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Does continuous monitoring of vital signs with an alerting system reduce length of hospital stay in post-operative upper gastro-intestinal surgery patients?

Not Applicable
Completed
Conditions
High-risk upper gastro-intestinal surgical patients
Surgery
Registration Number
ISRCTN58660550
Lead Sponsor
Oxford University Hospitals NHS Foundation Trust
Brief Summary

2018 results in https://pubmed.ncbi.nlm.nih.gov/30096079/ (added 26/11/2020)

Detailed Description

Not available

Recruitment & Eligibility

Status
Completed
Sex
All
Target Recruitment
407
Inclusion Criteria

1. All patients admitted to the Oxford Radcliffe Hospitals NHS Trust for Upper Gastro-Intestinal Surgery. This will include patients undergoing the following procedures: oesophagectomy, oesophagogastrectomy, gastrectomy, whipples, liver resection, pancreatectomy, gastric bypass, billiary reconstruction and splenectomy.
2. Willing and able to give consent

Exclusion Criteria

1. Patients refusing consent
2. Children (less than 16 years old)
3. Prisoners
4. Pregnant women
5. Patients whose anatomy precludes the use of the required monitoring
6. Patients who are judged to lack capacity at the time of consent
7. Patients who cannot understand written English and for whom no translator can be found

Study & Design

Study Type
Interventional
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
ength of stay is measured from first return to the ward following initial surgery, to the time at which the surgeon deems the patient fit for hospital discharge. This will be measured once the patient has been discharged from hospital
Secondary Outcome Measures
NameTimeMethod
<br> 1. Mortality determined from hospital records at the point of hospital discharge or death<br> 2. Unplanned ICU admission determined from the ICU electronic record at the point of hospital discharge or death. It is defined as any ICU admission which occurs after initial surgery and only after the patient is admitted to the surgical ward<br> 3. Clinical deteriorations defined with a pick list using data collected from patient records by research nurses throughout hospital stay. Analysis of this will be completed after the end of the study<br> 4. Sensitivity, specificity, positive and negative prediction values of computer-modelled alerting analysed using data collected throughout hospital stay. This analysis will be completed after the end of the study<br>
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