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      Sociotechnical Challenges of Digital Health in Nursing Practice During the COVID-19 Pandemic: National Study

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          Abstract

          Background

          The COVID-19 pandemic has accelerated the use of digital health innovations, which has greatly impacted nursing practice. However, little is known about the use of digital health services by nurses and how this has changed during the pandemic.

          Objective

          This study explored the sociotechnical challenges that nurses encountered in using digital health services implemented during the pandemic and, accordingly, what digital health capabilities they expect from the emerging workforce.

          Methods

          Five groups of nurses, including chief nursing information officers, nurses, clinical educators, nurse representatives at digital health vendor companies, and nurse representatives in government bodies across Australia were interviewed. They were asked about their experience of digital health during the pandemic, their sociotechnical challenges, and their expectations of the digital health capabilities of emerging nurses to overcome these challenges. Interviews were deductively analyzed based on 8 sociotechnical themes, including technical challenges, nurse-technology interaction, clinical content management, training and human resources, communication and workflow, internal policies and guidelines, external factors, and effectiveness assessment of digital health for postpandemic use.

          Results

          Sixteen participants were interviewed. Human factors and clinical workflow challenges were highly mentioned. Nurses’ lack of knowledge and involvement in digital health implementation and evaluation led to inefficient use of these technologies during the pandemic. They expected the emerging workforce to be digitally literate and actively engaged in digital health interventions beyond documentation, such as data analytics and decision-making.

          Conclusions

          Nurses should be involved in digital health interventions to efficiently use these technologies and provide safe and quality care. Collaborative efforts among policy makers, vendors, and clinical and academic industries can leverage digital health capabilities in the nursing workforce.

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          Most cited references46

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          Methods of data collection in qualitative research: interviews and focus groups.

          This paper explores the most common methods of data collection used in qualitative research: interviews and focus groups. The paper examines each method in detail, focusing on how they work in practice, when their use is appropriate and what they can offer dentistry. Examples of empirical studies that have used interviews or focus groups are also provided.
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            Digital technology and nursing care: a scoping review on acceptance, effectiveness and efficiency studies of informal and formal care technologies

            Background The existence, usage and benefits of digital technologies in nursing care are relevant topics in the light of the current discussion on technologies as possible solutions to problems such as the shortage of skilled workers and the increasing demand for long-term care. A lack of good empirical overviews of existing technologies in the present literature prompted us to conduct this review. Its purpose was to map the field of digital technologies for informal and formal care that have already been explored in terms of acceptance, effectiveness and efficiency (AEE), and to show the scope of the used methods, target settings, target groups and fields of support. Methods A systematic literature search was conducted using Medline, Scopus, CINAHL, Cochrane Library, ACM Digital Library, IEEE Xplore, the Collection of Computer Science Bibliographies, GeroLit and CareLit. In addition, project websites were manually screened for relevant publications. Results Seven hundred fifteen papers were included in the review. Effectiveness studies have been most frequently performed for ICT, robots and sensors. Acceptance studies often focussed on ICT, robots and EHR/EMR. Efficiency studies were generally rare. Many studies were found to have a low level of evidence. Experimental designs with small numbers and without control groups were the most common methods used to evaluate acceptance and effectiveness. Study designs with high evidence levels were most commonly found for ICT, robots and e-learning. Technologies evaluated for informal caregivers and children or indicated for formal care at home or in cross-sectoral care were rare. Conclusion We recommend producing high-quality evaluations on existing digital technologies for AEE in real-life settings rather than systematic reviews with low-quality studies. More focus should be placed on research into efficiency. Future research should be devoted to a closer examination of the applied AEE evaluation methods. Policymakers should provide funding to enable large-scale, long-term evaluations of technologies in the practice of care, filling the research gaps for technologies, target settings and target groups identified in this review. Electronic supplementary material The online version of this article (10.1186/s12913-019-4238-3) contains supplementary material, which is available to authorized users.
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              Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation

              In recent years, the number of digital health tools with the potential to significantly improve delivery of healthcare services has grown tremendously. However, the use of these tools in large, complex health systems remains comparatively limited. The adoption and implementation of digital health tools at an enterprise level is a challenge; few strategies exist to help tools cross the chasm from clinical validation to integration within the workflows of a large health system. Many previously proposed frameworks for digital health implementation are difficult to operationalize in these dynamic organizations. In this piece, we put forth nine dimensions along which clinically validated digital health tools should be examined by health systems prior to adoption, and propose strategies for selecting digital health tools and planning for implementation in this setting. By evaluating prospective tools along these dimensions, health systems can evaluate which existing digital health solutions are worthy of adoption, ensure they have sufficient resources for deployment and long-term use, and devise a strategic plan for implementation.
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                Author and article information

                Contributors
                Journal
                JMIR Nurs
                JMIR Nurs
                JN
                JMIR Nursing
                JMIR Publications (Toronto, Canada )
                2562-7600
                2023
                16 August 2023
                : 6
                : e46819
                Affiliations
                [1 ] School of Health and Biomedical Sciences Science, Technology, Engineering, and Mathematics College Royal Melbourne Institute of Technology University Melbourne Australia
                Author notes
                Corresponding Author: Robab Abdolkhani robab.abdolkhani@ 123456rmit.edu.au
                Author information
                https://orcid.org/0000-0002-6837-8005
                https://orcid.org/0000-0001-9690-4503
                https://orcid.org/0000-0001-5397-3496
                https://orcid.org/0000-0001-9734-6080
                https://orcid.org/0000-0002-6082-2108
                https://orcid.org/0000-0002-6741-7543
                Article
                v6i1e46819
                10.2196/46819
                10468699
                37585256
                cb36ba24-551f-4c50-81b1-c2545dad055b
                ©Karen Livesay, Sacha Petersen, Ruby Walter, Lin Zhao, Kerryn Butler-Henderson, Robab Abdolkhani. Originally published in JMIR Nursing (https://nursing.jmir.org), 16.08.2023.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Nursing, is properly cited. The complete bibliographic information, a link to the original publication on https://nursing.jmir.org/, as well as this copyright and license information must be included.

                History
                : 26 February 2023
                : 30 April 2023
                : 7 June 2023
                : 18 June 2023
                Categories
                Original Paper
                Original Paper

                nursing informatics,digital health,covid-19 pandemic,workforce,sociotechnical approach

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