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A method for imputing the impact of health problems on at-work performance and productivity from available health
Debra Lerner1, Hong Chang, William H Rogers
1Tufts Medical Center, Tufts University School of Medicine and the Sackler School of Graduate Biomedical Sciences, Boston, Mass, USA. dlerner@tuftsmedicalcenter.org
Objective:
To develop a method for imputing the work performance and productivity impact of illness and treatment from available data.
Methods:
Using data from four studies of musculoskeletal disorders (eg, osteoarthritis) and pain, we modeled the relationships between scores from the Work Limitations Questionnaire (WLQ), a validated measure of health-related limitations in work performance and productivity, and a series of validated health measures (eg, a pain scale).
Results:
The 15 health and 5 WLQ variables were significantly associated in 115 of 116 study-specific models (P < 0.05).
Conclusion:
Fifteen commonly collected health variables may be used to predict WLQ impact (increase or decrease) for samples with musculoskeletal pain and physical impairments to help fill information gaps.
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