Abstract
Reducing heath care costs is an important issue in Japan. The aim of this study was to analyze the contribution of oral health to health care costs and to predict health care costs by statistical modeling. Data from 46 individuals (29 men and 17 women; mean age of 44.6 ± 1.7 years) on health care costs, dental health care costs, and the results of the salivary levels of lactate dehydrogenase (LD) over two years were provided by the association. Multilayer perceptron neural networks were applied to predict the health care costs from data from the previous year and included health care costs, dental health care costs, and salivary levels of LD. Nonlinear relationships were observed between medical health care costs, dental health care costs, and periodontal conditions. The health care costs from the previous year were the most important predictor of health care costs. The simulation results showed that health care costs decreased with the increase in dental health care costs from the previous year. Health care costs increased with increasing salivary levels of LD from the previous year. Improvements in periodontal conditions and dental health care may play some roles in reducing health care costs.
Highlights
High health care costs are a major problem in Japan
The outcomes of dental treatment are patients’ subjective evaluation of symptoms, pain, chewing ability, comfort, and aesthetics based on the quality of life evaluation [17,18]
Even today, there is little information on this analysis evaluated by health care costs
Summary
High health care costs are a major problem in Japan. National medical expenditure in 2016 was 382 billion USD (42 trillion yen), 300 USD (33,000 yen) per capita, and 7.81% of Gross DomesticProduct [1]. High health care costs are a major problem in Japan. National medical expenditure in 2016 was 382 billion USD (42 trillion yen), 300 USD (33,000 yen) per capita, and 7.81% of Gross Domestic. The population of Japan is rapidly aging, which is increasing health care costs. We have a national insurance system covering almost all the treatments for injuries and diseases. The provision of funds for this national insurance system is supported in part by public expense. Oral health status may contribute to overall health conditions through nutritional status and dental bacteremia. Some reports have shown that subjects with many teeth are expected to live longer than subjects with few or no teeth, mainly through adequate nutritional status [2,3,4]
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