Health Care Utilization Behavior of Veterans Who Deployed to Afghanistan and Iraq
Bibliographic record
Abstract
BACKGROUND: Previous assessments of Afghanistan/Iraq Veterans have lacked a systematic overview of all injury and illness experiences captured by the Veterans Health Administration (VHA) health care services. In this initial study, we quantify the health care utilization behavior of eligible Veterans and describe the level and type of usage among them. METHODS: A roster of service members who have served in Afghanistan/Iraq and became eligible for VHA care between 2002 and 2010 and their corresponding administrative VA medical encounter data were abstracted from the VHA Office of Public Health Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn Health Surveillance System. RESULTS: Between 2002 and 2010, approximately 55% of eligible Veterans accessed VHA health care. Higher utilization was observed among Veterans 50 years of age and older compared to younger Veterans. Higher utilization was also observed among Veterans with increasing cumulative deployment time. Mental disorder diagnostic codes accounted for the greatest number of visits per Veteran. CONCLUSIONS: Veterans with mental health diagnoses may need a different level of care than other VHA users. Other service factors associated with utilization require further research to better understand the underlying relationship. Current observed results may be reflective of future expected utilization patterns and may assist in resource planning and research.
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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".