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

Bibliographic Data

ID19508372
AuthorsJie Zhao (0000-0003-3760-4038, First Affiliated Hospital of Zhengzhou University), Youhong Hu (0000-0003-1770-6272, First Affiliated Hospital of Zhengzhou University, corresponding author), Yumei Zhu (0000-0002-5798-2901, China Pharmaceutical University), Bin Wu (0000-0002-7568-1993, Shanghai Chest Hospital), Ming Hu (0000-0003-2583-1161, West China School of Pharmacy Sichuan University Chengdu China), Mingyang Hu (0009-0004-3647-4141, Sichuan University), Min Li (0000-0002-1163-8961, First Affiliated Hospital of Zhengzhou University), Yan Liang (0000-0003-0072-7536, First Affiliated Hospital of Zhengzhou University), Jie Li (0000-0002-5131-4769, Fifth Affiliated Hospital of Zhengzhou University), Jia Li (0000-0003-0253-8544, Department of Pharmacy The First Affiliated Hospital of Zhengzhou University Zhengzhou China), Gaoxing Qiao (First Affiliated Hospital of Zhengzhou University), Xintong Fan (0000-0002-2355-7691, First Affiliated Hospital of Zhengzhou University), Helei Yan (First Affiliated Hospital of Zhengzhou University), Xiaoyun Wang (0000-0001-6429-5117, First Affiliated Hospital of Zhengzhou University), Zhixin Zheng (Nanyang Institute of Technology), Xiaodan Zhang (0000-0003-3579-953X, Anhui Provincial Hospital), Junwei Li (0000-0001-8548-7767, Department of Pharmacy The Fifth Affiliated Hospital of Zhengzhou University Zhengzhou China), Tingting Lou (Henan University Huaihe Hospital and Huaihe Clinical Institute), Yuchen Ma (0009-0005-7218-7489, Xuchang University)
Year2026
Volume29
Issue2
Pagese70652-e70652
Publication date2026-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHealth Expectations (JOURNAL)
Journal identifiersISSN: 1369-6513 • E-ISSN: 1369-7625
PublisherWiley (PUBLISHER • GB)
DOI10.1111/hex.70652
PMID41964355
OpenAlexW7153478912
LanguageEN
References cited35

OBJECTIVE: To 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. METHODS: A 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). RESULTS: The 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"). CONCLUSION: This 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

China · Delphi · Delphi method · Formulary · Selection (genetic algorithm) · Delphi Technique in Research · Health Systems, Economic Evaluations, Quality of Life · Medication Adherence and Compliance

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