Scoping Review and Clinical Guidance: Disparities in the Care of Youth With Agitation or Aggression in the Emergency Department
Bibliographic record
Abstract
Objective: This scoping review aims to summarize the current state of research literature on disparities in the care of youth with agitation or aggression in the emergency department (ED), including referral, assessment, diagnosis, use of pharmacologic interventions, and use of restraint and seclusion. Method: This study used the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) extension for scoping reviews searching PubMed and PsycINFO databases (May 1, 2013 through May 5, 2023) for studies that reported disparities in the care of youth with agitation or aggression in the pediatric ED. Results: Disparities in the care of youth with agitation or aggression in the ED have been documented for race, sex, age, developmental status, and insurance status. There are no data available on disparities in ED-based care of youth with agitation or aggression based on gender identity and/or presentation, sexual orientation, socioeconomic status (SES), systems involvement (including child welfare, foster care, juvenile justice), or language proficiency. Conclusion: Although there are some data on disparities in the care of youth with agitation or aggression the ED documented for race, sex, age, developmental status, and insurance status, further work in this area is needed. Actionable steps to address mental health disparities in the pediatric ED are discussed. Study preregistration information: Disparities in the Care of Youth with Agitation or Aggression in the Emergency Department: A Scoping Review and Clinical Guidance; https://osf.io/eg7tk. Diversity & Inclusion Statement: One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. We actively worked to promote sex and gender balance in our author group. We actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our author group. While citing references scientifically relevant for this work, we also actively worked to promote sex and gender balance in our reference list. While citing references scientifically relevant for this work, we also actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our reference list. The author list of this paper includes contributors from the location and/or community where the research was conducted who participated in the data collection, design, analysis, and/or interpretation of the work.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".