Evidence map›Paper›PMID 26849261›Full record

ArticleJournal of occupational and environmental medicine2016

Comparison of Employer Productivity Metrics to Lost Productivity Estimated by Commonly Used Questionnaires.

Bethany T Gardner, Ann Marie Dale, Skye Buckner-Petty, Linda Van Dillen, Benjamin C Amick, Bradley Evanoff

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of occupational and environmental medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. The Work Productivity and Activity Impairment (WPAI) questionnaire.Occupational medicine (Oxford, England) · 2026
    Article
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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

6 authors at 1 institution in 1 country.

Bethany T GardnerDivision of General Medical Sciences (Dr Gardner, Dr Dale, Ms Buckner-Petty, Dr Evanoff); Program in Physical Therapy (Dr Van Dillen), Washington University School of Medicine, St Louis, MO; and Department of Health Policy and Management (Dr Amick), Robert Stempel College of Public Health & Social Work, Florida International University, Miami.
Ann Marie Dale
Skye Buckner-Petty
Linda Van Dillen
Benjamin C Amick
Bradley Evanoff
Tamil Nadu Dr. M.G.R. Medical University · IN

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

objectiveThe aim of the study was to assess construct and discriminant validity of four health-related work productivity loss questionnaires in relation to employer productivity metrics, and to describe variation in economic estimates of productivity loss provided by the questionnaires in healthy workers.

methodsFifty-eight billing office workers completed surveys including health information and four productivity loss questionnaires. Employer productivity metrics and work hours were also obtained.

resultsProductivity loss questionnaires were weakly to moderately correlated with employer productivity metrics. Workers with more health complaints reported greater health-related productivity loss than healthier workers, but showed no loss on employer productivity metrics. Economic estimates of productivity loss showed wide variation among questionnaires, yet no loss of actual productivity.

conclusionsAdditional studies are needed comparing questionnaires with objective measures in larger samples and other industries, to improve measurement methods for health-related productivity loss.

Indexed as

EfficiencySurveys and QuestionnairesAbsenteeismAdultCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedOccupational HealthReproducibility of ResultsSelf Report

Identifiers

PMID26849261
PMCPMC5009902
OpenAlexW2258454410

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.