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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
Trends of age groups over the period of 2000–2010. (a) indicates the numbers of the various age groups of population; (b) indicates the percentage of each age group.
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Related In: Results  -  Collection


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fig4: Trends of age groups over the period of 2000–2010. (a) indicates the numbers of the various age groups of population; (b) indicates the percentage of each age group.

Mentions: Figure 4 presents the trends of the eight age groups over the period of 2000–2010, in which the left side highlights the numbers of the various age group populations and the right side the percentage of each age group. The information for the year 2000 is the summed results from the individual sample records of the 2000 population census, while the information in 2005 is summarised from the 2005 population survey [20]. For the other years, the information was estimated as described in the above sections. From the perspective of both population and percentage, the age groups of 0–4 years (square dot line) and 5–14 years (triangle dot line) show significant downwards trends. The proportion of age groups of 15–24 years and 25–34 years show a slight downward trend, whereas the proportion of people aged over 55 years, especially aged over 65 years (diamond dot line), grows rapidly, indicating that Kunming population is ageing as elsewhere in China.


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)

Trends of age groups over the period of 2000–2010. (a) indicates the numbers of the various age groups of population; (b) indicates the percentage of each age group.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig4: Trends of age groups over the period of 2000–2010. (a) indicates the numbers of the various age groups of population; (b) indicates the percentage of each age group.
Mentions: Figure 4 presents the trends of the eight age groups over the period of 2000–2010, in which the left side highlights the numbers of the various age group populations and the right side the percentage of each age group. The information for the year 2000 is the summed results from the individual sample records of the 2000 population census, while the information in 2005 is summarised from the 2005 population survey [20]. For the other years, the information was estimated as described in the above sections. From the perspective of both population and percentage, the age groups of 0–4 years (square dot line) and 5–14 years (triangle dot line) show significant downwards trends. The proportion of age groups of 15–24 years and 25–34 years show a slight downward trend, whereas the proportion of people aged over 55 years, especially aged over 65 years (diamond dot line), grows rapidly, indicating that Kunming population is ageing as elsewhere in China.

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