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Costs of traditional Chinese medicine treatment for inpatients with lung cancer in China: a national study

BACKGROUND: Traditional Chinese Medicine (TCM) has long been a widely recognized medical approach and has been covered by China’s basic medical insurance schemes to treat lung cancer. But there was a lack of nationwide research to illustrate the impact of the use of TCM on lung cancer patients’ econ...

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Autores principales: Nie, Hanlin, Han, Zhaoran, Nicholas, Stephen, Maitland, Elizabeth, Huang, Zhengwei, Chen, Sisi, Tuo, Zegui, Ma, Yong, Shi, Xuefeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827714/
https://www.ncbi.nlm.nih.gov/pubmed/36624405
http://dx.doi.org/10.1186/s12906-022-03819-3
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author Nie, Hanlin
Han, Zhaoran
Nicholas, Stephen
Maitland, Elizabeth
Huang, Zhengwei
Chen, Sisi
Tuo, Zegui
Ma, Yong
Shi, Xuefeng
author_facet Nie, Hanlin
Han, Zhaoran
Nicholas, Stephen
Maitland, Elizabeth
Huang, Zhengwei
Chen, Sisi
Tuo, Zegui
Ma, Yong
Shi, Xuefeng
author_sort Nie, Hanlin
collection PubMed
description BACKGROUND: Traditional Chinese Medicine (TCM) has long been a widely recognized medical approach and has been covered by China’s basic medical insurance schemes to treat lung cancer. But there was a lack of nationwide research to illustrate the impact of the use of TCM on lung cancer patients’ economic burden in mainland China. Therefore, we conduct a nationwide study to reveal whether the use of TCM could increase or decrease the medical expenditure of lung cancer inpatients in mainland China. METHODS: This is a 7-year cross-sectional study from 2010 to 2016. The data is a random sample of 5% from lung cancer claims data records of Chinese Urban Employee Basic Medical Insurance (UEBMI) and Urban Resident Basic Medical Insurance (URBMI). Mann-Whitney test was used to compare inpatient cost data with positive skewness. Ordinary least squares regression analysis was performed to compare the total TCM users’ hospitalization cost with TCM nonusers’, to examine whether TCM use is the key factor inducing relatively high medical expenditure. RESULT: A total of 47,393 lung cancer inpatients were included in this study, with 38,697 (81.7%) of them at least using one kind of TCM approach. The per inpatient medical cost of TCM users was RMB18,798 (USD2,830), which was 65.2% significantly higher than that of TCM nonusers (P < 0.001). The medication cost, conventional medication cost, and nonpharmacy cost of TCM users were all higher than TCM nonusers, illustrating the higher medical cost of TCM users was not induced by TCM only. With confounding factors fixed, there was a positive correlation between TCM cost and conventional medication cost, nonpharmacy cost (Coef. = 0.283 and 0.211, all P < 0.001), indicting synchronous increase of TCM costs and conventional medication cost for TCM users. CONCLUSION: The use of TCM could not offset the utilization of conventional medicine, demonstrating TCM mainly played a complementary role but not an alternative role in the inpatient treatment of lung cancer. A joint Clinical Guideline that could balance the use of TCM and Conventional medicine should be developed for the purpose of reducing economic burden for lung cancer inpatients.
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spelling pubmed-98277142023-01-10 Costs of traditional Chinese medicine treatment for inpatients with lung cancer in China: a national study Nie, Hanlin Han, Zhaoran Nicholas, Stephen Maitland, Elizabeth Huang, Zhengwei Chen, Sisi Tuo, Zegui Ma, Yong Shi, Xuefeng BMC Complement Med Ther Research BACKGROUND: Traditional Chinese Medicine (TCM) has long been a widely recognized medical approach and has been covered by China’s basic medical insurance schemes to treat lung cancer. But there was a lack of nationwide research to illustrate the impact of the use of TCM on lung cancer patients’ economic burden in mainland China. Therefore, we conduct a nationwide study to reveal whether the use of TCM could increase or decrease the medical expenditure of lung cancer inpatients in mainland China. METHODS: This is a 7-year cross-sectional study from 2010 to 2016. The data is a random sample of 5% from lung cancer claims data records of Chinese Urban Employee Basic Medical Insurance (UEBMI) and Urban Resident Basic Medical Insurance (URBMI). Mann-Whitney test was used to compare inpatient cost data with positive skewness. Ordinary least squares regression analysis was performed to compare the total TCM users’ hospitalization cost with TCM nonusers’, to examine whether TCM use is the key factor inducing relatively high medical expenditure. RESULT: A total of 47,393 lung cancer inpatients were included in this study, with 38,697 (81.7%) of them at least using one kind of TCM approach. The per inpatient medical cost of TCM users was RMB18,798 (USD2,830), which was 65.2% significantly higher than that of TCM nonusers (P < 0.001). The medication cost, conventional medication cost, and nonpharmacy cost of TCM users were all higher than TCM nonusers, illustrating the higher medical cost of TCM users was not induced by TCM only. With confounding factors fixed, there was a positive correlation between TCM cost and conventional medication cost, nonpharmacy cost (Coef. = 0.283 and 0.211, all P < 0.001), indicting synchronous increase of TCM costs and conventional medication cost for TCM users. CONCLUSION: The use of TCM could not offset the utilization of conventional medicine, demonstrating TCM mainly played a complementary role but not an alternative role in the inpatient treatment of lung cancer. A joint Clinical Guideline that could balance the use of TCM and Conventional medicine should be developed for the purpose of reducing economic burden for lung cancer inpatients. BioMed Central 2023-01-09 /pmc/articles/PMC9827714/ /pubmed/36624405 http://dx.doi.org/10.1186/s12906-022-03819-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Nie, Hanlin
Han, Zhaoran
Nicholas, Stephen
Maitland, Elizabeth
Huang, Zhengwei
Chen, Sisi
Tuo, Zegui
Ma, Yong
Shi, Xuefeng
Costs of traditional Chinese medicine treatment for inpatients with lung cancer in China: a national study
title Costs of traditional Chinese medicine treatment for inpatients with lung cancer in China: a national study
title_full Costs of traditional Chinese medicine treatment for inpatients with lung cancer in China: a national study
title_fullStr Costs of traditional Chinese medicine treatment for inpatients with lung cancer in China: a national study
title_full_unstemmed Costs of traditional Chinese medicine treatment for inpatients with lung cancer in China: a national study
title_short Costs of traditional Chinese medicine treatment for inpatients with lung cancer in China: a national study
title_sort costs of traditional chinese medicine treatment for inpatients with lung cancer in china: a national study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827714/
https://www.ncbi.nlm.nih.gov/pubmed/36624405
http://dx.doi.org/10.1186/s12906-022-03819-3
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