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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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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. |
format | Online Article Text |
id | pubmed-8144326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT liuhuan researchondisabilitygradingbasedonicffunctionalframeworkempiricalevidencefromzhejiangprovincechina |