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Mendeley readers
| Title |
Development and Evaluation of Educational Materials for Pre-hospital and Emergency Department Personnel on the Care of Patients with Autism Spectrum Disorder
|
|---|---|
| Published in |
Journal of Autism and Developmental Disorders, October 2013
|
| DOI | 10.1007/s10803-013-1962-0 |
| Pubmed ID | |
| Authors |
John J. McGonigle, Joann M. Migyanka, Susan J. Glor-Scheib, Ryan Cramer, Jeffrey J. Fratangeli, Gajanan G. Hegde, Jennifer Shang, Arvind Venkat |
| Abstract |
With the rising prevalence of patients with autism spectrum disorder (ASD), there has been an increase in the acute presentation of these individuals to the general health care system. Emergency medical services and emergency department personnel commonly address the health care needs of patients with ASD at times of crisis. Unfortunately, there is little education provided to front-line emergency medical technicians, paramedics and emergency nurses on the characteristics of ASD and how these characteristics can create challenges for individuals with ASD and their health care providers in the pre-hospital and emergency department settings. This paper describes the development of educational materials on ASD and the results of training of emergency medical services and emergency department personnel. |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 151 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 16% |
| Student > Ph. D. Student | 20 | 13% |
| Researcher | 15 | 10% |
| Student > Bachelor | 13 | 9% |
| Student > Doctoral Student | 9 | 6% |
| Other | 28 | 19% |
| Unknown | 42 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 35 | 23% |
| Psychology | 22 | 15% |
| Medicine and Dentistry | 21 | 14% |
| Social Sciences | 13 | 9% |
| Computer Science | 5 | 3% |
| Other | 10 | 7% |
| Unknown | 45 | 30% |