Abstract in atti di convegno, 2012, ENG
G. Pioggia [1], L. Billeci [1], A. Narzisi [2], V. Farruggio [1], A. Arnao [1], G. Tartarisco [1], M. Ferro [3], R. Siracusano [4], E. Germanò [4], M. Deodato [5], G. Tortorella [4] and F. Muratori [6]
(1)Institute of Clinical Physiology, National Council of Research, Pisa, Italy, (2)Division of Child Neurology and Psychiatry, University of Pisa - Stella Maris Scientific Institute, Pisa, Italy, (3)Institute of Computational Linguistics, National Council of Research, Pisa, Italy, (4)Department of Child Neuropsychiatry, University of Messina, Hospital "G. Martino", Messina, Italy, (5)Department of Child and Adolescence Neuropsychiatry, Azienda Sanitaria Provinciale, Messina, Italy, (6)University of Pisa - Stella Maris Scientific Institute, Calambrone (Pisa), Italy
It is commonly recognized that autism spectrum disorder (ASD) symptoms are as early as 12 months of age and that the best outcomes are often achieved through early diagnosis and early intervention. However, there are many challenges to delivering health care to parents with a child with ASD. Difficulties to service delivery and utilization are more intensified for families living in suburban or remote areas, often resulting in limited access to preventative mental health services in general and parenting ASD interventions in particular. As Vismara an Rogers suggested (Vismara, 2010), the use of technology could support long-distance clinical health care. PRIMA PIETRA Italian project is focused on early diagnosis and intervention providing Early Start Denver Model (Dawson et al., 2009) using tele-rehabilitation. PRIMA PIETRA is a collaborative project supported by the Minister of Health of the Sicilian Region, in collaboration with Basilicata and Tuscany Regions.
International Meeting for Autism Research, Toronto, Canada, 18 May 2012
autism spectrum disorder, pervasive healthcare, early diagnosis
Billeci Lucia, Arnao Antonino Andrea, Farruggio Vincenzo, Tartarisco Gennaro, Pioggia Giovanni, Ferro Marcello
IFC – Istituto di fisiologia clinica, ILC – Istituto di linguistica computazionale "Antonio Zampolli"
ID: 284777
Year: 2012
Type: Abstract in atti di convegno
Creation: 2014-10-03 08:05:42.000
Last update: 2023-01-11 14:51:47.000
External links
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URL: https://imfar.confex.com/imfar/2012/webprogram/Paper10070.html
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:284777