ArticleBMC nursing2022
Nurses' experiences with continuous vital sign monitoring on the general surgical ward: a qualitative study based on the Behaviour Change Wheel.
Article in BMC nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- From perception to response: translational progress implementation challenges of wearable non-invasive continuous vital sign monitoring in early warning for inpatients.Frontiers in physiology · 2026Pooled it
- Wearable Electronic Monitoring of Vital Signs in Hospitalised Adults: A Nursing Focused Scoping Review of Clinical, Economic and Implementation Outcomes.Journal of advanced nursing · 2026Article
- Review
- Transition from mandatory to discretionary nurse-measured MEWS assessment in a continuously monitored surgical ward: Diagnostic performance of wearable-derived early warning scores.Journal of clinical monitoring and computing · 2026Article
- Nurses' Behaviours and Implementation Factors Towards Promoting Mobility Among Hospitalized Older Adults in China: A Mixed Method Study.Nursing open · 2026Observational
- Article
- Remote Monitoring With a Reusable Device Upon Implementation on a Surgical Department (REQUEST Trial).World journal of surgery · 2026Observational
- The Usability of Continuous Monitoring Devices With Deterioration Alerting Systems in Noncritical Care Units: Scoping Review.Interactive journal of medical research · 2026Review
- Alarm Management Competence in Clinical Nursing Practice: An Evolutionary Concept Analysis.Journal of nursing management · 2026Review
- Factors Associated With the Usability and Adoption of Continuous Monitoring Devices With Deterioration Alerting Systems in Acute Hospital Non-ICU Settings: A Mixed Methods Study.Journal of nursing management · 2026Article
- Nurses' experiences with inhospital continuous monitoring of vital signs in general wards: A systematic review.PLOS digital health · 2025Article
- Feasibility study of the use of a wearable vital sign patch in an intensive care unit setting.Journal of clinical monitoring and computing · 2025Article
- A Guide to Measuring Heart and Respiratory Rates Based on Off-the-Shelf Photoplethysmographic Hardware and Open-Source Software.Sensors (Basel, Switzerland) · 2024Article
- Article
- Three Years of Continuous Vital Signs Monitoring on the General Surgical Ward: Is It Sustainable? A Qualitative Study.Journal of clinical medicine · 2024Article
- Impact of wearable wireless continuous vital sign monitoring in abdominal surgical patients: before-after study.BJS open · 2024Article
- Attitude toward vital signs monitoring and its predictors among clinical nurses in Saudi Arabia.Frontiers in public health · 2024Article
- Lessons Learned from Telemonitoring in an Outpatient Bariatric Surgery Pathway-Secondary Outcomes of a Patient Preference Clinical Trial.Obesity surgery · 2023Article
- Implementing Wearable Sensors for Clinical Application at a Surgical Ward: Points to Consider before Starting.Sensors (Basel, Switzerland) · 2023Article
- Continuous Vital Signs Monitoring with a Wireless Device on a General Ward: A Survey to Explore Nurses' Experiences in a Post-Implementation Period.International journal of environmental research and public health · 2023Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundTo support early recognition of clinical deterioration on a general ward continuous vital signs monitoring (CMVS) systems using wearable devices are increasingly being investigated. Although nurses play a crucial role in successful implementation, reported nurse adoption and acceptance scores vary significantly. In-depth insight into the perspectives of nurses regarding CMVS is lacking. To this end, we applied a theoretical approach for behaviour change derived from the Behaviour Change Wheel (BCW).
aimTo provide insight in the capability, opportunity and motivation of nurses working with CMVS, in order to inform future implementation efforts.
methodsA qualitative study was conducted, including twelve nurses of a surgical ward in a tertiary teaching hospital with previous experience of working with CMVS. Semi-structured interviews were audiotaped, transcribed verbatim, and analysed using thematic analysis. The results were mapped onto the Capability, Opportunity, Motivation - Behaviour (COM-B) model of the BCW.
resultsFive key themes emerged. The theme 'Learning and coaching on the job' linked to Capability. Nurses favoured learning about CVSM by dealing with it in daily practice. Receiving bedside guidance and coaching was perceived as important. The theme 'interpretation of vital sign trends' also linked to Capability. Nurses mentioned the novelty of monitoring vital sign trends of patients on wards. The theme 'Management of alarms' linked to Opportunity. Nurses perceived the (false) alarms generated by the system as excessive resulting in feelings of irritation and uncertainty. The theme 'Integration and compatibility with clinical workflow' linked to Opportunity. CVSM was experienced as helpful and easy to use, although integration in mobile devices and the EMR was highly favoured and the management of clinical workflows would need improvement. The theme 'Added value for nursing care' linked to Motivation. All nurses recognized the potential added value of CVSM for postoperative care.
conclusionOur findings suggest all parts of the COM-B model should be considered when implementing CVSM on general wards. When the themes in Capability and Opportunity are not properly addressed by selecting interventions and policy categories, this may negatively influence the Motivation and may compromise successful implementation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.