Reduction of Mental Health–Related Emergency Department Admissions for Youth and Young Adults Following a Remote Intensive Outpatient Program: Quality Improvement Analysis
Bibliographic record
Abstract
BACKGROUND: Pediatric mental health emergency department (ED) visits are increasing at 6% to 10% per year, at substantial cost, while 13% of youth with psychiatric hospitalizations are readmitted in the following weeks. Hospitals do not have the resources to meet escalating youth's mental health needs. Intensive outpatient (IOP) programs, which provide multiple hours of care each week, have the power to reduce the number of patients in need of hospitalized care and provide a step-down option for patients discharging from ED's in order to prevent readmissions. OBJECTIVE: The purpose of this program evaluation was to assess (1) whether youth and young adult ED admission rates decreased following participation in a remote IOP program and (2) whether there were differences in readmission rates between youth and young adults by gender identity, sexual orientation, race, or ethnicity. METHODS: Data were collected from intake and 3-month postdischarge surveys for 735 clients who attended at least 6 sessions of a remote IOP program for youth and young adults. Patients reported if they had been admitted to an ED within the previous 30 days and the admission reason. Over half (407/707, 57.6%) of clients were adolescents and the rest were young adults (300/707, 42.4%; mean age 18.25, SD 4.94 years). The sample was diverse in gender identity (329/687, 47.9% female; 196/687, 28.5% male; and 65/669, 9.7% nonbinary) and sexual orientation (248/635, 39.1% heterosexual; 137/635, 21.6% bisexual; 80/635, 10.9% pansexual; and 170/635, 26.8% other sexual orientation) and represented several racial (9/481, 1.9% Asian; 48/481, 10% Black; 9/481, 1.9% Indigenous; 380/481, 79% White; and 35/481, 7.2% other) and ethnic identities (112/455, 24.6% Hispanic and 28/455, 6.2% other ethnic identity). RESULTS: =38.8, P<.001). There were no differences in ED admissions at intake or in improvement at 3 months after discharge by age, gender, sexuality, race, or ethnicity. CONCLUSIONS: This study documents a decrease in ED admissions between intake and 3 months after discharge among both youth and young adults who engage in IOP care following ED visits. The similar outcomes across demographic groups indicate that youth and young adults experience similar decreases after the current tracks of programming. Future research could conduct a full return-on-investment analysis for intensive mental health services for youth and young adults.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".