Cost-Effectiveness of a Rapid Response Team Intervention for Suicidal Youth Presenting at an Emergency Department
Bibliographic record
Abstract
OBJECTIVE: To investigate the cost-effectiveness of a rapid response team (RRT), compared with usual care (UC), for treating suicidal adolescents. METHODS: Suicidal adolescents (n = 286) presenting at an emergency department were enrolled in a trial to compare UC with enhanced outpatient care provided by an RRT of health professionals. Functioning (Child Global Assessment Scale) and suicidality (Spectrum of Suicidal Behavior Scale) scores were measured at baseline and 6 months later. Resource use and cost data were collected from several sources during the same period. RESULTS: As previously reported, there was no statistically or clinically significant difference in either functioning or suicidality between the groups. Costs of the RRT were lower by $1886, thus -$1886 (95% CI -$4238 to $466), from the perspective of the treating hospital, and by $991, thus -$991 (95% CI -$5580 to $3598), from the perspective of society. If decision makers are not willing to pay for any improvement in functioning or suicidality, the RRT has a 95% probability of being cost-effective from the perspective of the treating hospital. From the point of view of society, the probability of the intervention being cost-effective is about 70% for functioning and 63% for suicidality. The difference between the 2 perspectives is mainly attributable to the cost of hospitalizations outside the treating hospital. CONCLUSIONS: An RRT intervention appears to be cost-effective, compared with UC, from the point of view of the treating hospital, but there is no difference from the point of view of society.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".