title: Comparison of Employer Productivity Metrics to Lost Productivity Estimated by Commonly Used Questionnaires.
abstract: OBJECTIVE
  The 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.
  
  
  METHODS
  Fifty-eight billing office workers completed surveys including health information and four productivity loss questionnaires. Employer productivity metrics and work hours were also obtained.
  
  
  RESULTS
  Productivity 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.
  
  
  CONCLUSIONS
  Additional studies are needed comparing questionnaires with objective measures in larger samples and other industries, to improve measurement methods for health-related productivity loss.
authors: Division 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.
authors: Bethany T
authors: BT
authors: Gardner
authors: Ann Marie
authors: AM
authors: Dale
authors: Skye
authors: S
authors: Buckner-Petty
authors: Linda
authors: L
authors: Van Dillen
authors: Benjamin C
authors: BC
authors: Amick
authors: Bradley
authors: B
authors: Evanoff
mesh_terms: D000041:Absenteeism; D000328:Adult; D003430:Cross-Sectional Studies; D004526:Efficiency; D005260:Female; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D016272:Occupational Health / Q000706:statistics & numerical data*; D015203:Reproducibility of Results; D057566:Self Report; D011795:Surveys and Questionnaires