Cargando…

Total Health Expenditure and Its Driving Factors in China: A Gray Theory Analysis

The continuous growth in total health expenditure (THE) has become a social issue of common concern in most countries. In China, the total health expenditure (THE) is maintaining a rapid growth trend that is higher than that of the economy, which has become increasingly obvious in the 21st century a...

Descripción completa

Detalles Bibliográficos
Autores principales: Jia, Huanhuan, Jiang, Hairui, Yu, Jianxing, Zhang, Jingru, Cao, Peng, Yu, Xihe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918561/
https://www.ncbi.nlm.nih.gov/pubmed/33673001
http://dx.doi.org/10.3390/healthcare9020207
_version_ 1783657951095947264
author Jia, Huanhuan
Jiang, Hairui
Yu, Jianxing
Zhang, Jingru
Cao, Peng
Yu, Xihe
author_facet Jia, Huanhuan
Jiang, Hairui
Yu, Jianxing
Zhang, Jingru
Cao, Peng
Yu, Xihe
author_sort Jia, Huanhuan
collection PubMed
description The continuous growth in total health expenditure (THE) has become a social issue of common concern in most countries. In China, the total health expenditure (THE) is maintaining a rapid growth trend that is higher than that of the economy, which has become increasingly obvious in the 21st century and has brought a heavy burden to the government and residents. To analyze the main driving factors of THE in China in the 21st century and establish a predictive model, gray system theory was employed to explore the correlation degree between THE and nine hot topics in the areas of the economy, population, health service utilization, and policy using national data from 2000 to 2018. Additionally, a New Structure of the Multivariate Gray Prediction Model of THE was established and compared with the traditional grey model and widely used BP neural network to evaluate the prediction effectiveness of the model. We concluded that the Chinese government and society have played a crucial role in reducing residents’ medical burden. Besides this, the improved economy and aging population have increased the demand for health services, leading to the continual increase in THE. Lastly, the improved NSGM(1,N) model achieved good prediction accuracy and has unique advantages in simulating and predicting THE, which can provide a basis for policy formulation.
format Online
Article
Text
id pubmed-7918561
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-79185612021-03-02 Total Health Expenditure and Its Driving Factors in China: A Gray Theory Analysis Jia, Huanhuan Jiang, Hairui Yu, Jianxing Zhang, Jingru Cao, Peng Yu, Xihe Healthcare (Basel) Article The continuous growth in total health expenditure (THE) has become a social issue of common concern in most countries. In China, the total health expenditure (THE) is maintaining a rapid growth trend that is higher than that of the economy, which has become increasingly obvious in the 21st century and has brought a heavy burden to the government and residents. To analyze the main driving factors of THE in China in the 21st century and establish a predictive model, gray system theory was employed to explore the correlation degree between THE and nine hot topics in the areas of the economy, population, health service utilization, and policy using national data from 2000 to 2018. Additionally, a New Structure of the Multivariate Gray Prediction Model of THE was established and compared with the traditional grey model and widely used BP neural network to evaluate the prediction effectiveness of the model. We concluded that the Chinese government and society have played a crucial role in reducing residents’ medical burden. Besides this, the improved economy and aging population have increased the demand for health services, leading to the continual increase in THE. Lastly, the improved NSGM(1,N) model achieved good prediction accuracy and has unique advantages in simulating and predicting THE, which can provide a basis for policy formulation. MDPI 2021-02-14 /pmc/articles/PMC7918561/ /pubmed/33673001 http://dx.doi.org/10.3390/healthcare9020207 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jia, Huanhuan
Jiang, Hairui
Yu, Jianxing
Zhang, Jingru
Cao, Peng
Yu, Xihe
Total Health Expenditure and Its Driving Factors in China: A Gray Theory Analysis
title Total Health Expenditure and Its Driving Factors in China: A Gray Theory Analysis
title_full Total Health Expenditure and Its Driving Factors in China: A Gray Theory Analysis
title_fullStr Total Health Expenditure and Its Driving Factors in China: A Gray Theory Analysis
title_full_unstemmed Total Health Expenditure and Its Driving Factors in China: A Gray Theory Analysis
title_short Total Health Expenditure and Its Driving Factors in China: A Gray Theory Analysis
title_sort total health expenditure and its driving factors in china: a gray theory analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918561/
https://www.ncbi.nlm.nih.gov/pubmed/33673001
http://dx.doi.org/10.3390/healthcare9020207
work_keys_str_mv AT jiahuanhuan totalhealthexpenditureanditsdrivingfactorsinchinaagraytheoryanalysis
AT jianghairui totalhealthexpenditureanditsdrivingfactorsinchinaagraytheoryanalysis
AT yujianxing totalhealthexpenditureanditsdrivingfactorsinchinaagraytheoryanalysis
AT zhangjingru totalhealthexpenditureanditsdrivingfactorsinchinaagraytheoryanalysis
AT caopeng totalhealthexpenditureanditsdrivingfactorsinchinaagraytheoryanalysis
AT yuxihe totalhealthexpenditureanditsdrivingfactorsinchinaagraytheoryanalysis