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. 2021 May 11:9:616180.
doi: 10.3389/fpubh.2021.616180. eCollection 2021.

Research on Disability Grading Based on ICF Functional Framework: Empirical Evidence From Zhejiang Province, China

Huan Liu  1
Affiliations

Research on Disability Grading Based on ICF Functional Framework: Empirical Evidence From Zhejiang Province, China

Huan Liu. Front Public Health. .

Abstract

Through assignment method, the total score of disability in multiple dimensions is obtained, and it is divided into five functional states-severe disability, partial disability, moderate disability, mild disability, and health-according to the score, and the probability of death is constructed. Using the Chinese Longitudinal Healthy Longevity Survey (CLHLS) database tracking survey data, by constructing a multistate transition probability matrix, the empirical calculation of the multistate disability transfer probability, with the help of the sixth national census data, we estimated maintenance time of each state, life expectancy, etc. The results show that the 3 year transfer probability of the initial healthy elderly is the highest, and the mortality rate is also the lowest. It can be found that the disability state transition probability measurement based on the data is more accurate than the model estimation; the disability scale and life expectancy estimated based on the multistate transition probability matrix are more reliable.

Keywords: disability; grading; multi-dimensional; multi-state; transition probability.

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Conflict of interest statement

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Disability state transfer chain under different age samples.
Figure 2
Figure 2
Prediction of total disabled population in Zhejiang Province by age. Unit is 10,000 people.
Figure 3
Figure 3
Comparison of the state duration and expected remaining life trend under different age samples. Unit is year.
See this image and copyright information in PMC

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