IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i10p5794-d1145000.html
   My bibliography  Save this article

Continuous Vital Signs Monitoring with a Wireless Device on a General Ward: A Survey to Explore Nurses’ Experiences in a Post-Implementation Period

Author

Listed:
  • Femke L. Becking-Verhaar

    (Department of Surgery, Radboud University Medical Centre, Huispost 751, Postbus 9101, 6500 HB Nijmegen, The Netherlands)

  • Robin P. H. Verweij

    (Department of Surgery, Radboud University Medical Centre, Huispost 751, Postbus 9101, 6500 HB Nijmegen, The Netherlands)

  • Marjan de Vries

    (Department of Surgery, Radboud University Medical Centre, Huispost 751, Postbus 9101, 6500 HB Nijmegen, The Netherlands)

  • Hester Vermeulen

    (Scientific Institute for Quality of Healthcare, Radboud Institute for Health Sciences, Radboud University Medical Centre, Huispost 160, Postbus 9101, 6500 HB Nijmegen, The Netherlands)

  • Harry van Goor

    (Department of Surgery, Radboud University Medical Centre, Huispost 751, Postbus 9101, 6500 HB Nijmegen, The Netherlands)

  • Getty J. Huisman-de Waal

    (Department of Surgery, Radboud University Medical Centre, Huispost 751, Postbus 9101, 6500 HB Nijmegen, The Netherlands
    Scientific Institute for Quality of Healthcare, Radboud Institute for Health Sciences, Radboud University Medical Centre, Huispost 160, Postbus 9101, 6500 HB Nijmegen, The Netherlands)

Abstract

Background: Nurse engagement, perceived need and usefulness affect healthcare technology use, acceptance and improvements in quality, safety and accessibility of healthcare. Nurses’ opinions regarding continuous monitoring appear to be positive. However, facilitators and barriers were little studied. This study explored nurses’ post-implementation experiences of the facilitators and barriers to continuously monitoring patients’ vital signs using a wireless device on general hospital wards. Methods: This study employed a cross-sectional survey. Vocational and registered nurses from three general wards in a Dutch tertiary university hospital participated in a survey comprising open and closed questions. The data were analysed using thematic analysis and descriptive statistics. Results: Fifty-eight nurses (51.3%) completed the survey. Barriers and facilitators were identified under four key themes: (1) timely signalling and early action, (2) time savings and time consumption, (3) patient comfort and satisfaction and (4) preconditions. Conclusions: According to nurses, early detection and intervention for deteriorating patients facilitate the use and acceptance of continuously monitoring vital signs. Barriers primarily concern difficulties connecting patients correctly to the devices and system.

Suggested Citation

  • Femke L. Becking-Verhaar & Robin P. H. Verweij & Marjan de Vries & Hester Vermeulen & Harry van Goor & Getty J. Huisman-de Waal, 2023. "Continuous Vital Signs Monitoring with a Wireless Device on a General Ward: A Survey to Explore Nurses’ Experiences in a Post-Implementation Period," IJERPH, MDPI, vol. 20(10), pages 1-21, May.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:10:p:5794-:d:1145000
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/10/5794/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/10/5794/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Terri Watkins & Lynn Whisman & Pamela Booker, 2016. "Nursing assessment of continuous vital sign surveillance to improve patient safety on the medical/surgical unit," Journal of Clinical Nursing, John Wiley & Sons, vol. 25(1-2), pages 278-281, January.
    2. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    3. Stephanie K. Sprogis & Judy Currey & Julie Considine, 2019. "Patient acceptability of wearable vital sign monitoring technologies in the acute care setting: A systematic review," Journal of Clinical Nursing, John Wiley & Sons, vol. 28(15-16), pages 2732-2744, August.
    4. Wei Zhang & K Louise Barriball & Alison E While, 2014. "Nurses' attitudes towards medical devices in healthcare delivery: a systematic review," Journal of Clinical Nursing, John Wiley & Sons, vol. 23(19-20), pages 2725-2739, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Haibei Chen & Xianglian Zhao, 2023. "Use intention of green financial security intelligence service based on UTAUT," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10709-10742, October.
    2. Iyer, Pooja & Bright, Laura F., 2024. "Navigating a paradigm shift: Technology and user acceptance of big data and artificial intelligence among advertising and marketing practitioners," Journal of Business Research, Elsevier, vol. 180(C).
    3. Syed Imran Zaman & Sharfuddin Ahmed Khan & Sahar Qabool & Himanshu Gupta, 2023. "How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach," Operations Management Research, Springer, vol. 16(2), pages 904-930, June.
    4. Cristopher Siegfried Kopplin, 2021. "Two heads are better than one: matchmaking tools in coworking spaces," Review of Managerial Science, Springer, vol. 15(4), pages 1045-1069, May.
    5. Noor Irliana Mohd Rahim & Noorminshah A. Iahad & Ahmad Fadhil Yusof & Mohammed A. Al-Sharafi, 2022. "AI-Based Chatbots Adoption Model for Higher-Education Institutions: A Hybrid PLS-SEM-Neural Network Modelling Approach," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    6. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    7. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    8. Shahbaz, Muhammad & Gao, Changyuan & Zhai, LiLi & Shahzad, Fakhar & Khan, Imran, 2021. "Environmental air pollution management system: Predicting user adoption behavior of big data analytics," Technology in Society, Elsevier, vol. 64(C).
    9. Schmidt, Sebastian & Saraceni, Adriana, 2024. "Consumer acceptance of drone-based technology for last mile delivery," Research in Transportation Economics, Elsevier, vol. 103(C).
    10. Yogesh K Dwivedi & Elvira Ismagilova & Prianka Sarker & Anand Jeyaraj & Yassine Jadil & Laurie Hughes, 2023. "A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption," Information Systems Frontiers, Springer, vol. 25(4), pages 1421-1437, August.
    11. van de Sanden, Stephanie & Willems, Kim & Brengman, Malaika, 2022. "How customers motive attributions impact intentions to use an interactive kiosk in-store," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    12. María García de Blanes Sebastián & José Ramón Sarmiento Guede & Alberto Azuara Grande & David Juárez-Varón, 2024. "Analysis of factors influencing attitude and intention to use electric vehicles for a sustainable future," The Journal of Technology Transfer, Springer, vol. 49(4), pages 1347-1368, August.
    13. Kapser, Sebastian & Abdelrahman, Mahmoud & Bernecker, Tobias, 2021. "Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 183-198.
    14. Yogesh K. Dwivedi & Elvira Ismagilova & Nripendra P. Rana & Ramakrishnan Raman, 2023. "Social Media Adoption, Usage And Impact In Business-To-Business (B2B) Context: A State-Of-The-Art Literature Review," Information Systems Frontiers, Springer, vol. 25(3), pages 971-993, June.
    15. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    16. Farah Alfanur & Yasuo Kadono, 2020. "Empirical Study Of Purchase Intention And Behavior Of E-Commerce Consumers In Indonesia," Malaysian E Commerce Journal (MECJ), Zibeline International Publishing, vol. 5(1), pages 20-28, December.
    17. Soo-Joung Lee & Yun-Mi Lee & Eun Ji Seo & Youn-Jung Son, 2021. "Impact of Hospital Nurses’ Perception on Clinical Alarms and Patient Safety Culture on Alarm Management Practice," IJERPH, MDPI, vol. 18(8), pages 1-10, April.
    18. Lavaei Adaryani, Rasool & Palouj, Mojtaba & Karbasioun, Mostafa & Asadi, Ali & Gholami, Hesamedin & Kianirad, Ali & Joodi Damirchi, Milad, 2024. "Antecedents of blockchain adoption in the poultry supply chain: An extended UTAUT model," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    19. Darja Topolšek & Dario Babić & Darko Babić & Tina Cvahte Ojsteršek, 2020. "Factors Influencing the Purchase Intention of Autonomous Cars," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    20. Hailiang Wang & Jiaxin Zhang & Yan Luximon & Mingfu Qin & Ping Geng & Da Tao, 2022. "The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors," IJERPH, MDPI, vol. 19(17), pages 1-17, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:10:p:5794-:d:1145000. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.