Wen-Sen Chen1, Wei-Hong Zhang2, Zhan-Jie Li1, Yue Yang1, Fu Chen3, Xue-Shun Ge4, Ting-Rui Wang5, Ping Fang6, Cheng-Yi Feng7, Jing Liu8, Shan-Shan Liu8, Hong-Xia Pan9, Tie-Lin Zhu10, Yuan-Yuan Tian11, Wen-Yi Wang12, Hu Xing13, Jing Yao13, Yong-Mei Yuan14, Ping Jiang15, Hong-Ping Tang16, Jun Zhou16, Jin-Cheng Zang17, Shan Lu18, Hui-Ping Huang19, Xiao-Hang Lei20, Bing-Hua Huang21, Shi-Hao Wang21, Feng-Yi Huang22, Hong-Ying Tao22, Yong-Xiang Zhang1, Bo Liu1, Hui-Fen Li1, Song-Qin Li1, Bi-Jie Hu23, Yun Liu24,25. 1. Department of Infection Control, First Affiliated Hospital of Nanjing Medical University. Nanjing 210029, China. 2. Department of Infection Control, Shengze Branch of Jiangsu Province Hospital & Jiangsu Shengze Hospital, Suzhou 215000, China. 3. Department of Infection Control, Northern Jiangsu Province Hospital, Yangzhou 225001, China. 4. Department of Infection Control, People's Hospital of Gaoyou, Yangzhou 225600, China. 5. Department of Infection Control, Affiliated Hospital of Yangzhou University, Yangzhou 225000, China. 6. Department of Infection Control, Second People's Hospital of Huai'an, Huai'an 223002, China. 7. Department of Infection Control, First People's Hospital of Changzhou, Changzhou 213003, China. 8. Department of Infection Control, First People's Hospital of Lianyungang, Lianyungang 222000, China. 9. Department of Infection Control, Taixing People's Hospital, Taizhou 225400, China. 10. Department of Infection Control, Taizhou People's Hospital, Taizhou 225400, China. 11. Department of Infection Control, Wuxi No.2 People's Hospital, Wuxi 214000, China. 12. Department of Infection Control, Yancheng First People's Hospital, Yancheng 224005, China. 13. Department of Infection Control, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China. 14. Department of Infection Control, Affiliated Hospital of Nantong University, Nantong 226001, China. 15. Department of Infection Control, First People's Hospital of Nantong, Nantong 226001, China. 16. Department of Infection Control, People's hospital of Qidong, Nantong 226200, China. 17. Department of Infection Control, Luoyang Central Hospital, Luoyang 471009, China. 18. Department of Infection Control, Kaifeng Second People's Hospital, Kaifeng 475000, China. 19. Department of Infection Control, First Affiliated Hospital of Xiamen, Xiamen 361003, China. 20. Department of Infection Control, Xi'an First Hospital, Xi'an 710002, China. 21. Department of Infection Control, Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250000, China. 22. Department of Infection Control, People's Hospital of Changshou District in Chongqing, Chongqing 401220, China. 23. Department of Infectious Disease and and Infection Control, Zhongshan Hospital, Fudan University, Shanghai 200000, China. 24. Department of Geriatrics Endocrinology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China. 25. School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 210096, China.
Abstract
BACKGROUND: Healthcare-associated infections (HAIs) are still a major health threats worldwide. Traditional surveillance methods involving manual surveillance by infection control practitioners (ICPs) for data collection processes are laborious, inefficient, and generate data of variable quality. In this study, we sought to evaluate the impact of surveillance and interaction platform system (SIPS) for HAIs surveillance compared to manual survey in tertiary general hospitals. METHODS: A large multi-center study including 21 tertiary general hospitals and 63 wards were performed to evaluate the impact of electronic SIPS for HAIs. RESULTS: We collected 4,098 consecutive patients and found that the hospitals installed with SIPS significantly increased work efficiency of ICPs achieving satisfactory diagnostic performance of HAIs with 0.73 for sensitivity, 0.81 for specificity and 0.81 area under the curve (AUC). However, there were significant heterogeneity own to regions, time of SIPS installation, departments and sample size. CONCLUSIONS: SIPS significantly improved ICPs efficiency and HAIs monitoring effectiveness, but there were shortcomings such as untimely maintenance and high cost. 2019 Annals of Translational Medicine. All rights reserved.
BACKGROUND: Healthcare-associated infections (HAIs) are still a major health threats worldwide. Traditional surveillance methods involving manual surveillance by infection control practitioners (ICPs) for data collection processes are laborious, inefficient, and generate data of variable quality. In this study, we sought to evaluate the impact of surveillance and interaction platform system (SIPS) for HAIs surveillance compared to manual survey in tertiary general hospitals. METHODS: A large multi-center study including 21 tertiary general hospitals and 63 wards were performed to evaluate the impact of electronic SIPS for HAIs. RESULTS: We collected 4,098 consecutive patients and found that the hospitals installed with SIPS significantly increased work efficiency of ICPs achieving satisfactory diagnostic performance of HAIs with 0.73 for sensitivity, 0.81 for specificity and 0.81 area under the curve (AUC). However, there were significant heterogeneity own to regions, time of SIPS installation, departments and sample size. CONCLUSIONS: SIPS significantly improved ICPs efficiency and HAIs monitoring effectiveness, but there were shortcomings such as untimely maintenance and high cost. 2019 Annals of Translational Medicine. All rights reserved.
Entities:
Keywords:
Healthcare-associated infections (HAIs); surveillance and interaction platform system (SIPS)
Authors: Courtney Hebert; Jennifer Flaherty; Justin Smyer; Jing Ding; Julie E Mangino Journal: Am J Infect Control Date: 2017-11-10 Impact factor: 2.918
Authors: Shelley S Magill; Jonathan R Edwards; Wendy Bamberg; Zintars G Beldavs; Ghinwa Dumyati; Marion A Kainer; Ruth Lynfield; Meghan Maloney; Laura McAllister-Hollod; Joelle Nadle; Susan M Ray; Deborah L Thompson; Lucy E Wilson; Scott K Fridkin Journal: N Engl J Med Date: 2014-03-27 Impact factor: 91.245
Authors: T Phuong Quan; Russell Hope; Tiphanie Clarke; Ruth Moroney; Lisa Butcher; Peter Knight; Derrick Crook; Susan Hopkins; Timothy E A Peto; Alan P Johnson; A Sarah Walker Journal: PLoS One Date: 2018-11-07 Impact factor: 3.240