Title |
Telehealth as a Model for Providing Behaviour Analytic Interventions to Individuals with Autism Spectrum Disorder: A Systematic Review
|
---|---|
Published in |
Journal of Autism and Developmental Disorders, August 2018
|
DOI | 10.1007/s10803-018-3724-5 |
Pubmed ID | |
Authors |
Jenny Ferguson, Emma A. Craig, Katerina Dounavi |
Abstract |
Interventions based on applied behaviour analysis are considered evidence based practice for autism spectrum disorders. Due to the shortage of highly qualified professionals required for their delivery, innovative models should be explored, such as telehealth. Telehealth utilises technology for remote training and supervision. The purpose of our study was to systematically review the literature researching telehealth and ABA. We analysed intervention characteristics, outcomes and research quality in 28 studies and identified gaps. Intervention characteristics were: (1) research design (2) participants (3) technology (4) dependent variables (5) aims. Outcomes were favourable with all studies reporting improvements in at least one variable. Quality ratings were significantly low. Implications for future research and practice are discussed in light of identified methodological downfalls. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 294 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 32 | 11% |
Researcher | 28 | 10% |
Student > Ph. D. Student | 28 | 10% |
Student > Doctoral Student | 28 | 10% |
Student > Bachelor | 28 | 10% |
Other | 56 | 19% |
Unknown | 94 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 82 | 28% |
Medicine and Dentistry | 27 | 9% |
Nursing and Health Professions | 26 | 9% |
Social Sciences | 20 | 7% |
Computer Science | 11 | 4% |
Other | 27 | 9% |
Unknown | 101 | 34% |