Associations Between Alcohol Use and Homelessness With Healthcare Utilization Among Human Immunodeficiency Virus-Infected Veterans
Bibliographic record
Abstract
BACKGROUND: Alcohol use is a frequent root cause of homelessness, and both homelessness and alcohol use influence the quality and quantity of interactions with health care providers. OBJECTIVE: The objectives of this study are to compare rates of homelessness and alcohol use in a cohort of human immunodeficiency virus (HIV)-infected persons and to evaluate the influence of homelessness and alcohol use on utilization of health services. RESEARCH DESIGN AND MEASURES: Data were obtained from the Veterans Aging Cohort 3-Site Study, a cohort study of 881 HIV-infected veterans at 3 VA hospitals. In a baseline survey, we assessed current and past history of homelessness and levels of alcohol consumption. Health care service utilization (ambulatory visits, emergency room visits, and hospital admissions) for the preceding 6 months was determined by self-report and VA administrative records. Logistic regression was used to assess whether homelessness and drinking variables were associated with health care visits in the past 6 months. RESULTS: Among HIV-infected veterans with complete data (n = 839), 62 (7%) were currently homeless, and 212 (25.3%) had a past, but not current, history of homelessness. Among the currently homeless, 36% reported alcohol consumption, 34% were hazardous drinkers, 46% were binge drinkers, and 26% had a diagnosis of alcohol abuse. When adjusting for age, severity of HIV disease, and use of illicit drugs, hazardous drinking (adjusted odds ratio [AOR] 0.68, 95% confidence interval [CI] 0.49-0.93) and current homelessness (AOR 0.56, 95% CI 0.32-0.97) were associated with less than 2 outpatient clinic visits. HIV-infected veterans who were homeless in the past were more likely to be hospitalized in the prior 6 months than those never homeless (AOR 1.51, 95% CI 1.07-2.11). CONCLUSIONS: Although homeless HIV-infected veterans tend to use inpatient services more than nonhomeless HIV infected veterans, they were less likely to achieve optimum outpatient care. Alcohol use complicates the effect of homelessness on adherence to outpatient care and is associated with increased inpatient utilization among HIV-infected veterans.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".