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Supporting early recognition of clinical deterioration for Mobile Vital signs monitoring of high-risk surgical patients

Supporting early recognition of clinical deterioration for Mobile Vital signs monitoring of high-risk surgical patients - MoViSupport

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON50879
Enrollment
80
Registered
2021-05-04
Start date
2021-07-05
Completion date
Unknown
Last updated
2024-04-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pre- en postoperatieve complicaties bij hoog-risico chirurgie : complications clinical deterioration

Interventions

None listed

Sponsors

Ziekenhuisgroep Twente
Lead Sponsor

Eligibility

Age
18 Years to 99 Years

Inclusion criteria

Inclusion criteria: The study population includes two patient groups: 1. Patients aged (18 years and older) undergoing elective surgery for resection of malignant tumors of the upper gastrointestinal tract (upper GI patients) 2. Patients aged (70 years and older) undergoing surgery for a hip fracture and admitted to the hospital for pre- or postoperative care (hip fracture patients)

Exclusion criteria

Exclusion criteria: 1. Contraindications for use of vital sign sensor patch (i.e. skin allergy, implanted medical devices) 2. Contact isolation

Design outcomes

Primary

MeasureTime frame
The study will result in the development of a model for prediction of deterioration requiring escalation of care. The model performance will be assessed in terms of sensitivity and false discovery rate for prediction of deterioration requiring escalation of care within 24 hours, and compared with the currently used Modified Early Warning Score.

Secondary

MeasureTime frame
The study will result in: - Insight in patterns of deterioration, which will be described as characteristics (slopes, absolute values, ratio*s, etc.) observed in vital sign and routine clinical measurements - Insight in methods that can support personalized detection of patters of deterioration - Insight in the potential clinical value of models for prediction of deterioration, which will assessed using the time between prediction of deterioration and current clinical response and compared with the currently used Modified Early Warning Score.

Countries

Netherlands

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)