TY - JOUR T1 - A graphical tool to evaluate temporal coverage of occupational history by exposure measurements JF - Occupational and Environmental Medicine JO - Occup Environ Med SP - 636 LP - 638 DO - 10.1136/oem.2009.053421 VL - 67 IS - 9 AU - Jelle Vlaanderen AU - Wouter Fransman AU - Brian Miller AU - Igor Burstyn AU - Dick Heederik AU - Fintan Hurley AU - Roel Vermeulen AU - Hans Kromhout Y1 - 2010/09/01 UR - http://oem.bmj.com/content/67/9/636.abstract N2 - Introduction In occupational epidemiology, differences in the temporal coverage of the exposure history by available exposure measurement data may affect the uncertainty of exposure estimates. In the reporting of results of studies, greater attention should be paid to the extent to which exposure assessments require extrapolation outside the timeframe for which exposure measurements are available. We propose a simple graphical method that can be used to visualise the temporal coverage of exposure history with exposure measurements and the extent of temporal extrapolation needed.Methods We construct a graph that displays the accumulated work history years for which exposure had to be assessed in each calendar year. Years for which exposure measurements were available are shaded. The proportion of work history years covered by exposure measurements and the proportion of work history years accrued before the first measurements are summarised. When available, the actual number of measurements available in each calendar year is shown.Results We demonstrate the application of the graphical tool in three nested case–control studies that reported on leukaemia in relation to low-level benzene exposures in the petroleum industry. Considerable differences in temporal coverage between the studies were illustrated, which may have resulted in differences in the reliability of the retrospective exposure estimates derived for these studies.Conclusion We introduce a graphical tool for visualising the temporal coverage by available exposure measurement data in epidemiological studies and encourage others to use similar graphs to derive and share better qualitative insights into the uncertainty in exposure assessment. ER -