Author(s): Mirandola Tansella
An important vital part of research into the efficacy of mental health services is the study of the patterns of difference in health-care costs and the factors that affect them. To induce more thoughtful consideration of the precise objectives of these investigations and the selection of statistical techniques best suited to achieving them on the part of both the researchers of the variance in health care costs and the consumers of such studies. We give some examples of regression models that could be used to forecast the expenses of mental health care and explain how to pick the best one to utilise for a certain research project. This gap is to be filled by the current review. We neither intend to describe in-depth the instances in which each of these approaches has been utilised in the literature on mental health nor do we intend to evaluate the effectiveness of any specific usage. Given the inescapable space constraints of such a review, we won't linger on many of the technical specifics instead providing a brief overview of many of the current methods and highlighting how and when they might be useful. The analysis of incremental cost-effectiveness ratios using data from randomised controlled trials is a significant field of health economics that might not seem to have anything in do with health econometrics.