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Medical expenditure and its influencing factors of patients with hypertension in Shanxi Province, China: a study based on ‘System of Health Accounts 2011’ and multiple-layer perceptron neural network
OBJECTIVES: To study the medical expenditure and influencing factors of patients with hypertension in Shanxi Province, China. DESIGN: A cross-sectional study. SETTING: 1088 medical institutions, including general hospitals, traditional Chinese medicine hospitals, special hospitals, basic medical ins...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8895933/ https://www.ncbi.nlm.nih.gov/pubmed/35241463 http://dx.doi.org/10.1136/bmjopen-2020-048396 |
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author | Liu, Guojie Fang, Quan Ji, Xinyu OuYang, Jing Zhu, Yalan Wang, Leying Wang, Xin |
author_facet | Liu, Guojie Fang, Quan Ji, Xinyu OuYang, Jing Zhu, Yalan Wang, Leying Wang, Xin |
author_sort | Liu, Guojie |
collection | PubMed |
description | OBJECTIVES: To study the medical expenditure and influencing factors of patients with hypertension in Shanxi Province, China. DESIGN: A cross-sectional study. SETTING: 1088 medical institutions, including general hospitals, traditional Chinese medicine hospitals, special hospitals, basic medical institutions and public health institutions. PARTICIPANTS: 180 441 hypertensive outpatients and 14 763 inpatients from 1 January to 31 December 2017. PRIMARY AND SECONDARY OUTCOME MEASURES: Curative care expenditure for hypertension (CCE(ht)) was measured based on System of Health Accounts 2011. Influenced factors were analysed by univariate analysis and multiple layer perceptron neural network. RESULTS: In 2017, CCE(ht) was US$307.71 million, accounting for 3.63% of total CCE and 0.14% of gross domestic product (GDP) in Shanxi Province of China. CCE of hypertensive outpatients (CCE(ht-out)) and inpatients (CCE(ht-in)) accounted for 44.49% and 55.51% of CCE(ht). Drug fee accounted for 81.55% of CCE(ht-out) and 22.50% of CCE(ht-in), respectively. The top three influencing factors were drug fee, surgical fee and hospitalisation days for inpatients, and drug fee, examination fee and test fee for outpatients. CONCLUSIONS: The medical expenditure of hypertension is still heavy for individuals and society. The diagnosis and treatment capacities of primary healthcare system has been enhanced. New rural cooperation medical insurance and urban employee basic medical insurance have a trend of overusing, and the burden of family healthcare expenditure is still heavy. To ease the economic burden of patients with hypertension and improve the efficiency of social resources utilisation, policymakers should pay more attention to key groups, further increase support for primary healthcare system, standardise the treatment and reimbursement of hypertension and incline the reimbursement policy to outpatient service. |
format | Online Article Text |
id | pubmed-8895933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-88959332022-03-22 Medical expenditure and its influencing factors of patients with hypertension in Shanxi Province, China: a study based on ‘System of Health Accounts 2011’ and multiple-layer perceptron neural network Liu, Guojie Fang, Quan Ji, Xinyu OuYang, Jing Zhu, Yalan Wang, Leying Wang, Xin BMJ Open Health Economics OBJECTIVES: To study the medical expenditure and influencing factors of patients with hypertension in Shanxi Province, China. DESIGN: A cross-sectional study. SETTING: 1088 medical institutions, including general hospitals, traditional Chinese medicine hospitals, special hospitals, basic medical institutions and public health institutions. PARTICIPANTS: 180 441 hypertensive outpatients and 14 763 inpatients from 1 January to 31 December 2017. PRIMARY AND SECONDARY OUTCOME MEASURES: Curative care expenditure for hypertension (CCE(ht)) was measured based on System of Health Accounts 2011. Influenced factors were analysed by univariate analysis and multiple layer perceptron neural network. RESULTS: In 2017, CCE(ht) was US$307.71 million, accounting for 3.63% of total CCE and 0.14% of gross domestic product (GDP) in Shanxi Province of China. CCE of hypertensive outpatients (CCE(ht-out)) and inpatients (CCE(ht-in)) accounted for 44.49% and 55.51% of CCE(ht). Drug fee accounted for 81.55% of CCE(ht-out) and 22.50% of CCE(ht-in), respectively. The top three influencing factors were drug fee, surgical fee and hospitalisation days for inpatients, and drug fee, examination fee and test fee for outpatients. CONCLUSIONS: The medical expenditure of hypertension is still heavy for individuals and society. The diagnosis and treatment capacities of primary healthcare system has been enhanced. New rural cooperation medical insurance and urban employee basic medical insurance have a trend of overusing, and the burden of family healthcare expenditure is still heavy. To ease the economic burden of patients with hypertension and improve the efficiency of social resources utilisation, policymakers should pay more attention to key groups, further increase support for primary healthcare system, standardise the treatment and reimbursement of hypertension and incline the reimbursement policy to outpatient service. BMJ Publishing Group 2022-03-03 /pmc/articles/PMC8895933/ /pubmed/35241463 http://dx.doi.org/10.1136/bmjopen-2020-048396 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Health Economics Liu, Guojie Fang, Quan Ji, Xinyu OuYang, Jing Zhu, Yalan Wang, Leying Wang, Xin Medical expenditure and its influencing factors of patients with hypertension in Shanxi Province, China: a study based on ‘System of Health Accounts 2011’ and multiple-layer perceptron neural network |
title | Medical expenditure and its influencing factors of patients with hypertension in Shanxi Province, China: a study based on ‘System of Health Accounts 2011’ and multiple-layer perceptron neural network |
title_full | Medical expenditure and its influencing factors of patients with hypertension in Shanxi Province, China: a study based on ‘System of Health Accounts 2011’ and multiple-layer perceptron neural network |
title_fullStr | Medical expenditure and its influencing factors of patients with hypertension in Shanxi Province, China: a study based on ‘System of Health Accounts 2011’ and multiple-layer perceptron neural network |
title_full_unstemmed | Medical expenditure and its influencing factors of patients with hypertension in Shanxi Province, China: a study based on ‘System of Health Accounts 2011’ and multiple-layer perceptron neural network |
title_short | Medical expenditure and its influencing factors of patients with hypertension in Shanxi Province, China: a study based on ‘System of Health Accounts 2011’ and multiple-layer perceptron neural network |
title_sort | medical expenditure and its influencing factors of patients with hypertension in shanxi province, china: a study based on ‘system of health accounts 2011’ and multiple-layer perceptron neural network |
topic | Health Economics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8895933/ https://www.ncbi.nlm.nih.gov/pubmed/35241463 http://dx.doi.org/10.1136/bmjopen-2020-048396 |
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