The HEADS-ED: A Rapid Mental Health Screening Tool for Pediatric Patients in the Emergency Department
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: The American Academy of Pediatrics called for action for improved screening of mental health issues in the emergency department (ED). We developed the rapid screening tool home, education, activities/peers, drugs/alcohol, suicidality, emotions/behavior, discharge resources (HEADS-ED), which is a modification of "HEADS," a mnemonic widely used to obtain a psychosocial history in adolescents. The reliability and validity of the tool and its potential for use as a screening measure are presented. METHODS: ED patients presenting with mental health concerns from March 1 to May 30, 2011 were included. Crisis intervention workers completed the HEADS-ED and the Child and Adolescent Needs and Strengths-Mental Health tool (CANS MH) and patients completed the Children's Depression Inventory (CDI). Interrater reliability was assessed by using a second HEADS-ED rater for 20% of the sample. RESULTS: A total of 313 patients were included, mean age was 14.3 (SD 2.63), and there were 182 females (58.1%). Interrater reliability was 0.785 (P < .001). Correlations were computed for each HEADS-ED category and items from the CANS MH and the CDI. Correlations ranged from r = 0.17, P < .05 to r = 0.89, P < .000. The HEADS-ED also predicted psychiatric consult and admission to inpatient psychiatry (sensitivity of 82% and a specificity of 87%; area under the receiver operator characteristic curve of 0.82, P < .01). CONCLUSIONS: The results provide evidence to support the psychometric properties of the HEADS-ED. The study shows promising results for use in ED decision-making for pediatric patients with mental health concerns.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".