Evidence map›Paper›PMID 39280043›Full record

ArticleHealth affairs scholar2024

Counting everyone: evidence for inclusive measures of disability in federal surveys.

Jean P Hall, Kelsey S Goddard, Catherine Ipsen, Andrew Myers, Noelle K Kurth

Abstract read
In one paragraph

Article in Health affairs scholar, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jean P HallInstitute for Health and Disability Policy Studies, University of Kansas, Lawrence, KS 66045, United States.
Kelsey S GoddardInstitute for Health and Disability Policy Studies, University of Kansas, Lawrence, KS 66045, United States.
Catherine IpsenRural Institute for Inclusive Communities, University of Montana, Missoula, MT 59812, United States.
Andrew MyersRural Institute for Inclusive Communities, University of Montana, Missoula, MT 59812, United States.
Noelle K KurthInstitute for Health and Disability Policy Studies, University of Kansas, Lawrence, KS 66045, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The US Census Bureau has used the American Community Survey six-question set (ACS-6) to identify disabled people since 2008. In late 2023, the Census Bureau proposed changes to these questions that would have reduced disability prevalence estimates by 42%. Because these estimates inform funding and programs that support the health and independence of people with disabilities, many disability researchers and advocates feared this change in data collection would lead to reductions in funding and services. While the Census has paused-but not ruled out-the proposed changes, it is critical that alternate, more inclusive disability questions be identified and tested. We used data from the 2023/2024 National Survey on Health and Disability to explore alternative questions to identify disabled people in national surveys. A single broad question about conditions identified 11.2% more people with disabilities, and missed significantly fewer people with psychiatric disabilities compared to the current ACS-6 questions. A combination of a broad question and the existing ACS-6 questions may be necessary to more accurately and inclusively identify people with disabilities.

Indexed as

ACS-6censusdisabilitydisability measurement

Identifiers

PMID39280043
PMCPMC11393306

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.