Abstract
Purpose: Arthritis is associated with lost wages, work disability, and decreased productivity. There is a lack of knowledge regarding contextual factors that influence worker productivity to inform rehabilitation. Our study aims to identify the essential contextual factors that need to be considered when measuring worker productivity outcomes in people with arthritis.
Materials and methods: A three-round international Delphi survey was performed. Round 1 (N = 50) elicited a comprehensive list of contextual factors. In Round 2 (N = 27), participants ranked their top ten factors from the list in Round 1. In Round 3 (N = 27), participants ranked their top five factors and their suggested outcome measures.
Results: The key contextual factors identified in the Delphi are (1) type of job (e.g., level of physical demand, manual vs. sedentary), (2) personal factors (e.g., attitude, self-esteem, personal satisfaction, motivation), (3) disease state, (4) financial need, (5) societal incentive (e.g., insurance, government support, return to work transition programs), and (6) age.
Conclusion: Future clinical trials in arthritis measuring worker productivity should consider the type of job (physical demands), personal factors, and disease state (as related to physical function). Contextual factors are not well investigated in the area but are crucial to developing the appropriate rehabilitation interventions.
This study identifies key contextual factors affecting worker productivity in people with arthritis: type of job, personal factors, disease state, financial need, societal incentive, and age.
To facilitate proper interpretation of patient outcomes, rehabilitation professionals should consider contextual factors alongside their standard assessment tools.
These findings provide a framework in designing rehabilitation programs and clinical trials on worker productivity in arthritis.
Implications for rehabilitation
Acknowledgements
Special thanks to the collaborators from the OMERACT Worker Productivity Group: Dorcas Beaton, Institute for Work and Health and the University of Toronto, Toronto ON Canada; Annelies Boonen, Internal Medicine-Rheumatology, University Hospital Maastricht, Maastricht, Netherlands; Diane Lacaille, Division of Rheumatology, Department of Medicine, University of British Columbia, Vancouver BC Canada; Suzanne Verstappen, Arthritis Research UK Center for Epidemiology, The University of Manchester, Manchester UK.
Disclosure statement
No potential conflict of interest was reported by the authors.