Risk Modelling for Quality Improvement in the Critically Ill: Making Best Use of Routinely Available Data
1 other identifier
observational
1,007,147
0 countries
N/A
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Aug 2015
Longer than P75 for all trials
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 20, 2015
CompletedFirst Posted
Study publicly available on registry
May 27, 2015
CompletedStudy Start
First participant enrolled
August 1, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 31, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
December 23, 2022
CompletedJanuary 9, 2023
January 1, 2023
8 months
May 20, 2015
January 6, 2023
Conditions
Outcome Measures
Primary Outcomes (3)
All cause mortality
30-days
All cause mortality
90-days
All cause mortality
1-year
Other Outcomes (4)
diabetes
up to 5 year
end-stage renal disease
up to 5 year
ROSC
at time of reanimation
- +1 more other outcomes
Study Arms (2)
Admission to ICU
Patients admitted to an adult critical care unit or cardiothoracic critical care unit
In-hospital cardiac arrest
Patients experiencing an in-hospital cardiac arrest
Eligibility Criteria
Patients admitted to an adult critical care unit or cardiothoracic critical care unit or experiencing an in-hospital cardiac arrest in an NHS acute hospital in England or Wales.
You may qualify if:
- Admission to an adult critical care unit or cardiothoracic critical care unit or in-hospital cardiac arrest
You may not qualify if:
- None
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Related Publications (1)
Ferrando-Vivas P, Shankar-Hari M, Thomas K, Doidge JC, Caskey FJ, Forni L, Harris S, Ostermann M, Gornik I, Holman N, Lone N, Young B, Jenkins D, Webb S, Nolan JP, Soar J, Rowan KM, Harrison DA. Improving risk prediction model quality in the critically ill: data linkage study [Internet]. Southampton (UK): National Institute for Health and Care Research; 2022 Dec. Available from http://www.ncbi.nlm.nih.gov/books/NBK587779/
PMID: 36542744RESULT
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
David Harrison, MA PhD
Head Statistician, ICNARC
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Head Statistician
Study Record Dates
First Submitted
May 20, 2015
First Posted
May 27, 2015
Study Start
August 1, 2015
Primary Completion
March 31, 2016
Study Completion
December 23, 2022
Last Updated
January 9, 2023
Record last verified: 2023-01
Data Sharing
- IPD Sharing
- Will share
An anonymised study dataset will be available on request from the Chief Investigator, subject to any necessary approvals