Evidence map›Paper›PMID 36190890›Full record

ArticleHealth affairs (Project Hope)2022

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

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

Open access · hybridAbstract read
In one paragraph

Article in Health affairs (Project Hope), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
9.7field-weighted citation impact, top 1% of its field
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

40 citing papers in PubMed, 61 citations in OpenAlex.

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  8. Risk of Suicide Among U.S. Adults With Work Disability.American journal of preventive medicine · 2026
    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 at 4 institutions in 3 countries.

Jean P HallJean P. Hall (jhall@ku.edu), University of Kansas, Lawrence, Kansas.
Noelle K KurthNoelle K. Kurth, University of Kansas.
Catherine IpsenCatherine Ipsen, University of Montana, Missoula, Montana.
Andrew MyersAndrew Myers, University of Montana.
Kelsey GoddardKelsey Goddard, University of Kansas.
University of Kansas · USKursk State University · RUUniversity of Montana · USUniversity of Mysore · IN

Funding

ACL HHS 90IFRE0050
6 · The paper itself

Abstract

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.

Indexed as

Patient Protection and Affordable Care ActPersons with DisabilitiesAdolescentAdultHealth PolicyHealth SurveysHumansMiddle AgedSurveys and QuestionnairesUnited StatesYoung Adult

Identifiers

PMID36190890
PMCPMC10353341
OpenAlexW4300688904

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.