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Continuous Vital Sign Monitoring in a Surgical Ward

2026年7月8日 更新者: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.

調査の概要

詳細な説明

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).

研究の種類

観察的

入学 (推定)

9600

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究連絡先

  • 名前:Gørill H. Birkeli, PhD
  • 電話番号:+47 47304895
  • メール:gobi@ahus.no

研究場所

    • Akershus
      • Lørenskog、Akershus、ノルウェー、1478
        • 募集
        • Akershus University Hospital HF

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

  • 大人
  • 高齢者

健康ボランティアの受け入れ

はい

サンプリング方法

非確率サンプル

調査対象母集団

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.

説明

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.

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

コホートと介入

グループ/コホート
介入・治療
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.

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
NEWS-2 Associated with RRT Activation
時間枠: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)
時間枠: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
時間枠: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

二次結果の測定

結果測定
メジャーの説明
時間枠
Rapid Response Team (RRT) Activation
時間枠: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
時間枠: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
時間枠: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
時間枠: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
時間枠: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

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

捜査官

  • 主任研究者:Gørill H. Birkeli, PhD、University Hospital, Akershus

出版物と役立つリンク

研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (実際)

2025年9月1日

一次修了 (推定)

2026年10月1日

研究の完了 (推定)

2026年10月1日

試験登録日

最初に提出

2026年7月2日

QC基準を満たした最初の提出物

2026年7月2日

最初の投稿 (実際)

2026年7月8日

学習記録の更新

投稿された最後の更新 (実際)

2026年7月9日

QC基準を満たした最後の更新が送信されました

2026年7月8日

最終確認日

2026年7月1日

詳しくは

本研究に関する用語

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

いいえ

IPD プランの説明

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.

医薬品およびデバイス情報、研究文書

米国FDA規制医薬品の研究

いいえ

米国FDA規制機器製品の研究

いいえ

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