Evidence map›Paper›PMID 32349722›Full record

ArticleBMC public health2020

The effects of pricing policy on the prices and supply of low-cost medicines in Shandong, China: evidence from an interrupted time series analysis.

Xuejing Rong, Jia Yin, Shuoyun Duan, Qiang Sun, Zaheer-Ud-Din Babar

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xuejing RongSchool of Health Care Management, Shandong University, Jinan, 250012, Shandong, China.
Jia YinSchool of Health Care Management, Shandong University, Jinan, 250012, Shandong, China.
Shuoyun DuanSchool of Health Care Management, Shandong University, Jinan, 250012, Shandong, China.
Qiang SunSchool of Health Care Management, Shandong University, Jinan, 250012, Shandong, China. qiangs@sdu.edu.cn.
Zaheer-Ud-Din BabarCentre for Pharmaceutical Policy and Practice Research, Department of Pharmacy, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn China, some medicines had a supply problem. In 2015, to address this problem, the Chinese government issued a policy to raise the price cap for some shorted low-cost medicines (LCMs). The objective was to assess the effects on medicine prices and supply of medicines from a medicine pricing policy reform point of view.

methodsThis study was conducted in Shandong, an eastern province of China with a population of 99.4 million. We collected procurement data of all (n = 1494) LCM medicines available between April 2014 and February 2017 from the web-based Provincial Drug Centralized Bidding Procurement System. This study used the Drug Price index and the average price to reveal the price change of LCMs and used the interrupted time series to evaluate the effects of LCM policy on medicine supply by measuring the change of monthly procurement volume, the number of products, and the average delivery time of LCMs.

resultsAfter the policy implementation in October 2015, the quarterly average price of all LCM products, especially traditional Chinese medicines, showed a sudden growth trend. Then after two-quarter implementation of policy, the price recovered to the same trend before policy intervention, which is consistent with the trend of the Drug price index. There were 466 of LCM products available in October 2015. After the policy intervention, the number of products available increased by 109.87% (n = 978) in February 2017, at a growth rate of 6.44% per month (Value = 30.02, P < 0.001). Besides after the intervention in October 2015, the monthly procurement volumes of LCMs increased rapidly, on average, at a rate of 28.93% per month (Value = 474,000, P < 0.001) for all LCMs. The average delivery time of LCMs kept on decreasing from 33.37 days to 10.69 days at a reduced rate of 3.63% (Value = - 1.21, P < 0.001) per month before the policy, while no significant changes were noted. Also, average monthly delivery time was stable at 9 days after the intervention.

conclusionsThe policy promoted the supply of low-cost medicines, which is beneficial for the Universal Health Coverage. However, future policies should focus on monitoring price change and reducing the delivery time of generic medicines.

Indexed as

Health PolicyChinaDrug CostsHumansInterrupted Time Series AnalysisPharmaceutical PreparationsPharmaceutical PreparationsCentralized procurementDelivery timeEssential medicineInterrupted time seriesMedicine shortagesPricing policySupply

Identifiers

PMID32349722
PMCPMC7191794

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.