Japan is undergoing a set of health care reforms aimed at cutting rising health care costs and increasing the efficiency of health care delivery. This empirical study used a large-scale community survey on 15,302 elderly people 65 years and older (56.0% women) conducted in seven municipalities in 2006, to reveal clear-cut evidence of barriers to necessary care. The reasons for not getting health care is attributed to health care cost for the elderly with lower income, while higher income counterparts reported being busy or having a condition not serious enough to seek care.

The purpose of this study is to investigate healthcare access disparity that will cause delayed and unmet healthcare needs for the elderly, and to examine health inequality and healthcare cost burden for the elderly. To produce clear policy applications, this study adapts a modified PRECEDE-PROCEED model for framing theoretical and experimental approaches. Data were collected from a large collection of the Community Tracking Study Household Survey 2003–2004 of the USA. Reliability and construct validity are examined for internal consistency and estimation of disparity and inequality are analyzed by using probit/ols regressions. The results show that predisposing factors (e.g., attitude, beliefs, and perception by socio-demographic differences) are negatively associated with delayed healthcare. A 10% increase in enabling factors (e.g., availability of health insurance coverage, and usual sources of healthcare providers) are significantly associated with a 1% increase in healthcare financing factors. In addition, information through a socio-economic network and support system has a 5% impact on an access disparity. Income, health status, and health inequality are exogenously determined. Designing and implementing easy healthcare accessibility (healthcare system) and healthcare financing methods, and developing a socio-economic support network (including public health information) are essential in reducing delayed healthcare and health inequality.

Health information, provided through the Internet, has recently received attention from consumers and healthcare providers as an efficient method of motivating people to get screened for colorectal cancer (CRC). In this study, the primary purpose was to investigate the extent to which consumers were better educated about CRC screening information because of the information available on the Internet. Another purpose was to identify how better-informed consumers, with reliable and trustworthy health information, were enabled to make sound decisions regarding CRC screening. The data used in this study was taken from the 2003 Health Information National Trends Survey. People aged 55 and older were classified based on their compliance with recommended CRC screening. The study applied the PRECEDE-PROCEED model to evaluate the effects of health information taken from the Internet regarding CRC screening. The credibility and reliance of cancer related information on the Internet was significantly associated with patient compliance to be screened for CRC. Experience and knowledge of Internet use had a significant impact on the utilization of CRC screening. This analysis suggests that the design and publishing websites concerning CRC should emphasize credibility and reliance. Websites providing information about CRC must also contain the most current information so that people are able to make educated decisions about CRC screening.

This paper examines the effectiveness of Taiwanese environmental health policies, whose aim is to improve environmental quality by reducing tire waste via the Tire Resource Recovery Program. The results confirm that implemented environmental health policies improve the overall health of the population (i.e. a decrease in death caused by bronchitis and other respiratory diseases). Current policy expenditures are far below the optimal level, as it is estimated that a ten percent increase in the subsidy would decrease the number of deaths caused by bronchitis and other respiratory diseases by 0.58% per county/city per year on average.

Changing Healthcare Policies: Implications for Income, Education, and Health Disparity