  We generalize the so-called density approach to Stein characterizations of
probability distributions. We prove an elementary factorization property of the
resulting Stein operator in terms of a generalized (standardized) score
function. We use this result to connect Stein characterizations with
information distances such as the generalized (standardized) Fisher
information.
