Evidence map›Paper›PMID 40335372›Full record

ArticleDisability and health journal2025

Accessible, not Exploitable: Navigating fraud prevention in disability research.

Kelsey S Goddard, Jean P Hall, Noelle K Kurth

Abstract read
In one paragraph

Article in Disability and health journal, 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. "I Don't Trust it, but I Use it": Navigating Trust, Privacy, and Identity in Disabled People's Use of Generative AI.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2026
    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

3 authors.

Kelsey S GoddardUniversity of Kansas, Institute for Health and Disability Policy Studies (KU-IHDPS), 1000 Sunnyside Ave., Room 1052, Lawrence, KS, 66045, USA. Electronic address: ksg@ku.edu.
Jean P HallUniversity of Kansas, Institute for Health and Disability Policy Studies (KU-IHDPS), 1000 Sunnyside Ave., Room 1052, Lawrence, KS, 66045, USA. Electronic address: jhall@ku.edu.
Noelle K KurthUniversity of Kansas, Institute for Health and Disability Policy Studies (KU-IHDPS), 1000 Sunnyside Ave., Room 1052, Lawrence, KS, 66045, USA. Electronic address: pixie@ku.edu.

Funding

ACL HHS 90IFRE0050ACL HHS 90IFRE0089
6 · The paper itself

Abstract

Disability-focused research is vital for informing policies and services that address the unique needs of people with disabilities. However, survey fraud poses a growing threat to the integrity of such research. Fraudulent responses, often facilitated by bots or scammers, disproportionately impact studies with small sample sizes, where even minimal distortion can significantly skew findings and misinform policy decisions. Compounding the issue, traditional fraud detection mechanisms, such as CAPTCHA tasks and automated response-time analysis, often exclude legitimate participants, particularly those who rely on assistive technologies or face accessibility barriers. This commentary examines the recruitment paradox inherent in disability research, where inclusive participation incentives inadvertently invite fraud while restrictive measures risk excluding genuine respondents. To address these dual challenges, we propose adaptive fraud detection tools, participatory design approaches, and equitable incentive structures that balance inclusivity with data integrity. These strategies advance robust, representative findings to support effective and equitable policy development.

Indexed as

Data CollectionFraudPatient SelectionPersons with DisabilitiesResearch DesignHumansMotivationAccessibilityData integrityDisability researchInclusivitySurvey fraud

Identifiers

PMID40335372
PMCPMC12354049

What OpenQuestion holds

Textmetadata
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.