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Jia MM, Liu XZ, Qi L, Dai PX, Li Q, Jiang MY, Tang WW, Tan MW, Li TT, Jiang BS, Ren YH, Rao JL, Yan ZY, Cao YL, Yang WZ, Ran H, Feng L. [Application of pretrained model based on electronic medical record in recognition of acute respiratory infection]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1543-1548. [PMID: 36372741 DOI: 10.3760/cma.j.cn1112150-20220805-00789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To evaluate the recognition of acute respiratory infection (ARI) by a pretrained model based on electronic medical records (EMRs). Methods: 38 581 EMRs were obtained from Chongqing University Three Gorges Hospital in December 2021. Bidirectional encoder representation from transformers (BERT) pretrained model was used to identify ARI in EMRs. The results of medical professionals were considered as the gold standard to calculate the sensitivity, specificity, Kappa value, and area under the curve of the receiver operating characteristic (AUC). Results: There were 3 817 EMRs in the test set, with 1 200 ARIs. A total of 1 205 cases were determined as ARI by the model, with a sensitivity of 92.67% (1 112/1 200) and a specificity of 96.45% (2 524/2 617). The model identified ARI with similar accuracy in males and females (AUCs 0.95 and 0.94, respectively), and was more accurate in identifying ARI cases in those aged less than 18 than in adults 18-59 and adults 60 and older (AUCs 0.94, 0.89 and 0.94, respectively). The current model had a better identification of ARIs in outpatient patients than that in hospitalized patients, with AUCs of 0.74 and 0.95, respectively. Conclusion: The use of the BERT pretrained model based on EMRs has a good performance in the recognition of ARI cases, especially for the outpatients and juveniles. It shows a great potential to be applied to the monitoring of ARI cases in medical institutions.
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Affiliation(s)
- M M Jia
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
| | - X Z Liu
- Department of Infection Management, Chongqing University Three Gorges Hospital, Chongqing 404000, China
| | - L Qi
- Department of Infectious Disease Control and Prevention, Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, China
| | - P X Dai
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
| | - Q Li
- Department of Infectious Disease Control and Prevention, Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, China
| | - M Y Jiang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
| | - W W Tang
- Department of Infectious Disease Control and Prevention, Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, China
| | - M W Tan
- Department of Infection Management, Chongqing University Three Gorges Hospital, Chongqing 404000, China
| | - T T Li
- Department of Infectious Disease Control and Prevention, Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, China
| | - B S Jiang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
| | - Y H Ren
- Department of Infectious Disease Prevention and Control, Wanzhou District Center for Disease Control and prevention, Chongqing 404199, China
| | - J L Rao
- Department of Infection Management, Chongqing University Three Gorges Hospital, Chongqing 404000, China
| | - Z Y Yan
- Department of Infectious Disease Prevention and Control, Wanzhou District Center for Disease Control and prevention, Chongqing 404199, China
| | - Y L Cao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
| | - W Z Yang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
| | - H Ran
- Department of Infectious Disease Prevention and Control, Wanzhou District Center for Disease Control and prevention, Chongqing 404199, China
| | - Luzhao Feng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730,China
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Jiang BS, Feng LZ. [Understanding the behavioural and social drivers of vaccine uptake: introduction and implications of World Health Organization Position Paper, 2022]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1494-1498. [PMID: 36274620 DOI: 10.3760/cma.j.cn112150-20220706-00686] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
On May 20, 2022, World Health Organization (WHO) Position Paper on Understanding the Behavioural and Social Drivers of Vaccine Uptake (BeSD) was published. This review introduced the BeSD toolkit, interventions to increase vaccine uptake, and offered WHO's position and recommendation. Based on immunization practice, this position paper had some implications for improving the vaccination coverage in China: (1) To promote the BeSD toolkit localization; (2) To integrate the measurement and monitoring of BeSD into multisectoral routine efforts; (3) To enhance the diversity and professionalization of immunization practitioners; (4) To design and carry out implementation research scientifically.
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Affiliation(s)
- B S Jiang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - L Z Feng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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Jiang BS, Yao PT, Ge YB, Yang M, Sun X, Ren JS, Chen WQ, Dai M, Li J, Li N. [Systematic review of methodological quality and reporting quality in gastric cancer screening guidelines]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:314-319. [PMID: 32187938 DOI: 10.3760/cma.j.issn.0253-9624.2020.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To systematically evaluate the quality of gastric cancer screening guidelines/recommendations, and provide a reference for the update of gastric cancer screening guidelines/recommendations in China. Methods: "guidelines/consensus/specifications/standards" , "stomach/gastric tumors" , "screening/diagnosis" , "guideline/recommendation" , "gastric cancer/gastric tumor," "early detection of cancer/screening" were searched as keywords in PubMed, Embase, Web of knowledge, China Knowledge Network, Wanfang, China Biomedical Literature Database, and Cochrane Library, as well as the US Preventive Services Working Group, the American Cancer Society, the International Agency for Research on Cancer, the Australia Cancer Council and the International Guide Collaboration Network at the end of July 2018. The inclusion criteria were independent guidelines/recommendation documents for gastric cancer screening. The exclusion criteria were guideline abstracts, interpretation and evaluation literature, duplicate publications, updated original guidelines, and clinical treatment or practice guidelines for gastric cancer. The language was limited to Chinese and English. The European Guide to Research and Evaluation Tools (AGREE Ⅱ) and Practice Guideline Reporting Standard (RIGHT) for Gastric Cancer Screening Guidelines/Recommendations were used to compare and evaluate the quality and reporting standard of gastric cancer screening guidelines/recommendations. Results: A total of five guides/recommendations were included. The results of the AGREE Ⅱ quality evaluation showed that the overall quality of five guides/recommendations was different, including one recommended for "A", one for "B", and three for "C". Each guide/recommendation scored higher in the scope and purpose, clarity, and scores were more significant in the areas of rigor and independence. In the participants, the application field scores were generally low. The RIGHT evaluation results showed that the quality of five guides/recommendations should be improved. The six items with poor report quality were background, evidence, recommendations, review and quality assurance, funding and conflict of interest statement and management, and other aspects. Conclusion: The quality of the included gastric cancer screening guidelines/recommendations is generally low, and the standardization should be strengthened.
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Affiliation(s)
- B S Jiang
- School of Public Health, Capital Medical University/Program Office for Cancer Screening in Urban China, Beijing 100069, China
| | - P T Yao
- School of Public Health, Capital Medical University/Program Office for Cancer Screening in Urban China, Beijing 100069, China
| | - Y B Ge
- School of Medical Humanities, Capital Medical University/Program Office for Cancer Screening in Urban China, Beijing 100069, China
| | - M Yang
- National Cancer Center/National Clinical Research Center for Cancer/Program Office for Cancer Screening in Urban China, National Cancer Center/Cancer Hospital, Chinese Academy of Medial Sciences and Peking Union Medical College, Beijing 100021, China
| | - X Sun
- National Cancer Center/National Clinical Research Center for Cancer/Program Office for Cancer Screening in Urban China, National Cancer Center/Cancer Hospital, Chinese Academy of Medial Sciences and Peking Union Medical College, Beijing 100021, China
| | - J S Ren
- National Cancer Center/National Clinical Research Center for Cancer/Program Office for Cancer Screening in Urban China, National Cancer Center/Cancer Hospital, Chinese Academy of Medial Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- National Cancer Center/National Clinical Research Center for Cancer/Program Office for Cancer Screening in Urban China, National Cancer Center/Cancer Hospital, Chinese Academy of Medial Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- National Cancer Center/National Clinical Research Center for Cancer/Program Office for Cancer Screening in Urban China, National Cancer Center/Cancer Hospital, Chinese Academy of Medial Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Li
- National Cancer Center/National Clinical Research Center for Cancer/Program Office for Cancer Screening in Urban China, National Cancer Center/Cancer Hospital, Chinese Academy of Medial Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- National Cancer Center/National Clinical Research Center for Cancer/Program Office for Cancer Screening in Urban China, National Cancer Center/Cancer Hospital, Chinese Academy of Medial Sciences and Peking Union Medical College, Beijing 100021, China
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