Evidence map›Paper›PMID 41964355›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2026

A Delphi Study to Identify Priority Indicators for Formulary Selection of Innovative Anticancer Drugs in China.

Jie Zhao, Youhong Hu, Yumei Zhu, Bin Wu, Ming Hu, Min Li, Yan Liang, Jia Li, Gaoxing Qiao, Xintong Fan and 7 more

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Jie ZhaoDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0001-5527-4453
Youhong HuDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yumei ZhuSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.ORCID 0000-0002-5798-2901
Bin WuDepartment of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ming HuWest China School of Pharmacy, Sichuan University, Chengdu, China.
Min LiDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0003-4310-0151
Yan LiangDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jia LiDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Gaoxing QiaoDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xintong FanDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Helei YanDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoyun WangDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0009-0000-9367-5960
Zhixin ZhengDepartment of Pharmacy, Nanyang Central Hospital, Nanyang, China.
Xiaodan ZhangDepartment of Pharmacy, Anhui Provincial Cancer Hospital, Hefei, China.ORCID 0009-0005-4946-4740
Junwei LiDepartment of Pharmacy, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Tingting LouDepartment of Pharmacy, Huaihe Hospital of Henan University, Kaifeng, China.
Yuchen MaDepartment of Pharmacy, Xuchang Central Hospital, Xuchang, China.ORCID 0000-0001-7106-4958

Funding

Bethune Charitable Foundation
6 · The paper itself

Abstract

objectiveTo develop a multi-stakeholder, consensus-based decision support framework for prioritizing innovative anticancer drugs in Chinese hospital formularies, balancing clinical benefit, patient access, and financial sustainability.

methodsA two-round Delphi survey was conducted with a multidisciplinary expert panel (n = 62 in Round 1; n = 51 in Round 2, 82.3% retention rate) comprising clinicians, pharmacists, health administrators, and patient representatives. The initial set of 19 indicators across 9 dimensions, derived from a literature review, was iteratively refined based on panel feedback. Consensus was defined as ≥ 80% of respondents rating an indicator as 4 or 5 on a 5-point Likert scale, dispersion was summarized by interquartile range (IQR).

resultsThe panel reached a clear consensus on a structured framework comprising seven key dimensions and 16 measurable indicators. The top three prioritized dimensions were clinical benefits, safety, and economic impact. The framework incorporates policy-sensitive indicators relevant to China's healthcare system, such as pharmaceutical access and access barriers of genetic testing. Five indicators from the initial list were discarded, and two new ones were added based on expert input, with specific metrics refined for enhanced objectivity and practicality (e.g., "patient out-of-pocket expenditure per year").

conclusionThis study presents a transparent, standardized, and actionable decision-making framework to support formulary selection of innovative anticancer drugs in Chinese hospitals-particularly in resource-adequate settings. By incorporating diverse stakeholder perspectives and establishing clear evaluation criteria, the framework reduces subjectivity and supports consistent value assessment. It provides practical guidance for hospital pharmacy and therapeutics committees and contributes to more equitable, evidence-informed, and financially sustainable drug policy development in China. PATIENT OR PUBLIC CONTRIBUTION: Patient representatives participated in the first-round expert panel, where they rated candidate indicators, shared their lived experiences, and provided feedback on the interview guides and questionnaires.

Indexed as

Antineoplastic AgentsFormularies, Hospital as TopicChinaConsensusDecision Support TechniquesDelphi TechniqueHealth Services AccessibilityHumansAntineoplastic Agentsdecision frameworkDelphi methodologyhospital formulary selectioninnovative anticancer drugvalue assessment

Identifiers

PMID41964355
PMCPMC13069357

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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.