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

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          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.

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          Using thematic analysis in psychology

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            User Acceptance of Computer Technology: A Comparison of Two Theoretical Models

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              The technology acceptance model: its past and its future in health care.

              Increasing interest in end users' reactions to health information technology (IT) has elevated the importance of theories that predict and explain health IT acceptance and use. This paper reviews the application of one such theory, the Technology Acceptance Model (TAM), to health care. We reviewed 16 data sets analyzed in over 20 studies of clinicians using health IT for patient care. Studies differed greatly in samples and settings, health ITs studied, research models, relationships tested, and construct operationalization. Certain TAM relationships were consistently found to be significant, whereas others were inconsistent. Several key relationships were infrequently assessed. Findings show that TAM predicts a substantial portion of the use or acceptance of health IT, but that the theory may benefit from several additions and modifications. Aside from improved study quality, standardization, and theoretically motivated additions to the model, an important future direction for TAM is to adapt the model specifically to the health care context, using beliefs elicitation methods.
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                Author and article information

                Contributors
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                Journal
                IJERGQ
                International Journal of Environmental Research and Public Health
                IJERPH
                1660-4601
                May 2023
                May 11 2023
                : 20
                : 10
                : 5794
                Article
                10.3390/ijerph20105794
                37239523
                6b4218a1-712f-4cde-98b8-080046f92ca4
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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