Literature DB >> 19475366

The impact of surveillance method and record source on autism prevalence: collaboration with Utah Maternal and Child Health programs.

Judith Pinborough-Zimmerman1, Deborah Bilder, Robert Satterfield, Shaheen Hossain, William McMahon.   

Abstract

With the increasing number of Utah children identified with autism spectrum disorders (ASDs), information on the prevalence and characteristics of these children could help Maternal Child Health (MCH) programs develop population building activities focused on prevention, screening, and education. The purpose of this study is to describe Utah's autism registry developed in collaboration with state MCH programs and assess the impact of different record-based surveillance methods on state ASD prevalence rates. The study was conducted using 212 ASD cases identified from a population of 26,217 eight year olds living in one of the three most populous counties in Utah (Davis, Salt Lake, and Utah) in 2002. ASD prevalence was determined using two records based approaches (administrative diagnoses versus abstraction and clinician review) by source of record ascertainment (education, health, and combined). ASD prevalence ranged from 7.5 per 1000 (95% CI 6.4-8.5) to 3.2 per 1000 (95% CI 2.5-3.9) varying significantly (P < .05) based on method and record source. The ratio of male-to-female ranged from 4.7:1 to 6.4:1. No significant differences were found between the two case ascertainment methods on 18 of the 23 case characteristics including median household income, parental education, and mean age of diagnosis. Broad support is needed from both education and health sources as well as collaboration with MCH programs to address the growing health concerns, monitoring, and treatment needs of children and their families impacted by autism spectrum disorders.

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Year:  2009        PMID: 19475366     DOI: 10.1007/s10995-009-0472-3

Source DB:  PubMed          Journal:  Matern Child Health J        ISSN: 1092-7875


  16 in total

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3.  The contribution of diagnostic substitution to the growing administrative prevalence of autism in US special education.

Authors:  Paul T Shattuck
Journal:  Pediatrics       Date:  2006-04       Impact factor: 7.124

4.  The UCLA-University of Utah epidemiologic survey of autism: prevalence.

Authors:  E R Ritvo; B J Freeman; C Pingree; A Mason-Brothers; L Jorde; W R Jenson; W M McMahon; P B Petersen; A Mo; A Ritvo
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5.  The changing prevalence of autism in California.

Authors:  Lisa A Croen; Judith K Grether; Jenny Hoogstrate; Steve Selvin
Journal:  J Autism Dev Disord       Date:  2002-06

6.  A national profile of the health care experiences and family impact of autism spectrum disorder among children in the United States, 2005-2006.

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7.  Evaluation of a methodology for a collaborative multiple source surveillance network for autism spectrum disorders--Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2002.

Authors:  Kim Van Naarden Braun; Sydney Pettygrove; Julie Daniels; Lisa Miller; Joyce Nicholas; Jon Baio; Laura Schieve; Russell S Kirby; Anita Washington; Sally Brocksen; Hossein Rahbar; Catherine Rice
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8.  Prevalence of autism spectrum disorders--autism and developmental disabilities monitoring network, 14 sites, United States, 2002.

Authors: 
Journal:  MMWR Surveill Summ       Date:  2007-02-09

9.  Prenatal, perinatal, and neonatal factors associated with autism spectrum disorders.

Authors:  Deborah Bilder; Judith Pinborough-Zimmerman; Judith Miller; William McMahon
Journal:  Pediatrics       Date:  2009-05       Impact factor: 7.124

10.  Communication disorders: prevalence and comorbid intellectual disability, autism, and emotional/behavioral disorders.

Authors:  Judith Pinborough-Zimmerman; Robert Satterfield; Judith Miller; Deborah Bilder; Shaheen Hossain; William McMahon
Journal:  Am J Speech Lang Pathol       Date:  2007-11       Impact factor: 2.408

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  6 in total

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2.  Objective Estimates of Direct-Medical Costs Among Persons Aged 3 to 38 Years With and Without Research-Defined Autism Spectrum Disorder Ascertained During Childhood: A Population-Based Birth-Cohort Study.

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Authors:  Sarah L Logan; Laura Carpenter; R Scott Leslie; Kelly S Hunt; Elizabeth Garrett-Mayer; Jane Charles; Joyce S Nicholas
Journal:  J Autism Dev Disord       Date:  2014-11

4.  Changes in the administrative prevalence of autism spectrum disorders: contribution of special education and health from 2002-2008.

Authors:  Judith Pinborough-Zimmerman; Amanda V Bakian; Eric Fombonne; Deborah Bilder; Jocelyn Taylor; William M McMahon
Journal:  J Autism Dev Disord       Date:  2012-04

5.  Prevalence of autism spectrum disorder in a large, diverse metropolitan area: Variation by sociodemographic factors.

Authors:  Josephine Shenouda; Emily Barrett; Amy L Davidow; William Halperin; Vincent M B Silenzio; Walter Zahorodny
Journal:  Autism Res       Date:  2021-10-21       Impact factor: 5.216

6.  Aberrant Behaviors and Co-occurring Conditions as Predictors of Psychotropic Polypharmacy among Children with Autism Spectrum Disorders.

Authors:  Sarah L Logan; Laura Carpenter; R Scott Leslie; Elizabeth Garrett-Mayer; Kelly J Hunt; Jane Charles; Joyce S Nicholas
Journal:  J Child Adolesc Psychopharmacol       Date:  2015-04-28       Impact factor: 2.576

  6 in total

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