Meconium analysis is especially important to identify neonates who have been exposed to cannabis in utero, which appear normal at birth and therefore may not be recognized. Timely detection of these newborns at risk provides the basis for appropriate treatment and adequate medical and social follow-up.

Background: Awareness of the negative effects of smoking on children's health prompted a decrease in the self-reporting of parental tobacco use in periodic surveys from most industrialized countries. Our aim is to assess changes between ETS exposure at the end of pregnancy and at 4 years of age determined by the parents' self-report and measurement of cotinine in age related biological matrices.

Smoke-free policies can be an effective strategy for reducing both first-hand and second-hand exposure to cigarette smoke in pregnant women and their newborns. Due to the implementation of smoke-free legislation and information campaigns against smoking, a significant trend towards less active smoking during pregnancy was observed in our study cohort, as well as a minimal exposure to ETS in non-smoking pregnant women and their newborns.

The use of mathematical models to assess therapeutic alternatives is increasing in the economic evaluation of health technologies and services and these models are becoming an increasingly important aid to decision making in health care. Until now, 2 types of model have been used, depending to some extent on the disease to be studied: decision trees have been used for acute diseases and Markov models in chronic or recurrent diseases. However, both models present major limitations when addressing complex processes or diseases. Consequently, interest in, and the use of, discrete-event simulation is growing. The present article aims to describe the main characteristics of discrete-event simulation, the state of the art in this field, and the advantages of these models with respect to other kinds of models in health economics, especially in the evaluation of health technologies and product assessment.

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