Job Exposure Matrices (JEM) have been developed by occupational epidemiologists to estimate worker exposures based on job classifications. Since their inception in the 1980s, JEMs have evolved significantly, expanding from chemical exposures associated with cancer and chronic diseases to physical, biological, and psychosocial factors relevant to musculoskeletal, mental, cardiovascular, and autoimmune disorders. Recent developments highlight their role beyond research in public health as a helping tool for clinicians, policymakers, occupational practitioners (physician, nurses, preventionists, and hygiene and safety officers), or even workers as an information source. Notable contemporary examples include JEM initiatives for healthcare workers, employing advanced methods such as machine learning and creating web-accessible platforms on occupational exposure for stakeholders. Despite their utility, caution is necessary regarding variability in exposure levels, and explicit ethical guidelines must govern their use to prevent misleading interpretations.
Descatha et al. (Fri,) studied this question.