Explaining Children’s Life Outcomes: Parental Socioeconomic Status,Intelligence and Neurocognitive Factors in a Dynamic Life Cycle Model

The goal of the present paper is to introduce a dynamic life cycle model that explains the reproduction of wealth and health over generations by introducing knowledge from cognitive neuroscience into the existing knowledge from the socioeconomic literature. The socioeconomic literature successfully identified the major role of socioeconomic status of parents, both as a direct and indirect effect, in the shaping and intergenerational reproduction of wealth and health. Furthermore, the importance of cognitive abilities as actor in this process has been widely studied in socioeconomic literature. A third factor that has been identified by the socioeconomic discipline is the so-called non-cognitive capabilities. This category, however, lacks a clear definition and seems to be a catchall for a collection of factors. Within the repository of these non-cognitive capabilities the construct of executive functions is an interesting and important contribution from cognitive neuroscience. The multidimensional construct of executive functioning or cognitive control (i.e. planning and formulation of objectives) and monitoring processes (i.e. influences the execution of these goals) is a valuable addition to a framework on reproduction of wealth and health over generations, because executive functions are sensitive to training. Merging insights of the socioeconomic literature and cognitive neuroscience in a life cycle model opens the opportunity of educational initiatives with regard to executive functions to break the intergenerational reproduction of poverty and deprivation.     

Does training learners on simulators benefit real patients?

Despite limited data on patient outcomes, simulation training has already been adopted and embraced by a large number of medical schools. Yet widespread acceptance of simulation should not relieve us of the duty to demonstrate if, and under which circumstances, training learners on simulation benefits real patients. Here we review the data on performance of healthcare providers or trainees following simulation training, and discuss ways of enhancing transfer of learning from simulated to real patients. While there is tremendous potential for simulation in medical education and healthcare, further studies are needed to identify if and when simulation training improves the quality of care delivered to patients, and to compare the cost-effectiveness of simulated learning experiences to lower fidelity and less expensive interventions.