Applying the consensus reporting items for studies in primary care checklist to improve reporting quality in primary care research in China
Year: 2024
Type: article
Abstract: In 2023, the Consensus Reporting Items for Studies in Primary Care (CRISP) Working Group introduced a consensus checklist aimed at enhancing the quality, practicality, and dissemination of research reports in general practice and primary care. The editorial team of the Chinese General Practice and Chinese General Practice Journal translated the CRISP Checklist into Chinese and conducted a review of the current status of primary care research in China. The review identifies major problems in the field, including six common problems: “author-centered orientation,” “overemphasis on authority,” “uncritically adopting international experience,” “lack of rigor in reporting methodologies,” “inclusion of excessive and redundant information,” and “lack of transparency” Finally, the editorial team encourages authors, editors, and reviewers in China to adopt the CRISP Checklist to improve the quality of primary care research reports. Additionally, the review provides specific recommendations for applying the CRISP Checklist in various subfields, such as discipline development research, clinical research , health services research , health policy research, medical education research , and community epidemiological research .
Authors: Hui Yang, Yang Wang, Qingqi Chen, Chenxi Liu, Jie Gu, Yang Zhao, Jiangmei Qin, Xinyang Cao, Elizabeth Sturgiss, William R. Phillips, Yanli Xu
Institutions: Monash Health, Monash University, Tongji University, Yangpu Hospital of Tongji University, University of Hong Kong, Huazhong University of Science and Technology, Shanghai Medical College of Fudan University, Fudan University, Zhongshan Hospital, The University of Melbourne, UNSW Sydney, The George Institute for Global Health, China National Health Development Research Center, Chinese Journal of Integrated Traditional and Western Medicine, University of Washington
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4404945913