Evidence map›Paper›PMID 41234681›Full record

ArticleHealth affairs scholar2025

Disability data: a case study in research limitation transparency.

Scott D Landes, Bonnielin K Swenor, Jean P Hall, Anjali J Forber-Pratt

Abstract read
In one paragraph

Article in Health affairs scholar, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Scott D LandesDepartment of Sociology and Aging Studies Institute, Maxwell School of Citizenship and Public Affairs, Syracuse NY 13244, United States.ORCID https://orcid.org/0000-0002-2151-7805
Bonnielin K SwenorJohns Hopkins Disability Health Research Center, Johns Hopkins University, Baltimore, MD 21218, United States.ORCID https://orcid.org/0000-0002-6044-0951
Jean P HallInstitute for Health and Disability Policy Studies, University of Kansas, Lawrence, KS 66045, United States.ORCID https://orcid.org/0000-0001-7236-1807
Anjali J Forber-PrattAmerican Association on Health & Disability, Rockville, MD 20850, United States.ORCID https://orcid.org/0000-0001-9061-2382

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disability measures currently used in U.S. federal surveys fail to identify many disabled people as such. This commentary summarizes empirical evidence regarding the underperformance of the American Community Survey six questions (ACS6) and Washington Group Short Set (WGSS) questions in measuring disability status. Building trust in science is a priority issue and necessitates greater transparency and communication about the limitations of these measures, both within research communities and among the public. Considering the underperformance of the ACS6 and WGSS in measuring disability status, we provide cautionary statements that researchers can use when including these measures in studies to ensure that interpretations of results are not overgeneralized to the disabled population.

Indexed as

disabilitygeneralizabilitylimitationsmeasurement

Identifiers

PMID41234681
PMCPMC12606725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.