Although most patients performed poorly on the Montreal Cognitive Assessment (MoCA) and International HIV Dementia Scale (IHDS), only 12% of patients received a diagnosis of HIV-associated neurocognitive disorder (HAND) upon discharge. Antiretroviral therapy (ART) was initiated in 21.8% of patients. Only eight patients had a viral load of < 200 copies/mL, indicating viral suppression. CONCLUSION: Our findings may inform service planning and emphasise the need for targeted intervention strategies to improve treatment outcomes in this vulnerable group.
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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 | 0.001 | 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) | 0.003 | 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".