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Constructing an urban population model for medical insurance scheme using microsimulation techniques.

Xiong L, Zhang L, Tang W, Ma Y - Comput Math Methods Med (2012)

Bottom Line: The model made it clear for the policy makers the population distributions of different groups of people, the potential urban residents entering the medical insurance scheme.The income trends of units of individuals and families were also obtained.These factors are essential in making the challenging policy decisions when considering to balance the long-term financial sustainability of the medical insurance scheme.

View Article: PubMed Central - PubMed

Affiliation: Department of Health Services Management, Second Military Medical University, Shanghai 200433, China. xionglinping@yahoo.com.cn

ABSTRACT
China launched a pilot project of medical insurance reform in 79 cities in 2007 to cover urban nonworking residents. An urban population model was created in this paper for China's medical insurance scheme using microsimulation model techniques. The model made it clear for the policy makers the population distributions of different groups of people, the potential urban residents entering the medical insurance scheme. The income trends of units of individuals and families were also obtained. These factors are essential in making the challenging policy decisions when considering to balance the long-term financial sustainability of the medical insurance scheme.

Show MeSH
Update the 2000 census data to 2005 and target years.
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC3303605&req=5

fig1: Update the 2000 census data to 2005 and target years.

Mentions: This section discusses the Population module. In the Population module, the 0.095 per cent sample of the population records in the 2000 Census for Kunming is enlarged (or cloned) to represent about 10 per cent of the total population in 2000. Doing so is to increase the heterogeneity in the final matched dataset, as instead of one person aged 70 having a weight of 10, there will be 10 persons aged 70, each with a weight of 1, and each with a potentially different insurance cover status. Then, using the information compiled from the 1 per cent population survey conducted in 2005, the individual records in the 2000 population sample are reweighted and the population is updated to the year 2005, as Figure 1 shows. The method of the generalised regression estimator reweighting [22] is used to update the population records.


Constructing an urban population model for medical insurance scheme using microsimulation techniques.

Xiong L, Zhang L, Tang W, Ma Y - Comput Math Methods Med (2012)

Update the 2000 census data to 2005 and target years.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3303605&req=5

fig1: Update the 2000 census data to 2005 and target years.
Mentions: This section discusses the Population module. In the Population module, the 0.095 per cent sample of the population records in the 2000 Census for Kunming is enlarged (or cloned) to represent about 10 per cent of the total population in 2000. Doing so is to increase the heterogeneity in the final matched dataset, as instead of one person aged 70 having a weight of 10, there will be 10 persons aged 70, each with a weight of 1, and each with a potentially different insurance cover status. Then, using the information compiled from the 1 per cent population survey conducted in 2005, the individual records in the 2000 population sample are reweighted and the population is updated to the year 2005, as Figure 1 shows. The method of the generalised regression estimator reweighting [22] is used to update the population records.

Bottom Line: The model made it clear for the policy makers the population distributions of different groups of people, the potential urban residents entering the medical insurance scheme.The income trends of units of individuals and families were also obtained.These factors are essential in making the challenging policy decisions when considering to balance the long-term financial sustainability of the medical insurance scheme.

View Article: PubMed Central - PubMed

Affiliation: Department of Health Services Management, Second Military Medical University, Shanghai 200433, China. xionglinping@yahoo.com.cn

ABSTRACT
China launched a pilot project of medical insurance reform in 79 cities in 2007 to cover urban nonworking residents. An urban population model was created in this paper for China's medical insurance scheme using microsimulation model techniques. The model made it clear for the policy makers the population distributions of different groups of people, the potential urban residents entering the medical insurance scheme. The income trends of units of individuals and families were also obtained. These factors are essential in making the challenging policy decisions when considering to balance the long-term financial sustainability of the medical insurance scheme.

Show MeSH