Evidence map›Paper›PMID 36457568›Full record

ArticleFrontiers in medicine2022

The impact of zero markup drug policy on patients' healthcare utilization and expense: An interrupted time series study.

Zheng Zhu, Junfeng Wang, Yan Sun, Jiawei Zhang, Peien Han, Li Yang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

6 authors.

Zheng ZhuDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
Junfeng WangDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
Yan SunDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
Jiawei ZhangDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
Peien HanDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
Li YangDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To curb the unreasonable growth of pharmaceutical expenditures, Beijing implemented the zero markup drug policy (ZMDP) in public hospitals in 2017, which focused on separating drug sales from hospital revenue. The purpose of this study is to evaluate the impacts of ZMDP on healthcare expenditures and utilization for inpatients. Methods: The Beijing claims data of inpatients diagnosed with ischemic heart disease (IHD), chronic renal failure (CRF), and lung cancer (LC) was extracted from the China Health Insurance Research Association (CHIRA) database. The study employed an interrupted time series to evaluate the impacts of ZMDP on healthcare expenditures and utilization. Results: The changes in total hospitalization expenses, health insurance expenses, and out-of-pocket expenses were not statistically significant neither in level change nor in trend change for inpatients diagnosed with IHD, CRF, or LC after implementing ZMDP (all Conclusions: The ZMDP was effective in reducing drug costs, and the effects on healthcare utilization varied across diseases type. However, the increase in medical service and Chinese medicine expenses diminished the effect of containing healthcare expenses and relieving the financial burdens of patients. Policymakers are advised to take multiple and long-lasting measures, such as provider payment methods reform, volume-based drug procurement, and drug price negotiation to improve the affordability of patients thoroughly.

Indexed as

expenditureshospitalizationinterrupted time series analysisutilizationzero markup drug policy

Identifiers

PMID36457568
PMCPMC9705579

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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.