Real-time surveillance systems: Applicability for the control of influenza in acute care

被引:5
|
作者
Quiros-Gonzalez, Victor [1 ]
Rodriguez-Perez, Paz [1 ]
Haro-Perez, Ana Ma [1 ]
Jimenez-Rodriguez, Ma Mar [1 ]
Maderuelo-Fernandez, Jose Angel [2 ]
Eiros, Jose Ma [3 ]
机构
[1] Univ Hosp Salamanca, Inst Biomed Res Salamanca IBSAL, Dept Prevent Med, Salamanca, Spain
[2] Hlth Serv Castilla & Leon SACYL, Inst Biomed Res Salamanca IBSAL, APISAL, Primary Hlth Care Res Unit Salamanca, Salamanca, Spain
[3] Univ Hosp Rio Hortega, Dept Clin Microbiol, Valladolid, Spain
关键词
cross-infection; influenza; microbiology; preventive medicine; vaccination; TRANSMISSION; VACCINATION; MANAGEMENT; OCCUPANCY; MORTALITY; WORKERS; SPREAD; VIRUS;
D O I
10.1111/irv.12720
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background The high morbidity and mortality caused by influenza viruses translate into a great impact on specialized health care. Apart from the annual vaccination, the relevance of other measures to prevent and control this infection is unknown. The objective of our research was to determine the importance of a real-time surveillance system to establish early extended transmission precautions. Methods Quasi-experimental before-and-after study comparing the influenza cases detected in hospitalized adults during the 2016/2017 season (264 patients) with those detected after the implementation of a real-time surveillance system in the 2017/2018 season (519 patients). The improvements included early microbiological diagnosis, immediate communication of results, constant updating of patient information, coordination among professionals, periodic surveillance of the adequacy of preventive measures, and greater control of roommates. The effectiveness of the intervention was determined from the nosocomial infection rate in each season. Results After the real-time surveillance system for influenza was implemented, patients with early microbiological diagnosis and immediate isolation increased significantly (13.7% vs 68.2%; P < .001). In addition, nosocomial infections decreased from 17% to 9.2% (P = .001) and overall hospital stay was significantly reduced. Assuming that the entire effect was due to the intervention, the absolute risk reduction was 7.8% and number needed to treat was 12.8. Conclusion The results in our study reveal the impact of nosocomial transmission of influenza virus in a tertiary hospital and highlight the need to supplement traditional strategies with novel methodologies such as modern surveillance systems based on early diagnosis, close case monitoring, and coordination among professionals.
引用
收藏
页码:331 / 339
页数:9
相关论文
共 50 条
  • [1] Applicability of ZigBee for Real-Time Networked Motor Control Systems
    Umirov, Ulugbek R.
    Jeong, Seong-Hyun
    Park, Jung-Il
    [J]. 2008 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-4, 2008, : 2553 - +
  • [2] A surveillance system for the real-time reporting of influenza activity
    Uphoff, H
    Groniewicz, I
    Soriano, M
    Burckhardt-Batista, I
    [J]. DISEASE MANAGEMENT & HEALTH OUTCOMES, 2004, 12 (03) : 197 - 206
  • [3] Real-Time Surveillance of Influenza Morbidity: Tracking Intensive Care Unit Resource Utilization
    Baker, Arthur W.
    Edmond, Michael B.
    Herwaldt, Loreen A.
    Chen, Luke F.
    Srikantaswamy, Sudha
    Sexton, Daniel J.
    [J]. ANNALS OF THE AMERICAN THORACIC SOCIETY, 2017, 14 (12) : 1810 - 1817
  • [4] Real-time control of video surveillance systems with program supervision techniques
    B. Georis
    F. Brémond
    M. Thonnat
    [J]. Machine Vision and Applications, 2007, 18 : 189 - 205
  • [5] Adaptive exposure control and real-time image fusion for surveillance systems
    Kao, Wen-Chung
    Hsu, Chien-Chih
    Kao, Chih-Chung
    Chen, Shou-Hung
    [J]. 2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS, 2006, : 935 - 938
  • [6] Real-time control of video surveillance systems with program supervision techniques
    Georis, B.
    Bremond, F.
    Thonnat, M.
    [J]. MACHINE VISION AND APPLICATIONS, 2007, 18 (3-4) : 189 - 205
  • [7] Real-time Surveillance Systems in badminton Training
    Li Dongyao
    Huang Jingjing
    [J]. INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY II, PTS 1-4, 2013, 411-414 : 978 - +
  • [8] Real-time reasoning: the case of surveillance systems
    Micucci, Daniela
    Oldani, Marco
    Tisato, Francesco
    [J]. ETFA 2005: 10TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, VOL 1, PTS 1 AND 2, PROCEEDINGS, 2005, : 255 - 258
  • [9] Real-time surveillance for abnormal events: the case of influenza outbreaks
    Rao, Yao
    McCabe, Brendan
    [J]. STATISTICS IN MEDICINE, 2016, 35 (13) : 2206 - 2220
  • [10] Real-time influenza surveillance in Germany – Results of a pilot project
    W. Lange
    M. Schöttler
    [J]. Medical Microbiology and Immunology, 2002, 191 : 139 - 144