Relationship between asymetric information and moral hazard in private hospital services

The aim of this study is to determine the relationship between asymmetric information and the moral hazard of people who make use of private hospitals. To this end, a questionnaire was given to Dumlupinar University academic staff and binary logistic regression analysis was performed in the study. Two models were created within the binary logistic regression analysis - one of which was used to determine the relationship between asymmetric information variables, demographic features and use of private hospitals. The second model was used first to determine the relationship between asymmetric information and moral hazard, then to determine the relationship between asymmetric information variables and demographic features with moral hazard. The results of the first model suggest that males prefer the use of private hospitals 0.392 times more than women. The elderly prefer the use of private hospitals 0.704 times more than youth. People with high incomes prefer the use of private hospitals 1.683 times more than the those with low incomes. Those who agreed with this statement prefer the use of private hospitals 1.804 times more than those who disagreed. The people who agreed with this statement prefer the use of private hospitals 1.927 times more than the ones who did not. Those who agreed with this prefer private hospitals 1.790 times more than those who did not. The results of the second model show that people who are knowledgeable about the services provided at private hospitals are 0.454 times less vulnerable to moral hazard than those who are not. Those who receive full information about their treatment from their doctor at a private hospital are exposed to moral hazard 0.437 times less than those who do not. Those who agreed with this statement are exposed to moral hazard 0.437 times less than those who did not. The people who know about these expenses are vulnerable to moral hazard 0.590 times less than those who do not. People who agreed with this statement are 6.164 times more vulnerable to moral hazard than those who did not. People who agreed with this statement are exposed to moral hazard 1.714 times more than those who did not. Key Words: Asymmetric Information, Moral Hazard, Private Hospital Services, Binary Logistic Regression Analysis