Evidence map›Paper›PMID 34255235›Full record

ArticleJournal of autism and developmental disorders2023

Preparing Law Enforcement Officers to Engage Successfully with Individuals with Autism Spectrum Disorder: An Evaluation of a Performance-Based Approach.

Karlie A Hinkle, Dorothea C Lerman

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of autism and developmental disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Autism Training for Law Enforcement Officers: Perceptions From the Field.Journal of autism and developmental disorders · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Autism Training for Law Enforcement Officers: A Scoping Review.Journal of autism and developmental disorders · 2023
    Article
  8. Article
  9. 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

2 authors.

Karlie A HinkleClinical, Health, and Applied Sciences, University of Houston Clear Lake, 2700 Bay Area Blvd., Campus Box 245, Houston, TX, 77058, USA.
Dorothea C LermanClinical, Health, and Applied Sciences, University of Houston Clear Lake, 2700 Bay Area Blvd., Campus Box 245, Houston, TX, 77058, USA. lerman@uhcl.edu.ORCID http://orcid.org/0000-0002-5807-274X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Law enforcement officers (LEOs) may use physical force unnecessarily or escalate problem behavior when attempting to gain the compliance of individuals with autism spectrum disorder (ASD) (Copenhaver & Tewksbury in American Journal of Criminal Justice 44:309-333, 2019). Although specialized training may remedy this problem, the relatively small literature on such training programs indicates the need for further research (Railey et al. in Focus on Autism and Other Developmental Disabilities, 2020). This study used simulations with actors to evaluate the outcomes of performance-based instruction on strategies to promote compliance when LEOs respond to calls involving individuals with ASD. Results for three LEOs and 24 police cadets demonstrated the efficacy of behavioral skills training (BST) for teaching LEOs how to interact more effectively with individuals with ASD. Results also suggested that hands-on training should supplement commonly used forms of didactic instruction.

Indexed as

Autism Spectrum DisorderLaw EnforcementPoliceAutistic DisorderHumansUnited StatesAutism spectrum disorderBehavioral skills trainingLaw enforcement officersPerformance-based trainingPolice officers

Identifiers

PMID34255235

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.