How ICU quality checks affect patient outcomes and hospital costs at Charité
Official title: Retrospective Observational Study - Evaluation of Quality Indicators in Patients Receiving Intensive Care and Their Influence on Outcome Indicators and Economic Indicators
Run by Charite University, Berlin, Germany · NCT07501494 · Data updated 2026-11-12
This project will test whether following specific intensive care process steps for adult patients in selected Charité ICUs leads to better outcomes and different hospital costs.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 35000 (estimated) |
| Sponsor | Charite University, Berlin, Germany Academic / other |
| Locations | 1 site (Berlin) |
| Status | Recruiting |
| Started | March 5, 2026 |
| Main results expected | December 31, 2028 |
| Study ends | December 31, 2028 |
| Registry record updated | October 19, 2026 |
| Trial ID | NCT07501494 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (age ≥18) admitted to the specified Charité intensive care units for more than 24 hours who have complete electronic vital sign, laboratory, clinical, and hospital cost/revenue documentation are ideal candidates for inclusion.
✕Probably not a fit
Patients under 18, those with ICU stays of 24 hours or less, those lacking complete electronic clinical or cost records, or those treated outside the listed Charité units are unlikely to be included or to benefit from this analysis.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational project links routinely collected electronic ICU process data to clinical outcomes and economic records at Charité—using DIVI-derived process indicators and §21 routine data. Investigators will correlate adherence to individual and combined process indicators with outcome measures such as 30-day readmission, mortality, infection rates, and length of stay, and with economic parameters including DRG revenues and case costs. Adjustments and stratification will use indices derived from routine data (e.g., Charlson Comorbidity Index, ICD-10 secondary diagnoses, procedure codes). Eligible cases are adult ICU admissions longer than 24 hours with complete electronic monitoring, laboratory, clinical, and cost documentation from specified Charité units.
Why it matters
Potential benefit: If successful, the findings could identify which ICU care processes improve survival, reduce complications or length of stay, and help target resources to provide better care at lower or more appropriate cost.
How similar studies have gone: Process-based quality indicators from organizations like DIVI and similar programs have been associated with improved ICU care in prior reports, but large-scale linkage of these process measures to detailed economic data in German routine §21 records is less commonly reported.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients with complete, electronically documented intensive care treatment data, including vital sign monitor data and laboratory data from the patient documentation system. * Complete, electronically documented treatment data for these patients from the hospital information system (01.01.2012- 31.12.2024). * Data from cost and revenue accounting from the hospital information system, §21 routine data records. * Age ≥ 18 years * Length of stay \> 24 hours * Intensive care units from the Department of Anesthesiology and Intensive Care Medicie (CCM/CVK) of Charité - University Medicine Berlin: 2012- 2024: M101I, MPACU, WAN-S14I,WAN-S8I, WAN-PACU, 9i, WAC21i und W1i (2020-2022). Since the introduction of electronic patient records, some of these intensive care units have had different names (e.g., MAN-101i, MAN-103i, W1i). Exclusion Criteria: -none
Where it's running
-
Department of Anaesthesiolgy and Intensive Care Medicine (CCM/CVK), Charite- University Berlin
Berlin, Germany Recruiting
Study contacts
- Principal investigator: Claudia Spies, MD, Prof. — Charite University, Berlin, Germany
- Study coordinator: Claudia Spies, MD, Prof.
- Email: claudia.spies@charite.de
- Phone: +49 30 450 55 11 02
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Using artificial intelligence to improve colonoscopy detection rates
This study is testing whether using artificial intelligence during colonoscopies can help doctors find more polyps and early signs of colorectal cancer in patients.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.