Poor reporting quality and high proportion of missing data in economic evaluations alongside pragmatic trials: a cross-sectional survey
Insufficient description and reporting of missing data, along with a high proportion of missing data in pRCT-based economic evaluations, could decrease the reliability and extrapolation of conclusions, leading to misleading decision-making.
Authors
- Xiyan Zhang (ORCID: https://orcid.org/0000-0002-3194-0746)
- Ling Zuo (ORCID: https://orcid.org/0000-0002-6607-2272)
- Huazhang Wu (ORCID: https://orcid.org/0009-0004-1583-4654)
- Xin Yu (ORCID: https://orcid.org/0000-0002-4860-9355)
- Wen Hui
- Wentan Li
- Jun Hao
- Yuanyi Cai
- Ruomeng Song
Institutions
- Liverpool School of Tropical Medicine (GB)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Chongqing Public Health Medical Center (CN)
- University College London (GB)
- Chongqing Medical University (CN)
- China Medical University (CN)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1186/s12874-025-02519-z
- Citations
- 1
- Primary Topic
- Health Systems, Economic Evaluations, Quality of Life
- Type
- article
- Field-Weighted Citation Impact
- 3.13
Funders
- Ministry of Education of the People's Republic of China
- China Scholarship Council
- Sichuan Province Science and Technology Support Program