Or lack of homogeneity. The term is used in meta-analyses and systematic reviews when the results or estimates of effects from separate studies seem to have different magnitude or even different sign or direction. Differences in the patient populations, outcome measures, definition of variables and duration of follow-up of the studies included in the analysis create problems of non-compatibility. See also homogeneity.