Estimating investment worthiness of an ergonomic intervention for preventing low back pain from a firm's perspective.
A mathematical model was developed for estimating the net present value (NPV) of the cash flow resulting from an investment in an intervention to prevent occupational low back pain (LBP). It combines biomechanics, epidemiology, and finance to give an integrated tool for a firm to use to estimate the investment worthiness of an intervention based on a biomechanical analysis of working postures and hand loads. The model can be used by an ergonomist to estimate the investment worthiness of a proposed intervention. The analysis would begin with a biomechanical evaluation of the current job design and post-intervention job. Economic factors such as hourly labor cost, overhead, workers' compensation costs of LBP claims, and discount rate are combined with the biomechanical analysis to estimate the investment worthiness of the proposed intervention. While this model is limited to low back pain, the simulation framework could be applied to other musculoskeletal disorders. The model uses Monte Carlo simulation to compute the statistical distribution of NPV, and it uses a discrete event simulation paradigm based on four states: (1) working and no history of lost time due to LBP, (2) working and history of lost time due to LBP, (3) lost time due to LBP, and (4) leave job. Probabilities of transitions are based on an extensive review of the epidemiologic review of the low back pain literature. An example is presented.
Hughes
Richard E
RE
Departments of Orthopaedic Surgery, Industrial & Operations Engineering, and Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA. rehughes@umich.edu
Nelson
Nancy A
NA
D019567:Back Injuries / Q000517:prevention & control; D003362:Cost-Benefit Analysis / Q000379:methods / Q000706:statistics & numerical data; D006804:Ergonomics / Q000191:economics* / Q000379:methods; D006801:Humans; D017116:Low Back Pain / Q000517:prevention & control*; D015233:Models, Statistical; D009010:Monte Carlo Method; D016272:Occupational Health