Continuous Vital Sign Monitoring in a Surgical Ward

July 8, 2026 updated by: Gørill Birkeli, University Hospital, Akershus

Continuous Vital Sign Monitoring in a Norwegian Hospital Surgical Ward: A Multi-Method Study of Patient Outcomes, Patient Safety Culture, and Nursing Staff Experiences

Unsafe patient care remains a major contributor to global morbidity and mortality. In surgical wards, postoperative patients are typically monitored intermittently using the National Early Warning Score (NEWS-2), leaving periods during which clinical deterioration may go undetected. Continuous vital sign monitoring (CVSM) using wearable sensors offers the potential for earlier identification of deterioration compared with intermittent assessments.

CVSM was introduced in a hospital ward as part of a hospital-initiated pilot implementation and is used alongside standard monitoring with NEWS-2. The purpose of the study is to evaluate this implementation.

This observational study uses a pragmatic, quasi-experimental, multi-method, longitudinal design. The overall aims of the study are to evaluate the impact of CVSM implementation on patient outcomes, to explore healthcare professionals' perceptions of patient safety culture, turnover intention and pleasure of work, and to describe their experiences with implementation.

Study Overview

Detailed Description

Unsafe care is a major contributor to global morbidity and mortality. In surgical wards, postoperative patients are typically monitored intermittently using the National Early Warning Score (NEWS-2), which may leave periods during which changes in vital signs go undetected, potentially increasing the risk of clinical deterioration. Continuous vital sign monitoring (CVSM) using wearable sensors may enable earlier detection of deterioration compared with intermittent monitoring.

This study evaluates the implementation of CVSM using 16 wearable sensors in a 29-bed gastro-surgical ward beginning in September 2025. CVSM is based on wearable sensors that continuously monitor patients' respiratory rate, heart rate, and oxygen saturation. The system transfers data to the electronic health record, and alerts are generated when predefined thresholds are exceeded and delivered to nursing staff via smartphones and workstation monitors. CVSM is implemented in addition to usual care, including intermittent NEWS-2 monitoring, in accordance with hospital protocol.

The intervention was implemented as part of a hospital-initiated pilot programme that was supported by hospital management and aimed to evaluate the feasibility and potential effects of broader CVSM adoption. The intervention ward was selected by the hospital for pragmatic reasons, based on managers' agreement to implement CVSM. Implementation was overseen by a hospital-appointed project manager. Members of the research team participated in implementation meetings and provided input on potential implementation strategies. However, responsibility for implementation decisions remained with hospital management and the clinical departments, and implementation was primarily guided by clinical priorities and operational constraints within the hospital. The primary role of the research team was to support and conduct the empirical evaluation of the intervention and its implementation.

It is hypothesised that CVSM may enable earlier detection of patient deterioration compared with intermittent monitoring alone and thereby influence patient outcomes. It is also hypothesised that CVSM may influence healthcare professionals' perceptions of patient safety culture, turnover intention, and work-related well-being. The study will further generate knowledge about healthcare professionals' experiences with the implementation.

While data collection for the studies on patient safety culture and nurses' experiences with implementation has started, the patient outcome study is currently awaiting a decision from the Norwegian Directorate of Health. Data collection for this study has not yet commenced. The studies on patient safety culture and nurses' experiences with implementation have been preregistered in the Open Science Framework (OSF).

Study Type

Observational

Enrollment (Estimated)

9600

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Gørill H. Birkeli, PhD
  • Phone Number: +47 47304895
  • Email: gobi@ahus.no

Study Locations

    • Akershus
      • Lørenskog, Akershus, Norway, 1478
        • Recruiting
        • Akershus University Hospital HF

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

The study population includes adult patients admitted to a gastro-surgical ward before and after implementation of continuous vital sign monitoring (CVSM), as well as adult patients admitted to a non-equivalent comparison ward at the same Norwegian teaching hospital. The study population also includes healthcare professionals working in these wards.

Description

Inclusion Criteria:

  • Patients aged 18 years or older admitted to the gastro-surgical ward.
  • Healthcare professionals aged 18 years or older employed in the participating wards for survey participation.
  • Nursing staff with at least 6 months of work experience and experience using CVSM for participation in qualitative focus group interviews.

Exclusion Criteria:

  • Patients with delirium.
  • Patients with cognitive impairment interfering with sensor use.
  • Patients who decline participation.
  • Patients with allergy to electrode adhesives.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Intervention ward

All patients admitted to the gastro-surgical ward during the 12-month implementation of continuous vital sign monitoring (CVSM).

Healthcare professionals (physicians, nursing assistants, and registered nurses) working predominantly in the intervention ward.

The intervention consists of continuous vital sign monitoring (CVSM) using wearable sensors applied to patients. A total of 16 sensors are implemented in a 29-bed gastro-surgical ward. The system continuously records patients' vital signs and transfers data to the electronic health record. Alerts are generated when predefined thresholds are exceeded and are delivered to nursing staff via smartphones and workstation monitors. The intervention is implemented in addition to usual practice with intermittent monitoring using the National Early Warning Score (NEWS-2), according to hospital protocol. Nursing staff receive training prior to implementation, and clinical responses to alerts are managed in accordance with hospital procedures. The intervention was implemented from September 2025 and continues during the study period.
Control group
All patients admitted to the same gastro surgical ward will be its own control group 1 year before the intervention. Patients received standard care before the intervention. This means that relevant outcomes during the implementation (2026) is compared to the same outcomes before the intervention (i.e., 2024) in the same ward.
Non-equivalent comparison group

All patients admitted to a non-equivalent comparison ward for the period spanning from January 1, 2024, to January 1, 2025, and from October 1, 2025, to October 1, 2026, during which CVSM was not implemented.

Healthcare professionals (physicians, nursing assistants, and registered nurses) working predominantly in a comparable gastro-surgical ward at the same hospital during the 12-month implementation period of CVSM in the intervention ward.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
NEWS-2 Associated with RRT Activation
Time Frame: Up to 12 months after implementation
National Early Warning Score 2 (NEWS2) associated with rapid response team (RRT) activation. NEWS2 is a physiological deterioration score ranging from 0 to 20 points. Higher scores indicate greater physiological deterioration and worse clinical status. According to hospital protocol, RRT consultation is recommended at NEWS2 ≥7. NEWS2 at the time of RRT activation will be assessed.
Up to 12 months after implementation
Patient Safety Culture (N-HSOPSC 2.0)
Time Frame: Baseline, 5 months, and 12 months after implementation
Healthcare professionals' perceptions of patient safety culture measured as changes in the ten composite dimensions and two single-item measures of the Norwegian Hospital Survey on Patient Safety Culture (N-HSOPSC 2.0). Responses are recorded using 5-point Likert scales ranging from 1 to 5. Higher scores indicate more positive perceptions of patient safety culture.
Baseline, 5 months, and 12 months after implementation
Nursing Staff Experiences with CVSM
Time Frame: Approximately 6 months after implementation
Nursing staff experiences with the implementation and perceived usefulness of continuous vital sign monitoring (CVSM) for patient safety, explored through qualitative focus group interviews. This is a qualitative outcome measure and no numerical score will be calculated.
Approximately 6 months after implementation

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Rapid Response Team (RRT) Activation
Time Frame: Up to 12 months after implementation
Number of Rapid Response Team (RRT) activation
Up to 12 months after implementation
Unplanned Transfers to Higher Level of Care
Time Frame: Up to 12 months after implementation
Number of unplanned transfers to a higher level of care (intensive care unit or postoperative care unit)
Up to 12 months after implementation
Hospital Length of Stay
Time Frame: Up to 12 months after implementation
Total hospital length of stay (hours)
Up to 12 months after implementation
NEWS-2 at Time of Clinical Deterioration
Time Frame: Up to 12 months after implementation
National Early Warning Score 2 (NEWS2) measured at the time of unplanned transfer to a higher level of care. NEWS2 is a physiological deterioration score ranging from 0 to 20 points. Higher scores indicate greater physiological deterioration and worse clinical status.
Up to 12 months after implementation
Pleasure of Work and Turnover Intention
Time Frame: Baseline, 5 months, and 12 months after implementation
Healthcare professionals' perceived pleasure of work and turnover intention measured using validated composite measures. Pleasure of work is assessed on a 4-point Likert scale (1-4) and turnover intention on a 5-point Likert scale (1-5). Higher scores indicate greater pleasure of work and lower turnover intention.
Baseline, 5 months, and 12 months after implementation

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Gørill H. Birkeli, PhD, University Hospital, Akershus

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 1, 2025

Primary Completion (Estimated)

October 1, 2026

Study Completion (Estimated)

October 1, 2026

Study Registration Dates

First Submitted

July 2, 2026

First Submitted That Met QC Criteria

July 2, 2026

First Posted (Actual)

July 8, 2026

Study Record Updates

Last Update Posted (Actual)

July 9, 2026

Last Update Submitted That Met QC Criteria

July 8, 2026

Last Verified

July 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Individual participant data (IPD) will not be shared due to legal and ethical restrictions related to the use of sensitive patient and healthcare professional data. Study documents such as the protocol will be publicly available.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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