Vital Signs Monitoring and Clinical Decision Support System for Early Detection of Deteriorating Patients
- Conditions
- Vital Signs MonitoringPatient DeteriorationPublic Health - Health service research
- Registration Number
- ACTRN12618001559202
- Lead Sponsor
- Auckland University of Technology
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot yet recruiting
- Sex
- All
- Target Recruitment
- 30
Inclusion Criteria
Patients on General Medicine ward of North Shore Hospital (male and female).
Exclusion Criteria
Exclusion of refusal of inform consent; Hodkinson AMT 7/10 or less (Hodkinson H. M., 1972), patients deemed unsuitable by medical or nursing staff, terminally ill patients and patients on any other monitoring device.
Reference: Hodkinson H. M. (1972). EVALUATION OF A MENTAL TEST SCORE FOR ASSESSMENT OF MENTAL IMPAIRMENT IN THE ELDERLY. Age and Ageing, 1, 233-238.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Early detection of deteriorating patient when compared to the traditional methods. We will use the historic early warning score data (for the entire duration of the study validation) and compare it with the validation dataset to analyse the early detection of deteriorating patients. Also, this outcome will be validated by agreement with the expert using Kappa analysis.[The vital signs will be collected 2-4 hourly depending on the hospital ward’s protocols until patient’s discharge. The data will be collected for 4-6 months post implementation.]
- Secondary Outcome Measures
Name Time Method Staff time saved in auto-escalation of deteriorating patient compared to the manual method. This outcome will be validated with two different methods, i.e. comparing with the current ward monitoring system and by agreement using Kappa analysis.[The escalation process could be generated upon every calculation of early warning score – 2-4 hourly until patient discharge.]