Identification of Outcome Relevant Indicators in Routine Data
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeUp to 120
SponsorCharite University, Berlin, Germany
About this trial
The availability of electronic documentation systems in patient care means that large amounts of clinical routine data are available from which conclusions can be drawn for improving patient care. Compared to conventional research approaches, a data science-oriented approach offers the possibility of identifying patterns in routine data ("pattern recognition") that are relevant for patient-centered outcomes.
Numerous projects and sub-projects can be evaluated from this data set.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Age: 0 to 120 years
Gender: female, male, diverse
Electronically documented anesthesiological or intensive care treatment in the HIS (Hospital Information System) and PDMS (Patient Data Management System) of the Charité (Department of Anesthesiology and Intensive Care Medicine, CCM/CVK/CBF) since 2016
Disqualifiers
None
Trial population
At the department for anesthesiology with a focus on operative intensive care medicine, approximately 60,000 anaesthesias are performed annually. The data sets of documentation systems used in this context date back approximately to the year 2016 and are to be considered for the development of data science-based models depending on selected QI or SOPs.
Trial design
Design model
Cohort
Time perspective
Retrospective
Treatments tested in this trial
Not listed
Trial groups
No trial groups listed
Trial outcomes
Primary outcomes
1
Mortality I
Mortality is measured by inhouse mortality.
Time frame
01.01.2016-30.04.20262
Mortality II
Mortality is measured by long-term mortality (1 year)
Time frame
01.01.2016-30.04.2026Secondary outcomes
1
Morbidity
Morbidity is evaluated by International Classification of Diseases (ICD) (10th version). /Operation codes (OPS)
Time frame
01.01.2016-30.04.20262
Accounting data
Accounting data are providid by the controlling department
Time frame
01.01.2016-30.04.20263
Functional status
The functional status of the patient is measured by routine score data. The scores, which measure physical, role, and social functioning, and mobility reflect worse/better outcome depending on the score construction.
Time frame
01.01.2016-30.04.20264
Post Intensive Care Syndrome (PICS)
The composite outcome measure "PICS" of the patient is measured according to Needham et al 2012: New or worsening physical, cognitive, and/or mental impairments that are collectively called PICS measured by Patient Health Questionnaires (PHQ-4), MiniCog, Animal Naming Test Timed Up-and-Go (TUG), Handgrip strength. The measurements will be performed, when patients present to the outpatient clinic for follow-up examinations.
Time frame
01.01.2016-30.04.2026Sponsors and contacts
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Source ClinicalTrials.gov