Article Text

other Versions

PDF
Predicting Occupational Diseases
  1. Eva Suarthana (e.suarthana{at}uu.nl)
  1. Institute for Risk Assessment Sciences, Utrecht University, Netherlands
    1. Evert Meijer (e.meijer{at}uu.nl)
    1. Institute for Risk Assessment Sciences, Utrecht University, Netherlands
      1. Diederick E Grobbee (d.e.grobbee{at}umcutrecht.nl)
      1. Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Netherlands
        1. Dick Heederik (d.heederik{at}uu.nl)
        1. Institute for Risk Assessment Sciences, Utrecht University, Netherlands

          Abstract

          Prediction research is relatively new to the occupational health field while it is well established to support decision making in clinical medicine. Prediction models are developed to estimate the individual probability of the presence (diagnostic model) or future occurrence (prognostic model) of an outcome (i.e. disease). In contrast to etiologic studies, prediction studies utilize the associations between predictors and the outcome to estimate the probability of having or developing an outcome and are not aiming at explaining causal associations. Diagnostic prediction in the field of occupational health will enable objective and standardized quantification of the individual probability of having an occupational disease in a cost-effective manner by avoiding as much as possible the use of (invasive) advanced and costly reference test. Nevertheless, investigators should carefully design the model and clearly state the context where and how it can be used.

          Statistics from Altmetric.com

          Request permissions

          If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.