The relationship between type of insurance, time period and length of stay in psychiatric hospitals: the Israeli case.
Bibliographic record
Abstract
BACKGROUND: According to the current standard of practice in modern medicine, medical decision-making is often forced to comply with stipulations of the insurance provider. In the field of psychiatry, there has been a trend of shortened psychiatric hospitalizations which some have suggested may be due to pressures related to insurance coverage. In Israel, soldiers have comprehensive medical coverage provided by the military, and this coverage includes full payment for psychiatric hospitalizations. In contrast, Israeli civilians are insured by the government according to a global payment system. In this study, we aimed to examine differences between these two groups in terms of length of stay (LOS) in psychiatric hospitals. METHODS: Data on psychiatric admissions of soldiers (aged 18-21) spanning the past 30 years was obtained from the military database (N=2,106). Corresponding data was collected on first psychiatric hospitalizations of a cohort of matched civilians (N=6556). The mean LOS of the two groups was compared. RESULTS: Civilians had a significantly longer LOS than soldiers. Moreover, LOS decreased between the seventies and the nineties for both groups, and the decrease was observed for all diagnoses regardless of disease severity. DISCUSSION: We conclude that in the managed care era, economic considerations may at times take precedence over psychiatric ones, irrespective of the degree of severity of illness. The parallel process is manifested in a general trend towards deinstitutionalization in the United States, Canada and Europe.
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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 | 0.002 | 0.001 |
| 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".