Neuropsychiatric disorders in HIV infection: impact of diagnosis on economic costs of care
Bibliographic record
Abstract
BACKGROUND: HAART is associated with a growing prevalence of HIV-associated neuropsychiatric disorders (NPD) despite improved overall survival. OBJECTIVE: To investigate the added direct costs of medical care for patients with and without NPD. METHODS: Nine dimensions of patient-specific costs [as costs per patient per month (CPM)] were followed prospectively between 1997 and 2003 in a community-based HIV/AIDS clinic for HIV-1-seropositive patients with a diagnosis of NPD (n = 188) and without (n = 153). Patients with NPD were stratified into subgroups of cognitive impairment (CI), peripheral neuropathies (PN), or other neuropsychiatric disorders (OND). RESULTS: Compared with the non-NPD group ($916), patients in the NPD group showed an increased mean CPM during the 12-month intervals immediately preceding and subsequently following NPD diagnosis [$1371 (P < 0.001) and 1463 US dollars (P < 0.001), respectively], but not at 18 months prior to diagnosis (1061 US dollars; P > 0.05). Intragroup comparisons between 12 month post-diagnosis and 18 month pre-diagnosis showed a mean CPM increased of 67% (1613 US dollars; P < 0.001) with CI, 31% (1490 US dollars; P < 0.01) with PN, and 33% (1362 US dollars; P < 0.01) with OND. Increased numbers of clinic and physician visits, non-antiretroviral drugs and home care accounted for the higher mean CPM (P < 0.05) both pre-and post-diagnosis within the NPD group. CONCLUSIONS: Neuropsychiatric disorders in patients with HIV/AIDS increase medical costs both before and after diagnosis, primarily owing to the management of the neuropsychiatric illness. Cost analyses offer useful measures of evolving patient needs, and provide a basis for allocation of healthcare resources.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".