FIND Disability Statistics
American Community Survey (ACS)
- Employment Rate
- Not Working but Actively Looking for Work
- Full-Time / Full-Year Employment
- Annual Earnings
- Annual Household Income
- Supplemental Security Income (SSI)
- Educational Attainment
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Current Population Survey (CPS)
EEOC Charge Data
Rehabilitation Dataset Directory: Dataset Profile
Dataset: Survey of Pathways to Diagnosis and Services (Pathways)
|Dataset Full Name||Survey of Pathways to Diagnosis and Services|
The Survey of Pathways to Diagnosis and Services is a nationally representative survey about children with special health care needs aged 6 to 17 years old who were ever diagnosed with autism spectrum disorder, intellectual disability, or developmental delay. It was conducted in 2011 as a followup to the 2009-10 National Survey of Children with Special Health Care Needs (NS-CSHCN).
It was designed to increase the understanding regarding the processes by which these learning and developmental conditions are diagnosed and treated. The interview asked parents/guardians about the context of the diagnosis, symptom emergence, the child's current diagnosis status, educational services, and clinical treatments/interventions to address the developmental problems as well as their perspectives and concerns. A additional data collection effort, a Self Administered Questionnaire (SAQ) included a 49-item Children’s Social Behavior Questionnaire, designed to describe the severity and pattern of social deficits and other behaviors characteristic of children with ASD, especially in milder ASD cases.
Children, Autism, Special health care needs, Developmental conditions, Treatment, Educational services, IEP, Early intervention services, Unmet needs, Insurance adequacy,Children’s Social Behavior Questionnaire
National Institutes of Health (NIH):
National Institute of Mental Health (NIMH)
|Health Conditions/Disability Measures|
Asperger’s Disorder, Autism spectrum disorders, ADD/ADHD, Anxiety disorders, Depression, Pervasive Developmental Disorder
Functional limitations (ADLs and/or IADLs), Developmental disabilities, Intellectual disability
|Measures/Outcomes of Interest|
Age at diagnosis, Diagnostician, Current diagnostic status, Emergence of symptoms, Current symptomatology and impairment levels, Health care services, Educational services, Interventions, Therapy, Service providers, Medication types and use, Alternative health care, Wandering & wandering prevention, Parental perceptions, Bullying,Children’s skills and abilities,
Parents/guardians of a sample of children identified as having (or having had) at least one of three developmental conditions (ASD, intellectual disability, and/or developmental delay). The sample was randomly selected from the 2009-2010 National Survey of Children with Special Health Care Needs (NS-CSHCN).
|Unit of Observation||
U.S. Census Regions:
|Data Collection Mode||
Telephone interview and self administered questionnaire
|Data Collection Frequency||
|Strengths and Limitations|
High response rate. Can be linked to NS-CSHCN data. The self administered questionnaire contains the 49-item Children’s Social Behavior Questionnaire (CSBQ, Hartman et al., 2006) that can be used to describe the severity and pattern of social deficits and other behaviors characteristic of children with ASD. It also contains the Strengths and Difficulties Questionnaire (SDQ, Goodman, 1997), which produces generalized scores for conduct problems, hyperactivity, emotional symptoms, peer problems, and pro-social behavior as well as questions related to chronicity, distress, social impairment, and burden to others.
Some variables are suppressed to protect confidentiality in the public use dataset - see the available FAQ for a listing (note: these variables may be available in restricted data). Not all telephone interview respondents agreed to/completed the self administered survey (75% response rate). Parents/guardians in 514 (of the 4,032 respondents) reported in the Pathways survey that the children did not currently have any of the three conditions (ASD, intellectual disability, and/or developmental delay) reported in the 2009-10 National Survey of Children with Special Health Care Needs (NS-CSHCN).
CDC (Pathways dataset):
Data Resource Center (DRC)
Enhanced Pathways dataset (merged with the 2009/10 NS-CSHCN interview file)
|Data Access Requirements||
Public Use Dataset
Restricted Dataset (includes some variables not available in the Public Use data)
List of Variables and Frequency Counts:
Browse Pathways Data (interactive query):
|Similar/Related Dataset(s)||Selected Papers|
Diagnostic History and Treatment of School-aged Children with Autism Spectrum Disorder and Special Health Care Needs:
Service and treatment use among children diagnosed with autism spectrum disorders
Parental Concerns, Provider Response, and Timeliness of Autism Spectrum Disorder Diagnosis
Prevalence and Correlates of Elopement in a Nationally Representative Sample of Children with Developmental Disabilities in the United States
Frequently Asked Questions:
Resources for Pathways Data Analysis:
Pathways Guide to Topics & Questions Asked:
Syntax for scoring the Strengths and Difficulties Questionnaire (SDQ)
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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
Other CLDR supported resources and collaborative opportunities:
- Archive of Data on Disability to Enable Policy and research (ADDEP)
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Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.
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