Observational studyRevista Brasileira de terapia intensiva
An electronic warning system helps reduce the time to diagnosis of sepsis.
Observational study in Revista Brasileira de terapia intensiva. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Sepsis Alerts in Emergency Departments: A Systematic Review of Accuracy and Quality Measure Impact.The western journal of emergency medicine · 2020Pooled it
- Digital Alerting and Outcomes in Patients With Sepsis: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2019Pooled it
- Roles and responsibilities of registered nurses in the early recognition and management of sepsis in acute hospital settings: a scoping review.BMJ open quality · 2025Article
- Impact of an electronic alert system for pediatric sepsis screening a tertiary hospital experience.Scientific reports · 2022Article
- The Ramathibodi early warning score as a sepsis screening tool does not reduce the timing of antibiotic administration.International journal of emergency medicine · 2022Article
- Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review.Journal of medical Internet research · 2022Article
- The Surviving Sepsis Campaign: research priorities for the administration, epidemiology, scoring and identification of sepsis.Intensive care medicine experimental · 2021Review
- Failure of vital sign normalization is more strongly associated than single measures with mortality and outcomes.The American journal of emergency medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo describe the improvements of an early warning system for the identification of septic patients on the time to diagnosis, antibiotic delivery, and mortality.
methodsThis was an observational cohort study that describes the successive improvements made over a period of 10 years using an early warning system to detect sepsis, including systematic active manual surveillance, electronic alerts via a telephonist, and alerts sent directly to the mobile devices of nurses. For all periods, after an alert was triggered, early treatment was instituted according to the institutional sepsis guidelines.
resultsIn total, 637 patients with sepsis were detected over the study period. The median triage-to-diagnosis time was reduced from 19:20 (9:10 - 38:15) hours to 12:40 (2:50 - 23:45) hours when the manual surveillance method was used (p = 0.14), to 2:10 (1:25 - 2:20) hours when the alert was sent automatically to the hospital telephone service (p = 0.014), and to 1:00 (0:30 - 1:10) hour when the alert was sent directly to the nurse's mobile phone (p = 0.016). The diagnosis-to-antibiotic time was reduced to 1:00 (0:55 - 1:30) hours when the alert was sent to the telephonist and to 0:45 (0:30 - 1:00) minutes when the alert was sent directly to the nurse's mobile phone (p = 0.02), with the maintenance of similar values over the following years. There was no difference in the time of treatment between survivors and non-survivors.
conclusionElectronic systems help reduce the triage-to-diagnosis time and diagnosis-to-antibiotic time in patients with sepsis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.