Cargando…
Impact of the zero-mark-up drug policy on drug-related expenditures and use in public hospitals, 2016–2018: an interrupted time series study in Shaanxi
OBJECTIVE: The aim of this study was to measure the impact of zero-mark-up drug policy (ZMDP) on drug-related expenditures and use in urban hospitals. DESIGN: This was a retrospective observational study of trends in drug expenses and use in the context of the ZMDP using an interrupted time series a...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692976/ https://www.ncbi.nlm.nih.gov/pubmed/33243788 http://dx.doi.org/10.1136/bmjopen-2020-037034 |
_version_ | 1783614637508395008 |
---|---|
author | Yan, Kangkang Yang, Caijun Zhang, Hongli Ye, Dan Liu, Shengyuan Chang, Jie Jiang, Minghuan Zhao, Mingyue Fang, Yu |
author_facet | Yan, Kangkang Yang, Caijun Zhang, Hongli Ye, Dan Liu, Shengyuan Chang, Jie Jiang, Minghuan Zhao, Mingyue Fang, Yu |
author_sort | Yan, Kangkang |
collection | PubMed |
description | OBJECTIVE: The aim of this study was to measure the impact of zero-mark-up drug policy (ZMDP) on drug-related expenditures and use in urban hospitals. DESIGN: This was a retrospective observational study of trends in drug expenses and use in the context of the ZMDP using an interrupted time series analysis. SETTING: Twelve hospitals (three tertiary hospitals and nine secondary hospitals) in Xi’an, which is the capital of Shaanxi Province in Western China. DATA AND PARTICIPANTS: The prescription information for all outpatients and inpatients in the study hospitals from January 2016 to April 2018 was used in this study. INTERVENTIONS: The Chinese government announced the policy intervention measure of the ZMDP, which was implemented in all public hospitals as of 1 April 2017. PRIMARY MEASURES: Monthly drug expenditures, monthly medical expenditures, the percentage of drug expenditures among total medical expenditures, the average outpatient drug expenditure per visit, the percentage of prescriptions that include an injection and the percentage of prescriptions that include an antibiotic. RESULTS: Monthly total medical expenses increased in both tertiary and secondary hospitals after the ZMDP was implemented. In tertiary hospitals, the average outpatient drug expenditures per visit showed a slow decreasing trend before the intervention and an increasing trend after the intervention, with statistically significant changes in both the level (p<0.001) and the trend (p=0.02). Secondary hospitals showed a slow increasing trend both before and after the policy implementation, with no significant change in the trend (p=0.205). The proportion of prescriptions, including injections, was over 20% in secondary hospitals and less than 20% in tertiary hospitals, with no significant changes to this indicator observed after implementation of ZMDP. CONCLUSIONS: The effect of the ZMDP on drug-related expenditures and use in Chinese public hospitals was not substantially evident. Future pharmaceutical reform measures should give more consideration to physician prescription behaviours. |
format | Online Article Text |
id | pubmed-7692976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-76929762020-12-09 Impact of the zero-mark-up drug policy on drug-related expenditures and use in public hospitals, 2016–2018: an interrupted time series study in Shaanxi Yan, Kangkang Yang, Caijun Zhang, Hongli Ye, Dan Liu, Shengyuan Chang, Jie Jiang, Minghuan Zhao, Mingyue Fang, Yu BMJ Open Health Policy OBJECTIVE: The aim of this study was to measure the impact of zero-mark-up drug policy (ZMDP) on drug-related expenditures and use in urban hospitals. DESIGN: This was a retrospective observational study of trends in drug expenses and use in the context of the ZMDP using an interrupted time series analysis. SETTING: Twelve hospitals (three tertiary hospitals and nine secondary hospitals) in Xi’an, which is the capital of Shaanxi Province in Western China. DATA AND PARTICIPANTS: The prescription information for all outpatients and inpatients in the study hospitals from January 2016 to April 2018 was used in this study. INTERVENTIONS: The Chinese government announced the policy intervention measure of the ZMDP, which was implemented in all public hospitals as of 1 April 2017. PRIMARY MEASURES: Monthly drug expenditures, monthly medical expenditures, the percentage of drug expenditures among total medical expenditures, the average outpatient drug expenditure per visit, the percentage of prescriptions that include an injection and the percentage of prescriptions that include an antibiotic. RESULTS: Monthly total medical expenses increased in both tertiary and secondary hospitals after the ZMDP was implemented. In tertiary hospitals, the average outpatient drug expenditures per visit showed a slow decreasing trend before the intervention and an increasing trend after the intervention, with statistically significant changes in both the level (p<0.001) and the trend (p=0.02). Secondary hospitals showed a slow increasing trend both before and after the policy implementation, with no significant change in the trend (p=0.205). The proportion of prescriptions, including injections, was over 20% in secondary hospitals and less than 20% in tertiary hospitals, with no significant changes to this indicator observed after implementation of ZMDP. CONCLUSIONS: The effect of the ZMDP on drug-related expenditures and use in Chinese public hospitals was not substantially evident. Future pharmaceutical reform measures should give more consideration to physician prescription behaviours. BMJ Publishing Group 2020-11-26 /pmc/articles/PMC7692976/ /pubmed/33243788 http://dx.doi.org/10.1136/bmjopen-2020-037034 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://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/. |
spellingShingle | Health Policy Yan, Kangkang Yang, Caijun Zhang, Hongli Ye, Dan Liu, Shengyuan Chang, Jie Jiang, Minghuan Zhao, Mingyue Fang, Yu Impact of the zero-mark-up drug policy on drug-related expenditures and use in public hospitals, 2016–2018: an interrupted time series study in Shaanxi |
title | Impact of the zero-mark-up drug policy on drug-related expenditures and use in public hospitals, 2016–2018: an interrupted time series study in Shaanxi |
title_full | Impact of the zero-mark-up drug policy on drug-related expenditures and use in public hospitals, 2016–2018: an interrupted time series study in Shaanxi |
title_fullStr | Impact of the zero-mark-up drug policy on drug-related expenditures and use in public hospitals, 2016–2018: an interrupted time series study in Shaanxi |
title_full_unstemmed | Impact of the zero-mark-up drug policy on drug-related expenditures and use in public hospitals, 2016–2018: an interrupted time series study in Shaanxi |
title_short | Impact of the zero-mark-up drug policy on drug-related expenditures and use in public hospitals, 2016–2018: an interrupted time series study in Shaanxi |
title_sort | impact of the zero-mark-up drug policy on drug-related expenditures and use in public hospitals, 2016–2018: an interrupted time series study in shaanxi |
topic | Health Policy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692976/ https://www.ncbi.nlm.nih.gov/pubmed/33243788 http://dx.doi.org/10.1136/bmjopen-2020-037034 |
work_keys_str_mv | AT yankangkang impactofthezeromarkupdrugpolicyondrugrelatedexpendituresanduseinpublichospitals20162018aninterruptedtimeseriesstudyinshaanxi AT yangcaijun impactofthezeromarkupdrugpolicyondrugrelatedexpendituresanduseinpublichospitals20162018aninterruptedtimeseriesstudyinshaanxi AT zhanghongli impactofthezeromarkupdrugpolicyondrugrelatedexpendituresanduseinpublichospitals20162018aninterruptedtimeseriesstudyinshaanxi AT yedan impactofthezeromarkupdrugpolicyondrugrelatedexpendituresanduseinpublichospitals20162018aninterruptedtimeseriesstudyinshaanxi AT liushengyuan impactofthezeromarkupdrugpolicyondrugrelatedexpendituresanduseinpublichospitals20162018aninterruptedtimeseriesstudyinshaanxi AT changjie impactofthezeromarkupdrugpolicyondrugrelatedexpendituresanduseinpublichospitals20162018aninterruptedtimeseriesstudyinshaanxi AT jiangminghuan impactofthezeromarkupdrugpolicyondrugrelatedexpendituresanduseinpublichospitals20162018aninterruptedtimeseriesstudyinshaanxi AT zhaomingyue impactofthezeromarkupdrugpolicyondrugrelatedexpendituresanduseinpublichospitals20162018aninterruptedtimeseriesstudyinshaanxi AT fangyu impactofthezeromarkupdrugpolicyondrugrelatedexpendituresanduseinpublichospitals20162018aninterruptedtimeseriesstudyinshaanxi |