Design, Methodology, and Early Findings of an Autism Registry Program: ABBILAR Project

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Bibliographic Details
Title: Design, Methodology, and Early Findings of an Autism Registry Program: ABBILAR Project
Language: English
Authors: Hassan Shahrokhi, Ayyoub Malek, Sanaz Norouzi, Shahrokh Amiri, Seyed Gholamreza Noorazar, Seifollah Heidarabadi, Ali Bahari Gharehgoz, Saeed Dastgiri, Mahsa Zali, Kamal Gholipour, Mohammad Barzegar, Raha Shahrokhi, Sahand Broumand, Shabnam Iezadi (ORCID 0000-0002-9644-5105)
Source: Autism: The International Journal of Research and Practice. 2025 29(6):1446-1457.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 12
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Autism Spectrum Disorders, Foreign Countries, Research, Case Records, Children, Adolescents, Clinical Diagnosis, Databases
Geographic Terms: Iran
DOI: 10.1177/13623613241305723
ISSN: 1362-3613
1461-7005
Abstract: This study aims to outline the establishment of an autism registry program in the East Azerbaijan province of Iran, delineate its components, present the initial descriptive analysis results of the registered cases, and outline potential opportunities for further utilization of registry data. The children and adolescents of age [less than or slanted equal to]18 years, who met the Fourth Edition of the Diagnostic and Statistical Manual of Mental Disorders or Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders criteria for autism spectrum disorder, were eligible for inclusion in the autism spectrum disorder registry program. A total of 1120 cases were registered from January 2015 to December 2023. The majority of the participants were male (81.60%), diagnosed with autism spectrum disorder between the ages of 3 and 7 years (41.90%), born through cesarean delivery (73.56%), and received their primary diagnosis from a psychiatrist (85.49%). According to the Fourth Edition of the Diagnostic and Statistical Manual of Mental Disorders criteria, approximately 83% of the cases were diagnosed with autistic disorder, 3% with Asperger's disorder, and 13% with pervasive developmental disorder not otherwise specified. The autism spectrum disorder registry has the potential to contribute significantly to the development of effective policies for diagnosis and treatment services. By linking children's clinical and treatment data, it can help shape healthcare policies and services on a broader scale.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1473878
Database: ERIC
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Abstract:This study aims to outline the establishment of an autism registry program in the East Azerbaijan province of Iran, delineate its components, present the initial descriptive analysis results of the registered cases, and outline potential opportunities for further utilization of registry data. The children and adolescents of age [less than or slanted equal to]18 years, who met the Fourth Edition of the Diagnostic and Statistical Manual of Mental Disorders or Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders criteria for autism spectrum disorder, were eligible for inclusion in the autism spectrum disorder registry program. A total of 1120 cases were registered from January 2015 to December 2023. The majority of the participants were male (81.60%), diagnosed with autism spectrum disorder between the ages of 3 and 7 years (41.90%), born through cesarean delivery (73.56%), and received their primary diagnosis from a psychiatrist (85.49%). According to the Fourth Edition of the Diagnostic and Statistical Manual of Mental Disorders criteria, approximately 83% of the cases were diagnosed with autistic disorder, 3% with Asperger's disorder, and 13% with pervasive developmental disorder not otherwise specified. The autism spectrum disorder registry has the potential to contribute significantly to the development of effective policies for diagnosis and treatment services. By linking children's clinical and treatment data, it can help shape healthcare policies and services on a broader scale.
ISSN:1362-3613
1461-7005
DOI:10.1177/13623613241305723