Evidence map›Paper›PMID 40767195›Full record

SynthesisInternational journal of health policy and management2025

A Systematic Review and Quality Assessment of Pharmacoeconomic Publications for China Compared to Internationally: Is the Quality of Evidence-Base Sufficient for Health Technology Assessment?

Zhixin Fan, Xu Si, Zhongxiang Wang, Liwei Zhang, Junyang Liu, Qing He, Matthew Franklin, Qiang Sun, Jia Yin

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of health policy and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Zhixin FanDepartment of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0009-0005-0635-113X
Xu SiDepartment of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0000-0002-0775-3561
Zhongxiang WangZhucheng Shiqiaozi Health Hospital, Zhucheng, China.
Liwei ZhangDepartment of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Junyang LiuDepartment of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Qing HeDepartment of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Matthew FranklinHealth Economics and Decision Science (HEDS), School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Qiang SunDepartment of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0000-0003-3056-2322
Jia YinDepartment of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0000-0001-7654-9292

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPharmacoeconomic evaluations are becoming more important in China, and their research quality directly impacts government decisions, deserving extra attention. To summarize the quality of pharmacoeconomic publications for China compared to internationally and to identify areas for improvement both from a China-specific and international perspective.

methodsFirst, we conducted a systematic review of pharmacoeconomic publications for China, with subsequent reporting quality assessment based on the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. Second, we conducted an umbrella review of pharmacoeconomic publications internationally which used a similar quality assessment. We extracted the CHEERS checklist scores for each study and converted them to percentages to facilitate comparison of results.

resultsCHEERS 2022 instrument was used to evaluate the quality of 154 pharmacoeconomic publications by Chinese scholars. Across these articles, the average quality score was 61.0%, indicating a moderate level of quality on average. There were 27 (17.5%) high-quality articles, 85 moderate quality articles (55.2%) and 42 low-quality (27.3%) articles. Out of 28 scoring items, those included in the methods section such as: health economic analysis plan, characterizing heterogeneity, characterizing distributional effects, approach to engagement with patients and others affected by the study, got low scores. In addition to the generally lower scores of international articles on items 9 (Time horizon), 18 (Characterizing heterogeneity) and 24 (Effect of uncertainty), Chinese articles also scored lower than international articles on items included in the methods and other relevant information section, eg, health economic analysis plan, perspective, discount rate, analytics and assumptions, characterizing distributional effects, approach to engagement with patients and others affected by the study, source of funding, and conflicts of interest.

conclusionThe quality of China's pharmacoeconomic publications has been improving year by year since the establishment of the National Healthcare Security Administration (NHSA) in 2018, but there is still a quality gap with similar international publications which requires further focus and improvement in study conduct and reporting standards for the evidence-base to be sufficient for health technology assessment (HTA).

Indexed as

Economics, PharmaceuticalInternationalityTechnology Assessment, BiomedicalChinaHumansHTAPharmacoecomicsQuality AssessmentSystematic ReviewUmbrella Review

Identifiers

PMID40767195
PMCPMC12257205

What OpenQuestion holds

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Registered trials

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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.