Survey non-response in an internet-mediated, longitudinal autism research study

To evaluate non-response rates to follow-up online surveys using a prospective cohort of parents raising at least one child with an autism spectrum disorder. A secondary objective was to investigate predictors of non-response over time. Data were collected from a US-based online research database, t...

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Bibliographic Details
Published in:Journal of the American Medical Informatics Association : JAMIA 2012-07, Vol.19 (4), p.668-673
Main Authors: Kalb, Luther G, Cohen, Cheryl, Lehmann, Harold, Law, Paul
Format: Article
Language:English
Subjects:
Adolescent
Adult
Child
Child Development Disorders, Pervasive - epidemiology
Child, Preschool
Female
Health Services Accessibility
Health Services Research - methods
Health Services Research - statistics & numerical data
Health Surveys - methods
Health Surveys - statistics & numerical data
Humans
Infant
Internet
Kaplan-Meier Estimate
Logistic Models
Longitudinal Studies
Male
Multivariate Analysis
Parents
Population Surveillance - methods
Research and Applications
United States - epidemiology
Young Adult
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Summary:To evaluate non-response rates to follow-up online surveys using a prospective cohort of parents raising at least one child with an autism spectrum disorder. A secondary objective was to investigate predictors of non-response over time. Data were collected from a US-based online research database, the Interactive Autism Network (IAN). A total of 19,497 youths, aged 1.9-19 years (mean 9 years, SD 3.94), were included in the present study. Response to three follow-up surveys, solicited from parents after baseline enrollment, served as the outcome measures. Multivariate binary logistic regression models were then used to examine predictors of non-response. 31,216 survey instances were examined, of which 8772 or 28.1% were partly or completely responded to. Results from the multivariate model found non-response of baseline surveys (OR 28.0), years since enrollment in the online protocol (OR 2.06), and numerous sociodemographic characteristics were associated with non-response to follow-up surveys (all p
ISSN:1067-5027
1527-974X
DOI:10.1136/amiajnl-2012-000863