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Impact of County Sociodemographic Factors and State Policy on Geographic Access to Behavior Analysts Among Children with Autism Spectrum Disorder

To examine the relationship between geographic access to Board Certified Behavior Analysts (BCBAs) among children with autism spectrum disorder (ASD) and county sociodemographic factors and state policy, we integrated publicly available data from the U.S. Department of Education’s Civil Rights Data...

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Autores principales: Yingling, Marissa E., Ruther, Matthew H., Dubuque, Erick M., Bell, Bethany A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900801/
https://www.ncbi.nlm.nih.gov/pubmed/33620610
http://dx.doi.org/10.1007/s10488-021-01120-y
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author Yingling, Marissa E.
Ruther, Matthew H.
Dubuque, Erick M.
Bell, Bethany A.
author_facet Yingling, Marissa E.
Ruther, Matthew H.
Dubuque, Erick M.
Bell, Bethany A.
author_sort Yingling, Marissa E.
collection PubMed
description To examine the relationship between geographic access to Board Certified Behavior Analysts (BCBAs) among children with autism spectrum disorder (ASD) and county sociodemographic factors and state policy, we integrated publicly available data from the U.S. Department of Education’s Civil Rights Data Collection, Behavior Analyst Certification Board’s certificant registry, and U.S. Census. The study sample included U.S. counties and county equivalents (e.g., parishes, independent cities) in 49 states and D.C. (N = 3040). Using GIS software, we assigned BCBAs to counties based on their residence, allocated children via school districts to counties, and generated per-capita children with ASD/BCBA ratios. We distributed counties into five categories based on these ratios: no BCBAs (reference), ≥ 31, 21–30, 11–20, > 0–10. We used a generalized logit model to conduct analyses. Highly affluent and urban counties had the highest access to BCBAs with odds ratio estimates for affluence ranging from 2.26 to 5.26. County-level poverty was positively associated with access, yet this relationship was moderated by urbanicity. Race-ethnicity and healthcare insurance coverage were negatively related to access. Other variables were not significant. Targeting non-urban and less affluent counties for provider recruitment and maintenance could most improve access to BCBAs. In addition to strategies specific to BCBAs for improving geographic access, traditional strategies used for other healthcare providers could be useful.
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spelling pubmed-79008012021-02-23 Impact of County Sociodemographic Factors and State Policy on Geographic Access to Behavior Analysts Among Children with Autism Spectrum Disorder Yingling, Marissa E. Ruther, Matthew H. Dubuque, Erick M. Bell, Bethany A. Adm Policy Ment Health Original Article To examine the relationship between geographic access to Board Certified Behavior Analysts (BCBAs) among children with autism spectrum disorder (ASD) and county sociodemographic factors and state policy, we integrated publicly available data from the U.S. Department of Education’s Civil Rights Data Collection, Behavior Analyst Certification Board’s certificant registry, and U.S. Census. The study sample included U.S. counties and county equivalents (e.g., parishes, independent cities) in 49 states and D.C. (N = 3040). Using GIS software, we assigned BCBAs to counties based on their residence, allocated children via school districts to counties, and generated per-capita children with ASD/BCBA ratios. We distributed counties into five categories based on these ratios: no BCBAs (reference), ≥ 31, 21–30, 11–20, > 0–10. We used a generalized logit model to conduct analyses. Highly affluent and urban counties had the highest access to BCBAs with odds ratio estimates for affluence ranging from 2.26 to 5.26. County-level poverty was positively associated with access, yet this relationship was moderated by urbanicity. Race-ethnicity and healthcare insurance coverage were negatively related to access. Other variables were not significant. Targeting non-urban and less affluent counties for provider recruitment and maintenance could most improve access to BCBAs. In addition to strategies specific to BCBAs for improving geographic access, traditional strategies used for other healthcare providers could be useful. Springer US 2021-02-23 2021 /pmc/articles/PMC7900801/ /pubmed/33620610 http://dx.doi.org/10.1007/s10488-021-01120-y Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Yingling, Marissa E.
Ruther, Matthew H.
Dubuque, Erick M.
Bell, Bethany A.
Impact of County Sociodemographic Factors and State Policy on Geographic Access to Behavior Analysts Among Children with Autism Spectrum Disorder
title Impact of County Sociodemographic Factors and State Policy on Geographic Access to Behavior Analysts Among Children with Autism Spectrum Disorder
title_full Impact of County Sociodemographic Factors and State Policy on Geographic Access to Behavior Analysts Among Children with Autism Spectrum Disorder
title_fullStr Impact of County Sociodemographic Factors and State Policy on Geographic Access to Behavior Analysts Among Children with Autism Spectrum Disorder
title_full_unstemmed Impact of County Sociodemographic Factors and State Policy on Geographic Access to Behavior Analysts Among Children with Autism Spectrum Disorder
title_short Impact of County Sociodemographic Factors and State Policy on Geographic Access to Behavior Analysts Among Children with Autism Spectrum Disorder
title_sort impact of county sociodemographic factors and state policy on geographic access to behavior analysts among children with autism spectrum disorder
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900801/
https://www.ncbi.nlm.nih.gov/pubmed/33620610
http://dx.doi.org/10.1007/s10488-021-01120-y
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