Risk Modelling for Quality Improvement in the Critically Ill: Making Best Use of Routinely Available Data
NCT02454257 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1007147
Last updated 2023-01-09
Summary
The aim of the proposed study is to better understand the epidemiology of, risk factors for and consequences of critical illness leading to improvements in the risk models used to underpin national clinical audits for adult general critical care, cardiothoracic critical care and in-hospital cardiac arrest using data linkage with other routinely collected data sources.
Conditions
- Critical Illness
- Heart Arrest
Sponsors & Collaborators
-
Intensive Care National Audit & Research Centre
lead OTHER
Principal Investigators
-
David Harrison, MA PhD · Head Statistician, ICNARC
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2015-08-01
- Primary Completion
- 2016-03-31
- Completion
- 2022-12-23
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