Evidence map›Paper›PMID 38252325›Full record

ArticleJournal of occupational rehabilitation2024

Assistive Technology's Potential to Improve Employment of People with Disabilities.

Douglas Kruse, Lisa Schur, Hazel-Anne Johnson-Marcus, Lauren Gilbert, Antonio Di Lallo, Weibo Gao, Hao Su

Abstract read
In one paragraph

Article in Journal of occupational rehabilitation, 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
  2. Review
  3. Article
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  5. 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

7 authors.

Douglas KruseSchool of Management and Labor Relations, Rutgers University, 94 Rockafeller Road, Piscataway, NJ, 08854, USA. dkruse@smlr.rutgers.edu.ORCID 0000-0002-7121-7616
Lisa SchurSchool of Management and Labor Relations, Rutgers University, 94 Rockafeller Road, Piscataway, NJ, 08854, USA.ORCID 0000-0002-3752-0777
Hazel-Anne Johnson-MarcusSchool of Management and Labor Relations, Rutgers University, 94 Rockafeller Road, Piscataway, NJ, 08854, USA.ORCID 0000-0002-7278-2449
Lauren GilbertSchool of Management and Labor Relations, Rutgers University, 94 Rockafeller Road, Piscataway, NJ, 08854, USA.ORCID 0009-0009-4440-6380
Antonio Di LalloLab of Biomechatronics and Intelligent Robotics, Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, 27695, USA.ORCID 0000-0001-6389-4177
Weibo GaoLab of Biomechatronics and Intelligent Robotics, Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, 27695, USA.ORCID 0009-0006-5138-7040
Hao SuLab of Biomechatronics and Intelligent Robotics, Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, 27695, USA.ORCID 0000-0003-3299-7418

Funding

ACL HHS 90RTEM0006National Institute on Disability, Independent Living, and Rehabilitation Research 90RTEM0008-01-00National Science Foundation 2026622
6 · The paper itself

Abstract

purposeThis study investigates how access to assistive technologies affects employment and earnings among people with disabilities.

methodsWe first document employment and earnings gaps associated with specific impairments and activity limitations using 2017-2021 American Community Survey and 2014 Survey of Income and Program Participation data. We then use accommodations data from the 2012, 2019, and 2021 Current Population Survey (CPS) Disability Supplements to examine employment and earnings growth for people with disabilities related both to any, and to technology-based, accommodations. We also provide short descriptions of three developing assistive technologies that assist people with upper body impairments, visual impairments, and anxiety conditions.

resultsAlmost all impairments and activity limitations are linked to lower employment and earnings, with especially low employment among people with mobility impairments and particularly low earnings among those with cognitive impairments. About one-tenth of workers with disabilities received any accommodations, and 3-4% received equipment-based accommodations in the 2012-2021 period; these figures increased slightly over the period. The occupations with the highest disability accommodations rates had greater disability employment growth from 2012 to 2021, but disability pay gaps did not decrease more in these occupations. The three developing assistive technologies we describe illustrate the potential to reduce the estimated employment and earnings deficits.

conclusionAssistive technology accommodations have potential for improving employment outcomes for people with disabilities.

Indexed as

EmploymentPersons with DisabilitiesSelf-Help DevicesAdolescentAdultFemaleHumansIncomeMaleMiddle AgedSurveys and QuestionnairesUnited StatesYoung AdultAccommodationsAssistive technologyDisabilityEmployment

Identifiers

PMID38252325
PMCPMC11219186

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.