Staff Acceptance of Remote Patient Monitoring on Intensive Care Unit

NCT ID: NCT03514173

Last Updated: 2024-02-13

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

208 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-04-04

Study Completion Date

2023-12-31

Brief Summary

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The subject of the observation study with accompanying employee survey is the evaluation of a patient remote monitoring system (Vital Sync from Medtronic, hereinafter abbreviated as "Vital Sync") in intensive care medicine.

The aim of this research project is to determine whether the use of Vital Sync on an intensive care unit is accepted by medical and nursing staff and can be integrated into everyday work as an additional visualisation and analysis tool.

Detailed Description

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In intensive care medicine, patient monitoring has become a standard that has led to a significant improvement in patient safety in recent decades. At the international level, minimum requirements for patient monitoring have been set out in guidelines and recommendations that represent milestones in patient safety, such as the Helsinki Declaration for Anaesthesiology and the Vienna Declaration for Intensive Care. With advances in digital health, there are new options for patient monitoring that may improve patient safety.

The concept of the Internet of Things has recently gained in importance. While the personal computer (PC) was long regarded as a prerequisite for making technologies accessible to people, the use of computer-supported electronic infrastructures has become ubiquitous. Today, more and more everyday devices are equipped with electronic circuits (microchip, memory chip), blurring earlier boundaries between hardware and software. In an intensive care unit - an environment with high operational reliability - ubiquitous computing means that the processing and visualization of medical data must not be limited to typical workstations at the patient's bedside. Instead, the accessibility of data relevant to medical decisions should result from clinical workflows, leading to the targeted provision of information as needed.

Although various remote patient monitoring systems from commercial providers are already available, little is known about how they can effectively support clinical processes. At the Charité, the working group "Data Science in Perioperative Care" of the Clinic for Anaesthesiology with focus on operative intensive care Charité - Universitätsmedizin Berlin, Campus Virchow and Campus Mitte is systematically evaluating the integration of such novel technologies with special consideration of the socio-technical dimension.

In the pre-implementation phase, 15 ICU staff members (physicians, nurses and respiratory therapists) will be involved into a semi-structured interview study. Results from this pre-implementation study will be validated via two independent surveys involving ICU staff members (n\>100). In the post-implementation phase, two semi-structured interview studies will be conducted with key stakeholders of the ICU until data saturation is reached (n=5-10). The focus of this post-implementation interview studies will be to analyse the usability of the installed remote patient monitoring system as well as the success of the implementation and its contributing factors.

Conditions

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Remote Patient Monitoring on Intensive Care Unit

Study Design

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Observational Model Type

OTHER

Study Time Perspective

OTHER

Interventions

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Remote Patient Monitoring

Use of remote patient monitoring

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

From the Department for Anaesthesiology and operative Intensive Care, Charité - Universitätsmedizin Berlin, Campus Virchow- Klinikum and Campus Charité Mitte, Germany

* physicians
* specialist nurses
* respiratory therapists or respiratory therapists

Exclusion Criteria

* Rejection of participation
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Charite University, Berlin, Germany

OTHER

Sponsor Role lead

Responsible Party

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Felix Balzer

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Felix Balzer, Prof.

Role: PRINCIPAL_INVESTIGATOR

Charite University, Berlin, Germany

Locations

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Charité - Universitätsmedizin, Klinik für Anästhesiologie m.S. operative Intensivmedizin

Berlin, , Germany

Site Status

Countries

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Germany

References

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Balzer F, Agha-Mir-Salim L, Ziemert N, Schmieding M, Mosch L, Prendke M, Wunderlich MM, Memmert B, Spies C, Poncette AS. Staff perspectives on the influence of patient characteristics on alarm management in the intensive care unit: a cross-sectional survey study. BMC Health Serv Res. 2023 Jul 5;23(1):729. doi: 10.1186/s12913-023-09688-x.

Reference Type DERIVED
PMID: 37407989 (View on PubMed)

Mosch LK, Poncette AS, Spies C, Weber-Carstens S, Schieler M, Krampe H, Balzer F. Creation of an Evidence-Based Implementation Framework for Digital Health Technology in the Intensive Care Unit: Qualitative Study. JMIR Form Res. 2022 Apr 8;6(4):e22866. doi: 10.2196/22866.

Reference Type DERIVED
PMID: 35394445 (View on PubMed)

Poncette AS, Mosch LK, Stablo L, Spies C, Schieler M, Weber-Carstens S, Feufel MA, Balzer F. A Remote Patient-Monitoring System for Intensive Care Medicine: Mixed Methods Human-Centered Design and Usability Evaluation. JMIR Hum Factors. 2022 Mar 11;9(1):e30655. doi: 10.2196/30655.

Reference Type DERIVED
PMID: 35275071 (View on PubMed)

Poncette AS, Mosch L, Spies C, Schmieding M, Schiefenhovel F, Krampe H, Balzer F. Improvements in Patient Monitoring in the Intensive Care Unit: Survey Study. J Med Internet Res. 2020 Jun 19;22(6):e19091. doi: 10.2196/19091.

Reference Type DERIVED
PMID: 32459655 (View on PubMed)

Poncette AS, Spies C, Mosch L, Schieler M, Weber-Carstens S, Krampe H, Balzer F. Clinical Requirements of Future Patient Monitoring in the Intensive Care Unit: Qualitative Study. JMIR Med Inform. 2019 Apr 30;7(2):e13064. doi: 10.2196/13064.

Reference Type DERIVED
PMID: 31038467 (View on PubMed)

Other Identifiers

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SARPI

Identifier Type: -

Identifier Source: org_study_id

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