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

Frontiers in Public Health

Huan Liu¹ 

[1] null;

关键词: disability;    multi-state;    grading;    multi-dimensional;    transition probability;   

DOI  :  10.3389/fpubh.2021.616180

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

CC BY