The direct health care costs of eating disorders among hospitalized patients: A population‐based study
Bibliographic record
Abstract
OBJECTIVE: To estimate the direct health care costs of eating disorders in Ontario, Canada, in 2012, using a prevalence-based cost-of-illness approach. METHOD: We selected a population-based sample of all patients eligible for public health care insurance over the age of 4 with a hospitalization for an eating disorder at any point since 1988. We estimated total and mean direct net costs per patient in 2012, from the third public payer perspective, by sex, age group, and health service type. RESULTS: In 2012, there were 6,326 patients ever hospitalized for an eating disorder. They had a mean age of 31 at hospitalization, were mostly female (93%), and generally from high-income, urban neighborhoods. Direct total costs were just under $63 million CAD; direct net costs were roughly $48 million CAD. Mean net costs per patient were higher for females than males ($7,743.40 and $6,340.50, respectively), and higher for patients under 20 and patients 65+ ($17,961.50 and $14,953.90, respectively). The main cost drivers were psychiatric hospitalizations and physician visits, although this varied by age group. For younger patients, net costs were mainly because of psychiatric hospitalizations, while for older patients net costs were mainly because of psychiatric and nonpsychiatric hospitalizations, and other care. DISCUSSION: The cost of eating disorders is substantial and varies by sex and age group. Our findings suggest that, from a health care utilization/cost perspective, the effect of eating disorders is likely to persist over the lifespan.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".