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  • 标题:Electronic early notification of sepsis in hospitalized ward patients: a study protocol for a stepped-wedge cluster randomized controlled trial
  • 本地全文:下载
  • 作者:Yaseen M. Arabi ; Abdulmohsen Alsaawi ; Mohammed Al Zahrani
  • 期刊名称:Trials
  • 印刷版ISSN:1745-6215
  • 电子版ISSN:1745-6215
  • 出版年度:2021
  • 卷号:22
  • DOI:10.1186/s13063-021-05562-5
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:Background To evaluate the effect of screening for sepsis using an electronic sepsis alert vs. no alert in hospitalized ward patients on 90-day in-hospital mortality. Methods The SCREEN trial is designed as a stepped-wedge cluster randomized controlled trial. Hospital wards (total of 45 wards, constituting clusters in this design) are randomized to have active alert vs. masked alert, 5 wards at a time, with each 5 wards constituting a sequence. The study consists of ten 2-month periods with a phased introduction of the intervention. In the first period, all wards have a masked alert for 2 months. Afterwards the intervention (alert system) is implemented in a new sequence every 2-month period until the intervention is implemented in all sequences. The intervention includes the implementation of an electronic alert system developed in the hospital electronic medical records based on the quick sequential organ failure assessment (qSOFA). The alert system sends notifications of “possible sepsis alert” to the bedside nurse, charge nurse, and primary medical team and requires an acknowledgment in the health information system from the bedside nurse and physician. The calculated sample size is 65,250. The primary endpoint is in-hospital mortality by 90 days. Discussion The trial started on October 1, 2019, and is expected to complete patient follow-up by the end of October 2021. Trial registration ClinicalTrials.gov NCT04078594. Registered on September 6, 2019 Supplementary Information The online version contains supplementary material available at 10.1186/s13063-021-05562-5.
  • 关键词:Sepsis; Alert; Screening; qSOFA; Mortality; Electronic medical records
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