Evidence map›Paper›PMID 34356286›Full record

ArticleHealthcare (Basel, Switzerland)2021

The Impact of China's Zero Markup Drug Policy on Hospitalization Expenses for Inpatients in Tertiary Public Hospitals: Evidence Based on Quantile Difference-in-Difference Models.

Ziling Ni, Jie Jia, Lu Cui, Siyu Zhou, Xiaohe Wang

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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.

Ziling NiDepartment of Health Service Management, School of Public Health, Hangzhou Normal University Hangzhou Normal University, Hangzhou 311100, China.
Jie JiaDepartment of Health Service Management, School of Public Health, Hangzhou Normal University Hangzhou Normal University, Hangzhou 311100, China.
Lu CuiDepartment of Health Service Management, School of Public Health, Hangzhou Normal University Hangzhou Normal University, Hangzhou 311100, China.
Siyu ZhouDepartment of Health Service Management, School of Public Health, Hangzhou Normal University Hangzhou Normal University, Hangzhou 311100, China.
Xiaohe WangDepartment of Health Service Management, School of Public Health, Hangzhou Normal University Hangzhou Normal University, Hangzhou 311100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to determine the impact of the Zero Markup drug (ZMD) policy on hospitalization expenses for inpatients in tertiary Chinese hospitals.

methodsUsing the administrative data from hospital electronic health records (EHRs) between 2015 and 2017, we implemented the quantile difference-in-differences (QDID) estimators to evaluate the impact of the ZMD policy on hospitalization expenses while controlling for patient-level and hospital-level characteristics.

resultsAccording to the QDID models, the introduction of ZMD policy significantly induced lower drug costs for all inpatients especially at the 50th (-USD 507.84 (SE = USD 90.91), 75th (-USD 844.77 (SE = USD 149.70), and 90th (-USD 1400.00 (SE = USD 209.97)) percentiles of the overall distributions. However, the total hospitalization, diagnostic, treatment, material and services expenses for inpatients were significantly higher for the treated group than the control group. This tendency was more pronounced for inpatients in tertiary hospitals with lower expenses (in the 10th, 25th and 50th percentiles).

conclusionThe implementation of ZMD policy alone may not be enough to change the medical service providers' profit-driven behavior. The targeted supervision of hospital costs by the Chinese health administration department should be strengthened to avoid unreasonable hospital charges.

Indexed as

hospitalization expensesQDIDtertiary hospitalsZero Markup Drug Policy

Identifiers

PMID34356286
PMCPMC8307609

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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.