Using data from the National Hospital Discharge Survey, this paper analyzes the effect of Medicaid eligibility expansions from 1985 to 1996 on the health insurance coverage of women giving birth. We find that the eligibility expansions reduced the proportion of pregnant women who were uninsured by approximately 10%, although the magnitude of this decrease is sensitive to specification. The decrease in the proportion of uninsured pregnant women came at the expense of a substantial reduction in private insurance coverage (crowd-out) of (...) at least 55%. Substantial crowd-out and the relatively small change in the proportion uninsured suggest that Medicaid eligibility expansions may have had small effects on infant and maternal health. (shrink)

Human-Computer Interaction and games set a new domain in understanding people’s motivations in gaming, behavioral implications of game play, game adaptation to player preferences and needs for increased engaging experiences in the context of HCI serious games. When the latter relate with people’s health status, they can become a part of their daily life as assistive health status monitoring/enhancement systems. Co-designing HCI-SGs can be seen as a combination of art and science that involves a meticulous collaborative process. The design elements (...) in assistive HCI-SGs for Parkinson’s Disease patients, in particular, are explored in the present work. Within this context, the Game-Based Learning design framework is adopted here and its main game-design parameters are explored for the Exergames, Dietarygames, Emotional games, Handwriting games, and Voice games design, drawn from the PD-related i-PROGNOSIS Personalized Game Suite holistic approach. Two main data sources were involved in the study. In particular, the first one includes qualitative data from semi-structured interviews, involving 10 PD patients and four clinicians in the co-creation process of the game design, whereas the second one relates with data from an online questionnaire addressed by 104 participants spanning the whole related spectrum, i.e., PD patients, physicians, software/game developers. Linear regression analysis was employed to identify an adapted GBL framework with the most significant game-design parameters, which efficiently predict the transferability of the PGS beneficial effect to real-life, addressing functional PD symptoms. The findings of this work can assist HCI-SG designers for designing PD-related HCI-SGs, as the most significant game-design factors were identified, in terms of adding value to the role of HCI-SGs in increasing PD patients’ quality of life, optimizing the interaction with personalized HCI-SGs and, hence, fostering a collaborative human-computer symbiosis. (shrink)