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Treatment of coronavirus disease 2019 in Shandong, China: a cost and affordability analysis

BACKGROUND: Coronavirus disease 2019 (COVID-19) is now a global public threat. Given the pandemic of COVID-19, the economic impact of COVID-19 is essential to add value to the policy-making process. We retrospectively conducted a cost and affordability analysis to determine the medical costs of COVI...

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Autores principales: Li, Xue-Zheng, Jin, Feng, Zhang, Jian-Guo, Deng, Yun-Feng, Shu, Wei, Qin, Jing-Min, Ma, Xin, Pang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322714/
https://www.ncbi.nlm.nih.gov/pubmed/32600426
http://dx.doi.org/10.1186/s40249-020-00689-0
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author Li, Xue-Zheng
Jin, Feng
Zhang, Jian-Guo
Deng, Yun-Feng
Shu, Wei
Qin, Jing-Min
Ma, Xin
Pang, Yu
author_facet Li, Xue-Zheng
Jin, Feng
Zhang, Jian-Guo
Deng, Yun-Feng
Shu, Wei
Qin, Jing-Min
Ma, Xin
Pang, Yu
author_sort Li, Xue-Zheng
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) is now a global public threat. Given the pandemic of COVID-19, the economic impact of COVID-19 is essential to add value to the policy-making process. We retrospectively conducted a cost and affordability analysis to determine the medical costs of COVID-19 patients in China, and also assess the factors affecting their costs. METHODS: This analysis was retrospectively conducted in Shandong Provincial Chest Hospital between 24 January and 16 March 2020. The total direct medical expenditures were analyzed by cost factors. We also assessed affordability by comparing the simulated out-of-pocket expenditure of COVID-19 cases relative to the per capita disposable income. Differences between groups were tested by student t test and Mann-Whitney test when appropriate. A multiple logistic regression model was built to determine the risk factors associated with high cost. RESULTS: A total of 70 COVID-19 patients were included in the analysis. The overall mean cost was USD 6827 per treated episode. The highest mean cost was observed in drug acquisition, accounting for 45.1% of the overall cost. Total mean cost was significantly higher in patients with pre-existing diseases compared to those without pre-existing diseases. Pre-existing diseases and the advanced disease severity were strongly associated with higher cost. Around USD 0.49 billion were expected for clinical manage of COVID-19 in China. Among rural households, the proportions of health insurance coverage should be increased to 70% for severe cases, and 80% for critically ill cases to avoid catastrophic health expenditure. CONCLUSIONS: Our data demonstrate that clinical management of COVID-19 patients incurs a great financial burden to national health insurance. The cost for drug acquisition is the major contributor to the medical cost, whereas the risk factors for higher cost are pre-existing diseases and severity of COVID-19. Improvement of insurance coverage will need to address the barriers of rural patients to avoid the occurrence of catastrophic health expenditure.
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spelling pubmed-73227142020-06-29 Treatment of coronavirus disease 2019 in Shandong, China: a cost and affordability analysis Li, Xue-Zheng Jin, Feng Zhang, Jian-Guo Deng, Yun-Feng Shu, Wei Qin, Jing-Min Ma, Xin Pang, Yu Infect Dis Poverty Research Article BACKGROUND: Coronavirus disease 2019 (COVID-19) is now a global public threat. Given the pandemic of COVID-19, the economic impact of COVID-19 is essential to add value to the policy-making process. We retrospectively conducted a cost and affordability analysis to determine the medical costs of COVID-19 patients in China, and also assess the factors affecting their costs. METHODS: This analysis was retrospectively conducted in Shandong Provincial Chest Hospital between 24 January and 16 March 2020. The total direct medical expenditures were analyzed by cost factors. We also assessed affordability by comparing the simulated out-of-pocket expenditure of COVID-19 cases relative to the per capita disposable income. Differences between groups were tested by student t test and Mann-Whitney test when appropriate. A multiple logistic regression model was built to determine the risk factors associated with high cost. RESULTS: A total of 70 COVID-19 patients were included in the analysis. The overall mean cost was USD 6827 per treated episode. The highest mean cost was observed in drug acquisition, accounting for 45.1% of the overall cost. Total mean cost was significantly higher in patients with pre-existing diseases compared to those without pre-existing diseases. Pre-existing diseases and the advanced disease severity were strongly associated with higher cost. Around USD 0.49 billion were expected for clinical manage of COVID-19 in China. Among rural households, the proportions of health insurance coverage should be increased to 70% for severe cases, and 80% for critically ill cases to avoid catastrophic health expenditure. CONCLUSIONS: Our data demonstrate that clinical management of COVID-19 patients incurs a great financial burden to national health insurance. The cost for drug acquisition is the major contributor to the medical cost, whereas the risk factors for higher cost are pre-existing diseases and severity of COVID-19. Improvement of insurance coverage will need to address the barriers of rural patients to avoid the occurrence of catastrophic health expenditure. BioMed Central 2020-06-29 /pmc/articles/PMC7322714/ /pubmed/32600426 http://dx.doi.org/10.1186/s40249-020-00689-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Li, Xue-Zheng
Jin, Feng
Zhang, Jian-Guo
Deng, Yun-Feng
Shu, Wei
Qin, Jing-Min
Ma, Xin
Pang, Yu
Treatment of coronavirus disease 2019 in Shandong, China: a cost and affordability analysis
title Treatment of coronavirus disease 2019 in Shandong, China: a cost and affordability analysis
title_full Treatment of coronavirus disease 2019 in Shandong, China: a cost and affordability analysis
title_fullStr Treatment of coronavirus disease 2019 in Shandong, China: a cost and affordability analysis
title_full_unstemmed Treatment of coronavirus disease 2019 in Shandong, China: a cost and affordability analysis
title_short Treatment of coronavirus disease 2019 in Shandong, China: a cost and affordability analysis
title_sort treatment of coronavirus disease 2019 in shandong, china: a cost and affordability analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322714/
https://www.ncbi.nlm.nih.gov/pubmed/32600426
http://dx.doi.org/10.1186/s40249-020-00689-0
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