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[Utilization of basic medical insurance data in cancer-related researches in China].
- Source :
-
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi [Zhonghua Liu Xing Bing Xue Za Zhi] 2023 Sep 10; Vol. 44 (9), pp. 1467-1472. - Publication Year :
- 2023
-
Abstract
- Objective: To explore the utilization of cancer-related data from basic medical insurance databases in China, and promote the application of medical insurance data in cancer prevention and treatment. Methods: Database PubMed, Web of Science, Wanfang, and CNKI were used to select related research papers using data from basic medical insurance system in China published by December 2021. Descriptive analysis was conducted in terms of the number of publications, types of cancer, primary research contents and author affiliations. Results: A total of 65 papers were included in the study. The number of publications increased rapidly after 2016. The most studied cancer type was lung cancer, and healthcare costs were the most common research contents. Fujian, Beijing, and Anhui have made a better use of cancer-related medical insurance databases compared to other provincial regions. The accessibility of the New Rural Cooperative Medical Scheme data was limited due to the high regional barriers, while the accessibility of the urban basic medical insurance data was relatively high. The researchers from Peking University and Fudan University had higher utilization of basic medical insurance data compared with those from other institutions. Conclusions: The utilization of cancer-related data from basic medical insurance databases in China is limited because of poor accessibility, insufficient data sharing, and regional restrictions. Thus, it is urgent to improve data accessibility and promote the integration and utilization of regional medical insurance data.
Details
- Language :
- Chinese
- ISSN :
- 0254-6450
- Volume :
- 44
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
- Publication Type :
- Academic Journal
- Accession number :
- 37743283
- Full Text :
- https://doi.org/10.3760/cma.j.cn112338-20230222-00097