Evidence map›Paper›PMID 33611754›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2021

Demographic and functional differences among social security disability claimants.

Molly Marino, Pengsheng Ni, Lewis Kazis, Diane Brandt, Alan Jette

Abstract read
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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Molly MarinoDepartment of Health Law, Policy, & Management, Boston University School of Public Health, Boston, MA, USA. memarino@bu.edu.ORCID http://orcid.org/0000-0002-9978-3038
Pengsheng NiDepartment of Health Law, Policy, & Management, Boston University School of Public Health, Boston, MA, USA.
Lewis KazisDepartment of Health Law, Policy, & Management, Boston University School of Public Health, Boston, MA, USA.
Diane BrandtRehabilitation Medicine Department, Mark O. Hatfield Clinical Research Center, National Institutes of Health, Bethesda, MD, USA.
Alan JetteDepartment of Health Law, Policy, & Management, Boston University School of Public Health, Boston, MA, USA.
Boston University · USNational Institutes of Health Clinical Center · US

Funding

CLC NIH HHS HHSN269200900004CCLC NIH HHS HHSN269201000011CCLC NIH HHS HHSN269201100009ICLC NIH HHS HHSN269201200005C
6 · The paper itself

Abstract

purposeSociodemographic characteristics may influence responses on self-reported measures. Differential item functioning (DIF) is when individuals expected to have the same ability level on a construct of interest have a different probability of endorsing an item on an item response theory (IRT) scale due to population characteristics. The goal of this study was to identify DIF for items in an outcome instrument by sociodemographic factors and, one controlling for DIF, assess true differences in function by those same factors.

methodsThe Work Disability Functional Assessment Battery 2.0 (WD-FAB 2.0) is an IRT-based self-reported measure of activity limitations relevant to work. Two samples from WD-FAB developed were used: 3793 SSA disability claimants randomly drawn from a pool of 16,500 claimants and a general sample if 2100 working age adults. We used a two-step IRT-based DIF method for three pairs of respondent characteristics: age, gender, and race/ethnicity, and calculated the weighted absolute difference between item characteristic curves. Independent two-group T-tests assessed differences in scores across groups.

resultsSeventeen items displayed DIF. Men had higher scores than women on two physical and two mental function scales. Older respondents had lower physical and higher mental function scores. The lower education group had lower mental function scores.

conclusionDIF impacts function measurement and is important when assessing psychometric characteristics of instruments. Self-report measures should include diverse samples to conduct similar analyses. WD-FAB 2.0 scores are now reflections of function with reduced bias related to gender, race/ethnicity, or age.

Indexed as

Disability EvaluationAdultBiasFemaleHumansIncomeMaleMiddle AgedPersons with DisabilitiesPsychometricsQuality of LifeSelf ReportSocial SecuritySurveys and QuestionnairesDifferential item functioningFunctional assessmentPsychometricsWork disability

Identifiers

PMID33611754
OpenAlexW3131664476

What OpenQuestion holds

Textmetadata
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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.