Evidence map›Paper›PMID 39527058›Full record

ArticleJAMA network open2024

Race, Neighborhood Disadvantage, and Prehospital Law Enforcement Handcuffing in Children With Behavioral Health Emergencies.

Kenshata Watkins, Nicolaus W Glomb, Tarak K Trivedi, Sara A Leibovich, Marisol Cruz-Romero, Rajesh K Daftary, Aaron E Kornblith, Ashley A Foster, David L Schriger, Karl A Sporer and 3 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Kenshata WatkinsDepartment of Emergency Medicine, University of California, San Francisco.
Nicolaus W GlombDepartment of Emergency Medicine, University of California, San Francisco.
Tarak K TrivediDepartment of Emergency Medicine, University of California, Los Angeles.
Sara A LeibovichDepartment of Emergency Medicine, University of California, San Francisco.
Marisol Cruz-RomeroDepartment of Behavioral Health, University of California, San Francisco.
Rajesh K DaftaryDepartment of Emergency Medicine, University of California, San Francisco.
Aaron E KornblithDepartment of Emergency Medicine, University of California, San Francisco.
Ashley A FosterDepartment of Emergency Medicine, University of California, San Francisco.
David L SchrigerDepartment of Emergency Medicine, University of California, Los Angeles.
Karl A SporerDepartment of Emergency Medicine, University of California, San Francisco.
Colleen KellisonDepartment of Emergency Medicine, University of California, San Francisco.
Timothy HongDepartment of Emergency Medicine, University of California, San Francisco.
Jacqueline Grupp-PhelanDepartment of Emergency Medicine, University of California, San Francisco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Minoritized youth and children in resource-limited neighborhoods rely on emergency medical services (EMS) for accessing care, including during behavioral health emergencies (BHEs). Law enforcement (LE) officers sometimes use forceful tactics in such settings. Assessing LE actions is needed to ensure safe and equitable care for vulnerable populations. Objective: To examine whether race and ethnicity, neighborhood disadvantage, sex, and age are associated with LE handcuffing during pediatric BHEs. Design, Setting, and Participants: This cross-sectional study analyzed LE handcuffing, demographic factors, and neighborhood disadvantage in Alameda County, California. The study population included children younger than 18 years who were evaluated by EMS for BHEs between January 1, 2012, and June 30, 2019. Data analysis was completed between January 1, 2022, and August 30, 2023. Exposures: Primary exposures included race and ethnicity and Area Deprivation Index (ADI) rank as ADI I (1-3 [lowest]), ADI II (4-6 [moderate]), and ADI III (7-10 [highest]). Main Outcome and Measure: The primary outcome was LE handcuffing during BHEs. The study calculated handcuffing proportions stratified by race and ethnicity, ADI, and sex. Results: The final dataset consisted of 6759 pediatric BHE encounters with complete data. Among these, 3864 encounters (57.2%) were with females. The median age was 14.9 (IQR, 13.4-16.2) years. Overall, LE handcuffing occurred in 517 encounters (7.6%); Black children had higher odds than their White peers (adjusted odds ratio [AOR], 1.80; 95% CI, 1.39-2.33). Compared with low neighborhood disadvantage, moderate neighborhood disadvantage was independently associated with increased odds of handcuffing (ADI II: AOR, 1.51; 95% CI, 1.21-1.88), as was highest neighborhood disadvantage (ADI III: AOR, 1.54; 95% CI, 1.19-1.99). Male sex (AOR, 2.31; 95% CI, 1.91-2.79) and age (AOR per 1-year increase, 1.15; 95% CI, 1.10-1.21) were also associated with increased odds of handcuffing. In moderately disadvantaged neighborhoods, the odds were higher for Black children (AOR, 2.52; 95% CI, 1.65-3.86). When stratified by sex, the odds of handcuffing were significantly higher for Black females compared with White females (AOR, 2.59; 95% CI, 1.69-3.98). Conclusions and Relevance: The findings of this cross-sectional study suggest that accessing EMS for BHEs may expose Black children and youth in disadvantaged neighborhoods to LE use of handcuffing. Emergency medical services should reconsider the role of LE officers in these settings.

Indexed as

Emergency Medical ServicesLaw EnforcementAdolescentCaliforniaChildChild, PreschoolCross-Sectional StudiesEmergenciesFemaleHumansMaleNeighborhood CharacteristicsResidence CharacteristicsVulnerable Populations

Identifiers

PMID39527058
PMCPMC11555546

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.