19: Cost Analysis of Inpatient Treatment of Adolescents with Anorexia Nervosa: Hospital and Societal Perspectives
Bibliographic record
Abstract
Hospitalization is the treatment of choice for medically unstable adolescents with anorexia nervosa (AN). The aim of this study was to determine the cost of inpatient treatment for adolescents with AN from both a hospital and societal perspective and to identify determinants of such costs. Micro-costing methods were used for this retrospective cohort study of all adolescents (12 to 18 years) admitted for the first time with AN at a tertiary care child and adolescent eating disorder program in Toronto, Canada between September 1, 2011 and March 31, 2013. Demographic data and clinical variables were collected. Hospital administrative cost data and Canadian census data were used to calculate hospital and societal costs. Multivariate linear regression analyses were performed to identify significant predictors of hospital costs. Seventy-three adolescents were identified and included in this cost-analysis. Mean total hospital cost was $51,349±26,598 and mean total societal cost was $54,932±27,864 per admission, based on a mean length of stay of 37.9±19.7 days. Body mass index (BMI) was found to be a significant predictor of hospital costs (P=0.0002). For every unit increase in BMI there was a 15.7% decrease in hospital costs after controlling for time spent on the waiting list. Higher BMI (P<0.0001) and younger age (P=0.0480) at admission were both found to be significant negative predictors of caregiver costs after controlling for time spent on the waiting list. The economic burden of AN among adolescents is substantial. Younger age and lower BMIs were associated with increased hospitalization costs.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".