Unemployment and health care utilization
Bibliographic record
Abstract
OBJECTIVES: This study attempted to determine whether prior use of health services predicts a subsequent risk of unemployment and also to describe the acute effects of exposure to unemployment on the use of health care services. MATERIAL AND METHODS: The 1986 census records were linked with comprehensive health care information for the period 1983-1989 for over 44629 randomly selected residents of Manitoba, Canada. All cause and cause-specific rates of hospital admission and ambulatory physician contacts were compared between 1498 unemployed and 18272 employed persons across 4 consecutive time periods related to the onset of unemployment. RESULTS: The adjusted rates of hospital admission and physician contacts were higher among the unemployed across all 4 periods. When persons with a history of mental health treatment were excluded, health care use in the period prior to the onset of unemployment was equivalent among the employed and unemployed. When a history of mental health treatment was controlled for, all-cause and cause-specific health care use was elevated among the unemployed during the unemployment spell. CONCLUSIONS: Unemployed persons had increased hospitalization rates before their current spell of unemployment. Much of this difference was due to the subgroup with prior mental health treatment. For persons without prior mental health care, hospitalization increased after a period of unemployment.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".