Statistical analysis plan for the Steppedwedge Cluster Randomized trial of Electronic Early Notification of sepsis in hospitalized ward patients (SCREEN)

Abstract Background It is unclear whether screening for sepsis using an electronic alert in hospitalized ward patients improves outcomes. The objective of the Stepped-wedge Cluster Randomized Trial of Electronic Early Notification of Sepsis in Hospitalized Ward Patients (SCREEN) trial is to evaluate...

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Autores principales: Yaseen M. Arabi, Ramesh Kumar Vishwakarma, Hasan M. Al-Dorzi, Eman Al Qasim, Sheryl Ann Abdukahil, Fawaz K. Al-Rabeah, Huda Al Ghamdi, Ebtisam Al Ghamdi, the SCREEN Trial Group
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Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/5faa6159cec648a59dd9aea11bd8fafb
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spelling oai:doaj.org-article:5faa6159cec648a59dd9aea11bd8fafb2021-11-28T12:28:31ZStatistical analysis plan for the Steppedwedge Cluster Randomized trial of Electronic Early Notification of sepsis in hospitalized ward patients (SCREEN)10.1186/s13063-021-05788-31745-6215https://doaj.org/article/5faa6159cec648a59dd9aea11bd8fafb2021-11-01T00:00:00Zhttps://doi.org/10.1186/s13063-021-05788-3https://doaj.org/toc/1745-6215Abstract Background It is unclear whether screening for sepsis using an electronic alert in hospitalized ward patients improves outcomes. The objective of the Stepped-wedge Cluster Randomized Trial of Electronic Early Notification of Sepsis in Hospitalized Ward Patients (SCREEN) trial is to evaluate whether an electronic screening for sepsis compared to no screening among hospitalized ward patients reduces all-cause 90-day in-hospital mortality. Methods and design This study is designed as a stepped-wedge cluster randomized trial in which the unit of randomization or cluster is the hospital ward. An electronic alert for sepsis was developed in the electronic medical record (EMR), with the feature of being active (visible to treating team) or masked (inactive in EMR frontend for the treating team but active in the backend of the EMR). Forty-five clusters in 5 hospitals are randomized into 9 sequences of 5 clusters each to receive the intervention (active alert) over 10 periods, 2 months each, the first being the baseline period. Data are extracted from EMR and are compared between the intervention (active alert) and control group (masked alert). During the study period, some of the hospital wards were allocated to manage patients with COVID-19. The primary outcome of all-cause hospital mortality by day 90 will be compared using a generalized linear mixed model with a binary distribution and a log-link function to estimate the relative risk as a measure of effect. We will include two levels of random effects to account for nested clustering within wards and periods and two levels of fixed effects: hospitals and COVID-19 ward status in addition to the intervention. Results will be expressed as relative risk with a 95% confidence interval. Conclusion The SCREEN trial provides an opportunity for a novel trial design and analysis of routinely collected and entered data to evaluate the effectiveness of an intervention (alert) for a common medical problem (sepsis in ward patients). In this statistical analysis plan, we outline details of the planned analyses in advance of trial completion. Prior specification of the statistical methods and outcome analysis will facilitate unbiased analyses of these important clinical data. Trial registration ClinicalTrials.gov NCT04078594 . Registered on September 6, 2019Yaseen M. ArabiRamesh Kumar VishwakarmaHasan M. Al-DorziEman Al QasimSheryl Ann AbdukahilFawaz K. Al-RabeahHuda Al GhamdiEbtisam Al Ghamdithe SCREEN Trial GroupBMCarticleSepsisAlertScreeningqSOFAMortalityElectronic medical recordsMedicine (General)R5-920ENTrials, Vol 22, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Sepsis
Alert
Screening
qSOFA
Mortality
Electronic medical records
Medicine (General)
R5-920
spellingShingle Sepsis
Alert
Screening
qSOFA
Mortality
Electronic medical records
Medicine (General)
R5-920
Yaseen M. Arabi
Ramesh Kumar Vishwakarma
Hasan M. Al-Dorzi
Eman Al Qasim
Sheryl Ann Abdukahil
Fawaz K. Al-Rabeah
Huda Al Ghamdi
Ebtisam Al Ghamdi
the SCREEN Trial Group
Statistical analysis plan for the Steppedwedge Cluster Randomized trial of Electronic Early Notification of sepsis in hospitalized ward patients (SCREEN)
description Abstract Background It is unclear whether screening for sepsis using an electronic alert in hospitalized ward patients improves outcomes. The objective of the Stepped-wedge Cluster Randomized Trial of Electronic Early Notification of Sepsis in Hospitalized Ward Patients (SCREEN) trial is to evaluate whether an electronic screening for sepsis compared to no screening among hospitalized ward patients reduces all-cause 90-day in-hospital mortality. Methods and design This study is designed as a stepped-wedge cluster randomized trial in which the unit of randomization or cluster is the hospital ward. An electronic alert for sepsis was developed in the electronic medical record (EMR), with the feature of being active (visible to treating team) or masked (inactive in EMR frontend for the treating team but active in the backend of the EMR). Forty-five clusters in 5 hospitals are randomized into 9 sequences of 5 clusters each to receive the intervention (active alert) over 10 periods, 2 months each, the first being the baseline period. Data are extracted from EMR and are compared between the intervention (active alert) and control group (masked alert). During the study period, some of the hospital wards were allocated to manage patients with COVID-19. The primary outcome of all-cause hospital mortality by day 90 will be compared using a generalized linear mixed model with a binary distribution and a log-link function to estimate the relative risk as a measure of effect. We will include two levels of random effects to account for nested clustering within wards and periods and two levels of fixed effects: hospitals and COVID-19 ward status in addition to the intervention. Results will be expressed as relative risk with a 95% confidence interval. Conclusion The SCREEN trial provides an opportunity for a novel trial design and analysis of routinely collected and entered data to evaluate the effectiveness of an intervention (alert) for a common medical problem (sepsis in ward patients). In this statistical analysis plan, we outline details of the planned analyses in advance of trial completion. Prior specification of the statistical methods and outcome analysis will facilitate unbiased analyses of these important clinical data. Trial registration ClinicalTrials.gov NCT04078594 . Registered on September 6, 2019
format article
author Yaseen M. Arabi
Ramesh Kumar Vishwakarma
Hasan M. Al-Dorzi
Eman Al Qasim
Sheryl Ann Abdukahil
Fawaz K. Al-Rabeah
Huda Al Ghamdi
Ebtisam Al Ghamdi
the SCREEN Trial Group
author_facet Yaseen M. Arabi
Ramesh Kumar Vishwakarma
Hasan M. Al-Dorzi
Eman Al Qasim
Sheryl Ann Abdukahil
Fawaz K. Al-Rabeah
Huda Al Ghamdi
Ebtisam Al Ghamdi
the SCREEN Trial Group
author_sort Yaseen M. Arabi
title Statistical analysis plan for the Steppedwedge Cluster Randomized trial of Electronic Early Notification of sepsis in hospitalized ward patients (SCREEN)
title_short Statistical analysis plan for the Steppedwedge Cluster Randomized trial of Electronic Early Notification of sepsis in hospitalized ward patients (SCREEN)
title_full Statistical analysis plan for the Steppedwedge Cluster Randomized trial of Electronic Early Notification of sepsis in hospitalized ward patients (SCREEN)
title_fullStr Statistical analysis plan for the Steppedwedge Cluster Randomized trial of Electronic Early Notification of sepsis in hospitalized ward patients (SCREEN)
title_full_unstemmed Statistical analysis plan for the Steppedwedge Cluster Randomized trial of Electronic Early Notification of sepsis in hospitalized ward patients (SCREEN)
title_sort statistical analysis plan for the steppedwedge cluster randomized trial of electronic early notification of sepsis in hospitalized ward patients (screen)
publisher BMC
publishDate 2021
url https://doaj.org/article/5faa6159cec648a59dd9aea11bd8fafb
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