Abstract: Continuous data are commonly encountered in health care. Pooling intervention effects from continuous data presents many issues. Some of these issues will be discussed in this workshop. A brief introduction to meta-analysis of continuous outcomes will be included, consisting of: data extraction (extraction of standard deviations from standard errors, confidence intervals, test statistics, P values); and dealing with outcomes measured on different scales. More complex issues will be discussed including: options for pooling estimates of intervention effect when a mix of results from analyses using change from baseline and final values have been reported; incorporation of r esults from analysis of covariance and regression models; and use of the generic inverse variance.Issues will be illustrated by examples. Time will be allowed for discussion of the issues raised.