Patients at risk of deterioration (and requiring intensive care unit admission) in hospital Signs and Symptoms
Conditions
Interventions
Patients will be identified by the system as likely (or not) to require intensive care unit admission. The system generated results will be compared against reality and discrepancies reviewed.
analysis of data of 5000 admissions to ICUs at the Royal Berkshire Hospital, the Churchill Hospital, Oxford and the John Radcliffe Hospital, Oxford to identify common factors to patients admitted from
analysis of 127,000 patient episodes in Portsmouth Hospital to obtain information on patents who did not require ICU admission, and compare the frequency of candidate variables between those who deter
and a modified two-round
Delphi Process to review possible candidate variables identified in the above processes and to obtain further suggestions for variables of interest.
Sponsors
University of Oxford
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Aged 16 years and over 1. Admitted to any hospital from Portsmouth Hospitals NHS Trust since 1st January 2010 or Oxford University Hospitals NHS Foundation Trust since 1st January 2014
Exclusion criteria
Exclusion criteria: 1. Patients <16 years of age 2. Patients whose data are not entered into local electronic patient records
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 1. Validated risk prediction score identifying at least 50% of deteriorating patients admitted to the ICU at least 12 hrs ahead of their admission, with a false positive rate of under 60%. This will be validated by comparing observed ICU admissions with predicted ICU admissions. The goodness-of-fit of observed to expected ICU admissions will be described using the Hosmer-Lemeshow (HL) test. This outcome will be measured during the second half of 2017 2. Data aggregation software in place capable of supplying all data fields to the algorithm 3. Working interface complete with functional underlying software and prototype graphics. A minimum success criterion would be usability scale results above average (>68%). This will be designed using Human Factors methods. This will involve process mapping and task analysis of existing workflows used to recognise deterioration of patients on the ward. Knowledge gained will be used to produce a design specification for the interface. This will then be tested formally assessing efficiency, effectiveness and user satisfaction as outlined in ISO 9421 The end of the study will be a key timepoint for overall evaluation of the outcomes from the project. | — |
Secondary
| Measure | Time frame |
|---|---|
| No secondary outcome measures | — |
Countries
United Kingdom
Contacts
Public ContactRachel Henning
Outcome results
None listed