title: Age or health status: which influences medical insurance enrollment greater?
abstract: BACKGROUND
  The New Cooperative Medical Scheme (NCMS) for peasantries implemented in 2003 and the Urban Resident Basic Medical Insurance (URBMI) for the urban unemployed implemented in 2007 have many similarities. They both apply the financing mode of individual premiums plus government's subsidies, and the voluntary enrollment. The Chinese government plans to integrate these two systems and build a unified basic medical insurance system for the unemployed in order to achieve the medical equity and increase the general health level. Thus, to analyze the main influencing factors of the enrollment of the urban unemployed and rural residents is very important for improving the system and securing the stability of the system during the transition.
  
  
  METHODS
  The study uses data from the China Health and Nutrition Survey (CHNS) and adopts logistic regression models to test which factors influence the enrollment of the URBMI and the NCMS under the background of rather high enrollment rate of Chinese basic medical insurances and strong fiscal support of the Chinese government, especially whether health status or age influences enrollment of these two insurances greater.
  
  
  RESULTS
  There is indeed some adverse selection in the URBMI and the NCMS. Whether the individual has chronic diseases have significant influence on enrollments of both the urban unemployed and rural residents, while whether the individual got ill in last four weeks just influences enrollments of the urban unemployed. Age influences enrollment greater than health status. The older the insured are, the larger the enrollment rates are.
  
  
  CONCLUSIONS
  Because of the active support for basic medical insurances of the Chinese government, the enrollment performance of the urban unemployed and rural residents has already changed. When implementing the new policy, the government should pay attention to the willingness to enroll in and the change of enrollment performance of the insured. Therefore, under the policy of voluntary enrollment, every coordinated province and city should enlarge the proportion of young people to insuring group, optimizing the age structure, and the financing proportion of governments and individuals should be measured properly. With the increasing of governments' subsidies, the proportion of individual's premiums should also be increased.
authors.affiliation: School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Xu
authors.affiliation: School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
authors.forename: Gong-Jie
authors.initials: GJ
authors.lastname: Cai
authors.affiliation: School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
authors.forename: Guan-Nan
authors.initials: GN
authors.lastname: Li
authors.affiliation: Institute of Chinese Medical Science, University of Macau, Macau, China.
authors.forename: Jing-Jing
authors.initials: JJ
authors.lastname: Cao
authors.affiliation: School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
authors.forename: Qiong-Hua
authors.initials: QH
authors.lastname: Shi
authors.affiliation: School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
authors.forename: Jie
authors.initials: J
authors.lastname: Bai
mesh_terms: D000375:Aging / Q000502:physiology*; D002681:China; D005260:Female; D005380:Financing, Government; D006304:Health Status; D006801:Humans; D019458:Insurance Coverage / Q000706:statistics & numerical data*; D016015:Logistic Models; D017057:Medically Uninsured / Q000706:statistics & numerical data*; D012424:Rural Population; D014505:Urban Population