Access to Psychosocial Services Prior to Starting Antipsychotic Treatment Among Medicaid-Insured Youth
Bibliographic record
Abstract
OBJECTIVE: To examine rates and predictors of receiving a psychosocial service before initiating antipsychotic treatment among young people in the Medicaid program. METHOD: A retrospective new-user cohort study of 8 state Medicaid programs focused on children and adolescents 0 to 20 years, initiating antipsychotic treatment (N = 24,372). The proportion receiving a psychosocial service in the 3 months before initiating antipsychotic treatment was calculated and stratified by socio-demographic and diagnostic characteristics arranged in 9 hierarchical groups, as follows: developmental, psychotic/bipolar, disruptive, attention-deficit/hyperactivity, obsessive-compulsive, stress, major depressive, anxiety, and other disorders. RESULTS: Less than one-half of youth received a psychosocial service before initiating antipsychotic treatment (48.8%). Compared to younger adolescents (12-17 years) initiating antipsychotic treatment (51.5%), corresponding younger children (0-5 years; 39.2%) and older adolescents (18-20 years; 40.1%), but not older children (6-11 years; 51.5%), were significantly less likely to have received a psychosocial service. In relation to youth diagnosed with psychotic or bipolar disorder (52.7%), those diagnosed with attention-deficit/hyperactivity (43.3%), developmental (41.4%), depressive (46.5%), or anxiety (35.6%) disorder were significantly less likely to have received a psychosocial service during the 3 months before antipsychotic initiation. By contrast, youth diagnosed with stress disorders (61.2%) were significantly more likely than those diagnosed with psychotic or bipolar disorders (52.7%) to have received a psychosocial service before starting an antipsychotic. CONCLUSION: A majority of Medicaid-insured youth initiating antipsychotic treatment have not received a psychosocial service in the preceding 3 months. This service pattern highlights a critical gap in access to psychosocial services.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".