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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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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. |
format | Online Article Text |
id | pubmed-10353341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
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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