A retrospective cohort study examining health care utilization patterns in individuals diagnosed with an eating disorder in childhood and/or adolescence
Bibliographic record
Abstract
OBJECTIVE: This study examined a 2-year period following an eating disorder (ED) diagnosis in order to determine patterns of health care utilization. METHOD: We conducted a retrospective cohort study of children (n = 1560) diagnosed with an ED between 2000 and 2017. The ED diagnosis was made at a tertiary level hospital for children and adolescents presenting for outpatient assessment by specialist adolescent medicine physicians and recorded in a program database over this period of time. We then created three sex- and age-matched comparison cohorts using provincial health administrative databases including: a general population cohort, a diabetes cohort (to compare nonmental health care utilization) and a mood disorder cohort (to compare mental health care utilization). Outcomes included hospitalizations, emergency department visits, as well as general practitioner, psychiatrist, and pediatrician visits. Odds ratios (dichotomous outcomes) and rate ratios (continuous outcomes) were calculated. RESULTS: Compared to the general population cohort, the ED cohort had higher odds and rates of all types of health care utilization. Compared to the diabetes cohort, the ED cohort had higher odds of nonmental health-related admissions (OR 1.45, 95% CI 1.09-1.95) and higher rates of nonmental health-related emergency department visits (RR 1.59, 95% CI 1.18-2.13). Compared to the mood disorder cohort, the ED cohort had higher rates of pediatrician visits, which were mental health-related (RR 14.88, 95% CI 10.64-20.82), however most other types of mental health service utilization were lower. DISCUSSION: These patterns indicate that the service needs of young people diagnosed with EDs are higher than those with diabetes with respect to nonmental health admissions and emergency department visits, while in terms of mental health service utilization, there appears to be a lack of use of mental health services compared to youth with mood disorders with the exception of pediatrician mental health visits. These findings must be interpreted in the context of under-detection and under-treatment of EDs. PUBLIC SIGNIFICANCE STATEMENT: Our study found that the health service needs of young people with EDs are higher than those with diabetes with respect to admissions and emergency department visits, while there appears to be a lack of use of mental health services compared to youth with mood disorders with the exception of pediatrician mental health visits.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".