Skip to content

Hospital-wide ELectronic medical record evaluated computerised decision support system to improve outcomes of Patients with staphylococcal bloodstream infection

Hospital-wide ELectronic medical record evaluated computerised decision support system to improve outcomes of Patients with staphylococcal bloodstream infection - HELP

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
DRKS
Registry ID
DRKS00014320
Enrollment
2700
Registered
2019-05-06
Start date
2020-06-20
Completion date
Unknown
Last updated
2025-10-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

A41.0 A41.1

Interventions

Group 1: HELP App (CDSS
digital book) Group 2: TAU ("treatment as usual")

Sponsors

Universitätsklinikum Jena
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Staphylococcus spp. bacteremia

Exclusion criteria

Exclusion criteria: Patients from psychiatric wards, pediatric wards and obstetric wards. If treated according to KNS arm: death of patient within 72h after collection of first blood culture.

Design outcomes

Primary

MeasureTime frame
Coprimary endpoints (confirmatory test in the hierarchical order given here): - mortality and relapse rate due to S. aureus within 90 days in the SAB arm (non-inferiority test) and - the cumulative consumption of vancomycin in the CNS arm (superiority test)

Secondary

MeasureTime frame
- acute renal failure (KDIGO clinical practice guideline for acute kidney injury) - cumulative consumption of vancomycin, linezolid, teicoplanin, daptomycin, rifampicin, fosfomycin, flucloxacillin, cefazolin - incoming blood culture sets per institution and year - estimation of treatment costs based on ID consultation times and frequencies (only for complicated SAB) as well as technical and process-oriented endpoints from questionnaires (user survey)

Countries

Germany

Contacts

Public ContactAndré Scherag

Institut für Medizinische Statistik, Informatik und Datenwissenschaften (IMSID), Universitätsklinikum Jena

andre.scherag@med.uni-jena.de+49-(0)-3641-9-396954

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 19, 2026