Literature DB >> 32092747

Effects of different mark-up drug policies on drug-related expenditures in tertiary public hospitals: an interrupted time series study in Shanghai, China, 2015-2018.

Xianji Wang1, Fen Li2, Xuemei Wang3, Xinping Zhang3, Chenxi Liu3, Dan Wang3, Haiyin Wang2, Yingyao Chen1.   

Abstract

Irrational use of drugs remains a major challenge especially in developing countries, which contributed to a heavy pharmaceutical expenditure burden. Price regulation has been taken to curb the growth of pharmaceutical expenditures in many countries. This study aimed to investigate the impact of different mark-up drug policies on drug-related expenditures in tertiary public hospitals in Shanghai, China. Data were drawn from the audited financial statement in 24 tertiary public hospitals in Shanghai from January 2015 to December 2018. Drug-related revenue data and per capita cost data pre- and post-intervention were included. Interrupted time series design was applied to assess the actual effects of Fixed Percent Mark-up Drug (FPM) policy and Zero Mark-up Drug (ZMD) policy respectively. Results showed that ZMD policy achieved better intervention effects on declining drug-related expenditures than FPM policy. Apart from a declining trend in drug proportion (coefficient = -0.0017, p = 0.031), no other significant changes were found during FPM implementation. However, ZMD policy was associated with a level decline in per capita outpatient drug cost (coefficient = -12.21, p = 0.025) and a trend decline in per capita inpatient drug cost (coefficient = -25.12, p < 0.001), as well as a level decrease (coefficient = -0.0256, p = 0.001) and a downward tendency (coefficient = -0.0018, p < 0.001) in drug proportion. ZMD policy was effective in regulating drug-related expenditures, while FPM policy was difficult to achieve expected results due to the existence of profit space. Further regulation should be strengthened in the future, especially on drug revenue and per capita drug cost.

Entities:  

Keywords:  Fixed Percent Mark-up Drug policy; Zero Mark-up Drug policy; drug proportion; drug revenue, per capita drug cost

Year:  2020        PMID: 32092747     DOI: 10.5582/bst.2019.01350

Source DB:  PubMed          Journal:  Biosci Trends        ISSN: 1881-7815            Impact factor:   2.400


  3 in total

1.  How Did Zero-Markup Medicines Policy Change Prescriptions in the Eyes of Patients?-A Retrospective Quasi-Experimental Analysis.

Authors:  Hanchao Cheng; Yuou Zhang; Jing Sun; Yuanli Liu
Journal:  Int J Environ Res Public Health       Date:  2022-09-27       Impact factor: 4.614

2.  Impact of DRGs-based inpatient service management on the performance of regional inpatient services in Shanghai, China: an interrupted time series study, 2013-2019.

Authors:  Lvfan Feng; Yuan Tian; Mei He; Jie Tang; Ying Peng; Chenjie Dong; Wenzhong Xu; Tao Wang; Jiangjiang He
Journal:  BMC Health Serv Res       Date:  2020-10-12       Impact factor: 2.655

3.  Impact of zero-mark-up medicines policy on hospital revenue structure: a panel data analysis of 136 public tertiary hospitals in China, 2012-2020.

Authors:  Hanchao Cheng; Yuou Zhang; Jing Sun; Yuanli Liu
Journal:  BMJ Glob Health       Date:  2021-11
  3 in total

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