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Construction and Validation of a Tool for Automatic Identification of Care Pathways At Risk of Sub-optimality in the Management of Severe Infections in Children (DIABACT IV)

NCT02167802 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 524

Last updated 2024-12-10

No results posted yet for this study

Summary

Community bacterial infection remains to this day a common cause of morbidity and mortality in children, which preventability is a challenge for clinicians. In a previous work, the investigators found that 76% supported children admitted to the ICU for severe bacterial infection were appraised as suboptimal and significantly associated with an increased risk of death. In this context, the investigators seek to identify indicators of extractable data PMSI and SNIIR -AM associated with a higher risk of suboptimal early taking care of children with severe bacterial infection in order to combine them and use them as a score or decision tree that the investigators will validate data from a national prospective multicenter study including 512 children admitted to the ICU for severe infection. The investigators then propose a score associated with a risk of suboptimality care to evaluate the performance of the healthcare system .

Conditions

  • Severe Infection

Sponsors & Collaborators

  • Nantes University Hospital

    lead OTHER

Principal Investigators

  • Christèle Gras Le Guen, Pr · Nantes University Hospital

Eligibility

Max Age
15 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2015-03-20
Primary Completion
2020-03-07
Completion
2020-03-07

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02167802 on ClinicalTrials.gov