Evidence map›Paper›PMID 26091980›Full record

ArticleJournal of occupational rehabilitation2016

Functional Measures Developed for Clinical Populations Identified Impairment Among Active Workers with Upper Extremity Disorders.

Bethany T Gardner, Ann Marie Dale, Skye Buckner-Petty, Robert Rachford, Jaime Strickland, Vicki Kaskutas, Bradley Evanoff

Abstract read
In one paragraph

Article in Journal of occupational rehabilitation, 2016. 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
0.8field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  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

7 authors at 1 institution in 1 country.

Bethany T GardnerDivision of General Medical Sciences, Washington University School of Medicine, Campus Box 8005, 660 S. Euclid Avenue, Saint Louis, MO, 63110, USA.
Ann Marie DaleDivision of General Medical Sciences, Washington University School of Medicine, Campus Box 8005, 660 S. Euclid Avenue, Saint Louis, MO, 63110, USA. adale@dom.wustl.edu.
Skye Buckner-PettyDivision of General Medical Sciences, Washington University School of Medicine, Campus Box 8005, 660 S. Euclid Avenue, Saint Louis, MO, 63110, USA.
Robert RachfordDivision of General Medical Sciences, Washington University School of Medicine, Campus Box 8005, 660 S. Euclid Avenue, Saint Louis, MO, 63110, USA.
Jaime StricklandDivision of General Medical Sciences, Washington University School of Medicine, Campus Box 8005, 660 S. Euclid Avenue, Saint Louis, MO, 63110, USA.
Vicki KaskutasDivision of General Medical Sciences, Washington University School of Medicine, Campus Box 8005, 660 S. Euclid Avenue, Saint Louis, MO, 63110, USA.
Bradley EvanoffDivision of General Medical Sciences, Washington University School of Medicine, Campus Box 8005, 660 S. Euclid Avenue, Saint Louis, MO, 63110, USA.
Washington University in St. Louis · US

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
The Heartland Center for Occupational Health and Safety Education and Research CenterT42OH008491 · OH · UNIVERSITY OF IOWA · PI O'SHAUGHNESSY, PATRICK T · 2005 to 2025
$31.7M
Post-Offer Screening and Risk Factors for CTSR01OH008017 · OH · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2004 to 2013
$4.9M
ACL HHS T42OH008491NCATS NIH HHS UL1 TR000448NIOSH CDC HHS R01 OH008017NIOSH CDC HHS R01OH008017NIOSH CDC HHS T42 OH008491NIOSH CDC HHS T42OH008491
6 · The paper itself

Abstract

purposeFew studies have explored measures of function across a range of health outcomes in a general working population. Using four upper extremity (UE) case definitions from the scientific literature, we described the performance of functional measures of work, activities of daily living, and overall health.

methodsA sample of 573 workers completed several functional measures: modified recall versions of the QuickDASH, Levine Functional Status Scale (FSS), DASH Work module (DASH-W), and standard SF-8 physical component score. We determined case status based on four UE case definitions: (1) UE symptoms, (2) UE musculoskeletal disorders (MSD), (3) carpal tunnel syndrome (CTS), and (4) work limitations due to UE symptoms. We calculated effect sizes for each case definition to show the magnitude of the differences that were detected between cases and non-cases for each case definition on each functional measure. Sensitivity and specificity analyses showed how well each measure identified functional impairments across the UE case definitions.

resultsAll measures discriminated between cases and non-cases for each case definition with the largest effect sizes for CTS and work limitations, particularly for the modified FSS and DASH-W measures. Specificity was high and sensitivity was low for outcomes of UE symptoms and UE MSD in all measures. Sensitivity was high for CTS and work limitations.

conclusionsFunctional measures developed specifically for use in clinical, treatment-seeking populations may identify mild levels of impairment in relatively healthy, active working populations, but measures performed better among workers with CTS or those reporting limitations at work.

Indexed as

Work Capacity EvaluationActivities of Daily LivingAdultCarpal Tunnel SyndromeFemaleHumansLongitudinal StudiesMaleMiddle AgedMusculoskeletal DiseasesOccupational DiseasesQuality of LifeSurveys and QuestionnairesUpper ExtremityCase definitionsFunctional measuresHealth outcomesOccupational injuriesWork

Identifiers

PMID26091980
PMCPMC5301801
OpenAlexW1907507526

What OpenQuestion holds

Textmetadata
LicenceTDM
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.