Digital Alerts for Sepsis: a Qualitative Study
NCT05741801 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 39
Last updated 2024-08-28
Summary
Sepsis is a serious disease, most often caused by a bacterial infection, and can be treated with antibiotics. Identifying patients with sepsis as early as possible means treatment with antibiotics can be started earlier. To identify patients who may have sepsis, measurements such as high or low temperature and fast breathing rate are used to create a score showing the possibility of sepsis. Electronic Health Records (EHRs) in hospitals contain the information needed to create a score and can alert a doctor or nurse that a patient may have sepsis. Research has shown that more patients get antibiotics earlier because of hospitals using this type of digital alert. Different hospitals have used different methods to create a score and use different types of digital alerts. This research wants to find out what hospital doctors and nurses think about digital alerts for sepsis and how they use them. The investigators also want to find out what patients who have had sepsis think about hospitals using these digital alerts. Understanding how these digital alerts are used and how they affect patient care can help see how they could be used better so patients can benefit.
Conditions
Interventions
- OTHER
-
interviews
observations of healthcare professionals working in hospitals (outreach/sepsis team), one-on-one interviews with healthcare professionals, and focus groups or interviews with ex-patients/family members.
Sponsors & Collaborators
-
Institute of Cancer Research, United Kingdom
collaborator OTHER -
University of Oxford
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-11-04
- Primary Completion
- 2023-07-17
- Completion
- 2023-07-17
Countries
- United Kingdom
Study Locations
More Related Trials
-
Identification and Clinical Efficacy Analysis of Biomarkers in Sepsis Patients
NCT05911711 ·Status: UNKNOWN
-
Comparison of Sepsis Prediction Algorithms
NCT05943938 ·Status: NOT_YET_RECRUITING
-
Study of an Electronic Health Record-embedded Severe Sepsis Early Warning Alert
NCT02376842 ·Status: COMPLETED ·Phase: NA
-
Objective Sepsis Identification Tool to Study Sepsis Epidemiology
NCT04114214 ·Status: COMPLETED
-
Early PREdiction of Severe Sepsis I (ExPRES-Sepsis I) Study
NCT02188992 ·Status: COMPLETED
-
Study on the Establishment of a System for Early Warning and Prognostic Evaluation of Patients With Sepsis
NCT05229328 ·Status: UNKNOWN
-
Evaluation of the Performance of a New Rapid Bacteremia Test in the Intensive Care Patient
NCT06241248 ·Status: COMPLETED
-
Neutrophil Elastase Inhibitor in Treatment of ARDS Patients With Mechanical Ventilation Caused by Sepsis
NCT05672472 ·Status: UNKNOWN ·Phase: NA
-
Optimization of Sepsis Therapy Based on Patient-specific Digital Precision Diagnostics
NCT04571801 ·Status: COMPLETED ·Phase: NA
-
Sepsis, Severe Sepsis and Septic Shock Detection by Breath Analysis
NCT03497182 ·Status: COMPLETED ·Phase: NA
-
Early Prediction of Sepsis
NCT04570618 ·Status: COMPLETED ·Phase: NA
-
Comparison to Early Detect of the Sepsis
NCT05107297 ·Status: UNKNOWN
-
Passive Evaluation in Operational Environment of the AI Clinician Decision Support System for Sepsis Treatment
NCT05287477 ·Status: RECRUITING
-
Implementation and Evaluations of Sepsis Watch
NCT03655626 ·Status: COMPLETED ·Phase: NA
-
qSOFA in General Wards: the Accuracy in Diagnosis of Sepsis
NCT02930070 ·Status: UNKNOWN
-
A Blood Test to Diagnose Sepsis in Symptomatic Adults and Children
NCT05142813 ·Status: UNKNOWN
-
Novel Sepsis Sub-phenotypes Based on Trajectories of Vital Signs
NCT05826223 ·Status: COMPLETED
-
Sepsis: From Syndrome to Personalized Care
NCT04203979 ·Status: RECRUITING
-
Treatment Outcome With Antibiotic Use and Its Resistance Pattern Among Patient With Neonatal Sepsis
NCT05742477 ·Status: UNKNOWN
-
Diagnostic Performance of a New Bio-marker During Bacterial Sepsis
NCT02721134 ·Status: COMPLETED ·Phase: NA
-
Early Prediction of Sepsis by Using Metabolomics
NCT03996759 ·Status: UNKNOWN
-
Management of Sepsis in Resource Limited Settings Using a Delphi Method.
NCT05909384 ·Status: COMPLETED
-
the Effect of Gut Microbiota on the Prognosis of Sepsis
NCT02768324 ·Status: UNKNOWN
-
Procalcitonin Monitoring May Decrease Antibiotic Use in the Intensive Care Unit
NCT01085994 ·Status: UNKNOWN
-
Evolution of Muscle Function, Breathlessness and Quality of Life Following Intra or Extra-Abdominal Sepsis in ICU Patients
NCT06010186 ·Status: RECRUITING ·Phase: NA