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Comparing Measures Of Functional Difficulty With Self-Identified Disability: Implications For Health Policy

The Affordable Care Act mandated data collection standards to identify people with disabilities in federal surveys to better understand and address health disparities within this population. Most federal surveys use six questions from the American Community Survey (ACS-6) to identify people with dis...

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Autores principales: Hall, Jean P., Kurth, Noelle K., Ipsen, Catherine, Myers, Andrew, Goddard, Kelsey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353341/
https://www.ncbi.nlm.nih.gov/pubmed/36190890
http://dx.doi.org/10.1377/hlthaff.2022.00395
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author Hall, Jean P.
Kurth, Noelle K.
Ipsen, Catherine
Myers, Andrew
Goddard, Kelsey
author_facet Hall, Jean P.
Kurth, Noelle K.
Ipsen, Catherine
Myers, Andrew
Goddard, Kelsey
author_sort Hall, Jean P.
collection PubMed
description The Affordable Care Act mandated data collection standards to identify people with disabilities in federal surveys to better understand and address health disparities within this population. Most federal surveys use six questions from the American Community Survey (ACS-6) to identify people with disabilities, whereas many international surveys use the six-item Washington Group Short Set (WG-SS). The National Survey on Health and Disability (NSHD), which focuses on working-age adults ages 18–64, uses both question sets and contains other disability questions. We compared ACS-6 and WG-SS responses with self-reported disability types. The ACS-6 and WG-SS failed to identify 20 percent and 43 percent, respectively, of respondents who reported disabilities in response to other NSHD questions (a broader WG-SS version missed 4.4 percent of respondents). The ACS-6 and the WG-SS performed especially poorly in capturing respondents with psychiatric disabilities or chronic health conditions. Researchers and policy makers must augment or strengthen federal disability questions to improve the accuracy of disability prevalence counts, understanding of health disparities, and planning of appropriate services for a diverse and growing population.
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spelling pubmed-103533412023-07-18 Comparing Measures Of Functional Difficulty With Self-Identified Disability: Implications For Health Policy Hall, Jean P. Kurth, Noelle K. Ipsen, Catherine Myers, Andrew Goddard, Kelsey Health Aff (Millwood) Article The Affordable Care Act mandated data collection standards to identify people with disabilities in federal surveys to better understand and address health disparities within this population. Most federal surveys use six questions from the American Community Survey (ACS-6) to identify people with disabilities, whereas many international surveys use the six-item Washington Group Short Set (WG-SS). The National Survey on Health and Disability (NSHD), which focuses on working-age adults ages 18–64, uses both question sets and contains other disability questions. We compared ACS-6 and WG-SS responses with self-reported disability types. The ACS-6 and WG-SS failed to identify 20 percent and 43 percent, respectively, of respondents who reported disabilities in response to other NSHD questions (a broader WG-SS version missed 4.4 percent of respondents). The ACS-6 and the WG-SS performed especially poorly in capturing respondents with psychiatric disabilities or chronic health conditions. Researchers and policy makers must augment or strengthen federal disability questions to improve the accuracy of disability prevalence counts, understanding of health disparities, and planning of appropriate services for a diverse and growing population. 2022-10 /pmc/articles/PMC10353341/ /pubmed/36190890 http://dx.doi.org/10.1377/hlthaff.2022.00395 Text en https://creativecommons.org/licenses/by/4.0/This open access article is distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license.
spellingShingle Article
Hall, Jean P.
Kurth, Noelle K.
Ipsen, Catherine
Myers, Andrew
Goddard, Kelsey
Comparing Measures Of Functional Difficulty With Self-Identified Disability: Implications For Health Policy
title Comparing Measures Of Functional Difficulty With Self-Identified Disability: Implications For Health Policy
title_full Comparing Measures Of Functional Difficulty With Self-Identified Disability: Implications For Health Policy
title_fullStr Comparing Measures Of Functional Difficulty With Self-Identified Disability: Implications For Health Policy
title_full_unstemmed Comparing Measures Of Functional Difficulty With Self-Identified Disability: Implications For Health Policy
title_short Comparing Measures Of Functional Difficulty With Self-Identified Disability: Implications For Health Policy
title_sort comparing measures of functional difficulty with self-identified disability: implications for health policy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353341/
https://www.ncbi.nlm.nih.gov/pubmed/36190890
http://dx.doi.org/10.1377/hlthaff.2022.00395
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