Financial burden of health care for <scp>HIV</scp>/<scp>AIDS</scp> patients in Vietnam
Bibliographic record
Abstract
OBJECTIVE: To assess the out-of-pocket (OOP) payments for health-care services of HIV/AIDS patients, and identify associated factors in Vietnam. METHODS: Cross-sectional multisite survey of 1016 HIV/AIDS patients attending 7 hospitals and health centres in Ha Noi, Hai Phong and Ho Chi Minh City in 2012. RESULTS: HIV/AIDS patients used inpatient and outpatient care on average 5.1 times (95% CI = 4.7-5.4) besides ART services. Inpatient care cost US$ 461 on average and outpatient care US$ 50. Mean annual health-care expenditure for HIV/AIDS patients was US$ 188 (95% CI = 148-229). 35.1% of households (95% CI = 32.2-38.1) experienced catastrophic health expenditure; 73.3% (95% CI = 70.6-76.1) of households would be affected if ART were not subsidised. Being a patient at a provincial clinic, male sex, unstable employment, being in the poorest income quintile, a CD4 count of <200 cells/mL and not yet receiving ART increased the likelihood of catastrophic medical expense. CONCLUSIONS: HIV/AIDS patients in Vietnam frequently use medical services and incur OOP payments for health care. Scaling up free-of-charge ART services, earlier access to and initiation of ART, and decentralisation and integration of HIV/AIDS-related services could reduce their financial burden.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".