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

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. Usin...

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Detalles Bibliográficos
Autor principal: Liu, Huan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144326/
https://www.ncbi.nlm.nih.gov/pubmed/34046386
http://dx.doi.org/10.3389/fpubh.2021.616180
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author Liu, Huan
author_facet Liu, Huan
author_sort Liu, Huan
collection PubMed
description 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.
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spelling pubmed-81443262021-05-26 Research on Disability Grading Based on ICF Functional Framework: Empirical Evidence From Zhejiang Province, China Liu, Huan Front Public Health Public Health 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. Frontiers Media S.A. 2021-05-11 /pmc/articles/PMC8144326/ /pubmed/34046386 http://dx.doi.org/10.3389/fpubh.2021.616180 Text en Copyright © 2021 Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Liu, Huan
Research on Disability Grading Based on ICF Functional Framework: Empirical Evidence From Zhejiang Province, China
title Research on Disability Grading Based on ICF Functional Framework: Empirical Evidence From Zhejiang Province, China
title_full Research on Disability Grading Based on ICF Functional Framework: Empirical Evidence From Zhejiang Province, China
title_fullStr Research on Disability Grading Based on ICF Functional Framework: Empirical Evidence From Zhejiang Province, China
title_full_unstemmed Research on Disability Grading Based on ICF Functional Framework: Empirical Evidence From Zhejiang Province, China
title_short Research on Disability Grading Based on ICF Functional Framework: Empirical Evidence From Zhejiang Province, China
title_sort research on disability grading based on icf functional framework: empirical evidence from zhejiang province, china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144326/
https://www.ncbi.nlm.nih.gov/pubmed/34046386
http://dx.doi.org/10.3389/fpubh.2021.616180
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