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Impact of China’s zero mark-up drug policy on drug cost of NCDs’ outpatients: an interrupted time series analysis

BACKGROUND: China proposed the Zero Markup Drug Policy (ZMDP), which popularized in tertiary hospitals across the country in 2017, to control drug expenditures’ rapid growth further and reduce the public’s medical burden. This study aims to evaluate the impact of ZMDP on the drug cost of chronic dis...

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Autores principales: Du, Jielin, Xie, Jiajia, Qian, Yan, Wu, Mingyue, Huang, Wenjing, Yin, Jin, Peng, Xin, Deng, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086109/
https://www.ncbi.nlm.nih.gov/pubmed/33926444
http://dx.doi.org/10.1186/s12913-021-06414-3
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author Du, Jielin
Xie, Jiajia
Qian, Yan
Wu, Mingyue
Huang, Wenjing
Yin, Jin
Peng, Xin
Deng, Dan
author_facet Du, Jielin
Xie, Jiajia
Qian, Yan
Wu, Mingyue
Huang, Wenjing
Yin, Jin
Peng, Xin
Deng, Dan
author_sort Du, Jielin
collection PubMed
description BACKGROUND: China proposed the Zero Markup Drug Policy (ZMDP), which popularized in tertiary hospitals across the country in 2017, to control drug expenditures’ rapid growth further and reduce the public’s medical burden. This study aims to evaluate the impact of ZMDP on the drug cost of chronic disease outpatients in the tertiary hospital in Chongqing. METHODS: We collected and described the drug-cost data for outpatients with chronic diseases in a Chongqing’s tertiary hospital from 2015 to 2019. The instantaneous and long-term changes of the outpatient volume and average drug cost after the ZMDP were evaluated using interrupted time series (ITS). We also analyzed the policy’s impact under the stratification of gender, age, and basic medical insurance types. RESULTS: A total of 350,848 outpatients were collected from January 2015 to February 2019. After the ZMDP, the outpatient volume for diabetes, hypertension, and coronary heart disease (CHD) all showed a downward trend, with a decrease of 53.04 (P = 0.012), 142.19 (P < 0.01) and 12.16 (P < 0.001) per month. Simultaneously, the average drug cost decreased by 4.44 yuan (P = 0.029), 5.87 yuan (P < 0.001) and 10.23 yuan (P = 0.036) per month, respectively. By gender, the average drug cost of diabetes in males had the most considerable instantaneous change, reducing by 51.21 yuan (P = 0.017); the decline of CHD in women is the most obvious, with an average monthly decrease of 12.51 yuan (P < 0.001). By age, the instantaneous change of CHD was the greatest for those older than 65 years old, with a decrease of 102.61 yuan (P = 0.030). CHD in 46–65 years old showed the most significant reduction, with an average monthly decline of 11.70 yuan (P < 0.01). BMIUE’s hypertension had the most considerable instantaneous change, which decreased 59.63 yuan (P = 0.010). BMIUE’s CHD showed the most apparent downward trend, with an average monthly decrease of 10.02 yuan (P = 0.010). CONCLUSION: The ITS analysis is an effective method of health policy evaluation. The implementation of the ZMDP can reduce the drug cost for chronic disease outpatients in the tertiary hospital and their economic burden. Follow-up policies still require targeted price adjustments in the health service system to adjust the drug cost-effectively.
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spelling pubmed-80861092021-04-30 Impact of China’s zero mark-up drug policy on drug cost of NCDs’ outpatients: an interrupted time series analysis Du, Jielin Xie, Jiajia Qian, Yan Wu, Mingyue Huang, Wenjing Yin, Jin Peng, Xin Deng, Dan BMC Health Serv Res Research Article BACKGROUND: China proposed the Zero Markup Drug Policy (ZMDP), which popularized in tertiary hospitals across the country in 2017, to control drug expenditures’ rapid growth further and reduce the public’s medical burden. This study aims to evaluate the impact of ZMDP on the drug cost of chronic disease outpatients in the tertiary hospital in Chongqing. METHODS: We collected and described the drug-cost data for outpatients with chronic diseases in a Chongqing’s tertiary hospital from 2015 to 2019. The instantaneous and long-term changes of the outpatient volume and average drug cost after the ZMDP were evaluated using interrupted time series (ITS). We also analyzed the policy’s impact under the stratification of gender, age, and basic medical insurance types. RESULTS: A total of 350,848 outpatients were collected from January 2015 to February 2019. After the ZMDP, the outpatient volume for diabetes, hypertension, and coronary heart disease (CHD) all showed a downward trend, with a decrease of 53.04 (P = 0.012), 142.19 (P < 0.01) and 12.16 (P < 0.001) per month. Simultaneously, the average drug cost decreased by 4.44 yuan (P = 0.029), 5.87 yuan (P < 0.001) and 10.23 yuan (P = 0.036) per month, respectively. By gender, the average drug cost of diabetes in males had the most considerable instantaneous change, reducing by 51.21 yuan (P = 0.017); the decline of CHD in women is the most obvious, with an average monthly decrease of 12.51 yuan (P < 0.001). By age, the instantaneous change of CHD was the greatest for those older than 65 years old, with a decrease of 102.61 yuan (P = 0.030). CHD in 46–65 years old showed the most significant reduction, with an average monthly decline of 11.70 yuan (P < 0.01). BMIUE’s hypertension had the most considerable instantaneous change, which decreased 59.63 yuan (P = 0.010). BMIUE’s CHD showed the most apparent downward trend, with an average monthly decrease of 10.02 yuan (P = 0.010). CONCLUSION: The ITS analysis is an effective method of health policy evaluation. The implementation of the ZMDP can reduce the drug cost for chronic disease outpatients in the tertiary hospital and their economic burden. Follow-up policies still require targeted price adjustments in the health service system to adjust the drug cost-effectively. BioMed Central 2021-04-29 /pmc/articles/PMC8086109/ /pubmed/33926444 http://dx.doi.org/10.1186/s12913-021-06414-3 Text en © The Author(s) 2021 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 Article
Du, Jielin
Xie, Jiajia
Qian, Yan
Wu, Mingyue
Huang, Wenjing
Yin, Jin
Peng, Xin
Deng, Dan
Impact of China’s zero mark-up drug policy on drug cost of NCDs’ outpatients: an interrupted time series analysis
title Impact of China’s zero mark-up drug policy on drug cost of NCDs’ outpatients: an interrupted time series analysis
title_full Impact of China’s zero mark-up drug policy on drug cost of NCDs’ outpatients: an interrupted time series analysis
title_fullStr Impact of China’s zero mark-up drug policy on drug cost of NCDs’ outpatients: an interrupted time series analysis
title_full_unstemmed Impact of China’s zero mark-up drug policy on drug cost of NCDs’ outpatients: an interrupted time series analysis
title_short Impact of China’s zero mark-up drug policy on drug cost of NCDs’ outpatients: an interrupted time series analysis
title_sort impact of china’s zero mark-up drug policy on drug cost of ncds’ outpatients: an interrupted time series analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086109/
https://www.ncbi.nlm.nih.gov/pubmed/33926444
http://dx.doi.org/10.1186/s12913-021-06414-3
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